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witerforcing/WriterForcing | ['text generation'] | ['WriterForcing: Generating more interesting story endings'] | model/preprocess_keywords.py evaluate_attributes/evaluate_story_cloze.py bert-classification-generic-story.py outputs/calculate_metrics.py Seq2Seq/Encoder_multi_layer.py Seq2Seq/AttentionDecoder_key_multi_layer.py model/utils.py model/seq2seq_storybaseline.py model/model_train_seq2seq.py InputFeatures MyDataset accuracy InputExample _truncate_seq_pair SingleSentenceProcessor convert_examples_to_features main DoubleSentenceProcessor DataProcessor read_output_file get_probabilites_bert evaluate_one_model format_into_bert_dst write_probabilities read_probs read_file compare_models get_confusion_matrix generate_predictions_keywords print_outputs_in_words evaluate exp_lr_scheduler test get_outputs_in_words get_bleu_per_sentence trainIters main train word_ids_to_sentence generate_predictions get_blue_per_batch DataTestIterator Target_class ROCstories_data Vocab DataIterator dotdict Story_model save_model_dict save_model eval_saved_model get_loss test_model load_evalIters load_model_dict main Decoder Encoder join text_b InputFeatures convert_tokens_to_ids _truncate_seq_pair tokenize guid info append text_a enumerate len pop len print item zip append argmax BertAdam ArgumentParser save seed str device_count convert_examples_to_features parse_args manual_seed_all param_groups get_world_size mean softmax info manual_seed enumerate join learning_rate makedirs output_results_file_name step output_predictions_file_name zero_grad DataParallel DataLoader output_dir do_train eval_batch_size list num_classes DDP max_seq_length DistributedSampler device_num get_labels FusedAdam to init_process_group lower eval trange MyDataset add_argument accuracy tqdm input_train_file_name get_dev_examples train bool gradient_accumulation_steps from_pretrained get_train_examples model tuple FP16_Optimizer data_dir set_device half warmup_linear SequentialSampler state_dict fp16 load print named_parameters numpy local_rank train_batch_size device tensor TensorDataset format num_train_epochs int warmup_proportion bert_model backward RandomSampler input_test_file_name len print confusion_matrix append float split str read_output_file wait get_probabilites_bert format_into_bert_dst write_probabilities read_file gpu Popen append read_probs zip print eval len str print len close keyword_attention eval itf_loss mkdir open pop list filter sentence_bleu append tolist get_bleu_per_sentence zip tensor array join print tolist tensor array tensor tolist array t tolist vocab join list write src1 trg get_outputs_in_words zip word_ids_to_sentence vocab join list write src1 trg get_outputs_in_words posts1_keywords zip word_ids_to_sentence kl_criterion view model criterion backward clip_grad_norm_ zero_grad step src1 tqdm trg parameters permute normalize keyword_scores1 enumerate print param_groups format vocab_frequency train_iterator Adam MSELoss itf_loss range CrossEntropyLoss save_model_dict epoch exp_lr_scheduler test valid_iterator test_iterator deepcopy norm evaluate print parameters train vocab gen_model TRG strftime gmtime ROCstories_data trainIters load_evalIters setattr get __delitem__ __setitem__ evaluate print SGD parameters valid_iterator load_model_dict CrossEntropyLoss range len criterion model eval max CrossEntropyLoss enumerate print state_dict save makedirs load eval save makedirs load eval load_state_dict train makedirs clean_sentence readlines distinct_ngrams file append range split | witerforcing/WriterForcing | 4,100 |
wluper/retrograph | ['common sense reasoning'] | ['Common Sense or World Knowledge? Investigating Adapter-Based Knowledge Injection into Pretrained Transformers'] | siqa_calc_acc_testset.py retrograph/modeling/__init__.py download_utility/download_glue.py training_utility/run_copa.py archive/run_regression_adapter.py training_utility/siqa_preprocessor.py training_utility/run_pretraining_wo_nsp_adapter.py training_utility/run_classifier.py training_utility/run_pretraining_adapter.py data_utility/create_pretraining_data.py retrograph/modeling/metrics_extension.py training_utility/run_copa_adapter.py training_utility/copa_preprocessor.py results_utility/parse_predictions.py retrograph/modeling/optimization.py download_utility/download_relations.py archive/create_pretraining_data.py archive/run_classifier_adapter.py download_utility/download_bert.py training_utility/run_pretraining_wo_nsp.py training_utility/run_regression_adapter_tune_all.py data_utility/create_pretraining_data_wo_nsp.py retrograph/training/__init__.py utility/s3_upload.py utility/ec2.py training_utility/run_commonsenseqa_adapter.py training_utility/run_regression.py results_utility/fetcher.py retrograph/modeling/tokenization.py training_utility/run_pretraining.py utility/ec2_download.py training_utility/run_siqa.py training_utility/run_classifier_adapter_tune_all.py retrograph/modeling/modeling.py training_utility/run_commonsenseqa.py randomwalks_utility/random_walks.py archive/run_pretraining_adapter.py retrograph/modeling/modeling_adapter.py training_utility/run_siqa_adapters.py retrograph/training/preprocessors.py download_utility/download_commonsenseqa.py retrograph/__init__.py utility/s3_download.py setup.py retrograph/modeling/optimization_adapter.py randomwalks_utility/preprocess_cn.py randomwalks_utility/create_corpora_from_random_walks.py TrainingInstance create_int_feature create_instances_from_document create_training_instances write_instance_to_example_files main create_float_feature truncate_seq_pair create_masked_lm_predictions WNLIProcessor RTEProcessor ColaProcessor main_run_classifier MnliProcessor InputExample STSBProcessor SICKEntailmentProcessor model_fn_builder file_based_convert_examples_to_features convert_examples_to_features DiagnosticProcessor DataProcessor XnliProcessor SST2Processor create_model InputFeatures input_fn_builder _truncate_seq_pair main convert_single_example QQPProcessor QNLIProcessor MrpcProcessor file_based_input_fn_builder TRECProcessor get_masked_lm_output gather_indexes get_next_sentence_output input_fn_builder _decode_record main model_fn_builder create_model InputFeatures input_fn_builder ColaProcessor main_run_classifier file_based_input_fn_builder InputExample STSBProcessor _truncate_seq_pair file_based_convert_examples_to_features convert_examples_to_features main model_fn_builder DataProcessor convert_single_example TrainingInstance create_int_feature create_instances_from_document create_training_instances write_instance_to_example_files main create_float_feature truncate_seq_pair create_masked_lm_predictions TrainingInstance create_int_feature create_instances_from_document create_training_instances write_instance_to_example_files main create_float_feature truncate_seq_pair create_masked_lm_predictions _move_unzipped_content download_bert_zip unzip_bert get_name_from_link main download_and_extract make_dir download_and_extract format_mrpc get_tasks main download_diagnostic main download get_relations chunks process_walks generate_corpus_from_walks main create_relationship_token load_walks main create_joined_assertions_for_random_walks load_random_walk alias_draw analyze_graph Graph alias_setup read_graph main generate_random_walks_from_assertions main plot_task fetch_results output_results_as_csv main parse_predictions write_fake_predictions mcc _aggregate_across_towers _remove_squeezable_dimensions embedding_lookup reshape_from_matrix dropout assert_rank reshape_to_matrix layer_norm_and_dropout get_shape_list gelu create_initializer BertConfig attention_layer get_activation layer_norm embedding_postprocessor transformer_model create_attention_mask_from_input_mask get_assignment_map_from_checkpoint BertModel get_shape_list embedding_postprocessor create_attention_mask_from_input_mask reshape_from_matrix reshape_to_matrix assert_rank layer_norm_and_dropout attention_layer layer_norm create_initializer get_assignment_map_from_checkpoint embedding_lookup dropout gelu get_adapter BertConfig transformer_model get_activation BertModel feedforward_adapter create_optimizer_multitask create_optimizer AdamWeightDecayOptimizer create_optimizer AdamWeightDecayOptimizer convert_by_vocab FullTokenizer BasicTokenizer convert_ids_to_tokens WordpieceTokenizer printable_text convert_tokens_to_ids load_vocab whitespace_tokenize convert_to_unicode _is_whitespace _is_control write_vocab_from_fasttext _is_punctuation SST2Processor WNLIProcessor QQPProcessor RTEProcessor QNLIProcessor MrpcProcessor ColaProcessor MnliProcessor InputExample STSBProcessor DiagnosticProcessor DataProcessor SICKEntailmentProcessor TRECProcessor XnliProcessor COPAProcessor DataProcessor InputExample WNLIProcessor RTEProcessor ColaProcessor main_run_classifier MnliProcessor InputExample STSBProcessor SICKEntailmentProcessor model_fn_builder file_based_convert_examples_to_features convert_examples_to_features DiagnosticProcessor DataProcessor XnliProcessor SST2Processor create_model InputFeatures input_fn_builder _truncate_seq_pair main convert_single_example QQPProcessor QNLIProcessor MrpcProcessor file_based_input_fn_builder TRECProcessor WNLIProcessor RTEProcessor ColaProcessor main_run_classifier MnliProcessor InputExample STSBProcessor SICKEntailmentProcessor model_fn_builder file_based_convert_examples_to_features convert_examples_to_features DiagnosticProcessor DataProcessor XnliProcessor SST2Processor create_model InputFeatures input_fn_builder _truncate_seq_pair main convert_single_example QQPProcessor QNLIProcessor MrpcProcessor file_based_input_fn_builder TRECProcessor create_model CommonsenseQAProcessor file_based_input_fn_builder example_to_token_ids_segment_ids_label_ids InputExample DataProcessor main model_fn_builder file_based_convert_examples_to_features create_model CommonsenseQAProcessor file_based_input_fn_builder example_to_token_ids_segment_ids_label_ids InputExample DataProcessor main model_fn_builder file_based_convert_examples_to_features create_model file_based_input_fn_builder example_to_token_ids_segment_ids_label_ids main model_fn_builder file_based_convert_examples_to_features create_model file_based_input_fn_builder example_to_token_ids_segment_ids_label_ids main model_fn_builder file_based_convert_examples_to_features get_masked_lm_output gather_indexes get_next_sentence_output input_fn_builder _decode_record main model_fn_builder get_masked_lm_output gather_indexes get_next_sentence_output input_fn_builder _decode_record main model_fn_builder get_masked_lm_output gather_indexes get_next_sentence_output input_fn_builder _decode_record main model_fn_builder get_masked_lm_output gather_indexes get_next_sentence_output input_fn_builder _decode_record main model_fn_builder create_model InputFeatures input_fn_builder ColaProcessor main_run_classifier file_based_input_fn_builder InputExample STSBProcessor _truncate_seq_pair file_based_convert_examples_to_features convert_examples_to_features main model_fn_builder DataProcessor convert_single_example create_model InputFeatures input_fn_builder ColaProcessor main_run_classifier file_based_input_fn_builder InputExample STSBProcessor _truncate_seq_pair file_based_convert_examples_to_features convert_examples_to_features main model_fn_builder DataProcessor convert_single_example create_model file_based_input_fn_builder example_to_token_ids_segment_ids_label_ids main model_fn_builder file_based_convert_examples_to_features create_model file_based_input_fn_builder example_to_token_ids_segment_ids_label_ids main model_fn_builder file_based_convert_examples_to_features SIQAProcessor DataProcessor InputExample segment_ids tokens list convert_tokens_to_ids masked_lm_labels SerializeToString OrderedDict Example append masked_lm_positions value create_int_feature TFRecordWriter close info keys enumerate join write create_float_feature len Feature Feature list extend shuffle create_instances_from_document keys range len TrainingInstance extend append randint truncate_seq_pair create_masked_lm_predictions range len int list sorted min len shuffle MaskedLmInstance set add index append label round max enumerate pop len FullTokenizer Random max_seq_length Glob extend masked_lm_prob dupe_factor create_training_instances short_seq_prob set_verbosity write_instance_to_example_files info random_seed max_predictions_per_seq INFO split join text_b InputFeatures convert_tokens_to_ids len _truncate_seq_pair tokenize guid info append text_a enumerate segment_ids create_int_feature TFRecordWriter write SerializeToString OrderedDict Example input_mask info input_ids enumerate convert_single_example pop len get_pooled_output BertModel value original_model get_variable segment_ids label_id input_mask append input_ids append enumerate convert_single_example info do_eval get_train_examples do_early_stopping TPUClusterResolver TPUEstimator set_verbosity output_dir do_train do_predict from_json_file model_fn_builder file_based_convert_examples_to_features eval_batch_size RunConfig matched tpu_name data_dir max_seq_length get_labels bert_config_file use_tpu predict predict_batch_size lower MakeDirs info INFO FullTokenizer int warmup_proportion join evaluate file_based_input_fn_builder get_dev_examples PER_HOST_V2 get_test_examples train len str list learning_rate product main_run_classifier eval num_train_epochs train_batch_size gather_indexes reshape get_shape_list range gather parse_single_example to_int32 list keys do_eval TPUClusterResolver TPUEstimator output_dir do_train from_json_file model_fn_builder eval_batch_size tpu_name bert_config_file input_fn_builder MakeDirs join evaluate PER_HOST_V2 train RunConfig label create_float_feature print tqdm print dirname makedirs print _move_unzipped_content join rmdir listdir move join urlretrieve move print get_name_from_link join makedirs download_and_extract make_dir remove print join urlretrieve mkdir print join urlretrieve mkdir append split path_to_mrpc data_dir add_argument format_mrpc get_tasks tasks mkdir ArgumentParser parse_args download_diagnostic print download_file append split relations get_relations download create_relationship_token enumerate range len print load_walks generate_corpus_from_walks print len create_joined_assertions_for_random_walks read_edgelist edges pop len append zeros enumerate int rand floor len str read_graph Graph print preprocess_transition_probs simulate_walks len diameter number_of_nodes max values list density array read_graph append sum number_of_edges info float weakly_connected_component_subgraphs print min average strongly_connected_component_subgraphs std len load open generate_random_walks_from_assertions join items list print append walk enumerate list keys int sorted fetch_results set DataFrame fetch_results output_results_as_csv get_labels get_test_examples get_labels task output_path_root input_path parse_predictions executing_eagerly convert_to_tensor get_shape squeeze equal remove_squeezable_dimensions rank cond expand_dims ndims assert_is_compatible_with sqrt erf lower name group OrderedDict match list_variables layer_norm dropout one_hot reshape get_shape_list matmul expand_dims get_variable one_hot reshape get_shape_list layer_norm_and_dropout matmul assert_less_equal get_variable ones reshape get_shape_list float32 cast dense dropout multiply get_shape_list reshape transpose float32 matmul transpose_for_scores expand_dims sqrt cast softmax float reshape_to_matrix int get_shape_list append reshape_from_matrix range reshape_to_matrix as_list assert_rank name shape append enumerate reshape ndims get_shape_list name integer_types ndims isinstance pow tanh pi lower gather trainable_variables list constant get_or_create_global_step gradients clip_by_global_norm group float32 apply_gradients cast int32 zip polynomial_decay CrossShardOptimizer AdamWeightDecayOptimizer trainable_variables list constant get_or_create_global_step MultitaskOptimizerWrapper gradients clip_by_global_norm case group float32 apply_gradients cast int32 zip polynomial_decay CrossShardOptimizer AdamWeightDecayOptimizer isinstance PY3 PY2 isinstance PY3 PY2 OrderedDict append strip split category category startswith startswith category ord join list convert_tokens_to_ids qid map question answers info append tokenize enumerate zip array zeros max Feature reshape shape stack get_train_examples do_predict file_based_convert_examples_to_features get_labels use_tpu predict predict_batch_size int warmup_proportion CommonsenseQAProcessor file_based_input_fn_builder get_dev_examples get_test_examples len COPAProcessor SIQAProcessor | wluper/retrograph | 4,101 |
wmuron/motpy | ['multiple object tracking'] | ['Simple Online and Realtime Tracking'] | examples/coco_labels.py tests/test_model.py motpy/metrics.py examples/2d_multi_object_tracking.py motpy/detector.py examples/simple_example.py examples/mot16_challange.py examples/webcam_face_tracking.py tests/test_tracker.py motpy/__init__.py motpy/utils.py motpy/testing_viz.py examples/detect_and_track_in_video.py tests/test_metrics.py setup.py tests/utils.py motpy/testing.py motpy/model.py motpy/core.py motpy/tracker.py demo_tracking_visualization get_class_ids run read_video_file CocoObjectDetector _read_video_frame read_detections get_miliseconds run run FaceDetector setup_logger Detection BaseObjectDetector angular_similarity calculate_iou _zero_pad Model _base_dim_block ModelPreset _random_color Actor data_generator image_generator draw_rectangle draw_text draw_track draw_detection SimpleTracker _sequence_has_none IOUAndFeatureMatchingFunction cost_matrix_iou_feature MultiObjectTracker exponential_moving_average_fn get_kalman_object_tracker KalmanTracker SingleObjectTracker BaseMatchingFunction match_by_cost_matrix track_to_string ensure_packages_installed test_angular_similarity test_ious_large test_ious test_state_to_observation_converters test_builders test_box_to_z test_simple_tracking_objects test_tracker_diverges test_class_smoothing test_exponential_moving_average current_milli_time image_generator int time debug step waitKey MultiObjectTracker draw_rectangle imshow draw_track box next range destroyAllWindows append isinstance get VideoCapture CAP_PROP_FPS expanduser float read read_video_file CocoObjectDetector process_image waitKey MultiObjectTracker imshow active_tracks draw_track resize draw_detection step join iterrows Detection debug read_csv append expanduser max range str int error debug read_detections exit get_miliseconds info expanduser _read_video_frame next VideoCapture destroyAllWindows FaceDetector release basicConfig NullHandler getLogger print addHandler getenv getLevelName setLevel minimum clip reshape transpose maximum zeros range split cdist array zeros append range detections rectangle putText box draw_rectangle draw_text box draw_rectangle feature _empty_canvas data_generator box range KalmanFilter build_Q build_F build_P build_R build_H int feature_similarity_fn multiply calculate_iou array len cost_matrix_iou_feature linear_sum_assignment zip append range print exit find_spec assert_almost_equal array calculate_iou current_milli_time range calculate_iou randn angular_similarity array assert_almost_equal build_Q build_F Model build_P build_R assert_almost_equal array build_H x_to_box box_to_x Model assert_almost_equal array box_to_z Model assert_almost_equal trackers IOUAndFeatureMatchingFunction MultiObjectTracker id Counter next data_generator info append step range match_by_cost_matrix cleanup_trackers dt id MultiObjectTracker nan assert_almost_equal step array step array MultiObjectTracker assert_array_equal exponential_moving_average_fn array update_fn | wmuron/motpy | 4,102 |
wnzhang/deep-ctr | ['click through rate prediction'] | ['Deep Learning over Multi-field Categorical Data: A Case Study on User Response Prediction'] | python/sampling_based_gaussian_binary_rbm_sparse.py python/data_fm.py python/SNN_RBM.py python/fm.py python/SNN_DAE.py python/FNN.py python/sampling_based_denosing_autoencoder.py python/dl_utils.py DataFM log_p init_weight get_xy save_prediction save_weights get_all_data feats_len logfile log file_len get_batch_data rewrite_train_test pred_lr load_model one_data_y_x sigmoid output_model pred get_pred print_err feats_to_layer_one_array log_p get_xy feat_layer_one_index get_fxy get_err_bat get_batch_data get_da_weights da dA sparse_da sparse_RBM get_rbm_weights get_fake_line GaussianBinaryRBM get_batch_x CDTrainer sparse_CDTrainer RBM mytrain num_feats auc_rmse log_p print_err get_fi_h1_y whole_auc_rmse mytrain print_err auc_rmse log_p get_fi_h1_y whole_auc_rmse dump open dump open print print log zeros uniform asarray print str array int asarray array append shared getline range int sigmoid sigmoid sum int len append float range split print close write range open int print close open zeros float range split write feat_trans close get_tags split open zeros range len str logfile zeros str get_err_bat log_p readline asarray close get_xy sqrt roc_auc_score append mean_squared_error predict open strip get_fxy feats_to_layer_one_array split int feats_to_layer_one_array split readline asarray set_value close get_xy append predict open RandomStreams RandomState function print default_timer mean dA randint matrix get_cost_updates range RandomStreams asarray RandomState function print default_timer mean uniform dA randint matrix range get_cost_updates zeros append int da sparse_da append str int split int split append getline range len int sparse_RBM print weights sparse_CDTrainer hidbias uniform params CDTrainer append train RBM len readline close split open len auc_rmse int readline exp mean_squared_error len tolist predict close sqrt roc_auc_score open zeros clock range append split int readline exp mean_squared_error len tolist predict close sqrt roc_auc_score open zeros range append split int exp len array append zeros getline range split int time str print print_err auc_rmse log_p get_fi_h1_y train range len | wnzhang/deep-ctr | 4,103 |
wong-ck/DeepSegment | ['semantic segmentation'] | ['Training CNN Classifiers for Semantic Segmentation using Partially Annotated Images: with Application on Human Thigh and Calf MRI'] | utilities/tfwrapper/input_fn.py utilities/io/writer.py utilities/image.py projects/MSD_partial/data/scripts/build_hdf5_partial.py utilities/tfwrapper/hook.py train.py utilities/tfwrapper/layer.py utilities/io/reader.py utilities/tfwrapper/loss.py utilities/tfwrapper/metric.py utilities/tfwrapper/optimizer.py utilities/io/__init__.py utilities/__init__.py predict.py utilities/tfwrapper/summary.py utilities/tfwrapper/__init__.py utilities/log.py data/MSD2018/scripts/extract_nii.py utilities/tfwrapper/model.py projects/MSD_partial/data/scripts/make_symlink_partial.py projects/MSD_full/data/scripts/build_hdf5.py projects/MSD_full/data/scripts/make_symlink.py utilities/tfwrapper/estimator.py utilities/config.py main create_writer main main process_data process_subject main generate_nii_filepaths main _create_argparser get_rootdir load_configuration DeepSegmentConfig _str2bool inverse_crop_or_pad_image resample_image crop_or_pad_image resize_image _create_stream_logger create_or_get_logger print_dict InterleavedGenerator NiftiGenerator HDF5Generator NiftiWriter HDF5Writer segmenter_model_fn create_segmenter Segmenter create_hooks LoggingTensorAndLossHook BestCheckpointSaverHook PredictionProgressHook _input_fn _create_hdf5_dataset create_input_fn _create_nii_dataset Conv2D Conv3D Conv2DTranspose Conv3DTranspose sparse_crossentropy_loss generate_weightage_array softdice_loss _extract_factor logdice_loss _loss_from_string_component crossentropy_loss generate_weightage_mask create_loss_from_string _calculate_dice_per_img_per_cls categorical_dices average_dice fcn8 vnet unet create_model_from_string create_optimizer_from_string categorical_dices ndim_image _calculate_dice_per_img_per_cls average_dice trainables write_data general_log_level create_input_fn image_type create_segmenter load_configuration create_hooks general_random_seed predict close set_random_seed set_verbosity info create_writer create_or_get_logger predict_output_type image_nclasses image_type tuple predict_output_type list create_or_get_logger format HDF5Writer image_size join uint8 predict_output_path image_slicedim image_batchsize error predict_imgkey_feature float32 NiftiWriter create_dataset image_resolution evaluate_freq str format evaluate error min general_iteration_unit train train_iterations warn max str list crop_or_pad_image shape append create_or_get_logger range format slice debug copy nonzero info int error min resample_image len tuple str sorted list all process_subject write_data squeeze len shape create_or_get_logger range format HDF5Writer slice close copy set info zip listdir keys load join items error create_dataset makedirs process_data print_dict join join sorted error round zip listdir create_or_get_logger len remove basename list items relpath generate_nii_filepaths symlink islink makedirs add_argument ArgumentParser join dirname abspath get config read _create_argparser format check_consistency get_config_names ConfigParser DeepSegmentConfig sections getattr vars parse_args setattr int ones tuple min shape range len int ones tuple min shape range len resize shape zip resize _create_stream_logger getLogger setFormatter getLogger addHandler StreamHandler Formatter setLevel items list format isinstance ljust max log image_nclasses network_batchnorm RunConfig image_classweights Segmenter network_model summary_nimages train_learning_rate train_loss train_weightage_mask train_l2_reg_factor train_optimizer network_dropout image_classnames convert_to_tensor get_global_step categorical_dices ndim_image minimize create_optimizer_from_string identity accuracy expand_dims zip trainables model_func average_dice create_loss_from_string scalar create_model_from_string join format checkpoint_path summary_tensors create_input_fn PredictionProgressHook image_batchsize BestCheckpointSaverHook summary_freq_steps LoggingTensorAndLossHook checkpoint_keep_max get_eval_metrics train_imgkey_label image_type image_blocklengths image_shuffle_buffer evaluate_imgkey_presence train_imgkey_presence evaluate_imgkey_feature train_imgkey_feature create_or_get_logger format train_shuffle_image lower image_size image_slicedim image_batchsize error predict_imgkey_feature evaluate_shuffle_image evaluate_imgkey_label image_resolution image_paths image_cyclic _create_nii_dataset format _create_hdf5_dataset error map shuffle make_one_shot_iterator repeat prefetch randint create_or_get_logger batch error InterleavedGenerator from_generator create_or_get_logger get_dataset_shapes HDF5Generator NiftiGenerator error InterleavedGenerator from_generator create_or_get_logger get_dataset_shapes activation activation activation activation float split strip _extract_factor append _loss_from_string_component split get_shape compute_weighted_loss one_hot generate_weightage_array reduce_sum softmax expand_dims log len get_shape compute_weighted_loss one_hot generate_weightage_array divide reduce_sum softmax expand_dims len generate_weightage_mask one_hot softmax_cross_entropy generate_weightage_mask sparse_softmax_cross_entropy convert_to_tensor get_shape format generate_weightage_array one_hot ndim_image reduce_sum lower logical_or cast expand_dims argmax len str format one_hot ones _calculate_dice_per_img_per_cls mean cast expand_dims range convert_to_tensor ones _calculate_dice_per_img_per_cls any cast expand_dims get_shape list one_hot tuple divide reduce_sum range len lower Conv2D concat l2_regularizer Conv2DTranspose Conv3D concat l2_regularizer Conv3DTranspose Conv2D l2_regularizer Conv2DTranspose add lower replace TRAINABLE_VARIABLES get_collection histogram as_list uint8 slice reshape reduce_max float32 stack any cast clip_by_value reduce_min len reduce_sum zip less cond scalar reduce_sum less cond | wong-ck/DeepSegment | 4,104 |
woodrush/neural-art-tf | ['style transfer'] | ['A Neural Algorithm of Artistic Style'] | kaffe/kaffe.py kaffe/caffepb.py network.py models.py neural-art-tf.py utils.py VGG16 I2V Network parseArgs add_mean getModel sub_mean read_image save_image ReductionParameter HingeLossParameter BlobProto BlobProtoVector NetStateRule LayerParameter PowerParameter FillerParameter ArgMaxParameter V0LayerParameter InnerProductParameter ConvolutionParameter SolverState EltwiseParameter LossParameter SliceParameter WindowDataParameter DummyDataParameter HDF5OutputParameter TanHParameter TransformationParameter SoftmaxParameter ConcatParameter DataParameter SPPParameter ParamSpec SolverParameter MVNParameter ContrastiveLossParameter NetState NetParameter PoolingParameter DropoutParameter Datum SigmoidParameter BlobShape ExpParameter AccuracyParameter LogParameter ThresholdParameter MemoryDataParameter LRNParameter ReLUParameter ImageDataParameter ReshapeParameter InfogainLossParameter V1LayerParameter HDF5DataParameter PReLUParameter FlattenParameter PythonParameter main CaffeDataReader CaffeLoader range range imresize astype float32 sub_mean imread uint8 format astype strftime copy mkdir add_mean imsave parse_args add_argument ArgumentParser print print dump basename exit | woodrush/neural-art-tf | 4,105 |
woohwanjung/dual | ['relation extraction'] | ['Dual Supervision Framework for Relation Extraction with Distant Supervision and Human Annotation'] | dual_sent/NeuralATT/network/encoder.py dual_sent/DataProcessor/gen_tacred.py dual_doc/src/config/BaseConfig.py dual_doc/src/utils.py dual_sent/DataProcessor/feature_generation.py dual_sent/DataProcessor/nlp_parse.py dual_sent/LogisticRegression/Logistic.py dual_sent/Neural/models/bgru.py dual_sent/DataProcessor/gen_bag_level_data.py dual_sent/data/source/NYT/generateBClusterInput.py dual_doc/src/models/common_modules.py dual_sent/DataProcessor/dev_set_partition.py dual_sent/NeuralATT/network/embedding.py dual_sent/DataProcessor/ner_feature.py dual_doc/src/train.py dual_sent/DataProcessor/Feature/em_brown_feature.py dual_sent/Neural/models/object.py dual_sent/DataProcessor/Feature/em_other_feature.py dual_sent/Neural/models/pcnn.py dual_sent/CoType/Evaluation/emb_dev_n_test.py dual_doc/src/models/__init__.py dual_doc/src/models/bert.py dual_sent/DataProcessor/brown-cluster/cluster-viewer/code/final.py dual_sent/data/source/KBP/generateBClusterInput.py dual_sent/DataProcessor/statistic.py dual_sent/DataProcessor/cotype_data_transform.py dual_sent/Neural/model.py dual_sent/ReHession/run.py dual_sent/data/source/TACRED/generateBClusterInput.py dual_sent/NeuralATT/utils.py dual_sent/DataProcessor/Feature/brown_feature.py dual_doc/src/settings.py dual_sent/ReHession/model/pack.py dual_sent/NeuralATT/eva.py dual_doc/src/models/attention.py dual_doc/src/models/ContextAware.py dual_sent/DataProcessor/gen_data_neural.py dual_doc/src/models/bertlang.py dual_sent/ReHession/model/nce.py dual_sent/NeuralATT/train.py dual_sent/NeuralATT/model.py dual_sent/DataProcessor/Feature/em_dependency_feature.py dual_sent/DataProcessor/Feature/dependency_feature.py dual_sent/DataProcessor/mention_reader.py dual_doc/src/models/LSTM_SP.py dual_sent/Neural/eva_bert.py dual_sent/LogisticRegression/test.py dual_sent/Neural/train.py dual_sent/LogisticRegression/liblinear.py dual_doc/src/gen_data.py dual_sent/CoType/Evaluation/tune_threshold.py dual_sent/CoType/Evaluation/tune_threshold_w_validation.py dual_sent/DataProcessor/Feature/other_feature.py dual_doc/src/evaluation_new.py dual_doc/src/config/DualConfig.py dual_doc/src/config/HDTuneConfig.py dual_sent/CoType/Evaluation/convertPredictionToJson.py dual_sent/DataProcessor/pruning_heuristics.py dual_sent/DataProcessor/__init__.py dual_sent/Neural/models/lstm.py dual_sent/DataProcessor/liblinear_processor.py dual_sent/run_preprocess.py dual_sent/CoType/Evaluation/evaluation.py dual_doc/src/models/BiLSTM.py dual_doc/src/config/Config.py dual_sent/DataProcessor/Feature/token_feature.py dual_doc/src/models/LSTM.py dual_sent/CoType/eigen-3.2.5/debug/gdb/__init__.py dual_sent/LogisticRegression/train.py dual_sent/ReHession/model/noCluster.py dual_doc/src/evaluation.py dual_sent/plot_result.py dual_sent/ReHession/model/object.py dual_sent/CoType/eigen-3.2.5/scripts/relicense.py dual_sent/DataProcessor/Feature/abstract_feature.py dual_sent/Neural/models/sbert.py dual_doc/src/test.py dual_sent/CoType/Evaluation/tune_threshold_w_sampled_dev.py dual_sent/DataProcessor/mention.py dual_sent/CoType/eigen-3.2.5/debug/gdb/printers.py dual_sent/NeuralATT/network/selector.py dual_doc/src/test_tune.py dual_sent/ReHession/model/utils.py dual_sent/Neural/train_bert.py dual_sent/Neural/eva.py dual_sent/Neural/models/position_aware_lstm.py dual_doc/src/models/CNN3.py dual_sent/ReHession/eva.py dual_sent/Neural/models/cnn.py dual_doc/src/config/__init__.py dual_sent/run_experiments.py dual_sent/DataProcessor/brown-cluster/cluster-viewer/code/make_html.py dual_sent/Neural/models/palstm.py dual_sent/CoType/Evaluation/emb_test.py dual_sent/DataProcessor/Feature/__init__.py dual_sent/CoType/Evaluation/emb_prediction.py dual_sent/Neural/utils.py dual_sent/DataProcessor/Feature/em_token_feature.py dual_sent/LogisticRegression/utils.py dual_doc/src/exp/run_exp_coling.py dual_sent/LogisticRegression/liblinearutil.py gen_train_facts evaluate_by_rel evaluate_by_rel_verbose evaluate gen_train_facts sents_2_idx init conditional_profiler get_ext_parser stack_if_islist dict_set load_json print_label_txt t_info from_cpu_to_cuda descobj argdict2str dict_list dict_max from_cpu_to_cuda_list Accuracy print_labels_abbr _print_label_txt print_label_abbr desc AccuracyDelta Accuracy BaseConfig Config DummyWriter get_expname_hdtune DualConfig get_expname HDTuneConfig get_exp_cmd_tune get_exp_cmd_shuffle get_exp_cmd_varying_ha test_pass_exp get_exp_cmd_ha_only get_cmd_from_args PositionwiseFeedForward clones LayerNorm SublayerConnection Encoder SimpleEncoder MultiHeadedAttention PositionalEncoding attention EncoderLayer BERT_ext DualSplit BERT_RE PredictionNet ModelParameter AttentionModel Attention BertLang BiAttention BiLSTM EncoderRNN LockedDropout EncoderLSTM CommonNetBiLSTM CNN3 CNN3_old PredictionCNN MultiLayerPerceptron PredictionBiLinear PredictionBiLinearMulti PredictionLinear ContextAwareCommonModule BiAttention SelfAttention EncoderRNN LockedDropout EncoderLSTM ContextAware BiAttention EncoderRNN LSTM_CommonModule LockedDropout EncoderLSTM LSTM LockedDropout LSTM_SP EncoderRNN BiAttention EncoderLSTM exp_attributs collect_result print_table_latex print_table info_name build_test_argdict get_exp_command get_cmd_from_args EigenQuaternionPrinter lookup_function register_eigen_printers build_eigen_dictionary EigenMatrixPrinter update save_log min_max_normalization sim_func Embedding load_candidates load_all_candidates load_mentionids Predicter_useFeatureEmb Network predict find_none_index evaluate_rm_neg evaluate_rm load_raw_labels load_labels load_label_score evaluate_threshold evaluate_threshold_neg tune_threshold min_max_nomalization evaluate_threshold_neg save_log evaluate_threshold tune_threshold min_max_nomalization get_number move_dev_files multi_process_parse load_rel2id no_bag reorg_data split find_index transform_data convert_data load_as_list write_test_as_liblinear write_train_as_liblinear Sentence EntityMention RelationMention MentionReader load_map NERFeature write_map filter pipeline_test write_map2 pipeline find_index parse process createPosAndTokensMap NLPParser PruneStrategy prune distribution supertype htmlescape get_word_rows get_cluster_rows wc_table top AbstractFeature BrownFeature DependencyFeature EMBrownFeature EMDependencyFeature EMLengthFeature EMWordShapeFeature EMCharacterFeature EMPosFeature EMContextFeature EMContextGramFeature EMTokenFeature get_lemma EMHeadFeature EMTypeFeature PosFeature NumOfEMBetweenFeature EntityMentionOrderFeature SpecialPatternFeature DistanceFeature ContextFeature EntityMentionTokenFeature HeadFeature BetweenEntityMentionTokenFeature ContextGramFeature get_lemma fillprototype parameter model print_null problem gen_feature_nodearray genFields toPyModel feature_node save_model load_model svm_read_problem train evaluations predict Logistic main main load_data get_none_id load_info Model train train log2prob keep_partial_grad sort_all log2posprob load_rel2id DatasetHD get_select_map get_cv_dataset_bert ExpResult get_positions get_cv_dataset map_to_ids build_hd_dataset_shuffle recover_idx DatasetBERT calcInd get_padded_tensor eval DatasetHDCrossIter ensure_dir calcEntropy split_cv_dataset stat_tensor Dataset BGRU CNN LSTM softCE_S partCE softCE softKL soft_max PositionAwareRNN PositionAwareAttention PCNN PositionAwareLSTM SBERT Model Wrapper train load_rel2id calcInd get_padded_tensor get_positions eval map_to_ids calcEntropy sort_all Dataset recover_idx Embedding PCNN BGRU SelectorBase AttentionSelector NCE_loss noCluster softKL softCE softCE_S partCE repack resample load_qa_corpus initialize_embedding TuneThres load_question_info get_distribution clip_grad load_embedding SampleBias get_distribution_from_list calcInd dropout load_corpus calcEntropy to_scalar eval_score log_sum_exp calcMaxProb shuffle_data soft_max CrossValidation eval_score_with_thres get_none_id load join dump list replace tuple set add exists open load join inc_pos isinstance print len set add inc_tp inc_labels Accuracy get_result open load join inc_pos isinstance print len set add inc_tp inc_labels Accuracy max range get_result open load join isinstance len set add open list len append range enumerate sents_2_idx save max subword_tokenize_to_ids open list add append range get dump set lower enumerate load join int print tqdm zeros len add_argument ArgumentParser isinstance print keys getattr desc items ndarray isinstance print dir type help print add_edge print_label_abbr enumerate DiGraph _print_label_txt print print isinstance load isinstance print put Queue open items list print endswith get_expname listdir copy test_pass_exp update NEGATIVE_3TIMES copy LOSS_REDUCTION_MEAN listdir update NEGATIVE_3TIMES NEGATIVE_ALL copy LOSS_REDUCTION_MEAN listdir update NEGATIVE_3TIMES NEGATIVE_ALL copy LOSS_REDUCTION_MEAN listdir dropout size transpose matmul sqrt masked_fill softmax print items list listdir data items list model print get_aggregated_result index add set append get_hd_id range enumerate len data items list model fromTable2np print index add set append get_hd_id sort_hd_list range enumerate len items list info_name build_test_argdict print copy append strip_typedefs search tag target type dict isfile sqrt sum Predicter_useFeatureEmb append defaultdict defaultdict defaultdict defaultdict len defaultdict maxsize evaluate_rm defaultdict set evaluate_rm_neg defaultdict set evaluate_threshold evaluate_threshold_neg defaultdict rmdir move int Process join readlines Lock close start floor open range append len join list items str append int list print shuffle range len range len join append join len extract feature_mapping write_map has_next open str sorted list entityMentions MentionReader next relationMentions close flush join items print write NERFeature label_mapping len extract str join load_map print relationMentions write close NERFeature entityMentions write_map label_mapping has_next MentionReader next flush open split close open items list sorted str write int join print close write set add write_map2 open split items list sorted str write time print strip process write loads createPosAndTokensMap append NLPParser flush find_index str sorted parse list remove len write dumps set add dict acquire encode release range append split parse print strip loads append range len join int print set open PruneStrategy split stdin int split sort get_word_rows groupby append htmlescape format enumerate append int lemmatize startswith genFields list sorted isinstance keys range enumerate len genFields genFields genFields contents open float split encode toPyModel print encode len zip c_double toPyModel print_func C flag_cross_validation set_print_string_function check_parameter set_bias parameter nr_fold isinstance flag_find_C print bias problem flag_C_specified cross_validation evaluations find_parameter_C evaluations int is_regression_model solver_type len get_nr_class bias predict_values is_probability_model gen_feature_nodearray predict_probability info get_nr_feature feature_node split load join print open enumerate dump load_info load_data Logistic fit join list readlines map split open range append len join readlines len open update join format warn tqdm Model fix_bias eval batched_data save info rel2id save_dir range update_lr enumerate haonly exp exp print format makedirs print shape fill_ min tensor max enumerate len zeros enumerate list shuffle ceil Dataset range len list shuffle ceil Dataset range len list DatasetBERT shuffle ceil range len DatasetHD list enumerate len float range len softmax max zero_ exp view size expand_as gather max str Wrapper max enumerate gather max int list readline isspace asarray FloatTensor rand sqrt zero_ open range append split rand readlines sqrt open len int list readline isspace LongTensor view zero_ split append max open list isspace LongTensor open append split shuffle list range len max softmax size ge rand long gt list lt int shuffle floor float range len int shuffle floor float range len print clone range len data int get_distribution_from_list calcInd eval_score len eval shuffle_data append test_with_bias array range repack_eva | woohwanjung/dual | 4,106 |
woojinchung/lms | ['word embeddings', 'semantic composition'] | ['The Lifted Matrix-Space Model for Semantic Composition'] | python/spinn/tests/xtest_util.py python/spinn/data/__init__.py python/spinn/data/arithmetic/make_data.py python/spinn/fat_stack.py python/spinn/plain_rnn.py python/spinn/util/logging.py python/spinn/cbow.py python/spinn/models/fat_classifier.py python/spinn/data/boolean/load_boolean_data.py python/spinn/util/loss.py python/spinn/tests/test_arithmetic.py python/spinn/data/boolean/generate_bl_data.py python/spinn/data/listops/load_listops_data.py python/spinn/tests/test_metrics.py python/spinn/util/test.py python/spinn/data/dual_arithmetic/make_data.py python/spinn/util/metrics.py python/spinn/data/dual_arithmetic/load_relational_data.py python/spinn/data/arithmetic/base.py python/spinn/data/arithmetic/load_sign_data.py python/spinn/data/listops/base.py python/spinn/data/listops/make_data.py python/spinn/rl_spinn.py python/spinn/data/util/arithmetic.py python/spinn/tests/test_blocks.py python/spinn/tests/test_data.py python/spinn/util/blocks.py python/spinn/data/dual_arithmetic/load_eq_data.py python/spinn/tests/test_cbow.py python/spinn/tests/test_misc.py python/spinn/data/multisnli/load_multisnli_data.py scripts/make_snli_sweep.py python/spinn/data/dual_arithmetic/base.py python/spinn/util/afs_safe_logger.py python/spinn/tests/test_evalb.py python/spinn/data/snli/load_snli_data.py python/spinn/util/evalb.py python/spinn/rae_spinn.py python/spinn/util/data.py python/spinn/gen_spinn.py python/spinn/data/arithmetic/load_simple_data.py python/spinn/util/misc.py python/spinn/cspinn.py python/spinn/data/sst/load_sst_data.py python/spinn/tests/test_stack.py scripts/sbatch_cancel.py python/spinn/models/base.py python/spinn/tests/test_rnn.py python/spinn/data/sst/base.py python/spinn/util/__init__.py python/spinn/models/supervised_classifier.py python/spinn/data/sst/load_sst_binary_data.py BaseModel build_model BaseModel CSPINN Tracker build_model BaseModel SPINN Tracker build_model BaseModel GenSPINN build_model BaseModel build_model RAESPINN BaseModel build_model BaseModel RLSPINN build_model load_data structure_transitions load_data SimpleData SignData ArithmeticDataType to_string uniq expand get_value_for_tree convert_binary_bracketed_data load_data load_data load_data RelationalData EqData hash ArithmeticDataType load_data to_string generate_tree to_value load_data convert_binary_bracketing load_data convert_binary_bracketing convert_unary_binary_bracketed_data load_data load_data ArithmeticData get_data_manager get_batch evaluate init_model get_checkpoint_path flag_defaults get_flags main_loop truncate sequential_only get_checkpoint_path evaluate run run ArithmeticTestCase MockModel PytorchTestCase CBOWTestCase t_is_left_padded t_is_left_to_right s_is_left_to_right DataTestCase SNLITestCase s_is_left_padded ArithmeticTestCase DualArithmeticTestCase SSTTestCase t_is_valid MockLogger BooleanTestCase EvalbTestCase PytorchTestCase MiscTestCase RNNTestCase SPINNTestCase test_crop_and_pad test_load_embeddings_from_ascii test_crop_and_pad_example test_build_vocabulary_for_ascii_embedding_file Logger to_cuda treelstmtensor the_gpu Reduce flatten ReduceTensor debug_gradient Lift EmbedTensor get_seq_c get_h bundle get_state ModelTrainer ZeroInitializer lstm TreeLSTMBiasInitializer extract_gates DefaultUniformInitializer reverse_tensor get_seq_h HeNormalInitializer UniformInitializer Embed unbundle OneInitializer MLP l2_cost HeKaimingLinear LSTMState PassthroughLSTMInitializer get_c Linear get_seq_state NormalInitializer to_cpu treelstm ValueInitializer LSTMBiasInitializer HeKaimingInitializer DoubleIdentityInitializer LSTM to_gpu arr_to_gpu PreprocessDataset LoadEmbeddingsFromText convert_binary_bracketed_seq CropAndPad CropAndPadForRNN BuildVocabulary MakeBucketEvalIterator print_tree MakeStandardEvalIterator TrimDataset MakeTrainingIterator peano SimpleProgressBar create_tree TransitionsToParse merge CropAndPadExample BuildVocabularyForTextEmbeddingFile MakeEvalIterator TokensToIDs crossing bracketing train_extra_format eval_extra_format eval_format train_stats train_format train_accumulate auxiliary_loss MetricsWriter MetricsBase MetricsReader time_per_token Accumulator MetricsLogger GenericClass Args Example recursively_set_device Vocab EvalReporter EncodeArgs get_batch get_batch_pair MockModel compare_models default_args ModelSpec SENTENCE_PAIR_DATA pop SHIFT list REDUCE reversed append enumerate print isinstance append copy append idfun isinstance convert_binary_bracketed_data random choice append randint range isinstance append lower split print convert_unary_binary_bracketed_data truncate max sequential_only model flatten finish use_sentence_pair hasattr get_transitions_per_example log_path append experiment_name sum range format get_batch eval_extra_format concatenate write_eval_report log_softmax size eval save_batch float long SimpleProgressBar enumerate join time crossing eval_format Log dict EvalReporter time_per_token cpu randint step array write_report len join DEFINE_boolean DEFINE_enum DEFINE_integer DEFINE_float DEFINE_bool DEFINE_string str time format int use_encode strip data_type model_type log_path format ModelTrainer build_model set_device Log Adam RMSprop parameters sum gpu FlagValuesDict model zero_grad clipping_max_value clamp_ ckpt_path finish save train_accumulate exp Accumulator add get_transitions_per_example experiment_name next metrics_path sum range MetricsWriter format get_batch train_extra_format eval_extra_format concatenate get_checkpoint_path log_softmax size actively_decay_learning_rate learning_rate_decay_per_10k_steps float train_stats SimpleProgressBar rl_epsilon long enumerate join time rl_epsilon_decay requires_grad learning_rate crossing backward Variable evaluate training_steps num_samples Log dumps eval_format write parameters reset cpu train step to_gpu train_format LoadEmbeddingsFromText model_cls clipping_max_value Logger save rl_spinn seq_length train_accumulate str Accumulator Adam RMSprop get_transitions_per_example fat_stack actively_decay_learning_rate BaseModel train_stats enumerate join time requires_grad learning_rate evaluate parameters isfile step train_format use_peano zero_grad finish ModelTrainer PrettyPrinter LABEL_MAP apply add gen_spinn append training_data_path BuildVocabulary get_batch embedding_data_path MakeTrainingIterator float long rl_epsilon_decay training_steps MakeEvalIterator eval_data_limit train SENTENCE_PAIR_DATA gpu model ckpt_path cuda exp cbow word_embedding_dim log_path experiment_name sum next range state_dict train_extra_format plain_rnn log_softmax SimpleProgressBar rl_epsilon load crossing num_samples smart_batching reset to_gpu split lowercase FlagValuesDict PreprocessDataset batch_size clamp_ rae_spinn format eval_data_path concatenate get_checkpoint_path size recursively_set_device pformat learning_rate_decay_per_10k_steps backward Variable Log load_data cpu len init_model data_type main_loop get_data_manager eval_extra_format eval_format append pop len BuildVocabularyForASCIIEmbeddingFile assert_equal assert_array_equal asarray LoadEmbeddingsFromASCII CropAndPad assert_equal print zero_grad backward isinstance LongTensor Variable size index_select to_gpu parameters hasattr tuple LSTMState size view sigmoid tanh extract_gates sigmoid tanh dropout sqrt size UniformInitializer size astype float32 set_ from_numpy size astype float32 set_ from_numpy size astype float32 set_ from_numpy size astype float32 set_ from_numpy size astype float32 set_ from_numpy size astype float32 set_ from_numpy size astype float32 set_ from_numpy from_numpy zeros size set_ UniformInitializer size add_ astype float32 clone astype float32 set_ identity from_numpy size astype float32 set_ from_numpy sigmoid tanh dropout pop str list reversed append enumerate print format enumerate len CropAndPadExample count len CropAndPadExample len join format merge seed str list print tuple shuffle append range len list sorted tuple reversed zip append range len transpose CropAndPadForRNN CropAndPad TokensToIDs TrimDataset zeros array update str BuildVocabularyForTextEmbeddingFile Log from_iterable set len update len zeros pop append len append pop list reversed zip append range len append bracketing len leaf_acc avg_entropy hasattr invalid add gen_acc sum get list hasattr keys flatten dict time_per_token float sum array hasattr hasattr hasattr hasattr list hasattr keys cpu cuda list astype float32 keys array transpose items parameters zip update list dict _fields zip | woojinchung/lms | 4,107 |
working-yuhao/DEAL | ['link prediction'] | ['Inductive Link Prediction for Nodes Having Only Attribute Information'] | train.py args.py dataset.py utils.py model.py str2bool make_args merge_dicts get_edge_mask_link_negative_approximate all_pairs_shortest_path_length_parallel parse_index_file get_edge_mask_link_negative nx_to_tg_data duplicate_edges split_edges deduplicate_edges resample_edge_mask_link_negative precompute_dist_data Graph_load_batch get_link_mask tri_loss load_graphs get_tg_dataset get_random_anchorset get_pred single_source_shortest_path_length_range edge_to_set preselect_anchor get_edge_mask_hard_neg sample_mask load_tg_dataset add_nx_graph get_dist_max GIN Nonlinear MLP PGNN_layer PGNN Hidden_Layer DEAL SAGE GAT Emb pearsonr GCN get_train_inputs get_inv_adj_dict to_triplets edges_to_sparse plot_results nearest_attrs load_data_arrays query get_attr_nodes_dict get_Ms get_ShortestPathM get_AdjM save_sp rprint Data convert_triplets get_train_data load_datafile show_counter minmax_scaler sample_last_hop load_sp load_dataset normalize get_params_with ind_eval edge_cover get_nodes_sp_attr_M load_dists score_node_classification eval_model convert_sSp_tSp get_delta counter_filt detailed_eval edge_index2sp_A get_random_anchorset get_scores score_link_prediction save_Q eval_q get_hops get_inverse sample_all_hops preselect_anchor get_us_attr_dict get_STM load_Q test_train_data tran_eval validation_test get_dist_max get_A transform_attrM_to_attr_dict parse_args set_defaults add_argument ArgumentParser isinstance model index_select device to sum int view model sign t unique device to len identity stack nonzero zeros duplicate_edges tuple set choice append zeros range mask_link_positive mask_link_positive_train get_edge_mask_link_negative add_edges_from list lil_matrix Graph tuple tolist all_pairs_shortest_path_length_parallel choice append zeros array range values zeros range add set int list dict unique zip append range append tuple range set mask_link_positive split_edges deduplicate_edges numpy resample_edge_mask_link_negative add_edges_from Graph tuple append num_edges numpy range single_source_shortest_path_length update merge_dicts int list join close shuffle nodes Pool get add_edges_from Graph tolist all_pairs_shortest_path_length_parallel nodes zeros enumerate int choice log2 exp2 append range to max range len num_nodes get_random_anchorset get_dist_max dists mask_link_positive_test str Planetoid remove_link_ratio ones CoraFull deduplicate_edges Amazon append precompute_dist_data mask_link_positive_val concatenate Reddit get_link_mask mkdir Coauthor num_nodes float long enumerate print load_tg_dataset approximate PPI numpy x mask_link_positive_train selfloop_edges number_of_nodes relabel_nodes list Data nodes shape permute edges append range concatenate copy stack nonzero remove_edges_from zip float dict zeros array len append int strip open zeros str list add_edges_from max arange isolates number_of_nodes print loadtxt Graph subgraph astype map append remove_nodes_from range add_node permutation number_of_nodes connected_caveman_graph log open list std grid_2d_graph nodes identity edges append expand_dims range add_edge node_link_graph Graph_load_batch copy choice mean enumerate load has_edge print loadtxt convert_node_labels_to_integers min zeros array remove_edge load_graphs mean norm sub dot get list bool tolist shuffle nonzero device append to keys dists max clone zeros keys range zeros ones min clone keys range show plot xlabel tolist ylabel legend range len print clone add keys zeros max range get svd print str show list sort grid scatter keys range len append cat print set intersection range len print eval eval_by_tFile list eval_model sample keys append values to_sparse range cat len repeat len score tolist get lil_matrix todense nonzero range len A1 list setdiff1d arange map set flatten add row_stack nonzero append column_stack ones dot setdiag tolil range arange append combinations arange randint len data LongTensor FloatTensor tocoo shape vstack load normalize LogisticRegressionCV f1_score predict fit zeros max unique FloatTensor lil_matrix tolil choice shape append randint len permutation hstack convert_triplets vstack get_hops data LongTensor FloatTensor tocoo vstack range Data inter_layer attr_emb clone attr_layer numpy numpy evaluate print evaluate edges_to_sparse row_stack device dataset exists Data inductive load_sp to_dense load_npz to load_dists mkdir unique load A1 task T get_hops preselect_anchor maximum exists open | working-yuhao/DEAL | 4,108 |
wouterkool/attention-learn-to-route | ['combinatorial optimization'] | ['Attention, Learn to Solve Routing Problems!'] | problems/op/op_ortools.py problems/tsp/tsp_baseline.py problems/vrp/encode-attend-navigate/data_generator.py problems/op/op_gurobi.py problems/tsp/tsp_gurobi.py problems/op/opga/opevo.py problems/pctsp/salesman/pctsp/algo/ilocal_search.py problems/op/tsiligirides.py problems/op/problem_op.py problems/pctsp/salesman/pctsp/algo/genius.py problems/pctsp/problem_pctsp.py problems/vrp/encode-attend-navigate/utils.py problems/pctsp/salesman/pctsp/model/tests/test_solution.py utils/tensor_functions.py problems/vrp/problem_vrp.py train.py run.py problems/__init__.py problems/vrp/state_cvrp.py utils/lexsort.py problems/tsp/state_tsp.py options.py nets/attention_model.py problems/pctsp/salesman/pctsp/__main__.py problems/op/op_baseline.py problems/pctsp/salesman/pctsp/__init__.py problems/pctsp/state_pctsp.py problems/pctsp/salesman/pctsp/model/pctsp.py utils/__init__.py utils/log_utils.py nets/graph_encoder.py problems/op/state_op.py problems/pctsp/pctsp_ortools.py utils/monkey_patch.py problems/vrp/encode-attend-navigate/Neural_Reinforce.py utils/functions.py problems/op/opga/optest.py problems/pctsp/pctsp_gurobi.py utils/data_utils.py problems/pctsp/salesman/pctsp/algo/geni.py utils/boolmask.py eval.py nets/pointer_network.py problems/pctsp/pctsp_baseline.py problems/pctsp/salesman/pctsp/algo/__init__.py problems/tsp/problem_tsp.py reinforce_baselines.py problems/vrp/vrp_baseline.py nets/critic_network.py problems/pctsp/salesman/pctsp/model/solution.py utils/beam_search.py problems/vrp/state_sdvrp.py problems/pctsp/salesman/pctsp/model/__init__.py problems/pctsp/salesman/pctsp/application.py problems/op/opga/oph.py generate_data.py eval_dataset eval_dataset_mp _eval_dataset get_best generate_tsp_data generate_op_data generate_vrp_data generate_pctsp_data get_options NoBaseline WarmupBaseline ExponentialBaseline RolloutBaseline Baseline CriticBaseline BaselineDataset run validate clip_grad_norms train_batch train_epoch rollout get_inner_model set_decode_type AttentionModel AttentionModelFixed CriticNetwork GraphAttentionEncoder MultiHeadAttention MultiHeadAttentionLayer Normalization SkipConnection PointerNetwork Decoder Encoder Attention CriticNetworkLSTM solve_compass solve_ortools run_all_tsiligirides calc_op_length solve_gurobi read_oplib solve_opga write_oplib write_compass_par solve_compass_log calc_op_total solve_euclidian_op float_to_scaled_int CreatePrizeEvaluator solve_op_ortools add_distance_constraint CreateDistanceEvaluator DataProblem euclidian_distance main print_solution add_capacity_constraints generate_instance OP OPDataset StateOP op_tsiligirides crossover run_alg_f mutate run_alg fitness initialize init_replacement ellinit_replacement ell_sub distance run_func calc_pctsp_length solve_ortools write_pctsp solve_pctsp_log solve_stochastic_pctsp_log calc_pctsp_cost solve_gurobi get_pctsp_executable float_to_scaled_int write_pctsp_dist calc_pctsp_total float_to_scaled_int_str solve_salesman solve_euclidian_pctsp float_to_scaled_int CreatePrizeEvaluator solve_pctsp_ortools add_distance_constraint CreateDistanceEvaluator DataProblem euclidian_distance add_min_prize_constraints print_solution generate_instance PCTSPStoch PCTSPDataset PCTSP PCTSPDet StatePCTSP solve_instance main geni geni genius us m3 newHomeBase perturb m2 m1 ilocal_search tweak Pctsp random Solution TestTrain TSPDataset TSP StateTSP nearest_neighbour calc_tsp_length calc_batch_pdist solve_all_nn write_tsplib read_concorde_tour solve_insertion solve_gurobi run_insertion read_tsplib solve_lkh_log solve_concorde_log _calc_insert_cost write_lkh_par solve_euclidian_tsp solve_all_gurobi make_instance CVRP VRPDataset SDVRP StateCVRP StateSDVRP run_func solve_lkh read_vrplib get_lkh_executable write_vrplib solve_lkh_log calc_vrp_cost write_lkh_par DataGenerator swap2opt step2opt reward preprocess_instance calc_tsp_length Actor save_results add_argument_group get_config load_dataset eval_dataset str2bool print_summary full_glimpse feedforward multihead_attention pointer embed_seq encode_seq backtrack get_beam_search_results segment_topk_idx CachedLookup beam_search BatchBeam _beam_search mask_bool2long _mask_byte2long _pad_mask mask_long_scatter _mask_byte2bool _mask_bool2byte mask_long2bool _mask_long2byte check_extension load_dataset save_dataset torch_load_cpu load_model run_all_in_pool load_args do_batch_rep load_problem sample_many parse_softmax_temperature move_to _load_model_file _torch_lexsort_cuda torch_lexsort log_values load_state_dict compute_in_batches argmin hstack reduceat full flatnonzero diff format load_model model val_size make_dataset device decode_strategy model make_dataset device eval_batch_size list load_model offset device_count results_dir format multiprocessing mean sqrt timedelta NAME splitext zip o save_dataset join _eval_dataset print makedirs std len time set_decode_type trim_zeros tolist get_best tqdm eval DataLoader zip append move_to to numpy norm ones astype uniform randint float uniform join format add_argument strftime problem graph_size run_name ArgumentParser output_dir parse_args set_rng_state validate model LambdaLR epoch_start make_dataset DataParallel device get_inner_model save_dir values seed list bl_warmup_epochs set_rng_state_all epoch_callback RolloutBaseline Adam CriticBaseline pprint load_state_dict run_name eval_only to is_tensor range get format TbLogger ExponentialBaseline load_problem resume manual_seed n_epochs graph_size vars join items log_dir int use_cuda print NoBaseline WarmupBaseline train_epoch exp_beta problem torch_load_cpu makedirs format print rollout mean sqrt std len eval set_decode_type validate batch_size train_batch epoch_size make_dataset DataLoader save save_dir wrap_dataset strftime run_name format log_value gmtime enumerate join time set_decode_type print tqdm train step epoch_callback clip_grad_norms model backward param_groups zero_grad mean unwrap_batch max_grad_norm device move_to log_values step module isinstance join format print read_oplib write_oplib load_dataset save_dataset vstack astype join time format run_opga_alg load_dataset save_dataset join time format solve_euclidian_op_gurobi load_dataset save_dataset join time format solve_op_ortools load_dataset save_dataset time manual_seed tqdm make_dataset DataLoader device move_to getAttr list optimize tuplelist addConstrs addConstr INTEGER Model addVars subtour keys range len capacity AddDimension AddDimension format Start print Value GetDimensionOrDie range num_vehicles ObjectiveValue CumulVar NextVar num_locations DataProblem DefaultSearchParameters Start GUIDED_LOCAL_SEARCH SolveWithParameters PATH_CHEAPEST_ARC Value distance_evaluator add_distance_constraint num_vehicles RoutingModel append depot IndexToNode NextVar max_length num_locations DataProblem DefaultSearchParameters SolveWithParameters PATH_CHEAPEST_ARC distance_evaluator SetArcCostEvaluatorOfAllVehicles num_vehicles RoutingModel depot print_solution norm ones uniform_ randint float update topk initialize norm get_mask multinomial unsqueeze append gather float sum cat print ell_sub append range len randrange len seed readline print tuple append range pop str crossover mutate gauss print insert ellinit_replacement distance append clock range len pop list insert distance range len pop list insert distance append range len append pop insert distance append range len print join check_call join format astype splitlines load_dataset write_pctsp save_dataset write_pctsp_dist max calc_pctsp_cost load_dataset append sum format astype splitlines float_to_scaled_int distance_matrix calc_pctsp_total save_dataset join time remove min extend zeros array len seed join time format load float_to_scaled_int Pctsp random ilocal_search calc_pctsp_cost load_dataset write_pctsp save_dataset min calc_pctsp_cost solve_euclidian_pctsp_gurobi sum min calc_pctsp_cost solve_pctsp_ortools sum vstack getAttr list optimize tuplelist addConstrs addConstr INTEGER Model addVars subtour sum keys range len prizes RemoveInterval GetDimensionOrDie num_vehicles AddDimension sum range DefaultSearchParameters Start GUIDED_LOCAL_SEARCH SolveWithParameters min_prize num_vehicles append num_locations PATH_CHEAPEST_ARC Value prize_evaluator distance_evaluator SetArcCostEvaluatorOfAllVehicles DataProblem NextVar depot add_min_prize_constraints RoutingModel IndexToNode rand seed load random ilocal_search Pctsp load int prize quality print is_valid size random ilocal_search route Pctsp len insertion_2 Solution quality_after_insertion_2 insertion_1 quality_after_insertion_1 maxsize range geni random us pop newHomeBase perturb is_valid copy tweak m3 m2 m1 copy int size copy remove_cities size swap randrange route len size randrange remove_city add_city prize list Solution is_valid shuffle range len calc_tsp_length solve_euclidian_tsp_gurobi join format write_tsplib read_concorde_tour load_dataset save_dataset join format write_tsplib save_dataset load_dataset read_tsplib write_lkh_par astype sum insert _calc_insert_cost argmin range roll distance_matrix argmax zeros flatnonzero len time run_insertion calc_batch_pdist inf size min squeeze random_ scatter_ expand zero_ append range time extend tqdm make_dataset DataLoader device move_to nearest_neighbour get_costs getAttr list optimize tuplelist addConstrs Model addVars subtour keys len solve_euclidian_tsp format print append enumerate join remove format print check_call abspath makedirs read_vrplib write_vrplib vstack astype sqrt sum square concatenate flip copy swap2opt range reward append parse_known_args PCA array fit_transform seed Actor set_random_seed Saver reset_default_graph list format print mean sqrt timedelta zip std len join format print print_summary makedirs tanh reduce_sum matmul clip_by_value expand_dims _beam_search construct_solutions backtrack topk initialize append expand topk torch_lexsort size min new_zeros nonzero cat list reversed zip append gather pad _pad_mask _pad_mask size size size arange makedirs get isinstance load join get format update isinstance print getcwd load_state_dict state_dict split get join format model_class torch_load_cpu isdir load_args load_problem eval dirname load_state_dict isfile _load_model_file max isfile str getattr len isinstance max transpose min inner_func t get_cost_func append do_batch_rep range cat is_cuda view tuple size sort numel print log_value format item deepcopy list defaultdict items __setstate__ param_groups any cast size isinstance | wouterkool/attention-learn-to-route | 4,109 |
wouterkool/attention-tsp | ['combinatorial optimization'] | ['Attention, Learn to Solve Routing Problems!'] | problems/op/op_ortools.py problems/tsp/tsp_baseline.py problems/vrp/encode-attend-navigate/data_generator.py problems/op/op_gurobi.py problems/tsp/tsp_gurobi.py problems/op/opga/opevo.py problems/pctsp/salesman/pctsp/algo/ilocal_search.py problems/op/tsiligirides.py problems/op/problem_op.py problems/pctsp/salesman/pctsp/algo/genius.py problems/pctsp/problem_pctsp.py problems/vrp/encode-attend-navigate/utils.py problems/pctsp/salesman/pctsp/model/tests/test_solution.py utils/tensor_functions.py problems/vrp/problem_vrp.py train.py run.py problems/__init__.py problems/vrp/state_cvrp.py utils/lexsort.py problems/tsp/state_tsp.py options.py nets/attention_model.py problems/pctsp/salesman/pctsp/__main__.py problems/op/op_baseline.py problems/pctsp/salesman/pctsp/__init__.py problems/pctsp/state_pctsp.py problems/pctsp/salesman/pctsp/model/pctsp.py utils/__init__.py utils/log_utils.py nets/graph_encoder.py problems/op/state_op.py problems/pctsp/pctsp_ortools.py utils/monkey_patch.py problems/vrp/encode-attend-navigate/Neural_Reinforce.py utils/functions.py problems/op/opga/optest.py problems/pctsp/pctsp_gurobi.py utils/data_utils.py problems/pctsp/salesman/pctsp/algo/geni.py utils/boolmask.py eval.py nets/pointer_network.py problems/pctsp/pctsp_baseline.py problems/pctsp/salesman/pctsp/algo/__init__.py problems/tsp/problem_tsp.py reinforce_baselines.py problems/vrp/vrp_baseline.py nets/critic_network.py problems/pctsp/salesman/pctsp/model/solution.py utils/beam_search.py problems/vrp/state_sdvrp.py problems/pctsp/salesman/pctsp/model/__init__.py problems/pctsp/salesman/pctsp/application.py problems/op/opga/oph.py generate_data.py eval_dataset eval_dataset_mp _eval_dataset get_best generate_tsp_data generate_op_data generate_vrp_data generate_pctsp_data get_options NoBaseline WarmupBaseline ExponentialBaseline RolloutBaseline Baseline CriticBaseline BaselineDataset run validate clip_grad_norms train_batch train_epoch rollout get_inner_model set_decode_type AttentionModel AttentionModelFixed CriticNetwork GraphAttentionEncoder MultiHeadAttention MultiHeadAttentionLayer Normalization SkipConnection PointerNetwork Decoder Encoder Attention CriticNetworkLSTM solve_compass solve_ortools run_all_tsiligirides calc_op_length solve_gurobi read_oplib solve_opga write_oplib write_compass_par solve_compass_log calc_op_total solve_euclidian_op float_to_scaled_int CreatePrizeEvaluator solve_op_ortools add_distance_constraint CreateDistanceEvaluator DataProblem euclidian_distance main print_solution add_capacity_constraints generate_instance OP OPDataset StateOP op_tsiligirides crossover run_alg_f mutate run_alg fitness initialize init_replacement ellinit_replacement ell_sub distance run_func calc_pctsp_length solve_ortools write_pctsp solve_pctsp_log solve_stochastic_pctsp_log calc_pctsp_cost solve_gurobi get_pctsp_executable float_to_scaled_int write_pctsp_dist calc_pctsp_total float_to_scaled_int_str solve_salesman solve_euclidian_pctsp float_to_scaled_int CreatePrizeEvaluator solve_pctsp_ortools add_distance_constraint CreateDistanceEvaluator DataProblem euclidian_distance add_min_prize_constraints print_solution generate_instance PCTSPStoch PCTSPDataset PCTSP PCTSPDet StatePCTSP solve_instance main geni geni genius us m3 newHomeBase perturb m2 m1 ilocal_search tweak Pctsp random Solution TestTrain TSPDataset TSP StateTSP nearest_neighbour calc_tsp_length calc_batch_pdist solve_all_nn write_tsplib read_concorde_tour solve_insertion solve_gurobi run_insertion read_tsplib solve_lkh_log solve_concorde_log _calc_insert_cost write_lkh_par solve_euclidian_tsp solve_all_gurobi make_instance CVRP VRPDataset SDVRP StateCVRP StateSDVRP run_func solve_lkh read_vrplib get_lkh_executable write_vrplib solve_lkh_log calc_vrp_cost write_lkh_par DataGenerator swap2opt step2opt reward preprocess_instance calc_tsp_length Actor save_results add_argument_group get_config load_dataset eval_dataset str2bool print_summary full_glimpse feedforward multihead_attention pointer embed_seq encode_seq backtrack get_beam_search_results segment_topk_idx CachedLookup beam_search BatchBeam _beam_search mask_bool2long _mask_byte2long _pad_mask mask_long_scatter _mask_byte2bool _mask_bool2byte mask_long2bool _mask_long2byte check_extension load_dataset save_dataset torch_load_cpu load_model run_all_in_pool load_args do_batch_rep load_problem sample_many parse_softmax_temperature move_to _load_model_file _torch_lexsort_cuda torch_lexsort log_values load_state_dict compute_in_batches argmin hstack reduceat full flatnonzero diff format load_model model val_size make_dataset device decode_strategy model make_dataset device eval_batch_size list load_model offset device_count results_dir format multiprocessing mean sqrt timedelta NAME splitext zip o save_dataset join _eval_dataset print makedirs std len time set_decode_type trim_zeros tolist get_best tqdm eval DataLoader zip append move_to to numpy norm ones astype uniform randint float uniform join format add_argument strftime problem graph_size run_name ArgumentParser output_dir parse_args set_rng_state validate model LambdaLR epoch_start make_dataset DataParallel device get_inner_model save_dir values seed list bl_warmup_epochs set_rng_state_all epoch_callback RolloutBaseline Adam CriticBaseline pprint load_state_dict run_name eval_only to is_tensor range get format TbLogger ExponentialBaseline load_problem resume manual_seed n_epochs graph_size vars join items log_dir int use_cuda print NoBaseline WarmupBaseline train_epoch exp_beta problem torch_load_cpu makedirs format print rollout mean sqrt std len eval set_decode_type validate batch_size train_batch epoch_size make_dataset DataLoader save save_dir wrap_dataset strftime run_name format log_value gmtime enumerate join time set_decode_type print tqdm train step epoch_callback clip_grad_norms model backward param_groups zero_grad mean unwrap_batch max_grad_norm device move_to log_values step module isinstance join format print read_oplib write_oplib load_dataset save_dataset vstack astype join time format run_opga_alg load_dataset save_dataset join time format solve_euclidian_op_gurobi load_dataset save_dataset join time format solve_op_ortools load_dataset save_dataset time manual_seed tqdm make_dataset DataLoader device move_to getAttr list optimize tuplelist addConstrs addConstr INTEGER Model addVars subtour keys range len capacity AddDimension AddDimension format Start print Value GetDimensionOrDie range num_vehicles ObjectiveValue CumulVar NextVar num_locations DataProblem DefaultSearchParameters Start GUIDED_LOCAL_SEARCH SolveWithParameters PATH_CHEAPEST_ARC Value distance_evaluator add_distance_constraint num_vehicles RoutingModel append depot IndexToNode NextVar max_length num_locations DataProblem DefaultSearchParameters SolveWithParameters PATH_CHEAPEST_ARC distance_evaluator SetArcCostEvaluatorOfAllVehicles num_vehicles RoutingModel depot print_solution norm ones uniform_ randint float update topk initialize norm get_mask multinomial unsqueeze append gather float sum cat print ell_sub append range len randrange len seed readline print tuple append range pop str crossover mutate gauss print insert ellinit_replacement distance append clock range len pop list insert distance range len pop list insert distance append range len append pop insert distance append range len print join check_call join format astype splitlines load_dataset write_pctsp save_dataset write_pctsp_dist max calc_pctsp_cost load_dataset append sum format astype splitlines float_to_scaled_int distance_matrix calc_pctsp_total save_dataset join time remove min extend zeros array len seed join time format load float_to_scaled_int Pctsp random ilocal_search calc_pctsp_cost load_dataset write_pctsp save_dataset min calc_pctsp_cost solve_euclidian_pctsp_gurobi sum min calc_pctsp_cost solve_pctsp_ortools sum vstack getAttr list optimize tuplelist addConstrs addConstr INTEGER Model addVars subtour sum keys range len prizes RemoveInterval GetDimensionOrDie num_vehicles AddDimension sum range DefaultSearchParameters Start GUIDED_LOCAL_SEARCH SolveWithParameters min_prize num_vehicles append num_locations PATH_CHEAPEST_ARC Value prize_evaluator distance_evaluator SetArcCostEvaluatorOfAllVehicles DataProblem NextVar depot add_min_prize_constraints RoutingModel IndexToNode rand seed load random ilocal_search Pctsp load int prize quality print is_valid size random ilocal_search route Pctsp len insertion_2 Solution quality_after_insertion_2 insertion_1 quality_after_insertion_1 maxsize range geni random us pop newHomeBase perturb is_valid copy tweak m3 m2 m1 copy int size copy remove_cities size swap randrange route len size randrange remove_city add_city prize list Solution is_valid shuffle range len calc_tsp_length solve_euclidian_tsp_gurobi join format write_tsplib read_concorde_tour load_dataset save_dataset join format write_tsplib save_dataset load_dataset read_tsplib write_lkh_par astype sum insert _calc_insert_cost argmin range roll distance_matrix argmax zeros flatnonzero len time run_insertion calc_batch_pdist inf size min squeeze random_ scatter_ expand zero_ append range time extend tqdm make_dataset DataLoader device move_to nearest_neighbour get_costs getAttr list optimize tuplelist addConstrs Model addVars subtour keys len solve_euclidian_tsp format print append enumerate join remove format print check_call abspath makedirs read_vrplib write_vrplib vstack astype sqrt sum square concatenate flip copy swap2opt range reward append parse_known_args PCA array fit_transform seed Actor set_random_seed Saver reset_default_graph list format print mean sqrt timedelta zip std len join format print print_summary makedirs tanh reduce_sum matmul clip_by_value expand_dims _beam_search construct_solutions backtrack topk initialize append expand topk torch_lexsort size min new_zeros nonzero cat list reversed zip append gather pad _pad_mask _pad_mask size size size arange makedirs get isinstance load join get format update isinstance print getcwd load_state_dict state_dict split get join format model_class torch_load_cpu isdir load_args load_problem eval dirname load_state_dict isfile _load_model_file max isfile str getattr len isinstance max transpose min inner_func t get_cost_func append do_batch_rep range cat is_cuda view tuple size sort numel print log_value format item deepcopy list defaultdict items __setstate__ param_groups any cast size isinstance | wouterkool/attention-tsp | 4,110 |
wpwei/attention_to_route | ['combinatorial optimization'] | ['Attention, Learn to Solve Routing Problems!'] | train.py eval.py models.py datasets.py problems.py utils.py generate_data.py TSPTrainSet TSPTestSet main generate_tsp_data generate_op_data generate_vrp_data generate_pctsp_data Normalization TSPAgent TSPDecoder TSPEncoder TSPSolver Attention TSP main get_optimal_cost load_dataset check_extension lkh_solve_tsp save_dataset print eval DataLoader test_data load_dataset cuda norm ones astype uniform randint float uniform gather expand_as save_checkpoint from_argparse_args TSPAgent fit makedirs remove make_lkh_par read_tour make_tsplib_file run concatenate reshape tqdm from_numpy TSP float | wpwei/attention_to_route | 4,111 |
ws-choi/Conditioned-Source-Separation-LaSAFT | ['music source separation'] | ['LaSAFT: Latent Source Attentive Frequency Transformation for Conditioned Source Separation'] | lasaft/source_separation/conditioned/LaSAFT.py lasaft/source_separation/sub_modules/building_blocks.py lasaft/source_separation/conditioned/cunet/models/dcun_tfc_gpocm_lasaft.py lasaft/source_separation/conditioned/cunet/models/dcun_tfc_gpocm_tdf.py lasaft/utils/PoCM_utils.py train.py lasaft/pretrained/__init__.py lasaft/utils/fourier.py lasaft/utils/FiLM_utils.py lasaft/source_separation/conditioned/scripts/evaluator.py dl_musdb18_samples.py lasaft/source_separation/conditioned/cunet/models/dcun_tfc_film_tdf.py lasaft/source_separation/conditioned/scripts/trainer.py lasaft/source_separation/sub_modules/control_models.py lasaft/pretrained/load_pretrained_nets.py lasaft/source_separation/conditioned/cunet/models/dcun_tfc_film.py lasaft/source_separation/conditioned/cunet/dcun_gpocm.py lasaft/source_separation/conditioned/cunet/models/dcun_tfc_film_lasaft.py lasaft/source_separation/conditioned/cunet/models/dcun_tfc_gpocm_lightsaft.py lasaft/source_separation/conditioned/cunet/dcun_film.py lasaft/utils/weight_initialization.py lasaft/source_separation/conditioned/cunet/models/dcun_tfc_gpocm.py lasaft/data/data_provider.py lasaft/utils/functions.py eval.py lasaft/utils/download_weights.py lasaft/source_separation/conditioned/cunet/dcun_base.py inference_example.py lasaft/utils/instantiator.py lasaft/source_separation/model_definition.py lasaft/source_separation/conditioned/separation_framework.py lasaft/source_separation/conditioned/loss_functions.py lasaft/data/musdb_wrapper.py main hydra_entry main hydra_entry DataProvider MusdbTestSetWithGT MusdbEvalSetWithGT MusdbValidSetWithGT MusdbEvalSet SingleTrackSet MusdbTestSet MusdbTrainSet MusdbWrapperDataset check_musdb_valid MusdbValidSet PreTrainedLaSAFTNet __define_large_params__ get_class_by_name TFC_LaSAFT TFC_LightSAFT get_conditional_loss KL_loss Conditional_Spectrogram_Loss Conditional_Loss Conditional_SDR Conditional_DSR Conditional_RAW_Loss Conditional_NSDR Conditional_Unfolding_Loss Conditional_SDR_LIKE_Loss Conditional_LDSR Conditional_NLCS_Loss add_model_specific_args Conditional_Distortion_Loss Conditional_NCS_Loss Conditional_Raw_And_Spec Spectrogram_based Conditional_Source_Separation Dense_CUNet Dense_CUNet_Framework DenseCUNet_FiLM_Framework DenseCUNet_FiLM DenseCUNet_GPoCM DenseCUNet_GPoCM_Framework DCUN_TFC_FiLM_Framework DCUN_TFC_FiLM DCUN_TFC_FiLM_LaSAFT_Framework DCUN_TFC_FiLM_LaSAFT DCUN_TFC_FiLM_TDF_Framework DCUN_TFC_FiLM_TDF DCUN_TFC_GPoCM_Framework DCUN_TFC_GPoCM DCUN_TFC_GPoCM_LaSAFT DCUN_TFC_GPoCM_LaSAFT_Framework DCUN_TFC_GPoCM_LightSAFT_Framework DCUN_TFC_GPoCM_LightSAFT DCUN_TFC_GPoCM_TDF_Framework DCUN_TFC_GPoCM_TDF eval train DTFC TDF_f1_to_f2 TFC TFC_TDF DTFC_TDF TDF TFC_RNN pocm_control_model dense_control_block film_control_model get_lasaft_large FiLM_complex FiLM_simple STFT complex_angle multi_channeled_STFT mag_phase_to_complex complex_norm get_trim_length wandb_login string_to_tuple get_activation_by_name mkdir_if_not_exists get_optimizer_by_name get_estimation log_hyperparameters print_config string_to_list flat_word_set HydraInstantiator Pocm_Matmul Pocm_naive init_weights_functional eval rank_zero_info to_yaml main get print_config train print download __define_large_params__ move add_argument ArgumentParser add_ mul_ get_test_dataset_and_loader add_track musdb_reference pretrained Path log_hyperparams log watch eval_mus_track call EvalStore samples to sum range close is_available data_provider instantiate wandb_login isinstance print to_dict len instantiate items list wandb_login watch get_training_dataset_and_loader isinstance model trainer print lr_find warn log_hyperparameters data_provider get_validation_dataset_and_loader seed_everything append fit print str download move unsqueeze unsqueeze ceil pow stack cos sin split split makedirs warn concatenate login get str to_yaml isinstance print Tree add Syntax sum log_hyperparams unsqueeze transpose unsqueeze matmul isinstance Tanh Sigmoid parameters ReLU xavier_normal_ LeakyReLU kaiming_normal_ | ws-choi/Conditioned-Source-Separation-LaSAFT | 4,112 |
wswu/coglust | ['semantic textual similarity', 'transliteration', 'machine translation'] | ['Creating Large-Scale Multilingual Cognate Tables'] | make_multi_bitext.py scripts/getlangcodes.py getlexfiles.py merge_tables.py prettyprintlex.py weightedlev.py filter-table.py numbers2table.py evaluate.py filter-swadesh.py combined_distance.py clustered2bitext.py gather_from_dicts.py createdicts.py results2pairwisetable.py memt-parse.py langcodes.py config.py cluster.py swadesh2bitext.py Word plot normalized_levenshtein_dist intra_dist read_args cluster weighted_dist read_combined_table run_par inter_dist make_qsubs cluster_and_plot run make_singles read_clustered get_langs assign_split tr make_bitext split main plot read_distances makeqsubs get_lang_codes_dict run despace get_names load_data nlist2list acc good_char Word parseargs normalize_pos to3 gather_from_panlex_backtrans extend_with_microlangs gather_from_panlex main gather gather_from_wiktionary get_langs_from_file get_langs_from_ethnologue remove_dups macrolang get_langs macro2microlangs parse_macrolangs main format format make_singles convert_to_cost_funcs load_lex distance weightedlev convert_to_cost_functions read_lex_file main distance_f main lang load_lex load_lex triu_indices apply_along_axis fcluster linkage len triu_indices plot print apply_along_axis fcluster linkage len groupby list join print close perf_counter map read_combined_table dirname append Pool makedirs join format system dirname makedirs dendrogram use ylabel capitalize title savefig figure add_argument ArgumentParser list map read_clustered get_langs zip get_langs shuffle list shuffle mkdir zip enumerate triu_indices list apply_along_axis set linkage len fetchall str groupby cursor replace print close connect Counter execute enumerate groupby list set any nlist2list max split append list extend_with_microlangs set format extend_with_microlangs listdir sorted print gather_from_panlex_backtrans gather_from_panlex gather_from_wiktionary len upper add_argument ArgumentParser parseargs output_file gather gathered_panlex split isfile get_langs_from_ethnologue remove_dups decode isalpha group Request urlopen append finditer groupby sorted defaultdict list items append add set int remove join sorted groupby print sort Counter add set append make_bitext print convert_to_cost_funcs format read_lex_file get min zeros range len ins_cost min del_cost zeros range sub_cost len distance fetchall defaultdict cursor connect execute | wswu/coglust | 4,113 |
wtjiang98/PSGAN | ['style transfer'] | ['PSGAN++: Robust Detail-Preserving Makeup Transfer and Removal'] | ops/histogram_loss.py scripts/get_masks.py concern/visualize.py concern/__init__.py faceutils/mask/__init__.py psgan/__init__.py psgan/postprocess.py faceutils/faceplusplus.py train.py faceutils/dlibutils/main.py data_loaders/makeup_dataloader.py psgan/solver.py faceutils/__init__.py faceutils/mask/resnet.py scripts/get_face.py ops/spectral_norm.py faceutils/mask/main.py faceutils/mask/model.py scripts/get_lms.py psgan/config.py psgan/preprocess.py scripts/show_data.py concern/image.py scripts/test_dataloader.py faceutils/dlibutils/__init__.py tools/inception_score.py data_loaders/__init__.py demo.py ops/loss_added.py psgan/net.py tools/data_reader.py dataloder.py setup.py psgan/inference.py tools/plot.py concern/track.py ops/histogram_matching.py ToTensor get_loader main setup_argparser setup_config train_net image2buffer load_image resize_by_max Track channel_first draw_points mask2image MakeupDataloader encode rank beautify detect landmarks crop_from_array crop crop_by_image_size FaceParser FeatureFusionModule BiSeNet AttentionRefinementModule BiSeNetOutput ConvBNReLU ContextPath SpatialPath conv3x3 Resnet18 BasicBlock create_layer_basic HistogramLoss cal_trans cal_hist histogram_matching GANLoss remove_spectral_norm SpectralNorm spectral_norm l2normalize get_config Inference GetMatrix ResidualBlock Generator VGG _vgg NONLocalBlock2D Discriminator make_layers vgg16 PostProcess PreProcess copy_area ToTensor to_var Solver main worker fast_detect main main main vis_input DataReader _init_inception get_inception_score flush plot tick int16 view isinstance contiguous from_buffer ByteTensor from_numpy mode int32 tobytes array len MakeupDataloader DataLoader Compose PATH speed Inference transfer PostProcess save device list parse_args range postprocess glob shuffle model_path crop time print add_argument setup_config convert setup_argparser add_argument ArgumentParser merge_from_file get_config config_file merge_from_list opts freeze train Solver get_loader int max imencode int rand shape zeros max range print hasattr circle post url post url int asarray right left rectangle resize_by_max bottom append rectangles detector top int center height y size min right rectangle bottom width left max x top center int y size right rectangle bottom left crop x top parts int center height y right min rectangle bottom width left max x top append BasicBlock range histc from_numpy numpy append sum range list range deepcopy cal_hist numpy cuda range len apply list items remove Conv2d load_state_dict_from_url make_layers VGG load_state_dict int asarray size right rectangle bottom resize left max detector top name joinpath mkdir open join partial close map smart_path rglob Pool fromstring imdecode Path defaultdict name IMREAD_COLOR read_bytes asarray resize_by_max mkdir uint8 write_text items parent tqdm joinpath FaceParser open uint8 asarray tuple astype waitKey imshow circle pick DataReader vis_input append expand_dims astype float32 join urlretrieve print extractall stat makedirs update join list items plot xlabel sort ylabel clf savefig keys makedirs | wtjiang98/PSGAN | 4,114 |
wubaoyuan/Sparse-Adversarial-Attack | ['adversarial attack'] | ['Sparse Adversarial Attack via Perturbation Factorization'] | utils.py main.py model.py flags.py train_adptive batch_train train_sgd_atom update_G main update_epsilon CifarNet compute_sensitive save_results compute_group_loss Normalization compute_statistics compute_loss_statistic compute_predictions_labels compute_loss parse_dict compute_cnn_loss project_shifted_lp_ball load batch_train attacked_model img_file parameters load_state_dict cuda data compute_sensitive save_results target flatten resize max cuda open weight_type transpose tolist k slic range train_adptive format vars float int time print min zeros array init_lambda1 min lambda1 train_sgd_atom lambda1_search_times append lambda1_lower_bound lambda1_upper_bound max range lr_e compute_loss_statistic compute_predictions_labels maxIter_mm update_G float update_epsilon cuda range mul model confidence lambda1 compute_loss_statistic tensor lr_min max cuda lr_decay_factor compute_predictions_labels sum CrossEntropyLoss range detach grad zero_ max_pix_value backward clamp Normalization ce min_pix_value rho4_max mul zeros_like model rho_increase_factor confidence lambda1 compute_loss_statistic tensor lr_min max cuda rho2_max lr_decay_factor rho1_max k shape compute_predictions_labels sum CrossEntropyLoss range detach ones_like rho3_max grad zero_ item project_shifted_lp_ball lambda2 max_pix_value backward clamp reshape min Normalization maxIter_g ce min_pix_value float norm numel compute_group_loss lambda1 item compute_cnn_loss lambda2 shape norm reshape item sum max mul max_pix_value model clamp Normalization confidence ce tensor min_pix_value cuda CrossEntropyLoss clamp mul min_pix_value max_pix_value compute_statistics compute_loss argmax mul max_pix_value model clamp Normalization min_pix_value str join str convert astype res_root mkdir save array ones_like std transpose min mean shape isnan sqrt zeros float max range prewitt | wubaoyuan/Sparse-Adversarial-Attack | 4,115 |
wufanyou/EPGD | ['adversarial attack'] | ['Efficient Project Gradient Descent for Ensemble Adversarial Attack'] | inception_v3.py attack_inc.py eval.py attack.py vgg.py eval_res_in.py Graph Eval Graph Eval _reduced_kernel_size_for_small_input inception_v3 inception_arg_scope inception_v3_base vgg_16 vgg_arg_scope vgg_a vgg_19 norm constant one_hot ones reshape resize_bilinear transpose is_mask maxa sign confidence pad floor clip_by_value round mina abs softmax_cross_entropy reshape constant batch_norm as_list | wufanyou/EPGD | 4,116 |
wuhuikai/FastFCN | ['semantic segmentation'] | ['FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation'] | encoding/parallel.py encoding/dilated/resnet.py encoding/utils/metrics.py encoding/functions/encoding.py encoding/models/encnet.py encoding/nn/syncbn.py scripts/prepare_pcontext.py encoding/models/psp.py encoding/functions/__init__.py encoding/models/model_store.py encoding/datasets/__init__.py encoding/nn/__init__.py encoding/models/fcn.py encoding/datasets/pascal_voc.py encoding/utils/files.py encoding/utils/lr_scheduler.py encoding/datasets/cityscapes.py encoding/models/__init__.py experiments/segmentation/test.py scripts/prepare_pascal.py encoding/utils/__init__.py scripts/prepare_cityscapes.py encoding/datasets/base.py encoding/models/model_zoo.py experiments/segmentation/option.py encoding/datasets/ade20k.py encoding/datasets/pascal_aug.py encoding/datasets/coco.py experiments/segmentation/test_fps_params.py experiments/segmentation/train.py encoding/models/base.py scripts/prepare_coco.py scripts/prepare_ade20k.py encoding/utils/pallete.py encoding/dilated/__init__.py encoding/nn/comm.py encoding/__init__.py encoding/nn/customize.py encoding/nn/encoding.py encoding/functions/syncbn.py encoding/datasets/pcontext.py experiments/segmentation/test_single_image.py encoding/models/deeplabv3.py CallbackContext allreduce AllReduce DataParallelModel _criterion_parallel_apply execute_replication_callbacks Reduce DataParallelCriterion ADE20KSegmentation _get_ade20k_pairs BaseDataset test_batchify_fn get_city_pairs CitySegmentation COCOSegmentation VOCAugSegmentation VOCSegmentation ContextSegmentation get_segmentation_dataset ResNet resnet50 Bottleneck resnet152 conv3x3 resnet34 resnet18 BasicBlock resnet101 ScaledL2 aggregate scaled_l2 Aggregate normalization Normalization module_inference MultiEvalModule BaseNet flip_image resize_image pad_image crop_image ASPP_Module DeepLabV3 get_deeplab AsppPooling ASPPConv DeepLabV3Head EncHead get_encnet_resnet101_ade EncNet get_encnet_resnet50_ade EncModule get_encnet_resnet101_pcontext get_encnet_resnet152_ade get_encnet get_encnet_resnet50_pcontext get_fcn_resnet50_pcontext FCNHead get_fcn_resnet50_ade FCN get_fcn get_model_file short_hash purge pretrained_model_list get_model PSPHead PSP get_psp_resnet50_ade get_psp get_segmentation_model SyncMaster FutureResult SlavePipe JUM SeparableConv2d JPU_X Normalize SegmentationLosses PyramidPooling Mean JPU Encoding BatchNorm SyncBatchNorm download save_checkpoint mkdir check_sha1 LR_Scheduler SegmentationMetric batch_pix_accuracy batch_intersection_union get_mask_pallete _get_voc_pallete Options test test Trainer parse_args download_ade download_city parse_args parse_args install_coco_api download_coco parse_args download_voc download_aug install_pcontext_api parse_args download_ade join isinstance _worker len start is_grad_enabled append range Lock list hasattr __data_parallel_replicate__ modules enumerate len print join get_path_pairs list isinstance zip print join get_path_pairs load_url ResNet load_state_dict load_url ResNet load_state_dict load ResNet load_state_dict get_model_file load ResNet load_state_dict get_model_file load ResNet load_state_dict get_model_file flip_image evaluate size resize_ pad array range norm_layer Sequential ReLU Conv2d NUM_CLASS DeepLabV3 load EncNet get_model_file load_state_dict NUM_CLASS load get_model_file load_state_dict NUM_CLASS FCN get join remove format print check_sha1 expanduser download exists makedirs join remove endswith expanduser listdir lower load PSP get_model_file load_state_dict NUM_CLASS copyfile save makedirs get join isdir print dirname abspath expanduser makedirs sha1 makedirs sum max astype dtype max histogram astype fromarray lower astype putpalette range num_class model save_folder get_mask_pallete DataLoader get_segmentation_model save dataset cuda get_segmentation_dataset load_state_dict format model_zoo Compose eval resume zip enumerate load join SegmentationMetric print tqdm get_model makedirs save_path unsqueeze NUM_CLASS add_argument ArgumentParser join download mkdir print join mkdir download mkdir rmtree system join download mkdir join download mkdir basename move rmtree system | wuhuikai/FastFCN | 4,117 |
wulalago/DAF3D | ['medical image segmentation', 'semantic segmentation'] | ['Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound'] | ResNeXt3D.py Train.py Utils.py BackBone3D.py DAF3D.py DataOperate.py BackBone3D MySet get_data_list ResNeXtBottleneck conv3x3x3 ResNeXt3D ResNeXtDilatedBottleneck get_fine_tuning_parameters resnext3d50 resnext3d152 downsample_basic_block resnext3d10 resnext3d34 resnext3d200 resnext3d18 resnext3d101 DiceLoss dice_ratio join int glob sort shuffle len data isinstance FloatTensor Variable zero_ avg_pool3d cuda cat append format range named_parameters ResNeXt3D ResNeXt3D ResNeXt3D ResNeXt3D ResNeXt3D ResNeXt3D ResNeXt3D flatten float sum | wulalago/DAF3D | 4,118 |
wustl-cig/bcred | ['denoising'] | ['Block Coordinate Regularization by Denoising'] | Regularizers/denoiseTV.py DataFidelities/RadonClass.py Regularizers/layers_tf.py Regularizers/nets_tf.py Demo_DnCNNstar_Random.py Regularizers/robjects_tf.py DataFidelities/FourierClass.py util.py DataFidelities/RadonEffClass.py Demo_DnCNNstar_Radon.py Demo_DnCNNstar_RadonSlow.py iterAlgs.py DataFidelities/DataClass.py Demo_DnCNNstar_Fourier.py DataFidelities/RandomClass.py bcredEst redEst save_mat addwgn powerIter to_rgb putback_nonoverlap_patches save_img extract_padding_patches extract_nonoverlap_patches to_double DataClass FourierClass RadonClass sinogram_linear_inverse_interpolation RadonEffClass sinogram_linear_interpolation RandomClass projectL2 AdjTVOp2D TVOp2D cost denoiseTV dualcost Lipschitz project mse_array deconv2d_bn_relu concat max_pool rescale conv2d conv2d_relu conv2d_bn log conv2d_bn_relu weight_variable dncnn TVClass RegularizerClass DnCNNClass flatten red abspath clip exists save_mat str exit append sigSize range prox format inf grad sqrt eval evaluateSnr init time norm print save_img rmtree zeros makedirs permutation flatten red abspath gradBloc exists save_mat str append fmultPatch sigSize range format putback_nonoverlap_patches grad eval evaluateSnr init norm time print save_img extract_padding_patches rmtree extract_nonoverlap_patches res zeros makedirs atleast_3d tile atleast_3d tile savemat to_rgb uint8 astype imsave norm nditer randn isreal flatten zeros range shape int shape sqrt zeros range int list shape sqrt pad zeros range norm A format randn print flatten dot real abs range int round zeros int round zeros norm format projectL2 AdjTVOp2D print TVOp2D cost flatten sqrt log10 dualcost Lipschitz power range array project correlate shape array zeros correlate array divide tile array norm sqrt correlate power sum array power sum project max transpose power fft2 absolute roll shape zeros array constant truncated_normal reduce_min reduce_max to_float reduce_sum squared_difference conv2d conv2d_transpose conv2d conv2d range | wustl-cig/bcred | 4,119 |
wuyang556/ANNN_Paddle | ['semantic segmentation'] | ['Asymmetric Non-local Neural Networks for Semantic Segmentation'] | ANNN/utils/metrics.py ANNN/option.py ANNN/train.py ANNN/reader/citys_reader.py ANNN/models/annn.py ANNN/reader/voc_reader.py ANNN/models/backbone/__init__.py ANNN/models/backbone/dialted_resnet.py ANNN/utils/logger.py ANNN/models/__init__.py ANNN/models/modeling/apnb.py ANNN/reader/__init__.py ANNN/models/modeling/__init__.py ANNN/reader/ade20k_reader.py ANNN/models/nn.py ANNN/utils/loss.py ANNN/utils/viz.py ANNN/models/modeling/afnb.py ANNN/utils/__init__.py ANNN/reader/base_reader.py ANNN/utils/checkpoints.py Options Trainer ANNN_Head ANNN AdaptiveAvgPool3d Softmax ReLU6 Dropout2d SeparableConv2d Sigmoid ReLU PyramidPooling AdaptiveAvgPool2d JPU PixelShuffle conv1x1 resnext50_32x4d wide_resnet50_2 ResNet resnet50 resnext101_32x8d Bottleneck resnet152 wide_resnet101_2 conv3x3 _resnet resnet34 resnet18 BasicBlock resnet101 PSPModule AFNB SelfAttentionBlock2D _SelfAttentionBlock PSPModule SelfAttentionBlock2D APNB _SelfAttentionBlock Ade20kSegDataset SegDataset CitysSegDataset VOCSegDataset VOCAugSegDataset get_segmentation_reader load_checkpoints save_checkpoints Logger loss SegmentationLosses SegmentationMetric batch_pix_accuracy batch_intersection_union RecordViz ResNet load_dygraph set_dict join expanduser join expanduser join expanduser join expanduser join expanduser join expanduser join expanduser join expanduser join expanduser replace copy reshape transpose astype cast softmax cross_entropy sum argmax astype dtype astype numpy histogram argmax | wuyang556/ANNN_Paddle | 4,120 |
wvangansbeke/Unsupervised-Semantic-Segmentation | ['unsupervised semantic segmentation', 'unsupervised pre training', 'semantic segmentation'] | ['Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals'] | pretrain/modules/deeplab.py segmentation/models/models.py segmentation/utils/train_utils.py pretrain/utils/config.py segmentation/data/dataloaders/custom_transforms.py segmentation/models/resnet_dilated.py pretrain/modules/resnet_dilated.py pretrain/data/dataloaders/transforms.py segmentation/data/util/helpers.py segmentation/utils/retrieval_utils.py segmentation/linear_finetune.py segmentation/utils/common_config.py pretrain/modules/models.py pretrain/data/util/google_drive.py pretrain/utils/collate.py pretrain/data/dataloaders/pascal_voc.py segmentation/utils/utils.py segmentation/utils/config.py segmentation/data/util/mypath.py pretrain/modules/moco/builder.py segmentation/utils/crf.py segmentation/utils/kmeans_utils.py pretrain/utils/logger.py pretrain/utils/train_utils.py segmentation/utils/evaluate_utils.py pretrain/utils/common_config.py segmentation/retrieval.py segmentation/utils/collate.py pretrain/data/dataloaders/dataset.py segmentation/models/deeplab.py pretrain/main.py segmentation/utils/logger.py segmentation/data/util/google_drive.py segmentation/kmeans.py pretrain/modules/losses.py segmentation/eval.py segmentation/data/dataloaders/pascal_voc.py pretrain/data/util/mypath.py segmentation/utils/visualization.py pretrain/utils/utils.py main_worker main DatasetKeyQuery Dataset VOCSegmentation ToTensor RandomResizedCrop Resize Normalize RandomHorizontalFlip RandomGrayscale ColorJitter download_file_from_google_drive Path ASPPPooling DeepLabHead ASPPConv ASPP BalancedCrossEntropyLoss ContrastiveSegmentationModel ResnetDilated concat_all_gather ContrastiveModel collate_custom get_train_dataset get_train_transformations get_val_transformations get_train_dataloader load_pretrained_weights adjust_learning_rate get_model get_optimizer create_config load_config Logger train accuracy freeze_layers AverageMeter ProgressMeter mkdir_if_missing main main main main ScaleNRotate FixedResizeRatio FixedResize ToTensor RandomResize Normalize RandomHorizontalFlip VOC12 download_file_from_google_drive fixed_resize tens2image im_normalize ind2sub pascal_color_map Path ASPPPooling DeepLabHead ASPPConv ASPP SimpleSegmentationModel ContrastiveSegmentationModel ResnetDilated collate_custom get_val_dataloader get_train_dataset get_val_dataset get_train_transformations get_val_transformations get_train_dataloader load_pretrained_weights adjust_learning_rate get_model get_optimizer create_config load_config dense_crf save_results_to_disk eval_segmentation_supervised_offline eval_segmentation_supervised_online _hungarian_match _majority_vote eval_kmeans get_iou save_embeddings_to_disk Logger retrieval build_memory_bank train_segmentation_vanilla SemsegMeter AverageMeter ProgressMeter mkdir_if_missing visualize_sample_with_prediction visualize_sample_with_saved_prediction color_map visualize_sample world_size parse_args spawn device_count get_train_transformations config_env DistributedDataParallel DatasetKeyQuery DataLoader Logger abspath adjust_learning_rate save cuda get_optimizer exists initialize get_train_dataset set_device DistributedSampler rank load_state_dict range format init_process_group gpu ContrastiveModel config_exp create_config colored load join int print parameters train nvidia_apex len get items list startswith Session cat all_gather list ndarray isinstance Sequence int64 zip Tensor Mapping items list print load_state_dict startswith load_state_dict_from_url DeepLabHead load_pretrained_weights ResnetDilated Adam SGD param_groups cos pi pow sum EasyDict items list EasyDict items list join mkdir_if_missing model zero_grad cuda log display numel freeze_layers cross_entropy update size unique item float enumerate backward AverageMeter accuracy ProgressMeter step len topk size t eq mul_ expand_as append sum max makedirs eval named_parameters save_results_to_disk config_env abspath cuda get_val_dataloader load_state_dict state_dict get_model format get_val_transformations setNumThreads config_exp create_config colored load print get_val_dataset eval_segmentation_supervised_offline len VOC12 save_embeddings_to_disk list append range mean eval_kmeans startswith num_seeds items get_train_transformations get_train_dataloader adjust_learning_rate Logger save get_optimizer exists get_train_dataset train_segmentation_vanilla CrossEntropyLoss eval_segmentation_supervised_online named_parameters retrieval str build_memory_bank join squeeze numpy transpose zeros bitget array range int all isinstance tuple min range INTER_CUBIC resize append INTER_NEAREST float round max zeros min max append astype range len format normal_ zero_ int ContrastiveSegmentationModel SimpleSegmentationModel Conv2d VOC12 VOC12 setUnaryEnergy uint8 addPairwiseGaussian reshape squeeze addPairwiseBilateral astype ascontiguousarray float32 inference unary_from_softmax numpy DenseCRF2D get_class_names update model SemsegMeter return_score eval argmax cuda enumerate get_class_names int join format uint8 print astype warn dict mean resize float max range enumerate len join uint8 format imwrite model print dense_crf astype eval resize dataset cuda range enumerate len _majority_vote adjusted_rand_score resize max sum range get_class_names format _hungarian_match normalized_mutual_info_score mean colored float enumerate load int join print dict zeros len model save dataset cuda dtype list squeeze sampler shape append normalize fit_transform range format copy eval colored zip float type fit_predict enumerate join MiniBatchKMeans print reshape PCA numpy len T list print linear_sum_assignment zip append array list T zip argmax array range float max model cuda dtype squeeze shape normalize range format set eval unique float type long enumerate print reshape issubset cpu numpy len model argmax cuda return_score ignore_classes dtype squeeze matmul shape append normalize range get_class_names update format size mean eval type enumerate SemsegMeter print reshape t index_select len model zero_grad argmax cuda return_score display get_class_names update eval item enumerate criterion SemsegMeter print backward AverageMeter ProgressMeter train step len show subplot uint8 color_map astype axis tight_layout imshow title savefig figure unique resize empty show join uint8 subplot color_map astype axis tight_layout imshow title savefig figure unique empty show uint8 color_map subplots astype axis tight_layout imshow empty savefig unique numpy zeros bitget array range | wvangansbeke/Unsupervised-Semantic-Segmentation | 4,121 |
wxue004cs/GCAE | ['sentiment analysis', 'aspect based sentiment analysis'] | ['Aspect Based Sentiment Analysis with Gated Convolutional Networks'] | model_files/mydatasets.py model_files/cnn_gate_aspect_model.py model_files/run.py model_files/cnn_gate_aspect_model_atsa.py model_files/getsemeval.py model_files/cnn_train.py model_files/w2v.py CNN_Gate_Aspect_Text CNN_Gate_Aspect_Text eval train read_sentence1516 get_semeval_target print_unrolled_stats read_sentence14 read_yelp filter_14 read_sentence14_target print_unrolled_stats_atsa read_sentence1516_target filter_by_aspect get_semeval TarDataset SemEval SemEval_TD MR clean_str SemEval_RAN load_semeval_data load_w2v_embedding load_aspect_embedding_from_file load_aspect_embedding_from_w2v load_yelp_embedding load_glove_embedding save_embedding sub_ model batch_size zero_grad save save_dir cuda epochs append sum range cross_entropy Adagrad format eval t_ unsqueeze_ time join backward print write parameters step makedirs unsqueeze_ format sub_ model print train t_ dataset cuda cross_entropy len dict items list copy items list defaultdict replace copy Counter dict append MosesTokenizer MosesTokenizer list read_sentence1516 format read_sentence14 print strip filter_by_aspect append len list format print strip read_sentence14_target append len sorted defaultdict format print add dict set keys tokenize append MosesTokenizer len MosesTokenizer sorted defaultdict format print keys append tokenize len sub splits_train_test r_l get_semeval_target splits SemEval use_attribute build_vocab get_semeval load_word2vec_format zeros uniform append fromstring strip uniform append zeros getline format print uniform append array append append uniform | wxue004cs/GCAE | 4,122 |
wy1iu/NSL | ['few shot learning'] | ['Neural Similarity Learning'] | nsl_image_recog/experiments_cifar10/dynamic_dns/train.py nsl_image_recog/experiments_cifar100/dynamic_dns/cifar100_input.py nsl_image_recog/experiments_cifar100/dynamic_dns/architecture.py nsl_image_recog/experiments_cifar100/dynamic_uns/train.py nsl_image_recog/experiments_cifar10/static_uns/architecture.py nsl_image_recog/experiments_cifar100/static_uns/train.py nsl_image_recog/nsl_fspherenet/cifar10_input.py nsl_image_recog/experiments_cifar100/dynamic_dns/train.py nsl_image_recog/experiments_cifar100/dynamic_uns/cifar100_input.py nsl_image_recog/experiments_cifar10/dynamic_uns/train.py nsl_image_recog/experiments_cifar100/static_dns/architecture.py nsl_image_recog/nsl_fspherenet/architecture.py nsl_global_ns/spherenet.py nsl_image_recog/experiments_cifar10/static_dns/loss.py nsl_image_recog/experiments_cifar100/static_uns/loss.py nsl_image_recog/experiments_cifar10/static_dns/architecture.py nsl_image_recog/experiments_cifar100/static_dns/train.py nsl_image_recog/experiments_cifar100/static_dns/cifar100_input.py nsl_global_ns/cifar10_input.py nsl_image_recog/experiments_cifar10/static_dns/cifar10_input.py nsl_image_recog/experiments_cifar10/dynamic_dns/loss.py nsl_image_recog/experiments_cifar100/static_uns/cifar100_input.py nsl_global_ns/loss.py nsl_image_recog/experiments_cifar10/dynamic_uns/loss.py nsl_image_recog/experiments_cifar10/dynamic_uns/architecture.py nsl_image_recog/nsl_fspherenet/loss.py nsl_global_ns/test.py nsl_global_ns/train_sa.py nsl_image_recog/experiments_cifar100/dynamic_uns/architecture.py nsl_image_recog/nsl_fspherenet/train_nsl_fs.py nsl_image_recog/experiments_cifar100/dynamic_uns/cifar10_input.py nsl_image_recog/experiments_cifar10/dynamic_dns/architecture.py nsl_image_recog/experiments_cifar10/static_uns/train.py nsl_image_recog/experiments_cifar100/dynamic_uns/loss.py nsl_image_recog/experiments_cifar10/dynamic_dns/cifar10_input.py nsl_image_recog/experiments_cifar10/static_dns/train.py nsl_image_recog/experiments_cifar100/static_dns/loss.py nsl_image_recog/experiments_cifar10/static_uns/cifar10_input.py nsl_image_recog/experiments_cifar10/dynamic_uns/cifar10_input.py nsl_image_recog/experiments_cifar100/static_uns/architecture.py nsl_image_recog/experiments_cifar100/dynamic_dns/loss.py nsl_image_recog/nsl_fspherenet/cifar100_input.py nsl_image_recog/experiments_cifar10/static_uns/loss.py distorted_inputs inputs read_cifar10 _generate_image_and_label_batch loss2 SphereNet VGG distorted_inputs inputs read_cifar10 _generate_image_and_label_batch loss2 train VGG distorted_inputs inputs read_cifar10 _generate_image_and_label_batch loss2 train VGG distorted_inputs inputs read_cifar10 _generate_image_and_label_batch loss2 train VGG distorted_inputs inputs read_cifar10 _generate_image_and_label_batch loss2 train VGG distorted_inputs inputs read_cifar10 _generate_image_and_label_batch loss2 train VGG distorted_inputs inputs read_cifar10 _generate_image_and_label_batch distorted_inputs inputs read_cifar10 _generate_image_and_label_batch loss2 train VGG distorted_inputs inputs read_cifar10 _generate_image_and_label_batch loss2 train VGG distorted_inputs inputs read_cifar10 _generate_image_and_label_batch loss2 train VGG distorted_inputs inputs read_cifar10 _generate_image_and_label_batch distorted_inputs inputs read_cifar10 _generate_image_and_label_batch loss2 train read height decode_raw uint8 reshape CIFAR10Record transpose strided_slice cast int32 width depth FixedLengthRecordReader image shuffle_batch batch int string_input_producer random_flip_left_right print float32 cast set_shape uint8image read_cifar10 int string_input_producer float32 cast set_shape uint8image read_cifar10 random_crop pad score to_int32 get_regularization_losses add_n save distorted_inputs loss2 Session run to_float str basename VGG placeholder build dirname range start_queue_runners inputs realpath pred mkdir float equal cond join int minimize print Coordinator reduce_mean global_variables_initializer | wy1iu/NSL | 4,123 |
wzhouad/ATLOP | ['relation extraction', 'multi label classification'] | ['Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling'] | losses.py train.py evaluation.py train_bio.py long_seq.py utils.py prepro.py model.py official_evaluate to_official gen_train_facts process_long_input ATLoss DocREModel read_gda read_docred chunks read_cdr main train evaluate report main train evaluate collate_fn set_seed append tolist range load join dump list replace tuple set add exists open load join gen_train_facts sort makedirs len set add append range open model size tolist extend stack pad unsqueeze zip append to sum cat enumerate range len int list format print convert_tokens_to_ids len extend keys tqdm build_inputs_with_special_tokens append tokenize range enumerate print len format set print len format set initialize finetune set_seed AdamW zero_grad num_train_epochs data_dir astype float32 official_evaluate eval DataLoader to_official astype float32 eval DataLoader to_official from_pretrained sep_token_id transformer_type report ArgumentParser train_file device initialize set_seed data_dir cls_token_id device_count load_state_dict parse_args to DocREModel init load_path load join read evaluate model_name_or_path print add_argument test_file train dev_file sum seed manual_seed_all manual_seed tensor max | wzhouad/ATLOP | 4,124 |
xaggi/OGNet | ['one class classifier', 'anomaly detection'] | ['Old is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm'] | opts_fine_tune_discriminator.py train.py network.py dataloader.py test.py opts.py model_fine_tune_discriminator.py utils.py fine_tune_dicriminator.py model.py load_data load_data_train fine_tune check_auc OGNet Fine_Tune_Disc d_net g_net Flatten parse_opts parse_opts_ft gaussian ImageFolder DataLoader ImageFolder DataLoader low_epoch parse_opts_ft load_data_train high_epoch train Fine_Tune_Disc cuda range test_patches format parse_opts concatenate print roc_curve copy load_data f1_score cuda OGNet auc parse_args add_argument ArgumentParser parse_args add_argument ArgumentParser normal_ clamp | xaggi/OGNet | 4,125 |
xaosina/Struct-Sparse-Pruning | ['sparse learning'] | ['Variational Dropout Sparsifies Deep Neural Networks'] | layers.py learning.py Sparse_like Struct_like SGVLB mywork Sparse_like Struct_like SGVLB mywork | xaosina/Struct-Sparse-Pruning | 4,126 |
xavierzw/ogb-geniepath-bs | ['graph attention'] | ['Bandit Samplers for Training Graph Neural Networks'] | train.py cython_sampler/setup.py models.py utils.py inits.py ones zeros uniform glorot GeniePath attention_mechanism Model glorot GAT iterate_minibatches construct_feed_dict convert_support main gen_fullgraph gen_subgraph calc_f1 sample_mask accuracy preprocess parse_index_file glorot load_data random_uniform sqrt random_uniform tanh sparse_softmax sparse_tensor_dense_matmul multiply reshape dense_shape exit reduce_sum matmul indices add LeakyReLU abs SparseTensor int arange concatenate slice shuffle ceil float range list sorted SparseTensorValue sample_graph ones add set append array len SparseTensorValue row concatenate ones tocoo len dict update append range len iterate_minibatches Saver save dataset Session run count_nonzero restore std ones len tolist epochs append range GeniePath update format Evaluator construct_feed_dict mean mkdir init gen_fullgraph join time evaluate print BanditMPSampler reshape extend load_data global_variables_initializer gen_subgraph array split append int strip open zeros f1_score argmax argmax save open list csr_matrix tolist exit append sum range format concatenate coo_matrix mkdir join print reshape get_idx_split tqdm zeros save_npz len load join format NodePropPredDataset print tolil astype preprocess mkdir item bool split | xavierzw/ogb-geniepath-bs | 4,127 |
xavysp/DexiNed | ['boundary detection', 'edge detection'] | ['Dense Extreme Inception Network: Towards a Robust CNN Model for Edge Detection', 'Dense Extreme Inception Network for Edge Detection'] | legacy/utls/utls.py DexiNed-TF2/dataset_manager.py legacy/utls/dataset_manager.py DexiNed-TF2/model.py DexiNed-TF2/main.py legacy/test.py utils/image.py utils/__init__.py dexi_utils.py DexiNed-TF2/utls.py legacy/utls/losses.py DexiNed-TF2/run_model.py main.py model.py losses.py legacy/models/dexined.py legacy/run_model.py datasets.py legacy/train.py dataset_info BipedDataset TestDataset tensor2edge image_normalization textureloss bdrloss bdcn_loss2 hed_loss2 cats_loss rcf_loss bdcn_lossORI test main train_one_epoch testPich parse_args validate_one_epoch UpConvBlock DexiNed CoFusion DoubleConvBlock weight_init SingleConvBlock _DenseLayer _DenseBlock dataset_info DataLoader main pre_process_binary_cross_entropy UpConvBlock DexiNed DoubleConvBlock SingleConvBlock _DenseLayer weighted_cross_entropy_loss _DenseBlock run_DexiNed data_parser visualize_result tensor2image make_dirs restore_rgb read_files_list cv_imshow h5_writer image_normalization main config_model get_session m_tester m_trainer dexined get_batch data_parser augment_data get_training_batch visualize_result get_testing_batch rotated_img_extractor get_validation_batch open_images cv_imshow get_single_image sigmoid_cross_entropy_balanced print_info split_pair_names tensor_norm_01 print_error save_variable_h5 restore_edgemap h5_reader restore_rgb read_files_list normalization_data_0255 get_local_time normalization_data_01 print_warning save_h5_data get_model_trained_name gamma_correction image_normalization visualize_result count_parameters restore_rgb save_image_batch_to_disk image_normalization min max float32 uint8 destroyAllWindows print COLOR_GRAY2BGR bitwise_not waitKey sigmoid shape imshow numpy image_normalization cvtColor sigmoid float long sigmoid mean float sum long sum Tensor size sigmoid zeros float numpy cuda range sigmoid float long ones clamp float conv2d to log ones conv2d to float textureloss bdrloss binary_cross_entropy sigmoid float sum imwrite model zero_grad FONT_HERSHEY_SIMPLEX numpy unsqueeze output_dir resize ctime visualize_result len append to sum range format LINE_AA mean item enumerate join backward print putText makedirs train step add_scalar eval load print mean eval test_data load_state_dict sum array load print mean eval test_data load_state_dict sum array dataset_info add_argument ArgumentParser TestDataset checkpoint_data res_dir count_parameters DataLoader output_dir device BipedDataset input_dir testPich save train_data open seed str is_testing Adam load_state_dict train_one_epoch to range validate_one_epoch SummaryWriter format param_groups close double_img test resume lr manual_seed load join log_interval_vis input_val_dir add_scalar print write parameters test_data adjust_lr epochs makedirs isinstance ConvTranspose2d Conv2d zeros_ normal_ bias xavier_normal_ weight train run_DexiNed weighted_cross_entropy_with_logits cast reduce_sum get_shape bc_loss float32 reduce_sum where sigmoid cast append equal print makedirs readlines close open join format arange print shuffle read_files_list split append listdir len imshow waitKey destroyAllWindows print range array image_normalization uint8 LINE_AA putText squeeze bitwise_not COLOR_GRAY2BGR FONT_HERSHEY_SIMPLEX resize append zeros range image_normalization cvtColor len uint8 imwrite print squeeze bitwise_not resize image_normalization parse_args add_argument ArgumentParser GPUOptions get_session setup m_trainer exit m_tester model_state gpu_limit run print shape getRotationMatrix2D warpAffine print exit imwrite rotated_img_extractor destroyAllWindows str len exit waitKey getRotationMatrix2D imshow normalization_data_0255 use_nir imread gamma_correction range warpAffine format concatenate lower normalization_data_01 dataset_dir listdir join uint8 print sort train_dataset fliplr makedirs print_info test_dataset split_pair_names print_error train_list test_list exit dataset_dir zeros_like COLOR_BGR2GRAY concatenate convert expand_dims shape enumerate resize append imread array target_regression cvtColor open batch_size_train choice batch_size_val use_nir choice append len range open join shape resize append imread listdir array restore_rgb weighted_cross_entropy_with_logits float32 reduce_sum reduce_mean cast print join max glob float32 print min max range print min float32 max range print format get_local_time colored print format get_local_time colored print format get_local_time colored join model_state any print_info format print_error shape normalization_data_0255 zeros_like print_error convert expand_dims array range print float32 append range array image_normalization print imwrite bitwise_not where resize image_normalization squeeze logical_and append range astype mean zip join uint8 tensor_to_image sigmoid numpy array makedirs transpose | xavysp/DexiNed | 4,128 |
xbfu/Spatiotemporal-Attention-Networks | ['time series'] | ['Spatiotemporal Attention Networks for Wind Power Forecasting'] | main.py EncoderDecoder.py model.py module.py Encoder2 Decoder Encoder EncoderLayer generator prepare_data DealDateset Model MultiHeadAttention Attn PositionalWiseFeedForward ScaledDotProductAttention append reshape array range generator read_csv | xbfu/Spatiotemporal-Attention-Networks | 4,129 |
xbresson/pcut | ['graph partitioning'] | ['The Product Cut'] | check_install.py | xbresson/pcut | 4,130 |
xck36/GMIS | ['instance segmentation', 'semantic segmentation'] | ['Affinity Derivation and Graph Merge for Instance Segmentation'] | utilities/get_default_palette.py affinity_seg.py demo.py utilities/show_mask.py utilities/find_connect_area.py resnet_v1_base.py utilities/merge.py semantic_seg.py gen_evaluation_file.py _pad_image prob_for_one_image affinity_seg predict join_all_processes merge_inf_output get_split_mask_label average_affinity_prob_array class_probability_array get_overlapped_region parse_args get_new_axis merge_before_post_process parse_inf_output process_probability_array start_network_inf_processes get_inference_result inference_by_request main postprocess_prob preprocess_image check_dir_and_create generate_split_mask_list get_semantic_wait get_affinity_wait post_processing split_inf_input start_post_processing_processes network_inference gen_evaluation_file get_mode resnet_head get_resnet_conv2d_params resnet_score_layer conv2d_same aspp_layer get_resnet_batch_norm_params resnet_block_middle_unit resnet_block_first_unit resnet_block_last_unit resnet_block _pad_image semantic_seg prob_for_one_image predict find_connect_area get_default_palette merge_semantic_4by4 merge_2by2 merge_4by4 merge_semantic_2by2 draw_legend get_legends combine get_palette get_mask_colors slice shape resize_bilinear affinity_seg pad set_shape maximum slice _pad_image sigmoid shape predict add_argument ArgumentParser float astype argmax min max get_overlapped_region range enumerate len sum get_split_mask_label get_overlapped_region zeros argmax range enumerate len argmax astype copy append zeros sum max range merge_semantic_2by2 astype float32 merge_semantic_4by4 resize average_affinity_prob_array class_probability_array get str Graph close put save run tmp_dir load remove isinstance append astype range concatenate range len get put merge_inf_output concatenate get_inference_result append split_inf_input squeeze mean stack inference_by_request expand_dims flip squeeze mean stack inference_by_request expand_dims flip get_default_palette show_mask_on_image post_processing_exec where save num_split_masks resize max class_name_list scale_to_size open fromarray tmp_dir str get_split_mask_label gen_evaluation_file use_aff_flip get_nowait putpalette append fromfile get_new_axis range merge_before_post_process filterwarnings replace concatenate zoom process_probability_array astype copy postprocess_prob preprocess_image empty float enumerate minimum time generate_split_mask_list remove get_semantic_wait reshape min system maximum get_affinity_wait repeat combine out_dir zeros use_sem_flip array len append Process range start join str Process replace fresh_run print Value range put start Queue demo_data_dir out_dir append walk tmp_dir exists makedirs join print makedirs join_all_processes time format inference_process_num print evaluation_result_out_dir put Queue out_dir append parse_args post_processing_process_num check_dir_and_create range tmp_dir histogram append argmax max range str array copy unique conv2d pad max_pool2d conv2d_same conv2d semantic_seg set_shape softmax zeros astype range zoom zeros zeros merge_2by2 zeros zeros range getpalette append reshape array unique append truetype Draw text truetype Draw rectangle fromarray uint8 draw_legend new convert astype alpha_composite where get_palette get_legends get_mask_colors array equal putalpha open | xck36/GMIS | 4,131 |
xf1994/good_practices_for_person_reID | ['person re identification'] | ['Towards Good Practices on Building Effective CNN Baseline Model for Person Re-identification'] | prepare.py train.py test.py resnext.py evaluate_rerank.py re_ranking.py random_erasing.py evaluate.py model.py compute_mAP evaluate compute_mAP evaluate RandomErasing k_reciprocal_neigh re_ranking load_network get_id extract_feature fliplr train_model save_network draw_curve setdiff1d compute_mAP dot argsort intersect1d argwhere append flatten argwhere in1d zero_ range len zeros_like around max list exp transpose append sum range concatenate astype mean unique minimum int float32 argpartition k_reciprocal_neigh zeros len load join which_epoch load_state_dict index_select long norm use_dense FloatTensor print Variable size model div cuda zero_ expand_as cpu fliplr range cat append int data draw_curve model zero_grad max cuda load_state_dict append range state_dict format save_network time criterion backward print Variable train step join plot savefig legend append join save is_available cuda state_dict | xf1994/good_practices_for_person_reID | 4,132 |
xfold/LanguageBiasesInReddit | ['word embeddings'] | ['Discovering and Categorising Language Biases in Reddit'] | DADDBias_ICWSM.py Run.py Cluster GetTopMostBiasedWords TrainModel time format print trainWEModel loadCSVAndPreprocess load str sorted print getCosineDistance append enumerate int print createPartition range len | xfold/LanguageBiasesInReddit | 4,133 |
xgfs/verse | ['link prediction'] | ['VERSE: Versatile Graph Embeddings from Similarity Measures'] | python/embedding.py python/convert.py python/wrapper.py list2mat is_numbers_only xgfs2file main process mat2csr Embedding VERSE tocsr pack size write info list map list sorted defaultdict zip map set dict is_numbers_only info zeros range len list2mat mat2csr basicConfig process info | xgfs/verse | 4,134 |
xgu1/DTM | ['anomaly detection'] | ['Statistical Analysis of Nearest Neighbor Methods for Anomaly Detection'] | Benchmark_Failure.py BenchMark.py DTM.py ODDS.py process DTM df_convert rank_func RandomState BaggingRegressor min astype average_precision_score uniform roc_auc_score zeros array predict len argsort range copy load DataFrame rename | xgu1/DTM | 4,135 |
xhp-hust-2018-2011/SS-DCNet | ['object counting'] | ['From Open Set to Closed Set: Supervised Spatial Divide-and-Conquer for Object Counting'] | Val.py load_data_V2.py IOtools.py all_main.py Network/SSDCNet.py Network/class_func.py main_process.py Network/base_Network_module.py Network/merge_func.py get_config_str txt_write Countmap_Dataset get_pad main test_phase up_res upcat up one_conv double_conv resconv2 compute_rf three_conv change_padding Class2Count Count2Class get_local_count count_merge_low2high_batch VGG16_frontend make_layers Gauss_initialize_weights SSDCNet_classify list keys pad load join arange concatenate print Countmap_Dataset size DataLoader cuda load_state_dict Tensor test_phase array exists len dict sqrt len modules isinstance Conv2d modules isinstance ones cpu float32 conv2d is_available type ndarray isinstance LongTensor cpu float32 from_numpy is_available type cuda range len ndarray isinstance FloatTensor cpu LongTensor squeeze size reshape from_numpy index_select is_available tensor type cuda append enumerate int cpu size avg_pool2d is_available zeros float range isinstance Conv2d bias normal_ modules BatchNorm2d weight constant_ Conv2d | xhp-hust-2018-2011/SS-DCNet | 4,136 |
xhzdeng/stela | ['scene text detection'] | ['STELA: A Real-Time Scene Text Detector with Learned Anchor'] | datasets/voc_dataset.py models/stela.py utils/utils.py utils/nms/setup.py utils/bbox.py utils/detect.py utils/timer.py train.py utils/nms_wrapper.py eval/icdar13/rrc_evaluation_funcs.py eval/icdar15/script.py models/anchors.py models/heads.py eval/icdar15/rrc_evaluation_funcs.py utils/overlaps/setup.py datasets/collater.py eval/icdar13/script.py demo.py models/losses.py eval.py models/fpn.py utils/box_coder.py demo do_eval make_zip evaluate train_model Collater VOCDataset validate_point_inside_bounds load_zip_file_keys validate_clockwise_points validate_lines_in_file decode_utf8 print_help main_validation get_tl_line_values load_zip_file get_tl_line_values_from_file_contents validate_tl_line main_evaluation evaluation_imports evaluate_method default_evaluation_params validate_data validate_point_inside_bounds load_zip_file_keys validate_clockwise_points validate_lines_in_file decode_utf8 print_help main_validation get_tl_line_values load_zip_file get_tl_line_values_from_file_contents validate_tl_line main_evaluation evaluation_imports evaluate_method default_evaluation_params validate_data generate_anchors shift Anchors LastLevelMaxPool FPN LastLevelP6P7 REGHead CLSHead FocalLoss smooth_l1_loss balanced_l1_loss RegressLoss STELA rbox_overlaps clip_boxes quad_2_rbox rbox_2_aabb quad_2_aabb rbox_2_quad min_area_square bbox_overlaps BoxCoder single_scale_detect im_detect nms Timer Normailize is_image Reshape sort_corners rescale draw_caption Rescale resize COLOR_BGR2RGB waitKey IMREAD_COLOR imshow load_state_dict imread range im_detect format ims_dir eval draw_caption enumerate load join drawContours STELA weights rectangle array cvtColor len join write close ZipFile walk eval_dir move make_zip dataset exists str test_dir COLOR_BGR2RGB IMREAD_COLOR tic imread im_detect format replace enumerate toc join int print makedirs system rmtree cvtColor len load evaluate weights eval load_state_dict is_available cuda STELA bool batch_size model clip_grad_norm_ zero_grad pretrained DataLoader floor save VOCDataset cuda exists max_iter StepLR len training_size Adam __contains__ tic load_state_dict ceil module range state_dict format mean eval mkdir item is_available float enumerate load int toc Collater evaluate backward print parameters freeze_bn train step array STELA write exit group match namelist append ZipFile group match namelist append ZipFile decode BOM_UTF8 replace startswith encode validate_tl_line decode_utf8 replace split get_tl_line_values validate_point_inside_bounds int replace validate_clockwise_points group match float replace argsort append get_tl_line_values split update default_evaluation_params_fn validate_data_fn writestr items write dumps close dict print_help evaluate_method_fn ZipFile makedirs update default_evaluation_params_fn validate_data_fn print exit dict load_zip_file validate_lines_in_file area xmin ymax one_to_one_match many_to_one_match decode_utf8 append range xmax import_module load_zip_file empty get_tl_line_values_from_file_contents float items ymin namedtuple int8 one_to_many_match Rectangle zeros center_distance len compute_ap polygon_from_points get_intersection_over_union rectangle_to_polygon get_intersection T sqrt repeat zeros len meshgrid reshape transpose arange abs where log abs e where unsqueeze clamp min max rotatedRectangleIntersection minimum contourArea zeros range reshape astype minAreaRect int32 zeros array enumerate zeros reshape enumerate zeros min max quad_2_aabb rbox_2_quad max shape clamp nms isinstance astype single_scale_detect float32 vstack enumerate reshape numpy concatenate is_tensor numpy minimum arccos reshape maximum pi mean sqrt shape zeros range enumerate putText FONT_HERSHEY_PLAIN astype int min shape floor array resize float max | xhzdeng/stela | 4,137 |
xiahaifeng1995/FAVAE-anomaly-detection-localization-master | ['anomaly detection'] | ['Anomaly localization by modeling perceptual features'] | train.py datasets/preprocessing.py models/VAE.py datasets/mvtec.py test.py models/__init__.py utils.py func.py rescale feature_extractor EarlyStop denormalization main test plot_fig save_snapshot main train val time_file_str time_string AverageMeter convert_secs2time print_log MVTecDataset random_crop bg_mask read_img patch2img random_rotate rotate_image get_patch set_img_color augment_images generate_image_list DeFlatten Adapter_model VAE Split items list module uint8 astype checkpoint_dir obj flatten data_type DataLoader ArgumentParser save_dir max roc_auc_score seed precision_recall_curve savefig load_state_dict legend parse_args to plot_fig format asarray plot MVTecDataset test load join print add_argument min divide roc_curve data_path parameters makedirs extend MSELoss tqdm eval numpy range gaussian_filter subplots denormalization obj set_text set_visible tick_params max squeeze colorbar imshow savefig range set_label format disk close add_axes Normalize join opening mark_boundaries min subplots_adjust len time_file_str time_string validation_ratio convert_secs2time print_log open len Adam prefix iter next range manual_seed_all val update close avg manual_seed save_snapshot int train_data_path random_split EarlyStop time aug_dir AverageMeter augment_images randint train epochs early_stop generate_image_list decode model zero_grad print_log features exp MSELoss MSE_loss to sum range update format size eval avg item kld_weight backward AverageMeter tqdm feature_extractor step len format AverageMeter tqdm MSELoss print_log eval avg to eval localtime format strftime int localtime format strftime print format write flush imread randint warpAffine int tan cos pi getRotationMatrix2D sin float round uniform int augment_num shuffle floor train_data_dir listdir len grayscale random_crop join format imwrite read_img rfind print rotate_angle_vari random_rotate copy crop_size p_rotate_crop resize flip range append zeros repeat addWeighted COLOR_GRAY2BGR cvtColor threshold COLOR_BGR2GRAY ones FillHole shape cvtColor | xiahaifeng1995/FAVAE-anomaly-detection-localization-master | 4,138 |
xialuxi/arcface-caffe | ['face alignment', 'data augmentation'] | ['Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural Networks'] | mxnet_to_caffe/merge_bn.py landmark_and_pose/new_model/detect.py mxnet_to_caffe/test.py mxnet_to_caffe/mxnet_caffe.py landmark_and_pose/testlandmark.py face_detection/mtcnn.py landmark_and_pose/heatmap_landmark/test.py GetResult_net12 GenerateBBox GetResult_net48 BBoxPad CalScale GetResult_net24 DetImage BBoxRegression BBoxPadSquare NMS Align_sphereface Align_seqface showresult get_result get_net get_heatmap get_net get_landmark_net get_pose_landmarks get_caffe_net get_feature cos caffe_get_feature get_model warpAffine deepcopy T I matrix deepcopy int warpAffine fabs resize min cos rad2deg getRotationMatrix2D sin float atan max append min round max min round max min sorted zeros_like min append max enumerate append shape range int deepcopy GenerateBBox reshape transpose CalScale extend copy shape BBoxRegression INTER_CUBIC NMS resize ceil zeros BBoxPadSquare forward int deepcopy reshape transpose copy BBoxRegression floor NMS resize append zeros BBoxPadSquare forward array range len int deepcopy BBoxPad reshape transpose copy BBoxRegression floor NMS resize append zeros forward array range len GetResult_net12 GetResult_net48 waitKey GetResult_net24 imshow rectangle append range circle enumerate set_mode_gpu Net set_device TEST deepcopy int transpose pi resize append zeros forward range circle argmax deepcopy print reshape transpose round resize append zeros forward array range set_mode_gpu Net TEST transpose resize append forward array range set_params Module bind load_checkpoint get_internals gpu norm COLOR_BGR2RGB transpose DataBatch NORM_L2 expand_dims forward array cvtColor Net TEST deepcopy norm COLOR_BGR2RGB transpose NORM_L2 zeros forward array cvtColor range len | xialuxi/arcface-caffe | 4,139 |
xianggebenben/dlADMM | ['stochastic optimization'] | ['ADMM for Efficient Deep Learning with Global Convergence'] | MLP/pytorch_version/setup.py MLP/pytorch_version/dlADMM/input_data.py GCN/pytorch_version/main.py MLP/pytorch_version/build/lib/dlADMM/input_data.py MLP/tensorflow_version/build/lib/dlADMM/common.py GCN/pytorch_version/dlADMM/common.py GCN/pytorch_version/build/lib/dlADMM/common.py MLP/pytorch_version/build/lib/dlADMM/common.py MLP/tensorflow_version/setup.py MLP/tensorflow_version/build/lib/dlADMM/input_data.py GCN/pytorch_version/build/lib/dlADMM/input_data.py MLP/tensorflow_version/dlADMM/common.py GCN/pytorch_version/dlADMM/input_data.py MLP/pytorch_version/main.py MLP/tensorflow_version/dlADMM/input_data.py GCN/pytorch_version/setup.py MLP/tensorflow_version/main.py MLP/pytorch_version/dlADMM/common.py u_z1 update_z2 gcn_norm sparse_mask phi_wl update_y2 phi_z2 gcn forwardprop update_z1 update_w2 u_w2 test phi_z1 u_wl update_w1 phi_w2 cross_entropy_with_softmax azw objective cora coauthor_cs split_dataset pubmed onehot citeseer coauthor_physics u_z1 update_z2 gcn_norm sparse_mask phi_wl update_y2 phi_z2 gcn forwardprop update_z1 update_w2 u_w2 test phi_z1 u_wl update_w1 phi_w2 cross_entropy_with_softmax azw objective cora coauthor_cs split_dataset pubmed onehot citeseer coauthor_physics Net objective test_accuracy eq1_b P update_zl update_b z_obj update_W update_z cross_entropy relu eq1_a a_obj_gradient update_a softmax cross_entropy_with_softmax eq1 Q eq1_W a_obj eq1_z mnist fashion_mnist eq1_b P update_zl update_b z_obj update_W update_z cross_entropy relu eq1_a a_obj_gradient update_a softmax cross_entropy_with_softmax eq1 Q eq1_W a_obj eq1_z mnist fashion_mnist Net objective test_accuracy eq1_b P update_zl update_b z_obj update_W update_z cross_entropy relu eq1_a a_obj_gradient update_a softmax cross_entropy_with_softmax eq1 Q eq1_W a_obj eq1_z DataSubset mnist fashion_mnist eq1_b P update_zl update_b z_obj update_W update_z cross_entropy relu eq1_a a_obj_gradient update_a softmax cross_entropy_with_softmax eq1 Q eq1_W a_obj eq1_z DataSubset mnist fashion_mnist sum mul pow_ fill_diag isinstance view ones fill_value masked_fill_ maybe_num_nodes add_remaining_self_loops max scatter_add SparseTensor relu glorot manual_seed to azw isinstance size coo matmul stack spmm azw relu log_softmax nll_loss eq item float argmax forwardprop norm relu azw cross_entropy_with_softmax einsum azw phi_z1 azw clone relu softmax sqrt phi_z2 range azw cross_entropy_with_softmax detach azw relu einsum phi_wl azw Variable phi_w2 azw get list map set linspace unique tensor numpy array num_classes view fill_ manual_seed range normal ones_like relu matmul where eq manual_seed argmax cross_entropy_with_softmax matmul relu transpose matmul trace sum where eq tensor cross_entropy exp where eq tensor float sum matmul transpose matmul transpose matmul mean reshape matmul matmul eq1_W sum eq1 sum a_obj a_obj_gradient sum eq1 relu eq1_a relu eq1_W eq1_b matmul relu minimum z_obj maximum matmul greater where tensor matmul range sqrt softmax sum cross_entropy_with_softmax a_obj_gradient set_seed Variable equal reduce_sum equal equal reduce_sum reduce_mean reduce_sum reduce_sum reduce_sum reduce_sum | xianggebenben/dlADMM | 4,140 |
xiangjieSui/Omnidirectional-Images-as-Moving-Camera-Videos | ['video quality assessment'] | ['Perceptual Quality Assessment of Omnidirectional Images as Moving Camera Videos'] | img2video-pytorch/iqa_metrics/SSIM.py img2video-pytorch/iqa_metrics/VIF.py img2video-pytorch/iqa_metrics/DISTS.py img2video-pytorch/viewportSampling.py img2video-pytorch/iqa_metrics/NLPD.py img2video-pytorch/main.py img2video-pytorch/iqa_metrics/SteerPyrComplex.py img2video-pytorch/iqa_metrics/SteerPyrUtils.py img2video-pytorch/im2video.py img2video-pytorch/iqa_metrics/utils.py img2video-pytorch/iqa_metrics/SteerPyrSpace.py im2vid movement_pattern Temporal_Hysteresis scanpath_default downSample parse_args deg2rad viewportSampling bicubic_interpolation L2pooling DISTS NLPD ssim SSIM gaussian_filter SteerablePyramid corrDn SteerablePyramidSpace S L_matrix_cropped G central_crop LB_matrix S_matrix sp5_filters freq_shift L HL0_matrix G_matrix L0 H H0 B_matrix L_matrix cropped_size polar_map fspecial_gauss prepare_image print_network roll_n spatial_normalize batch_ifftshift2d batch_fftshift2d downsample deprocess_lab rgb_to_lab real preprocess_lab extract_patches_2d abs imag lab_to_rgb VIF Temporal_Hysteresis model print float64 deg2rad type sampling item zeros to viewportSampling range int reshape min average zeros getGaussianKernel sum max range hstack zeros hstack vstack shape int min max_pool2d round max range add_argument ArgumentParser int conv2d relu mean pow device to log gaussian_filter pad conv2d to device corrDn int T sp5_filters sqrt floor append range sqrt pi factorial abs pi mul pi expand atan2 sqrt linspace narrow S Tensor range polar_map Tensor range G polar_map unsqueeze G_matrix polar_map polar_map B_matrix unsqueeze polar_map view cropped_size L_matrix to range T array tuple roll_n unbind size range len roll_n unbind size range len unbind mul reshape to mm mul reshape to mm unsqueeze exp int min shape conv2d device to round max padding_H reshape size ConstantPad2d padding_W unfold permute cat resize print parameters | xiangjieSui/Omnidirectional-Images-as-Moving-Camera-Videos | 4,141 |
xiangjieSui/img2video | ['video quality assessment'] | ['Perceptual Quality Assessment of Omnidirectional Images as Moving Camera Videos'] | img2video-pytorch/iqa_metrics/SSIM.py img2video-pytorch/iqa_metrics/VIF.py img2video-pytorch/iqa_metrics/DISTS.py img2video-pytorch/viewportSampling.py img2video-pytorch/iqa_metrics/NLPD.py img2video-pytorch/main.py img2video-pytorch/iqa_metrics/SteerPyrComplex.py img2video-pytorch/iqa_metrics/SteerPyrUtils.py img2video-pytorch/im2video.py img2video-pytorch/iqa_metrics/utils.py img2video-pytorch/iqa_metrics/SteerPyrSpace.py im2vid movement_pattern Temporal_Hysteresis scanpath_default downSample parse_args deg2rad viewportSampling bicubic_interpolation L2pooling DISTS NLPD ssim SSIM gaussian_filter SteerablePyramid corrDn SteerablePyramidSpace S L_matrix_cropped G central_crop LB_matrix S_matrix sp5_filters freq_shift L HL0_matrix G_matrix L0 H H0 B_matrix L_matrix cropped_size polar_map fspecial_gauss prepare_image print_network roll_n spatial_normalize batch_ifftshift2d batch_fftshift2d downsample deprocess_lab rgb_to_lab real preprocess_lab extract_patches_2d abs imag lab_to_rgb VIF Temporal_Hysteresis model print float64 deg2rad type sampling item zeros to viewportSampling range int reshape min average zeros getGaussianKernel sum max range hstack zeros hstack vstack shape int min max_pool2d round max range add_argument ArgumentParser int conv2d relu mean pow device to log gaussian_filter pad conv2d to device corrDn int T sp5_filters sqrt floor append range sqrt pi factorial abs pi mul pi expand atan2 sqrt linspace narrow S Tensor range polar_map Tensor range G polar_map unsqueeze G_matrix polar_map polar_map B_matrix unsqueeze polar_map view cropped_size L_matrix to range T array tuple roll_n unbind size range len roll_n unbind size range len unbind mul reshape to mm mul reshape to mm unsqueeze exp int min shape conv2d device to round max padding_H reshape size ConstantPad2d padding_W unfold permute cat resize print parameters | xiangjieSui/img2video | 4,142 |
xiaosen-wang/SEM | ['adversarial defense', 'adversarial attack'] | ['Natural Language Adversarial Defense through Synonym Encoding'] | text_birnn.py encode_utils.py text_cnn.py train_enc.py imporved_genetic.py glove_utils.py text_rnn.py train_orig.py build_embeddings.py data_helpers.py attack_utils.py get_show_diff save_adv_samples_1 calculate_clf_score_batch_multiclass softmax calculate_clf_score save_adv_samples load_data_and_labels batch_iter clean_str get_dist synonyms_encode_v1 helper_name text_encode build_dict read_adv_text read_text compute_dist_matrix clean_str synonyms_test find_synonyms adv_text_encode create_small_embedding_matrix pick_most_similar_words_old create_embeddings_matrix save_glove_to_pickle load_glove_from_pickle pick_most_similar_words loadGloveModel JudgeAdv Generate_seed_population FindBestReplace attacksingle read_text FitnessFunction CalculateTheDifferenceRatio FindTheDifferenceWord FindSynonyms select_high_fitness attack_main clean_str replaceword sample Variation Crossover pick_most_similar_words TextBiRNN TextCNN TextRNN main preprocess train main preprocess train calculate_clf_score_batch_multiclass print join range list pad_sequences softmax run split append array range len exp reshape shape sum max sub list readlines concatenate permutation arange min array range len load T reshape create_embeddings_matrix dot save loadGloveModel print sorted startswith len items fit_on_texts read_text dict Tokenizer print find_synonyms append pick_most_similar_words_old get_dist float find_synonyms texts_to_sequences read_text split append range len zip print join texts_to_sequences read_adv_text print split array open items list print append zeros len ones_like where ones_like sum where ones_like print where pad zeros range len range split range info split join split append pick_most_similar_words index calculate_clf_score replaceword append float max range len FindBestReplace extend calculate_clf_score range FindSynonyms split print calculate_clf_score CalculateTheDifferenceRatio calculate_clf_score index FitnessFunction append float max range join copy split randint range len join FindBestReplace extend FindSynonyms split append randint range len JudgeAdv Generate_seed_population select_high_fitness calculate_clf_score info Variation Crossover clock range seed array shuffle data str info zip print get_show_diff read_text calculate_clf_score split sample attacksingle enumerate save_adv_samples len data load max text_encode pad_sequences array data train preprocess print print len extend nn_type adv adv_text_encode | xiaosen-wang/SEM | 4,143 |
xiaoyu258/DocProj | ['optical character recognition'] | ['Document Rectification and Illumination Correction using a Patch-based CNN'] | train.py resampling.py logger.py train_illumination.py train_loader_illumination.py local_patch.py eval.py train_loader.py global_patch.py vgg.py model_illNet.py eval_illumination.py modelGeoNet.py resizeImg testRealFlow padImg cropToPatch illCorrection postProcess preProcess padCropImg composePatch moveTest createDir generate moveTest createDir generate Logger plainEncoderBlock plainDecoderBlock GeoNet resEncoderBlock resDecoderBlock EPELoss UpsampleBLock illNet ResidualBlock iterSearchShader rectification iterSearchGrey biInterpolation iterSearch get_loader DistortionDataset get_loader DistortionDataset VGG19 float imread int resize int BORDER_REPLICATE copyMakeBorder int range zeros resize load items list transform view model Variable Compose OrderedDict GeoNet DataParallel eval load_state_dict is_available zeros cuda range mean_bilateral disk int BORDER_REPLICATE copyMakeBorder zeros range model DataParallel cuda list view OrderedDict load_state_dict illNet range Compose astype eval is_available load items uint8 Variable float32 transform zeros int uint8 range zeros fromarray enhance Contrast makedirs sort listdir move int createDir print pad resize imread range imsave load mean save array int range int iterSearchShader grid biInterpolation gridsize range iterSearchShader grid biInterpolation gridsize range copy_to_host ceil to_device fill zeros array DataLoader Compose DistortionDataset | xiaoyu258/DocProj | 4,144 |
xieyufei1993/FOTS | ['scene text detection', 'text spotting', 'scene text recognition'] | ['FOTS: Fast Oriented Text Spotting with a Unified Network'] | models/FOTS.py lanms/__init__.py lanms/__main__.py locality_aware_nms.py utils/bbox.py utils/util.py utils/lanms/.ipynb_checkpoints/__main__-checkpoint.py models/vgg16.py loss.py lanms/.ycm_extra_conf.py models/__init__.py utils/lanms/.ycm_extra_conf.py utils/lanms/__main__.py main_train.py utils/log.py lanms/.ipynb_checkpoints/__main__-checkpoint.py data/dataset.py utils/visualize.py eval.py utils/lanms/__init__.py config.py parse DefaultConfig main load_model standard_nms weighted_merge nms_locality intersection reduce_max torch_arctanh l2_dist reduce_sum l2r_dist l1_dist l2_norm rescale dice_coefficient l1_norm reduce_min tanh_rescale LossFunc main train get_images load_annoataion line_verticle shrink_poly crop_area polygon_area point_dist_to_line ImageDataSet fit_line restore_rectangle_rbox line_cross_point image_label generate_rbox check_and_validate_polys collate_fn sort_rectangle restore_rectangle rectangle_from_parallelogram GetCompilationInfoForFile IsHeaderFile MakeRelativePathsInFlagsAbsolute FlagsForFile DirectoryOfThisScript merge_quadrangle_n9 Recognizer FOTS SharedConv HLayer DummyLayer VGG16 Toolbox Logger ensure_dir Visualizer GetCompilationInfoForFile IsHeaderFile MakeRelativePathsInFlagsAbsolute FlagsForFile DirectoryOfThisScript merge_quadrangle_n9 items list print warn setattr load format FOTS load_state_dict info cuda load_model model output_dir input_dir listdir reshape area Polygon append array append weighted_merge list reversed sum dim range list dim range reversed list dim range reversed reduce_sum abs reduce_sum sum time format epoch_num state_dict model print Variable backward zero_grad crit mkdir save step cuda range enumerate len load use_gpu parse StepLR print ImageDataSet load_model_path Adam parameters DataLoader train cuda exists LossFunc join format glob extend append range len polygon_area print zip append clip min astype choice shape int32 zeros range max clip arctan2 polyfit print norm arccos line_verticle fit_line dot line_cross_point sum arctan print argmin argmax concatenate reshape transpose zeros array norm point_dist_to_line ones fillPoly min argmin fit_line sort_rectangle line_cross_point argwhere zip append zeros sum array range rectangle_from_parallelogram enumerate join load_annoataion crop_area ones float astype float32 copy choice shape generate_rbox check_and_validate_polys resize zeros imread max exists list from_numpy stack permute zip append range len append join startswith IsHeaderFile compiler_flags_ exists compiler_flags_ GetCompilationInfoForFile compiler_working_dir_ MakeRelativePathsInFlagsAbsolute DirectoryOfThisScript nms_impl array copy load_url load_state_dict vgg16 makedirs | xieyufei1993/FOTS | 4,145 |
xinario/SAGAN | ['denoising'] | ['Sharpness-aware Low dose CT denoising using conditional generative adversarial network'] | util.py post_process.py pre_process.py post_process get_window_size mkdir_p transfer2window mkdir_p pre_process HTML makedirs get_window_size astype float32 uint8 imwrite uint16 window add_images save transfer2window HTML list web_dir transpose append range get format astype close add_header keys join items print File tqdm split array len int join format imwrite uint16 glob print transpose astype copy index tqdm SliceLocation dcmread append array len | xinario/SAGAN | 4,146 |
xingjunm/lid_adversarial_subspace_detection | ['adversarial defense'] | ['Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality'] | cw_attacks.py train_model.py util.py extract_characteristics.py attacks.py detect_adv_examples.py craft_adv_examples.py basic_iterative_method saliency_map_method jsma fast_gradient_sign_method fgsm main craft_one_type CarliniLID CarliniL2 load_characteristics detect get_kmeans get_bu get_lid main merge_and_generate_labels get_kd main train kmean_pca_batch train_lr get_data train_lr_rfeinman compute_roc_rfeinman get_mc_predictions get_layer_wise_activations kmean_batch get_noisy_samples normalize get_kmeans_random_batch cross_entropy compute_roc lid_term score_point get_deep_representations lid_adv_term mle_single flip get_lids_random_batch random_split block_split mle_batch get_model score_samples to_float softmax_cross_entropy_with_logits gradients reduce_max inputs reduce_sum sign reduce_mean clip_by_value stop_gradient equal format product print reshape jacobian copy set model_argmax shape saliency_map apply_perturbations floor float model batch_eval float32 placeholder fgsm minimum list defaultdict model print predict_classes f batch_eval float32 placeholder set maximum add tqdm fgsm zeros range int list zeros_like model len jsma float32 placeholder choice tqdm other_classes argmax range jacobian_graph join asarray basic_iterative_method evaluate print saliency_map_method fast_gradient_sign_method mean attack CarliniL2 save CarliniLID join get_model set_session load_model evaluate print batch_size craft_one_type close warn get_data load_weights attack dataset Session compile load join concatenate test_attack print load_characteristics block_split fit train_lr recall_score shape precision_score attack accuracy_score transform dataset compute_roc predict split asarray concatenate print reshape shape concatenate print predict_classes get_deep_representations warn shape merge_and_generate_labels range score_samples fit concatenate print mean shape merge_and_generate_labels get_lids_random_batch concatenate print shape merge_and_generate_labels concatenate print shape merge_and_generate_labels get_kmeans_random_batch save get_lid get_kmeans k_nearest predict_classes shape get_noisy_samples get_kd concatenate mean get_bu zip load isfile len print fit_generator get_data flow save ImageDataGenerator get_model compile train epochs join print reshape transpose to_categorical astype call shape load_data loadmat Sequential Activation add reshape transpose multiply square matmul reduce_sum sqrt top_k log l2_normalize reshape transpose multiply square matmul reduce_sum sqrt top_k log shape reshape copy choice minimum normal zeros_like maximum warn flip range len list value function tqdm append range predict int value function ceil zeros float range extend asarray cdist reshape min apply_along_axis len asarray cdist min apply_along_axis len asarray cdist min apply_along_axis len asarray arange kmean_batch concatenate zeros fit_transform int list asarray print extend tqdm estimate ceil float range len int list asarray print extend tqdm estimate ceil float range len join asarray close map Pool concatenate scale len fit transpose fit concatenate show plot xlabel roc_curve ylabel title figure legend roc_auc_score show plot concatenate xlabel roc_curve ylabel title figure legend auc print int permutation print int concatenate | xingjunm/lid_adversarial_subspace_detection | 4,147 |
xingyul/Sparse-Winograd-CNN | ['network pruning'] | ['Efficient Sparse-Winograd Convolutional Neural Networks'] | winograd2x2_cublas/winograd2x2_conv/winograd2x2_conv_grad_test.py ResNet-18-var/prune_script.py ResNet-18-var/winograd_imtrans.py winograd2x2_cublas/winograd2x2_conv/winograd2x2_conv.py winograd2x2_cublas/winograd2x2_conv/winograd2x2_conv_test.py winograd2x2_cublas/winograd2x2_imTrans/winograd2x2_imTrans_test.py winograd2x2_cublas/winograd2x2_imTrans/winograd2x2_imTrans.py ResNet-18-var/view_model.py ResNet-18-var/winograd_conv.py winograd2x2_cublas/winograd2x2_imTrans/winograd2x2_imTrans_grad_test.py ResNet-18-var/imagenet-resnet-transWino-prune.py get_data get_config Model eval_on_ILSVRC12 gen_prune_mask gen_prune_mask WinogradConv WinogradImTrans _my_matmul_grad winograd2x2_conv_grad _my_winograd2x2_shape winograd2x2_conv winograd_conv image_transform kernel_transform_num winograd_conv image_transform kernel_transform_num winograd_conv image_transform kernel_transform_num winograd_conv image_transform kernel_transform_num data PrefetchDataZMQ min cpu_count AugmentImageComponent ILSVRC12 BatchData get_data FakeData format print PredictConfig get_data feed ratio sum get_result SimpleDatasetPredictor reshape flatten argsort shape copyto abs variance_scaling_initializer constant get_variable with_rank winograd2x2_conv_grad shape transpose stack reshape get_shape value extract_image_patches reshape concat strided_slice nl get_shape value slice reshape concat transpose strided_slice matmul crop_to_bounding_box | xingyul/Sparse-Winograd-CNN | 4,148 |
xinjli/allosaurus | ['speech recognition'] | ['Universal Phone Recognition with a Multilingual Allophone System'] | allosaurus/pm/preprocess.py allosaurus/lm/inventory.py test/test_recognition.py allosaurus/bin/restore_phone.py allosaurus/pm/mfcc.py allosaurus/lm/factory.py allosaurus/bin/list_lang.py allosaurus/am/reporter.py allosaurus/bin/adapt_model.py allosaurus/bin/download_model.py test/test_model.py allosaurus/bin/prep_token.py allosaurus/am/utils.py allosaurus/am/optimizer.py allosaurus/pm/kdict.py allosaurus/lm/articulatory.py allosaurus/am/loader.py allosaurus/am/factory.py allosaurus/bin/prep_feat.py allosaurus/pm/utils.py allosaurus/am/criterion.py allosaurus/bin/update_phone.py allosaurus/lm/mask.py allosaurus/am/dataset.py allosaurus/am/allosaurus_torch.py allosaurus/pm/feature.py allosaurus/am/trainer.py allosaurus/bin/list_phone.py allosaurus/bin/list_model.py allosaurus/run.py allosaurus/audio.py allosaurus/pm/factory.py allosaurus/lm/decoder.py allosaurus/app.py setup.py allosaurus/bin/remove_model.py allosaurus/bin/write_phone.py allosaurus/lm/unit.py allosaurus/model.py Recognizer read_recognizer resample_audio Audio read_audio delete_model resolve_model_name copy_model get_model_path get_all_models AllosaurusTorchModel read_criterion CTCCriterion AllosaurusDataset read_am transfer_am read_loader AllosaurusLoader read_optimizer Reporter Trainer torch_load apply_to_tensor ndarray_to_tensor tensor_to_cuda move_to_tensor torch_save move_to_ndarray apply_to_ndarray download_model prepare_feature prepare_token Articulatory PhoneDecoder read_lm Inventory UnitMask read_prior write_unit read_unit Unit read_pm hz2mel logfbank delta get_filterbanks lifter mfcc fbank mel2hz read_matrix read_compressed_matrix read_string read_matrix_shape write_string smart_open write_matrix read_matrix_by_offset read_integer read_compressed_matrix_shape read_scp_offset write_integer KaldiWriter read_matrix_format MFCC do_preemphasis round_half_up do_dither round_up_power_of_two framesig powspec do_remove_dc_offset rolling_window magspec logpowspec deframesig feature_window feature_cmvn TestModel TestRecognition read_pm download_model parent isinstance Namespace model read_am resolve_model_name read_lm readframes str isinstance Audio len close getnframes set_header getnchannels samples frombuffer open resample sample_rate Audio samples sorted list parent glob resolve_model_name parent str get_model_path parent copytree str print rmtree eval get_model_path input get_all_models str torch_load Namespace device_id AllosaurusTorchModel lang str torch_load dump Namespace write_unit get_mask torch_save open get_model_path pretrained_model target_unit Inventory vars device_id AllosaurusTorchModel new_model len load str list items hasattr new OrderedDict target_unit load_state_dict startswith cuda len str hasattr save state_dict ndarray_to_tensor tensor_to_cuda cpu is_cuda str read BytesIO parent print extractall urlopen open read_pm compute parent readlines write close absolute tqdm split KaldiWriter read_audio open str join parent readlines write map close tqdm split Inventory get_unit get_ids open Namespace window_shift feature_window window_size PhoneDecoder open str log split int str Unit dict split open str write close id_to_unit open range len Namespace MFCC fbank lifter log int eps T round_up_power_of_two framesig powspec where dot get_filterbanks sum fbank hz2mel zeros range shape arange pi sin arange empty_like dot pad sum range len exists decode read ord dtype read reshape zeros frombuffer array dtype decode read_compressed_matrix read read_string read_integer unpack array decode read_string decode read_string seek SEEK_CUR read_integer pack strides hamming do_preemphasis arange cos pi shape range do_remove_dc_offset astype tile empty int T round_half_up float32 rolling_window zeros array len T round_half_up arange winfunc tile zeros array range rfft warn powspec log10 sum concatenate | xinjli/allosaurus | 4,149 |
xitorch/xitorch | ['physical simulations'] | ['$ξ$-torch: differentiable scientific computing library'] | xitorch/_utils/unique.py xitorch/_tests/test_editable_module.py xitorch/integrate/mcquad.py xitorch/_tests/test_jac.py xitorch/_utils/attr.py xitorch/_core/linop.py xitorch/_utils/exceptions.py xitorch/_impls/integrate/samples_quad.py xitorch/linalg/symeig.py xitorch/_tests/test_memleak.py xitorch/_tests/utils.py benchmarks/benchmarks_solve.py xitorch/linalg/__init__.py xitorch/_impls/optimize/root/_jacobian.py xitorch/_tests/test_linop.py xitorch/_impls/linalg/solve.py xitorch/grad/__init__.py xitorch/_impls/optimize/minimizer.py xitorch/_tests/test_debug.py doc/conf.py xitorch/_utils/tensor.py xitorch/_tests/test_optimize.py xitorch/_impls/interpolate/extrap_utils.py xitorch/linalg/solve.py xitorch/integrate/__init__.py xitorch/_tests/test_integrate.py xitorch/_tests/test_pure_function.py xitorch/interpolate/interp1.py xitorch/_utils/bcast.py xitorch/_tests/test_wrap_nnmodule.py xitorch/_core/editable_module.py xitorch/debug/__main__.py xitorch/_impls/integrate/ivp/explicit_rk.py xitorch/grad/jachess.py xitorch/_impls/integrate/mcsamples/mcmc.py xitorch/_core/pure_function.py xitorch/_tests/test_linop_fcns.py xitorch/_utils/misc.py xitorch/_impls/interpolate/interp_1d.py examples/02-molecular-dynamics/main.py xitorch/integrate/quad.py xitorch/integrate/solve_ivp.py xitorch/interpolate/__init__.py xitorch/_impls/integrate/fixed_quad.py xitorch/_impls/interpolate/base_interp.py xitorch/version.py xitorch/_impls/linalg/symeig.py xitorch/__init__.py xitorch/_tests/test_utils.py xitorch/_impls/integrate/ivp/adaptive_rk.py xitorch/_utils/decorators.py xitorch/_utils/tupleops.py xitorch/_tests/test_interp.py xitorch/_tests/test_packer.py xitorch/_docstr/api_docstr.py xitorch/debug/modes.py xitorch/optimize/rootfinder.py setup.py xitorch/_impls/optimize/root/rootsolver.py examples/01-mirror-design/main.py xitorch/optimize/__init__.py xitorch/_core/packer.py xitorch/integrate/squad.py xitorch/_utils/assertfuncs.py xitorch/_utils/types.py get_requirements _catch_convergence_warnings SymeigMatrixTimeSuite SolveMatrixTimeSuite format_api_display get_loss get_reflection generate_rays plot_rays screen_fcn get_intersection plot_surface get_normal SimpleNN dydt get_loss get_target_pos mainopt save_image get_initial_pos git_version get_version _get_git_version is_debug_enabled set_debug_mode disable_debug enable_debug DebugSingleton main parse_args SQuad Interp1D _put_tensors Packer _get_unique_idxs _extract_tensors leggauss CubicSplineSQuad get_trapz_weights get_simpson_weights BaseSQuad TrapzSQuad get_cspline_grad_weights WeightBasedSQuad SimpsonSQuad rk_step rk23_adaptive _rk_adaptive RKAdaptiveStepSolver RK45 RK23 rk45_adaptive rk4_ivp explicit_rk rk38_ivp mhcustom dummy1d _mh_sample mh _mhcustom_sample BaseInterp _get_spline_mat_inv LinearInterp1D BaseInterp1D check_and_get_extrap CubicSpline1D check_periodic_value _take_eigpairs davidson exacteig _set_initial_v degen_symeig TerminationCondition adam gd _get_svd_uv0 Jacobian FullRankMatrix LinearMixing BroydenSecond LowRankMatrix BroydenFirst test_debug_default test_debug_context_manager test_set_debug_mode ModuleTest test_get_unique_params_leaves test_correct test_error_getsetparams test_edit_simple test_edit_list test_edit_dict test_edit_duplicate test_warning_getsetparams test_quad_multi test_quad_inf MCQuadLogProbNNModule test_squad IntegrationInfModule IntegrationNNModule test_ivp_methods IntegrationNNMultiModule test_mcquad test_ivp IVPModule IntegrationModule get_true_output IntegrationMultiModule MCQuadFcnModule test_quad IVPNNModule test_interp1_linear test_interp1_editable_module test_interp1_unsorted test_extrap test_interp1_cspline test_jac_grad getfnparams test_jac_method_grad func1 hfunc1 test_jac_func test_jac_scalar_func func2 test_hess_grad getnnparams test_hess_func scalar_func getfnscalarparams hfunc2 test_equil_mem test_rootfinder_mem test_solve_AEM_mem test_lsymeig_AM_mem DummyModule test_minimize_mem test_minimizer_warnings test_rootfinder_methods test_rootfinder test_equil_methods test_min_not_stop_for_negative_value test_equil test_minimize DummyNNInEditableModule test_minimize_methods DummyModuleExplicit DummyModule DummyNNModule test_rootfinder_with_params test_packer_complex_structure test_packer_null test_packer_list_tensors test_packer_tensor MyObj runtest_pfunc MyModule func1 test_make_sibling_multiple TorchModule test_pure_function test_make_sibling_fcn test_module_pfunc test_make_sibling_multiple_nonunique_objs test_make_sibling_method jitfunc1 NNModule NNModule0 test_wrap_nnmodule assert_no_memleak device_dtype_float_test _get_tensor_memory _get_complex_dtype _show_memsize assert_runtime assert_type assert_fcn_params assert_broadcastable _del_attr _applyfcn set_attr _set_attr del_attr _preproc_name _get_attr _traverse_attr get_attr normalize_bcast_dims get_bcasted_dims _deprecated deprecated MathWarning UnimplementedError GetSetParamsError ConvergenceWarning convert_none_grads_to_zeros create_random_square_matrix create_random_ortho_matrix tallqr to_fortran_order tuple_axpy1 get_np_dtype Uniquifier str message rootfinder zeros_like cross shape norm repeat norm sum get_normal get_intersection range plot plot zeros_like linspace numpy cat norm transpose rand cos pi matmul tensor cat shape zeros_like show get_reflection plot reshape close dot plot_rays savefig get_intersection plot_surface forward norm unsqueeze clone cat solve_ivp cat plot set_xlim close savefig range set_ylim detach int unsqueeze linspace ceil meshgrid cos pi unsqueeze linspace sin cat get_loss randn backward float64 get_target_pos print zero_grad Adam requires_grad_ linspace mkdir manual_seed save_image step range get_initial_pos decode _minimal_ext_cmd join chdir getcwd git_version dirname abspath now strftime _get_git_version DebugSingleton DebugSingleton is_debug_enabled set_debug_mode is_debug_enabled set_debug_mode add_argument ArgumentParser scriptfile parse_args insert list hasattr isinstance extend append Tensor values pop items list hasattr isinstance Tensor enumerate append enumerate len fcn shape range len zeros list range zeros list range tensor list range zeros T matmul func zip enumerate tensor tensor cls setup dtype fcn device append empty range len dtype numel fcn device empty range zeros _mh_sample logpfcn dtype rand randn_like range device empty log zeros _mhcustom_sample logpfcn dtype range device empty custom_step dtype logpfcn tan exp sum leggauss cos empty_like device tensor atan range dtype zeros_like solve diagonal device zeros cat fullmatrix _take_eigpairs matmul apply inverse cholesky conj dtype print transpose _take_eigpairs matmul get_bcasted_dims eigh lower unsqueeze tallqr device _set_initial_v mm max range cat to_fortran_order isinstance randn reshape rand reduce manual_seed tallqr get_best_x zeros_like TerminationCondition clone to_stop fcn tensor range detach get_best_x zeros_like TerminationCondition clone to_stop fcn tensor range detach svd sqrt clamp set_debug_mode getattr assertparams print getattr assertparams ModuleTest tensor getuniqueparams method_correct_getsetparams objparams get_pure_function tensor method_correct_getsetparams2 objparams get_pure_function method_duplicate_correct objparams get_pure_function method_dict_correct objparams method_list_correct get_pure_function seed Parameter clss gradgradcheck quad requires_grad_ gradcheck manual_seed forward sin seed Parameter clss cos quad requires_grad_ manual_seed forward sin seed Parameter get_loss gradgradcheck pi requires_grad_ sqrt gradcheck manual_seed tensor float seed Parameter exp gradgradcheck requires_grad_ gradcheck unsqueeze getoutput manual_seed seed Parameter exp requires_grad_ unsqueeze getoutput manual_seed seed Parameter print grad requires_grad_ getoutput manual_seed tensor get_true_output integrate cumsum gradgradcheck assertparams getval requires_grad_ gradcheck SQuad tensor gradgradcheck requires_grad_ randperm gradcheck linspace interp tensor len gradgradcheck requires_grad_ randperm gradcheck linspace interp tensor len interp2 requires_grad_ randperm linspace interp len requires_grad_ Interp1D zip print requires_grad_ interp tensor float matmul matmul rand rand rand getfnparams grad numel requires_grad_ jac func getnnparams range len getfnparams gradgradcheck rand gradcheck jac range len getfnparams gradgradcheck rand func2 jac gradcheck getnnparams range len grad numel requires_grad_ jac func getfnscalarparams range len hess getfnparams grad func getnnparams range len hess getfnparams gradgradcheck gradcheck range len assert_no_memleak assert_no_memleak assert_no_memleak assert_no_memleak assert_no_memleak seed Parameter clss set_diag_bias gradgradcheck rootfinder requires_grad_ gradcheck manual_seed to forward seed Parameter clss set_diag_bias gradgradcheck requires_grad_ gradcheck equilibrium manual_seed to forward seed clss gradgradcheck rootfinder requires_grad_ gradcheck manual_seed to forward seed Parameter clss fullmatrix set_diag_bias minimize gradgradcheck grad eigvalsh requires_grad_ gradcheck manual_seed to forward seed Parameter DummyModule set_diag_bias float64 rootfinder requires_grad_ manual_seed to forward seed Parameter DummyModule set_diag_bias requires_grad_ equilibrium manual_seed to forward seed Parameter DummyModule defaultdict fullmatrix set_diag_bias minimize grad eigvalsh requires_grad_ manual_seed to forward Packer construct_from_tensor print get_param_tensor get_param_tensor_list tensor construct_from_tensor_list Packer construct_from_tensor get_param_tensor get_param_tensor_list append tensor construct_from_tensor_list range len Packer construct_from_tensor_list construct_from_tensor Packer construct_from_tensor get_param_tensor get_param_tensor_list grad requires_grad_ tensor sum construct_from_tensor_list cat MyObj tensor runtest_pfunc get_pure_function Parameter clss runtest_pfunc get_pure_function tensor forward tensor runtest_pfunc Parameter tensor clss runtest_pfunc Parameter runtest_pfunc MyModule TorchModule tensor Parameter tensor runtest_pfunc MyModule objparams expr pfunc Parameter objparams get_pure_function tensor range len join list param product extend append skip_fcn keys values fcn _show_memsize collect _get_tensor_memory collect print _get_tensor_memory fcn range is_sparse size data_ptr add set element_size storage zip assertparams literal_eval isinstance max normalize_bcast_dims __init__ __str__ isfunction isclass __name__ transpose inverse matmul conj is_contiguous list zeros_like isinstance tuple range len norm diag_embed randn float64 transpose matmul sign linspace manual_seed create_random_ortho_matrix randn float64 qr manual_seed | xitorch/xitorch | 4,150 |
xiyou3368/DGVAE | ['graph clustering', 'link prediction', 'graph generation'] | ['Variational Graph Auto-Encoders', 'Dirichlet Graph Variational Autoencoder'] | dgvae/input_data.py dgvae/preprocessing.py dgvae/initializations.py dgvae/layers.py setup.py dgvae/model_graphite.py dgvae/train_generate.py dgvae/optimizer_graphite.py dgvae/optimizer.py dgvae/model.py weight_variable_glorot generate_data parse_index_file load_data dropout_sparse get_layer_uid Scale GraphConvolution Dense InnerProductDecoder GraphConvolutionSparse zeros Graphite GraphiteSparse Layer OurModelVAE GCNModelVAE OurModelAE GCNModelAE Model GCNModelSiemens Model GCNModelVAE GCNModelFeedback OptimizerOur OptimizerAE OptimizerVAE OptimizerSiemens OptimizerVAE preprocess_graph_e graph_padding preprocess_graph_generate preprocess_graph_generate_e mask_test_graphs sparse_to_tuple preprocess_graph construct_feed_dict mask_test_edges get_roc_score sqrt random_uniform append int strip open list format lil_matrix from_dict_of_lists tolil tuple sort min adjacency_matrix parse_index_file max range len seed int powerlaw_cluster_graph asarray random_geometric_graph barabasi_albert_graph degree random_regular_graph dict uniform erdos_renyi_graph randint range to_numpy_matrix append ego_graph sparse_retain floor cast data shape transpose tocoo tocoo flatten coo_matrix array eye sum diags diags tocoo flatten dot coo_matrix eye sum array diags tocoo csr_matrix eliminate_zeros sparse_to_tuple dia_matrix flatten coo_matrix eye append sum array enumerate diags tocoo csr_matrix eliminate_zeros sparse_to_tuple dia_matrix flatten dot coo_matrix eye append sum array enumerate dict update int list ismember T eliminate_zeros ones sparse_to_tuple hstack csr_matrix shuffle delete dia_matrix floor append randint triu array range zeros max enumerate int list hstack shuffle delete array floor max range len flatten abs roc_auc_score run reconstructions_noiseless shape update z_mean square construct_feed_dict mean sqrt startswith int T reshape average_precision_score dot sigmoid | xiyou3368/DGVAE | 4,151 |
xjock/deeplebv3plus-hedplus | ['edge detection', 'semantic segmentation'] | ['DV3+HED+: A DCNNs-based Framework to Monitor Temporary Works and ESAs in Railway Construction Project Using VHR Satellite Images'] | train.py inference.py deeplabv3plus_hedplus_model.py loss_al.py hed_model_fn init_from_checkpoint side_layer deconv_layer atrous_spatial_pyramid_pooling weight_variable deeplabv3_plus_model_fn deeplab_v3_plus_generator conv_layer bias_variable main attention_loss input_fn get_filenames parse_record main preprocess_image initial initial format conv2d histogram bias_variable weight_variable as_list conv2d_transpose format constant shape stack histogram int32 weight_variable list NewCheckpointReader is_compatible_with get_tensor print shape assign keys get_variable_to_shape_map resnet_v2_50 resnet_v2_101 compute_mean_iou to_int32 concat decode_labels image argmax py_func mean_image_addition squeeze get_collection identity cast polynomial_decay expand_dims piecewise_constant attention_loss get_or_create_global_step MomentumOptimizer copy map_fn deeplab_v3_plus_generator mean_iou uint8 print reshape sparse_softmax_cross_entropy greater confusion_matrix accuracy sigmoid UPDATE_OPS int32 network scalar fromarray join imwrite zip print debug Estimator read_examples_list predict infer_data_list output_dir save LocalCLIDebugHook makedirs exp relu float32 reduce_sum sigmoid pow reduce_mean cast clip_by_value log1p to_float reshape to_int32 convert_image_dtype set_shape parse_single_example decode_image mean_image_subtraction TFRecordDataset from_tensor_slices get_filenames flat_map shuffle map make_one_shot_iterator get_next repeat prefetch batch train_epochs replace evaluate LoggingTensorHook rmtree model_dir epochs_per_eval has_inf_or_nan info append train add_tensor_filter range clean_model_dir | xjock/deeplebv3plus-hedplus | 4,152 |
xjqicuhk/3DGNN | ['semantic segmentation'] | ['3D Graph Neural Networks for RGBD Semantic Segmentation'] | caffe_code/examples/web_demo/app.py caffe_code/python/caffe/test/test_layer_type_list.py caffe_code/tools/extra/resize_and_crop_images.py caffe_code/tools/extra/summarize.py caffe_code/python/caffe/net_spec.py caffe_code/python/caffe/draw.py caffe_code/python/caffe/test/test_python_layer.py train_data_hdf5_file_generate/generate_hdf5.py caffe_code/python/caffe/test/test_io.py caffe_code/python/caffe/test/test_net.py caffe_code/python/caffe/io.py caffe_code/tools/extra/parse_log.py caffe_code/src/caffe/test/test_data/generate_sample_data.py caffe_code/python/caffe/test/test_solver.py caffe_code/python/caffe/classifier.py caffe_code/python/caffe/test/test_net_spec.py caffe_code/python/caffe/pycaffe.py caffe_code/tools/extra/extract_seconds.py caffe_code/examples/web_demo/exifutil.py caffe_code/python/detect.py caffe_code/scripts/copy_notebook.py caffe_code/scripts/cpp_lint.py caffe_code/python/classify.py caffe_code/python/draw_net.py caffe_code/python/caffe/test/test_python_layer_with_param_str.py caffe_code/python/caffe/__init__.py caffe_code/scripts/download_model_binary.py caffe_code/python/caffe/detector.py caffe_code/examples/finetune_flickr_style/assemble_data.py caffe_code/examples/pycaffe/caffenet.py caffe_code/examples/pycaffe/layers/pyloss.py download_image make_net max_pool caffenet conv_relu fc_relu EuclideanLossLayer start_tornado start_from_terminal embed_image_html classify_upload index allowed_file ImagenetClassifier classify_url open_oriented_im apply_orientation main main main parse_args Classifier Detector get_edge_label draw_net get_layer_label get_pydot_graph choose_color_by_layertype get_pooling_types_dict draw_net_to_file Transformer blobproto_to_array datum_to_array array_to_blobproto arraylist_to_blobprotovecor_str array_to_datum resize_image blobprotovector_str_to_arraylist load_image oversample Layers Function Parameters Top NetSpec assign_proto param_name_dict to_proto _Net_blobs _Net_forward_all _Net_set_input_arrays _Net_backward _Net_params _Net_forward _Net_IdNameWrapper _Net_outputs _Net_forward_backward_all _Net_blob_loss_weights _Net_batch _Net_inputs TestBlobProtoToArray TestLayerTypeList simple_net_file TestNet lenet TestNetSpec silent_net anon_lenet exception_net_file parameter_net_file SimpleLayer TestPythonLayer ParameterLayer python_net_file ExceptionLayer SimpleParamLayer TestLayerWithParam python_param_net_file TestSolver ParseNolintSuppressions CheckVlogArguments CheckSectionSpacing FindNextMultiLineCommentEnd ReplaceAll CheckForFunctionLengths _SetOutputFormat _IsTestFilename _VerboseLevel CheckBraces RemoveMultiLineComments ResetNolintSuppressions CheckForNonStandardConstructs _SetVerboseLevel PrintUsage _NestingState CheckIncludeLine CheckAccess _CppLintState Search CheckInvalidIncrement RemoveMultiLineCommentsFromRange CleansedLines CheckForBadCharacters UpdateIncludeState FindPreviousMatchingAngleBracket CheckEmptyBlockBody FindNextMultiLineCommentStart Match _NamespaceInfo CheckMakePairUsesDeduction CheckCheck IsBlankLine _SetFilters ProcessLine _FunctionState CheckPosixThreading GetLineWidth GetHeaderGuardCPPVariable IsCppString _IncludeState CheckSpacing _ClassInfo CheckForCopyright IsErrorSuppressedByNolint ProcessFileData CheckForMultilineCommentsAndStrings CloseExpression _PreprocessorInfo _OutputFormat CheckForIncludeWhatYouUse CheckSpacingForFunctionCall FindEndOfExpressionInLine FindNextMatchingAngleBracket _SetCountingStyle ProcessFile _IncludeError CleanseRawStrings CheckAltTokens CheckForNewlineAtEOF ParseArguments CheckForNonConstReference PrintCategories _Filters main FilesBelongToSameModule CheckCStyleCast FileInfo _BlockInfo CheckForHeaderGuard CheckCaffeDataLayerSetUp ReverseCloseExpression CleanseComments _DropCommonSuffixes _ClassifyInclude CheckStyle CheckCaffeAlternatives FindStartOfExpressionInLine _ShouldPrintError CheckComment Error _GetTextInside CheckLanguage CheckCaffeRandom GetPreviousNonBlankLine reporthook parse_readme_frontmatter model_checks_out valid_dirname get_start_time extract_seconds extract_datetime_from_line get_log_created_year write_csv parse_log fix_initial_nan_learning_rate save_csv_files main parse_args parse_line_for_net_output ResizeCropImagesMapper PILResizeCrop OpenCVResizeCrop print_table printed_len summarize_net main read_net format_param imread urlretrieve Convolution InnerProduct Data SoftmaxWithLoss LRN Accuracy max_pool InnerProduct conv_relu fc_relu Dropout get read info load_image classify_image StringIO join replace info secure_filename save filename open_oriented_im classify_image fromarray replace astype save resize StringIO items list listen HTTPServer format print start WSGIContainer update start_tornado add_option OptionParser debug port parse_args ImagenetClassifier forward run hasattr _getexif astype float32 tile apply_orientation open transpose model_def endswith ArgumentParser save mean_file channel_swap output_file dirname expanduser parse_args input_file predict Classifier set_mode_cpu load time isdir print add_argument set_mode_gpu pretrained_model gpu len DataFrame Detector format to_hdf detect_selective_search mean set_index to_csv detect_windows read_csv add_argument ArgumentParser read NetParameter output_image_file rankdir Merge draw_net_to_file items list DESCRIPTOR batch_size str num_output get_pooling_types_dict add_edge get_edge_label list Dot get_layer_label values name choose_color_by_layertype Edge Node bottom append type layer add_node top data array diff shape BlobProto extend flat extend BlobProtoVector ParseFromString BlobProtoVector extend tostring shape Datum flat data len astype float32 tile zoom tuple resize fill empty array concatenate shape tile empty array LayerParameter list NetParameter _to_proto extend Counter OrderedDict values iteritems hasattr isinstance extend add getattr setattr items list layers index set outputs _forward len items list _backward layers inputs index set len items list asarray extend copy next _batch iter forward values len items list asarray backward extend copy next _batch zip_longest zip iter forward values len ascontiguousarray list concatenate iter zeros next range values len NamedTemporaryFile str close write data Pooling pool1 conv2 pool2 ip1 relu1 SoftmaxWithLoss Convolution NetSpec DummyData ip2 ReLU InnerProduct label conv1 Pooling SoftmaxWithLoss Convolution DummyData ReLU InnerProduct data NetSpec DummyData Silence data2 error search add group clear compile compile compile SetOutputFormat SetCountingStyle SetFilters _Filters startswith IsErrorSuppressedByNolint _ShouldPrintError write IncrementErrorCount replace append Match group find startswith endswith range error FindNextMultiLineCommentEnd RemoveMultiLineCommentsFromRange FindNextMultiLineCommentStart rstrip find range len FindEndOfExpressionInLine range len FindStartOfExpressionInLine error min search I range len FileInfo RepositoryName sep sub ParseNolintSuppressions error startswith split GetHeaderGuardCPPVariable enumerate error enumerate error len error replace count error find error find error find error find error Search error match InnermostClass replace error escape Match Search error group Search Check error lines Count End group Begin NumLines Match raw_lines range Search error match group error Match group pop group append Search pop group append Search elided replace CheckSpacingForFunctionCall rfind error len group min CloseExpression NumLines sub find CheckComment Match range Search lines_without_raw_strings error group starting_linenum Match range Search error rfind len group ReverseCloseExpression Search Match CloseExpression find error Match CloseExpression find elided error strip group FindEndOfExpressionInLine find Match range CloseExpression len error Match finditer normalize isinstance GetLineWidth int InnermostClass CheckCheck error CheckAltTokens CheckBraces CheckSpacing CheckSectionSpacing CheckEmptyBlockBody CheckAccess GetHeaderGuardCPPVariable lines_without_raw_strings _DropCommonSuffixes RepositoryName match split CheckNextIncludeOrder CanonicalizeAlphabeticalOrder FileInfo error search group SetLastHeader match _ClassifyInclude Match pop end search set append values M rstrip replace CheckCStyleCast error _GetTextInside CheckIncludeLine search group lstrip startswith Match ResetSection Search split rfind error group ReverseCloseExpression lstrip findall Match range Search ReplaceAll error Match Search endswith replace setdefault group search CleanseComments open list FilesBelongToSameModule error search copy sub NumLines FullName keys range error search CheckPosixThreading ParseNolintSuppressions CheckVlogArguments CheckMakePairUsesDeduction CheckCaffeDataLayerSetUp CheckLanguage CheckInvalidIncrement CheckCaffeRandom CheckForNonConstReference check_fn Update CheckForNonStandardConstructs CheckStyle raw_lines CheckForMultilineCommentsAndStrings CheckCaffeAlternatives CheckForFunctionLengths CleansedLines _NestingState CheckForBadCharacters CheckForNewlineAtEOF _IncludeState RemoveMultiLineComments CheckForCopyright ResetNolintSuppressions CheckForHeaderGuard NumLines CheckCompletedBlocks CheckForIncludeWhatYouUse range ProcessLine _FunctionState Error rstrip endswith len write ProcessFileData _SetVerboseLevel range split write exit join write exit _VerboseLevel int getopt _SetOutputFormat set _SetVerboseLevel PrintCategories _SetFilters _OutputFormat PrintUsage _SetCountingStyle split getreader ParseArguments ResetErrorCounts stderr exit verbose_level PrintErrorCounts StreamReaderWriter ProcessFile getwriter int time write flush load join index int rfind datetime split getctime year strip extract_datetime_from_line get_start_time total_seconds strip write get_log_created_year close extract_datetime_from_line open float get_log_created_year compile fix_initial_nan_learning_rate search group OrderedDict append float join basename write_csv print excel parse_log save_csv_files output_dir logfile_path NetParameter decay_mult format name lr_mult append print zip len get join str format convolution_param list setdefault param kernel_size map set top bottom append type module layer enumerate print_table filename summarize_net read_net | xjqicuhk/3DGNN | 4,153 |
xjwxjw/VPEG | ['video prediction'] | ['Video Prediction via Example Guidance'] | PennAction/utils/__init__.py RobotPush/models/vgg_64.py PennAction/models/motion_generator_model.py RobotPush/extract.py PennAction/make_pseudo_labels.py PennAction/models/final_model.py PennAction/models/__init__.py PennAction/data/sequence_dataloader.py RobotPush/bair.py PennAction/models/networks/__init__.py PennAction/match.py PennAction/gen_gif.py PennAction/utils/model.py PennAction/models/networks/vgg.py PennAction/utils/data.py PennAction/data/__init__.py RobotPush/train_vpeg_feature.py PennAction/models/detector_translator_model.py PennAction/data/image_pair_dataloader.py PennAction/data/keypoint_dataloader.py RobotPush/generate_vpeg.py PennAction/train.py RobotPush/train_vpeg.py PennAction/models/base_model.py RobotPush/utils.py RobotPush/models/lstm.py PennAction/data/base_dataloader.py PennAction/evaluate.py PennAction/models/networks/layers.py PennAction/utils/training.py PennAction/models/keypoint_model.py _checkpoint_exist main _save_img_sequence _save_img main _save_output func main _get_dataloader_by_mode _get_model_by_mode BaseDataLoader ImagePairDataLoader KeypointDataLoader SequenceDataLoader BaseModel DetectorTranslatorModel FinalModel KeypointModel MotionGeneratorModel to_coord conv lstm_model batch_norm Vgg19 translator image_encoder seq_discr pose_encoder vae_decoder img_discr encoder vae_encoder rotate_keypoints center_crop create_one_hot_label apply_random_filter generate_new_color color_distance get_n_colors get_random_color get_gaussian_maps colorize_point_maps get_coord get_n_iterations touch_dir load_config RobotPushMatch RobotPush main extract_data get_next_video_data kl_criterion get_testing_batch get_training_batch plot kl_criterion get_training_batch plot get_testing_batch plot_rec reparameterize train kl_criterion get_training_batch get_testing_batch plot_rec train finn_psnr image_tensor finn_ssim save_image save_gif_with_text mse_metric normalize_data load_dataset gaussian2 prod fspecial_gauss make_image draw_text_tensor clear_progressbar is_sequence init_weights save_np_img sequence_input batch_flatten save_gif finn_eval_seq eval_seq save_tensors_image var_encoder lstm gaussian_lstm lstm_dis encoder vgg_layer decoder seed config add_argument ArgumentParser parse_args ConfigProto load_config fromarray uint8 squeeze astype save join touch_dir range _save_img join touch_dir join format save load join int list sorted items replace abs len dict mean round savemat listdir keys range enumerate open now strftime MultiRNNCell randint float size radians cos sin zeros min get_random_color range append generate_new_color range to_float exp reshape transpose square linspace to_float reshape reduce_sum reduce_mean softmax linspace mkdir join str value list frombytes concatenate reshape Glob Example ParseFromString vstack tf_record_iterator append empty array join listdir format imwrite print astype get_next_video_data COLOR_RGB2BGR enumerate savetxt vwrite next exists cvtColor makedirs extract_data exp log append normalize_data range append normalize_data range frame_predictor decoder batch_size n_eval min len posterior save_gif append encoder range init_hidden cat detach Variable normal_ exp_ reparameterize posterior_mu mean prior_mu save_tensors_image n_past frame_predictor save_tensors_image reparameterize posterior_mu batch_size min mean append encoder range n_future init_hidden cat detach batch_size zero_grad unsqueeze abs cuda n_past frame_predictor argmin append encoder sum range cat detach posterior_mu mean n_future prior_mu decoder backward beta reparameterize step std init_hidden decoder RobotPush transpose_ ones size len copy_ enumerate fromarray tile save clamp size expand fromarray uint8 asarray Draw text numpy image_tensor clamp mimsave cpu numpy append image_tensor mimsave zip cpu numpy append make_image transpose imwrite image_tensor print sum zeros mse_metric range len mean isnan mse_metric zeros range len mean exp pi exp fspecial_gauss float64 astype fftconvolve normal_ __name__ fill_ | xjwxjw/VPEG | 4,154 |
xl-sr/CAL | ['imitation learning', 'autonomous navigation', 'autonomous driving'] | ['Conditional Affordance Learning for Driving in Urban Environments'] | python_client/carla/driving_benchmark/driving_benchmark.py training/net.py python_client/agents/CAL_agent/controller/__init__.py python_client/carla/driving_benchmark/__init__.py python_client/carla/image_converter.py python_client/carla/driving_benchmark/recording.py python_client/carla/driving_benchmark/results_printer.py training/dataloader.py python_client/carla/planner/grid.py python_client/carla/planner/map.py python_client/carla/planner/converter.py python_client/agents/CAL_agent/plans/centerlines.py python_client/carla/driving_benchmark/experiment_suites/longcontrol_2018.py python_client/carla/agent/modules/utils.py python_client/carla/agent/modules/waypointer.py python_client/agents/CAL_agent/controller/PID_Controller.py python_client/carla/transform.py python_client/agents/CAL_agent/CAL_agent.py python_client/carla/agent/modules/obstacle_avoidance.py python_client/carla/driving_benchmark/experiment_suites/experiment_suite.py python_client/carla/planner/city_track.py python_client/carla/sensor.py python_client/carla/driving_benchmark/experiment.py python_client/carla/driving_benchmark/experiment_suites/basic_experiment_suite.py training/make_validationset.py python_client/carla/tcp.py python_client/agents/CAL_agent/perception/cal_network.py python_client/agents/CAL_agent/perception/__init__.py python_client/carla/pid_controller/pid.py python_client/carla/client.py python_client/carla/agent/forward_agent.py python_client/carla/agent/__init__.py python_client/carla/planner/__init__.py python_client/carla/planner/bezier.py python_client/carla/driving_benchmark/experiment_suites/__init__.py python_client/agents/CAL_agent/perception/net.py python_client/driving_benchmark.py python_client/carla/driving_benchmark/metrics.py training/metrics.py python_client/carla/driving_benchmark/experiment_suites/corl_2017.py python_client/agents/CAL_agent/plans/__init__.py python_client/carla/agent/modules/controllers.py python_client/carla/planner/graph.py python_client/carla/util.py python_client/carla/planner/planner.py python_client/carla/agent/command_follower.py python_client/carla/settings.py python_client/carla/agent/agent.py python_client/carla/agent/human_agent.py python_client/carla/planner/astar.py python_client/carla/carla_server_pb2.py python_client/carla/agent/modules/__init__.py python_client/carla/agent/lane_follower.py training/train.py CAL cycle_signal get_params_from_txt Timer VehicleState PID Crop get_transform softmax load_json CAL_network Rescale to_np get_model TaskBlock NetworkParams TimeSlice tile_array CAL_network get_bool_vec Flatten Swap1and2 string_to_floats Centerlines load_array make_carla_client _make_sensor_parsers CarlaClient labels_to_cityscapes_palette to_bgra_array depth_to_array depth_to_logarithmic_grayscale depth_to_local_point_cloud to_rgb_array labels_to_array Image Lidar SensorData Camera LidarMeasurement _append_extension Sensor PointCloud CarlaSettings TCPConnectionError TCPClient Transform make_connection print_over_same_line to_hex_str StopWatch Agent CommandFollower ForwardAgent HumanAgent LaneFollower Controller ObstacleAvoidance get_vec_dist get_angle sldist Waypointer angle_between sldist DrivingBenchmark run_driving_benchmark cycle_signal Experiment Metrics Recording print_summary BasicExperimentSuite CoRL2017 ExperimentSuite LongitudinalControl2018 PID AStar Cell bezier_curve bernstein_poly CityTrack Converter string_to_floats sldist Graph sldist3 string_to_node Grid angle_between CarlaMap color_to_angle sldist angle_between Planner signal compare get_data_transforms Crop onehot roll get_data Augment get_mini_data save_json CAL_Dataset load_json get_augmentations Rescale statistics_match get_val_idcs calculate_scores calc_metrics labels2classes get_intersection_union_per_class get_model TaskBlock NetworkParams TimeSlice tile_array CAL_network get_bool_vec Flatten Swap1and2 validate calc_class_weight get_class_weights custom_loss MAE WCE loss_batch train to_np fit pop append shape as_strided strides zeros tile_array update NetworkParams Adam named_parameters parameters CAL_network split error type SensorDefinition reshape frombuffer raw_data to_bgra_array zeros list labels_to_array items dot astype float32 to_bgra_array depth_to_array ones log shape clip tan height depth_to_array reshape inv identity pi where delete dot width fov array connect client_type columns write max flush len sqrt array atan2 items list print zip zeros range len dot array linspace len split Sequential zeros enumerate isinstance where CAL_Dataset CAL_Dataset append cmp keys list print statistics_match unique array read_csv range format confusion_matrix mean trace append float sum range get_intersection_union_per_class len argmax mean calculate_scores abs sum unique read_csv argmax cross_entropy to step zero_grad loss_func backward model tqdm device loss_batch to device time validate format print eval save append train range state_dict | xl-sr/CAL | 4,155 |
xmichelleshihx/AL-LRTD | ['active learning'] | ['LRTD: Long-Range Temporal Dependency based Active Learning for Surgical Workflow Recognition'] | get_paths_labels.py SAASmodule.py utils.py train_singlenet_phase_addnonlocal_AL.py models/resnet.py test_singlenet_phase_+nonlocal.py get_files get_dirs SeqSampler load_select_data resnet_lstm val_for_selection val_for_DBNselection resnet_lstm_nonlocal val_for_CNNembselection non_local_select resnet_lstm_feature save_select_data_bylabel save_indices random_select_data CNN_emb_select DBN_select p_value resnet_lstm_dropout save_select_data CholecDataset SeqSampler get_test_data resnet_lstm_nonlocal test_model resnet_lstm main get_useful_start_idx pil_loader CholecDataset SeqSampler train_model resnet_lstm_nonlocal RandomRotation CholecDataset1 get_data RandomCrop resnet_lstm_dropout RandomHorizontalFlip resnet_lstm main get_useful_start_idx pil_loader ColorJitter get_log makeArrayOneHot onehot_to_label get_confusion_matrix_values data_prefetcher I3Res50_new_test_1block FrozenBN Bottleneck_test I3Res50_new i3_res50_nl_new I3Res50 MyModel Bottleneck NonLocalBlock_test_Conv1 i3_res50_nl freeze_bn i3_res50 i3_res50_nl_new_test_1block i3_res50_nl_new_test NonLocalBlock I3Res50_new_test NonLocalBlock_test join basename isdir sort append listdir join basename sort append listdir join str len write dumps close open join str print makedirs write dumps close open len join str len write dumps close open print sort extend sample range len load items list time resnet_lstm_nonlocal print DataLoader DataParallel eval load_state_dict append to range len load items list time print resnet_lstm_feature DataLoader DataParallel eval load_state_dict append to range len load items list time print DataLoader resnet_lstm_dropout DataParallel load_state_dict eval append to range len int sorted list val_for_selection items sort extend append float range len int sorted list items sort val_for_CNNembselection extend append float range len int sorted val_for_DBNselection list items sort extend append float range len ttest_ind print set_trace zeros numpy range len append range len CholecDataset format asarray print Compose len DataLoader DataParallel get_useful_start_idx str list resnet_lstm_nonlocal load_state_dict append to CrossEntropyLoss range format eval float load items time int print len test_model get_test_data CholecDataset format asarray print Compose len get_log zero_grad SGD localtime DataLoader DataParallel floor ReduceLROnPlateau save max get_useful_start_idx str load_select_data list StepLR resnet_lstm_nonlocal set_trace Adam strftime random_select_data load_state_dict append resnet_lstm to range CrossEntropyLoss state_dict SummaryWriter glob close shuffle eval DBN_select info sample resnet_lstm_dropout float add_scalars load join time items int deepcopy remove print makedirs Subset non_local_select parameters filter isfile zeros train step save_select_data len get_data train_model setFormatter getLogger addHandler StreamHandler Formatter setLevel INFO FileHandler list reshape shape swapaxes zeros argmax confusion_matrix data eps FrozenBN num_features set_params setattr named_children dir momentum running_mean getattr running_var load I3Res50 load_state_dict load I3Res50 load_state_dict load load_state_dict I3Res50_new load load_state_dict I3Res50_new_test load I3Res50_new_test_1block load_state_dict | xmichelleshihx/AL-LRTD | 4,156 |
xptree/NetSMF | ['network embedding'] | ['NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization'] | example/predict.py example/mat2edge.py example/redsvd2emb.py mat2edge load_adjacency_matrix construct_indicator predict_cv load_w2v_feature load_label redsvd2emb loadmat print eliminate_zeros todok load_adjacency_matrix csr_matrix argsort sum fliplr range bool_ endswith print csr_matrix astype int32 info save_npz loadmat array construct_indicator len OneVsRestClassifier LogisticRegression mean ShuffleSplit predict_proba split info append f1_score fit | xptree/NetSMF | 4,157 |
xpz123/pytorch-kaldi | ['speech recognition', 'noisy speech recognition', 'distant speech recognition'] | ['The PyTorch-Kaldi Speech Recognition Toolkit'] | kaldi_decoding_scripts/utils/nnet/make_lstm_proto.py data_io.py core.py kaldi_decoding_scripts/utils/nnet/gen_hamm_mat.py kaldi_decoding_scripts/utils/nnet/make_nnet_proto.py kaldi_decoding_scripts/utils/filt.py datautils.py kaldi_decoding_scripts/utils/nnet/make_blstm_proto.py save_raw_fea.py utils.py kaldi_decoding_scripts/utils/nnet/gen_dct_mat.py tune_hyperparameters.py neural_networks.py kaldi_decoding_scripts/utils/reverse_arpa.py run_exp.py plot_acc_and_loss.py kaldi_decoding_scripts/utils/nnet/gen_splice.py kaldi_decoding_scripts/utils/nnet/make_cnn_proto.py kaldi_decoding_scripts/utils/nnet/make_cnn2d_proto.py run_nn set_datapath load_counts UnknownMatrixHeader _read_vec_flt_binary open_or_fd _read_mat_ascii read_vec_int_ark context_window_old read_vec_flt_scp UnknownVectorHeader read_cntime_ark load_chunk read_vec_flt_ark write_mat read_cntime write_vec_int UnsupportedDataType BadInputFormat read_post_ark SubprocessFailed write_vec_flt read_vec_int read_mat load_dataset BadSampleSize read_vec_flt read_post_rxspec read_post_scp read_ali_ark _read_mat_binary read_key read_cnet_ark _read_compressed_mat read_segments_as_bool_vec read_lab_fea context_window popen read_mat_scp read_post read_mat_ark CNN RNN minimalGRU act_fun liGRU MLP SincNet SincConv_fast LayerNorm SincConv flip LSTM_cudnn GRU_cudnn LSTM RNN_cudnn GRU nth_replace_string run_command compute_cw_max create_curves run_shell read_args_command_line check_cfg parse_model_field create_lists optimizer_init create_block_diagram run_shell_display is_sequential export_loss_acc_to_txt write_cfg_chunk split_chunks expand_section_proto expand_str_ep create_block_connection compute_avg_performance check_consistency_with_proto parse_fea_field change_lr_cfg check_field expand_section get_all_archs forward_model terminal_node_detection model_init create_configs parse_lab_field dict_fea_lab_arch is_sequential_dict shift check_cfg_fields cfg_item2sec list_fea_lab_arch dump_epoch_results compute_n_chunks progress fix_filt_step Glorot load_counts strtobool open_or_fd zero_grad numpy save write_mat round cuda max log seed str list optimizer_init len exit map load_state_dict sum range detach state_dict Thread replace ConfigParser close start manual_seed item float keys model_init forward_model load int read join time backward is_sequential_dict contiguous shift write randint step progress split join readlines set_trace set_path rename exists str sorted list concatenate zip append zeros keys range len flatten empty range concatenate empty range roll min mean context_window load_dataset std column_stack update int read list dict_fea_lab_arch ConfigParser is_sequential_dict write exit shuffle load_chunk compute_cw_max keys append column_stack rsplit int seek search popen split open start Popen open decode strip read_vec_int open_or_fd read_key decode remove read open_or_fd close frombuffer array split pack char write open_or_fd encode range len read_vec_flt open_or_fd split read_vec_flt open_or_fd read_key decode remove open_or_fd close array split decode read frombuffer pack char write open_or_fd encode tobytes read_mat open_or_fd split read_mat open_or_fd read_key decode _read_mat_ascii _read_mat_binary open_or_fd decode read reshape startswith frombuffer decode vstack append array split dtype read reshape zeros frombuffer array pack char write open_or_fd encode tobytes print exit startswith open_or_fd read_post split open_or_fd read_post read_key decode read tolist open_or_fd close append frombuffer range read_cntime open_or_fd read_key decode read tolist open_or_fd close frombuffer loadtxt repeat astype size view contiguous decode readline print append Popen decode write Popen flush communicate wait Popen int str findall group write exit nth_replace_string split append range compile len read ConfigParser mean append float sum int list write exit map float split append sections read list add_section ConfigParser remove_section set sections append keys range values len ConfigParser read list set list write exit any sections keys read ConfigParser exit check_cfg_fields expand_section open rstrip strtobool values open run_shell str list sorted parse_model_field len exit create_block_diagram append sum range replace check_consistency_with_proto parse_fea_field sections join items parse_lab_field int read write split findall makedirs write sections exit append range len strtobool max open str check_cfg list exit log10 ceil append range write_cfg_chunk expand_str_ep format replace close get_all_archs float keys int items write split compute_n_chunks len __add__ max open seed str sorted list map log10 reverse writelines ceil append split_chunks range format parse_fea_field close shuffle int cfg_item2sec split len add_section str list sorted remove_section append range replace check_consistency_with_proto ConfigParser glob remove_option keys int read join items cfg_item2sec findall len sorted write exit sub append split write exit sub append split glob int sorted format read list replace ConfigParser len write exit findall float range append open list str list index append range len run_shell str read list remove replace create_block_connection ConfigParser findall append list replace strtobool len map cfg_item2sec findall range append split list replace strtobool len map cfg_item2sec findall range append split strtobool list keys strtobool int list max append keys NLLLoss list out_dim strtobool nn_class set DataParallel import_module getattr eval train cuda list strtobool map SGD Adam RMSprop parameters float keys split list view float mean shape long bool keys cat len str list int print write close keys log10 ceil max open int write float round flush str asarray ndarray readlines makedirs savetxt split append float range len arange axis str use exit ylabel title savefig legend append export_loss_acc_to_txt range plot readlines clear print loadtxt xlabel write amax len find str read list ConfigParser set keys int write extend exit append float split range with_glorot | xpz123/pytorch-kaldi | 4,158 |
xrndai/DeepDayTrade | ['stock price prediction'] | ['Neural networks for stock price prediction'] | stock_mlp.py | xrndai/DeepDayTrade | 4,159 |
xuanqing94/BayesianDefense | ['adversarial defense'] | ['Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network'] | datasets/mk_subimgnet.py main_adv_vi.py attacker/cw.py models/aaron_vi.py models/vgg_rse.py models/aaron.py models/layers/batchnorm2d.py main_plain.py main_adv.py snr_density.py models/vgg_vi.py main_vi.py models/layers/feat_noise.py acc_under_attack.py models/layers/linear.py test.py main_rse.py models/layers/conv2d.py transfer_attack.py attacker/linf_sgd.py models/layers/weight_noise.py datasets/mk_subimgnet_val.py models/vgg.py models/aaron_rse.py utils/loss.py attacker/pgd.py distance ensemble_inference train test get_beta train test train test train test get_beta train test extract_param MyLinear get_model ensemble_inference cw Linf_SGD L2_PGD Linf_PGD read_f read_f Aaron Aaron Aaron VGG VGG VGG RandBatchNorm2d RandConv2d Noise RandLinear IdFn NoiseFn elbo get_beta size cuda size view item max_norm criterion backward print step zero_grad Linf_PGD net steps enumerate eval model_out save state_dict elbo get_beta len children print tolist extend __name__ Aaron Tiny load VGG DataParallel eval load_state_dict cuda view backward print step zero_grad Adam training range requires_grad_ eval sum cuda net Linf_SGD backward zero_grad training range copy_ requires_grad_ eval clamp_ train step net sum view backward size min zero_grad Adam training range copy_ requires_grad_ eval sqrt clamp_ train step cuda net append int open split min cross_entropy | xuanqing94/BayesianDefense | 4,160 |
xuberance137/styleflow | ['style transfer'] | ['A Neural Algorithm of Artistic Style', 'Deep Photo Style Transfer'] | stylize.py deep_dream_viz.py neural_transfer.py neural_style.py conv_filter_viz.py tf_gpu_test.py vgg.py tf_gradient_test.py parse_and_set_arguments deprocess_image generate_filter_viz resize_img construct_loss gradient_ascent deprocess_image save_img generate_dream parse_and_set_arguments preprocess_image main imread build_parser imsave deprocess_image Evaluator gram_matrix eval_loss_and_grads content_loss total_variation_loss parse_and_set_arguments preprocess_image style_loss stylize _tensor_size _pool_layer _conv_layer unprocess preprocess net initial_filter_id add_argument layer_name ArgumentParser parse_args astype clip function deprocess_image random output mean iterate append range copy deprocess_image imwrite copy expand_dims preprocess_input img_to_array load_img reshape transpose function variable dict shape cast input prod generate_gradients print range resize_img function gradient_ascent print tuple variable save_img output copy dict shape cast input prod range append add_argument ArgumentParser content initial stylize checkpoint_output imresize network error imsave output shape style_blend_weights width parse_args imread sum build_parser range len float astype dstack uint8 astype int base_image_path size style_reference_image_path style_weight result_prefix iter content_weight tv_weight dot transpose batch_flatten permute_dimensions gram_matrix square reshape astype f_outputs Graph shape range len _pool_layer relu reshape transpose _conv_layer mean loadmat enumerate conv2d constant | xuberance137/styleflow | 4,161 |
xucong-zhang/ETH-XGaze | ['gaze estimation'] | ['ETH-XGaze: A Large Scale Dataset for Gaze Estimation under Extreme Head Pose and Gaze Variation'] | normalization_example.py modules/__init__.py demo.py head_pose.py trainer.py modules/resnet.py config.py utils.py main.py data_loader.py model.py add_argument_group get_config str2bool get_test_loader GazeDataset get_train_loader estimateHeadPose normalizeData_face draw_gaze PnPHeadPoseEstimator HeadPoseEstimator landmarks_to_eos run gaze_network normalizeData_face vector_to_pitchyaw draw_gaze normalizeData Trainer vector_to_pitchyaw AverageMeter angular_error pitchyaw_to_vector conv1x1 resnext50_32x4d wide_resnet50_2 ResNet resnet50 resnext101_32x8d Bottleneck resnet152 wide_resnet101_2 conv3x3 _resnet resnet34 resnet18 BasicBlock resnet101 append parse_known_args print join DataLoader GazeDataset print join DataLoader GazeDataset solvePnP LINE_AA arrowedLine tuple COLOR_GRAY2BGR cos astype int32 sin cvtColor T norm reshape inv perspectiveTransform dot cross warpPerspective array append str Landmark enumerate sorted seed use_gpu get_train_loader batch_size data_dir test Trainer get_test_loader is_train manual_seed train arctan2 reshape divide empty arcsin shape T norm reshape inv dot cross append warpPerspective array multiply empty cos sin norm multiply divide sum clip ResNet load_state_dict load_state_dict_from_url | xucong-zhang/ETH-XGaze | 4,162 |
xuhongzhi/ParaMA | ['information retrieval', 'text generation'] | ['Unsupervised Morphology Learning with Statistical Paradigms'] | segmentation.py paradigm.py evaluation.py suffixcandidate.py coling2018.py bayesian.py main.py pruning.py morphanalyzer.py segcandidate.py param.py reliableroot.py do_step1_segmention feature calc_seg_probs calc_seg_prob estimate_suffix_probability get_initial_parameters run_english read_word_freq_list run_experiment run_turkish run_finnish read_test_gold add_test_to_train eval_seg_morphemes get_best_seg evaluate_seg get_seg_points eval_last_morphemes get_seg_morphemes eval_seg_points calc_performance read_word_freq_list save_segmentations run MorphAnalyzer get_single_suffix_tuples get_paradigm_suffix_sets stats_single_suffix_type_freq filter_rare_suffix_from_suffix_set filter_suffix_tuple stats_suffix_sets create_paradigms get_reliable_suffix_tuples discover_maximal_paradigm Parameter prune_paradigms prune_suffix_tuple get_suffix_type_score is_reliable_root get_morph_dict TokenAnalyzer SegStructure get_seg_dict_by_paradigms seg_dict_update get_seg_dict_by_token_dict gen_suf_cand_by_stem_len filter_afxes calc_expected_stem_len filter_afx_by_freq calc_suf_score_by_dist gen_N_best_suffix group_afx_by_length suffix values feature root sum trans len root feature suffix trans append calc_seg_prob sorted token append calc_seg_prob items list sum values int close open append split join print tuple strip close open append split dict segment_token_list read_word_freq_list print MorphAnalyzer evaluate_seg read_test_gold train add_test_to_train len Parameter run_experiment Parameter run_experiment Parameter run_experiment append range len len get_seg_points set join print get_seg_points set range len append range len set get_seg_morphemes range calc_performance len range calc_performance len print eval_seg_points eval_seg_morphemes eval_last_morphemes join close write open segment_token_list read_word_freq_list list print MorphAnalyzer save_segmentations zip train suffix append morph root token trans append items list set append items list append tuple sorted items list len items list len get_single_suffix_tuples stats_single_suffix_type_freq filter_rare_suffix_from_suffix_set filter_suffix_tuple stats_suffix_sets items list len sorted min extend set append range len int sorted list items print tuple copy set prune_suffix_tuple append len len append pop list append keys range len update items list tuple sum items list get_seg_dict_by_token_dict items list sum values append items list len max range len append log10 range items list sorted calc_expected_stem_len min dict max len items sorted list print calc_expected_stem_len extend group_afx_by_length gen_suf_cand_by_stem_len filter_afxes | xuhongzhi/ParaMA | 4,163 |
xuhongzuo/EMAC_SCAN | ['outlier detection'] | ['Embedding-Based Complex Feature Value Coupling Learning for Detecting Outliers in Non-IID Categorical Data'] | SCAN.py Data.py GraphUtils.py Utils.py main.py Data Graph alias_draw alias_setup get_sorted_index generate_graph evaluation pop len append zeros enumerate int rand floor len append sort range len str add_edge Graph range len precision_recall_curve roc_auc_score auc | xuhongzuo/EMAC_SCAN | 4,164 |
xuhongzuo/MIX | ['outlier detection', 'anomaly detection'] | ['MIX: A Joint Learning Framework for Detecting Both Clustered and Scattered Outliers in Mixed-Type Data'] | DataLoader.py Utils.py DeepAutoEncoder.py main.py MIX.py DeepAutoEncoder main fit_prime cate_od init_nume_od init_cate_scoring fit ae_od get_normal_data ensemble_scores init_cate_scoring_jit Data mat2csv get_sorted_index shuffle normalise onehot_mixed2nume counter downsample_data get_mixed_data get_rank discretise kdd99_preprocess2 get_five_number_summary time format print data_prepare close average DataLoader open data_name list_of_class zeros std range roc_auc_score fit value_frequency_list data_name ensemble_scores roc_auc_score all_features_num DeepAutoEncoder init_nume_od list objects_num len list_of_class format nume_features_num init_cate_scoring nume_data set cate_od time print cate_features_num ae_od get_normal_data cate_data init_cate_scoring_jit value_frequency_list data_name ensemble_scores roc_auc_score DeepAutoEncoder all_features_num init_nume_od objects_num list_of_class format nume_features_num init_cate_scoring nume_data cate_od time print cate_features_num ae_od get_normal_data cate_data init_cate_scoring_jit zeros shape range len zeros shape range len average zeros abs std enumerate get_sorted_index int train_model Data format print reshape test_model average shape zeros next_batch std range enumerate zeros shape median array range enumerate get_rank len reshape loadmat hstack to_csv DataFrame array sum array arange len print read_csv Counter columns format replace print min to_csv copy shape startswith range max read_csv drop str columns insert reshape to_csv range fit_transform read_csv drop get int str shuffle Counter to_csv range read_csv values drop str columns print insert to_csv Counter DataFrame array read_csv columns print insert min to_csv drop average array startswith zeros max read_csv enumerate append sort range len argsort zeros range max remove sort tolist min floor append median array len | xuhongzuo/MIX | 4,165 |
xuhuifan/SDREM | ['link prediction', 'data augmentation'] | ['Scalable Deep Generative Relational Model with High-Order Node Dependence'] | upload_version.py utility_old.py initialize_model CRT_sample sDGRM_class load_data_fan load_data_cold_start positive_poisson_sample int ones sort astype copy choice shape len int ones astype copy choice shape range rvs sum T fill_diagonal arange ones reshape astype dot zeros positive_poisson_sample range len exp arange cumsum choice max log | xuhuifan/SDREM | 4,166 |
xusongpei/crnn-ctc | ['optical character recognition', 'scene text recognition'] | ['An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition'] | tools/train_crnn_ctc.py data/create_synth90k_tfrecord.py crnn_model/model.py tools/inference_crnn_ctc.py tools/eval_crnn_ctc.py tools/create_crnn_ctc_tfrecord.py CRNNCTCNetwork _string_to_int _int64_feature _write_tfrecord _convert_dataset _bytes_feature main _string_to_int _int64_feature _write_tfrecord _convert_dataset _bytes_feature main _sparse_matrix_to_list _int_to_string _read_tfrecord main _eval_crnn_ctc main _sparse_matrix_to_list _int_to_string _inference_crnn_ctc _sparse_matrix_to_list _int_to_string _read_tfrecord _train_crnn_ctc main load char_map_json_file append open data_dir join makedirs load int char_map_json_file len shuffle shuffle_list _write_tfrecord validation_split_fraction open _convert_dataset load join list _int_to_string ones char_map_json_file dense_shape len indices append keys enumerate values open load list char_map_json_file keys open read TFRecordReader string_input_producer float32 set_shape cast int32 parse_single_example decode_jpeg ctc_beam_search_decoder batch_size model_dir Saver open _read_tfrecord data_dir placeholder latest_checkpoint char_map_json_file tf_record_iterator ConfigProto CRNNCTCNetwork batch load join float32 sparse_placeholder int32 _eval_crnn_ctc load ctc_beam_search_decoder latest_checkpoint char_map_json_file placeholder model_dir Saver int32 CRNNCTCNetwork open _inference_crnn_ctc ctc_beam_search_decoder localtime model_dir Saver exponential_decay open decay_rate str _read_tfrecord data_dir ctc_loss decay_steps get_collection merge_all placeholder strftime cast format char_map_json_file create_global_step ConfigProto CRNNCTCNetwork batch load join time learning_rate float32 sparse_placeholder edit_distance reduce_mean UPDATE_OPS int32 global_variables_initializer scalar makedirs _train_crnn_ctc | xusongpei/crnn-ctc | 4,167 |
xuuuluuu/Aspect-Sentiment-Classification | ['sentiment analysis', 'aspect based sentiment analysis', 'extract aspect'] | ['Aspect Based Sentiment Analysis with Aspect-Specific Opinion Spans'] | util.py data_reader_general.py Layer.py models/__init__.py train_crf_glove.py models/model_batch_crf_glove.py BatchLinearChainCRF.py LinearChainCrf LongTensor randn log_sum_exp Tensor zeros data_reader data_generator MLSTM sent_split init_ortho SimpleCat evaluate_test adjust_learning_rate save_checkpoint main train argmax_m to_1d to_ind log_sum_exp AverageMeter to_scalar save_checkpoint create_empty_var add_broad argmax log_sum_exp_m biLSTM AspectSent convert_mask_index init_ortho append lower nlp parameters orthogonal_ print param_groups adjust_every lr snapshot_dir save_best_checkpoint state_dict batch_size model clip_grad_norm_ zero_grad adjust_learning_rate save_checkpoint reset_samples clip_norm next range update epoch close data_len if_gpu item int get_ids_samples backward print AverageMeter evaluate_test parameters step dump get_ids_samples reset_samples print squeeze extend eval numpy data_len nonzero f1_score next predict open bestmodel_path ArgumentParser test_path cuda exp_name Adam training valid_path data_generator load_state_dict parse_args if_gpu load join train_path data_reader snapshot_dir add_argument evaluate_test load_data train max join save str append size argmax range exp size range expand append sum log exp size expand stack sum max log transpose expand add_broad clone range len append list range reversed Variable Tensor cuda append numpy len | xuuuluuu/Aspect-Sentiment-Classification | 4,168 |
xuxu116/pytorch-reid-lite | ['person retrieval', 'person re identification'] | ['Beyond Part Models: Person Retrieval with Refined Part Pooling (and a Strong Convolutional Baseline)', 'Spectral Feature Transformation for Person Re-identification'] | train.py input_pipeline/image_data_reader.py input_pipeline/folder_with_feature.py nets/batchnorm.py evaluate/market_evaluate.py nets/FocalLoss.py utils/training_utils.py nets/layers.py input_pipeline/folder.py nets/dcgan.py evaluator.py utils/model_utils.py input_pipeline/samplers.py nets/model_main.py evaluate/msmt_evaluate.py nets/resnet.py nets/nets_factory.py evaluate main _get_optimizer train _run_train_loop run_eval _softmax _evaluate _feature_refine _extract_feature _get_id MarketDataLoader _compute_mAP main MSMTDataLoader run_eval _evaluate _extract_feature _get_id _compute_mAP main DatasetFolder find_classes make_dataset ImageFolder accimage_loader default_loader has_file_allowed_extension pil_loader DatasetFolder find_classes make_dataset accimage_loader default_loader has_file_allowed_extension ImageFolderWithFeature pil_loader init_data_loader AddGaussianNoise _init_transforms RandomErasing TripletSampler create_pids2idxs BatchNorm1d BatchNorm2d _BatchNorm BatchNorm3d SpectralNorm l2normalize Generator Discriminator calc_gradient_penalty FocalLoss MarginInnerProduct TripletLoss feature_erasing weights_init_kaiming Pcb ft_net weights_init_classifier weights_init_kaiming spectrual_transform ResNet resnet50 Bottleneck resnet152 conv3x3 resnet34 resnet18 BasicBlock resnet101 save_and_evaluate restore_model _get_loss_d get_loss_reid get_loss_dict run_iter_adv run_iter_softmax _get_xent_loss run_iter_triplet_loss _compute_batch_acc run_iter_gan get list format run_eval ft_net evaluate_func restore_model DataParallel eval info train cuda range len list map SGD RMSprop Adam parameters info data run_iter_softmax save_and_evaluate iter_fun cuda list view transpose iter next range get param_groups mean eval info keys net run_iter_gan time pow train step len run_eval get_loss_dict _run_train_loop DataParallel cuda exists list StepLR Generator Adam Discriminator range get format ft_net restore_model _get_optimizer info BCELoss len init_data_loader ArgumentParser Popen open basicConfig sub_working_dir parse_args range get SummaryWriter glob copy mkdir info config_path load join remove add_argument split train len norm asarray get_batch concatenate from_numpy cuda predict append int reshape exp dot transpose _softmax setdiff1d _feature_refine dot argsort intersect1d _compute_mAP argwhere append flatten argwhere in1d zeros range len get time _evaluate batch_size endswith _get_id _extract_feature astype ONNXPredictor info get_paths range array zeros len run_eval basename split lower sort join exists join sorted has_file_allowed_extension append expanduser listdir walk exists join _init_transforms ImageFolder DataLoader info ImageFolderWithFeature exists len get RandomErasing Pad RandomRotation ToTensor Compose Resize RandomCrop Normalize RandomHorizontalFlip info append AddGaussianNoise ColorJitter append imgs enumerate view Variable size rand mean netD cuda data normal_ kaiming_normal_ __name__ constant_ shape ones_like int data normal_ __name__ constant_ view transpose mean pow numpy softmax mm max diag load_url ResNet load_state_dict load_url ResNet load_state_dict load_url ResNet load_state_dict load_url ResNet load_state_dict load_url ResNet load_state_dict join format evaluate_func eval save info empty_cache train state_dict load items list replace warn OrderedDict load_state_dict info append keys get list index set randint sum max range len data max mean netD view item sum cls_net loss _compute_batch_acc data zero_grad cuda view FloatTensor fill_ cat detach get _get_loss_d get_loss_reid size randn_like info item calc_gradient_penalty backward netG step get _get_loss_d get_loss_reid view backward fill_ size _get_xent_loss zero_grad netG _compute_batch_acc info step cuda net detach time backward _get_xent_loss zero_grad tri_loss save_and_evaluate _compute_batch_acc info append float step net add_scalar time backward _get_xent_loss zero_grad tri_loss save_and_evaluate _compute_batch_acc item info float step net add_scalar get TripletLoss info FocalLoss CrossEntropyLoss | xuxu116/pytorch-reid-lite | 4,169 |
xwjim/DocRE-Rec | ['relation extraction', 'relation classification'] | ['DocRED: A Large-Scale Document-Level Relation Extraction Dataset', 'Document-Level Relation Extraction with Reconstruction'] | models/decoder.py train.py config/dataloader.py config/__init__.py config/Config.py models/level_transform.py gen_data.py models/__init__.py models/graph.py models/dyngraph.py models/BiLSTM.py gen_graph_data.py sents_2_idx init GraphPredeal cirle_reader init str2bool Config Metrics Logger roc_cal reader cirle_reader GraphForm MetaPathfinder SelfData is_label_select PathObj EncoderLSTM LockedDropout Decoder EmbedLayer GraphLayer GraphReasonLayer DynGraphLayer GraphAttentionLayer GraphMultiHeadAttention ScaledDotProductAttention DualAttention GraphGateLayer MultiHeadSelfAttention sent2doc split_graph_type mergy_token graph2doc doc_entity_mask span_embed_layer doc2graph mergy_token_max doc2sent list len append range enumerate sents_2_idx save max open list add append range get dump set lower enumerate load join int print zeros len append GraphPredeal min GraphForm MetaPathfinder zeros form_path range len time format min lower argmax arange cumsum sum max len reader defaultdict min append zeros range len arange concatenate index where ravel shape zip meshgrid zeros sum full einsum div unsqueeze float broadcast_tensors zeros_like unsqueeze masked_fill float cuda range broadcast_tensors cuda range zeros_like pad_sequence mergy_token div unsqueeze append sum cuda range cat pad_sequence extend zeros sum array range list cumsum pad_sequence append range cat split zeros_like where matmul unsqueeze float broadcast_tensors lt clone unsqueeze type_embed ge sum broadcast_tensors | xwjim/DocRE-Rec | 4,170 |
xxshdw/auto_prune | ['network pruning'] | ['AutoPrune: Automatic Network Pruning by Regularizing Auxiliary Parameters'] | vgg/utils.py vgg/models.py vgg/vgg_neuron.py vgg/layers.py LeNet_kernel.py LeNet_neuron.py vgg/vgg_weight.py cleaning/mobilenet.py binarize binarize_cnn Multi_layer_fc sign_grad Multi_layer_CNN binarize binarize_cnn Multi_layer_fc sign_grad Multi_layer_CNN sign_grad MaskLayer binarize_neuron binarize MaskConv MaskDense sign_grad build_vgg_weight_model build_vgg_neuron_model normalize_production normalize main main get_default_graph get_default_graph len len append multiply binarize get_default_graph MaskConv Sequential add MaxPooling2D MaskDense Activation BatchNormalization Flatten Dropout MaskLayer Sequential add Dense MaxPooling2D Conv2D Activation BatchNormalization Flatten Dropout mean std prob reset_default_graph list softmax_cross_entropy_with_logits_v2 map placeholder reduce_sum lamda_sparse_fc cast sum lamda_l1 build_vgg_neuron_model lamda_sparse_cnn vgg ImageDataGenerator lamda_l2 minimize float32 reduce_mean global_variables_initializer gpu n_ratio build_vgg_weight_model apply_gradients zip AdamOptimizer | xxshdw/auto_prune | 4,171 |
xxxnhb/few-shot-gnn | ['few shot learning', 'active learning'] | ['Few-Shot Learning with Graph Neural Networks'] | data/__init__.py test.py data/omniglot.py data/parser.py utils/io_utils.py data/generator.py models/__init__.py models/gnn_iclr.py main.py data/mini_imagenet.py models/models.py train adjust_learning_rate _init_ train_batch test_one_shot Generator MiniImagenet Omniglot get_image_paths Wcompute gmul GNN_nl_omniglot Gconv GNN_nl GNN_active EmbeddingImagenet create_models load_model EmbeddingOmniglot MetricNN SoftmaxModule IOStream system exp_name makedirs LongTensor backward Variable forward nll_loss metric_nn numpy argmax cuda get_task_batch batch_size train_batch zero_grad SoftmaxModule test_one_shot iterations adjust_learning_rate dataset_root save cuda exp_name str create_models load_model Generator Adam range format print cprint parameters step param_groups int dec_lr argmax int get_task_batch format Variable Generator cprint IOStream metric_nn batch_size_test eval numpy dataset_root train forward cuda range exp_name join filter append walk split bmm size squeeze cat split load cprint print EmbeddingImagenet dataset EmbeddingOmniglot | xxxnhb/few-shot-gnn | 4,172 |
xyz-zy/xdomain-temprel | ['relation extraction'] | ['Effective Distant Supervision for Temporal Relation Extraction'] | beforeafter/filter_xml.py udst/get_UDST_data.py udst/get_ud_data.py udst/parse_udst.py timebank/examples.py train.py beforeafter/filter_gz.py interpret.py metrics.py modeling.py beforeafter/distant.py utils.py timebank/timeml.py constants.py uda/prune.py uda/ne.py beforeafter/process_tree.py test.py predict.py load_data.py eval.py uda/uda.py get_data eval_on_data eval Attributor summarize_attributions save_viz matres_dev_examples matres_test_examples get_train_data distant_test_examples distant_train_examples matres_examples distant_parsed_examples filter_distant_source _distant_parsed_examples udst get_beforeafter_examples matres_train_examples udst_majority beforeafter_examples get_metrics faware get_class_metrics accuracy print_confusion_matrix precision count_labels plot_confusion_matrix get_fine_metrics f1 recall output_results BertForTBD BertForMatres make_tensor_dataset get_tensors InputFeatures BertForTRC RobertaForMatres load_model_and_tokenizer ElectraForMatres load_model_from_directory get_dummy_data get_data main predict check_source test_load_udst_dev examples_to_csv count_distant_events test_beforeafter_mask test_load_udst_train test_load_beforeafter_yelp test_load_udst_maj load_exs_data_from_model test_load_distant_parsed add_count test_load_matres_dev test_load_distant_test test_load_udst_test_maj_conf_nt test_load_udst_dev_maj_conf_nt count_sources sorted_out count_labels test_load_matres_test test_load_distant_train test_load_matres_train test_load_beforeafter_gigaword train IndexedExamplePartial generate_timex_mask InputFeatures apply_random_mask_to_sentence generate_explicit_mask apply_random_mask ExampleWithEmbeddings count_labels convert_examples_to_features get_rel_parent match_pattern get_relation get_child_vp get_verb get_token_position Example main get_parent_vp write filter_file main trees_to_out get_next_tree get_label process_trees main process_tree ExampleLoader MatresLoader TBDenseLoader TimeMLFile Tlink TimeMLExample EventInstance TimeX3 Event NEReplacer Pruner get_relation check_short_cut get_data_dict get_consistent_annotations get_event_obj get_event_tempinfo check_tie_annotation get_majority_relation time_annotations_to_data get_equivalence_group render_events_tree split_12_by_25 save_data v1_2_ud_annotations_to_data v2_5_ud_annotations_to_data get_tok_charstart UdsExample Doc Event get_examples get_majority_examples get_data eval_on_data eval Attributor summarize_attributions save_viz matres_dev_examples matres_test_examples get_train_data distant_test_examples distant_train_examples matres_examples distant_parsed_examples filter_distant_source _distant_parsed_examples udst get_beforeafter_examples matres_train_examples udst_majority beforeafter_examples get_metrics faware get_class_metrics accuracy print_confusion_matrix precision count_labels plot_confusion_matrix get_fine_metrics f1 recall output_results BertForTBD BertForMatres make_tensor_dataset get_tensors InputFeatures BertForTRC RobertaForMatres load_model_and_tokenizer ElectraForMatres load_model_from_directory get_dummy_data get_data main predict check_source test_load_udst_dev examples_to_csv count_distant_events test_beforeafter_mask test_load_udst_train test_load_beforeafter_yelp test_load_udst_maj load_exs_data_from_model test_load_distant_parsed add_count test_load_matres_dev test_load_distant_test test_load_udst_test_maj_conf_nt test_load_udst_dev_maj_conf_nt count_sources sorted_out count_labels test_load_matres_test test_load_distant_train test_load_matres_train test_load_beforeafter_gigaword train IndexedExamplePartial generate_timex_mask InputFeatures apply_random_mask_to_sentence generate_explicit_mask apply_random_mask ExampleWithEmbeddings count_labels convert_examples_to_features get_rel_parent match_pattern get_relation get_child_vp get_verb get_token_position Example main get_parent_vp write filter_file main trees_to_out get_next_tree get_label process_trees process_tree ExampleLoader MatresLoader TBDenseLoader TimeMLFile Tlink TimeMLExample EventInstance TimeX3 Event NEReplacer Pruner get_relation check_short_cut get_data_dict get_consistent_annotations get_event_obj get_event_tempinfo check_tie_annotation get_majority_relation time_annotations_to_data get_equivalence_group render_events_tree split_12_by_25 save_data v1_2_ud_annotations_to_data v2_5_ud_annotations_to_data get_tok_charstart UdsExample Doc Event get_examples get_majority_examples matres_dev_examples matres_test_examples distant_test_examples gigaword_examples print get_train_data exit udst count_labels udst_majority get_metrics load_model_and_tokenizer print to tuple lm tqdm get_data DataLoader SequentialSampler output_results int epoch sorted list str iglob print close mask eval append keys open append join squeeze norm load list make_tensor_dataset endswith print distant_train_examples len udst sample matres_train_examples range beforeafter_examples open int glob print min len print make_tensor_dataset convert_examples_to_features get_beforeafter_examples MatresLoader read_train_dev_examples matres_examples make_tensor_dataset convert_examples_to_features matres_examples make_tensor_dataset convert_examples_to_features read_test_examples make_tensor_dataset MatresLoader convert_examples_to_features int load make_tensor_dataset apply_random_mask filter_distant_source _distant_parsed_examples convert_examples_to_features open load make_tensor_dataset convert_examples_to_features open sorted print glob set make_tensor_dataset print apply_random_mask _distant_parsed_examples convert_examples_to_features make_tensor_dataset convert_examples_to_features get_examples make_tensor_dataset convert_examples_to_features get_majority_examples zip zip zip recall precision join items print zip range len precision print get_class_metrics accuracy mean precision f1 recall len print join sum confusion_matrix join max format subplots print text get_xticklabels Blues confusion_matrix colorbar set tight_layout imshow setp sum array range get_metrics print index plot_confusion_matrix zip append enumerate DataFrame to_csv tensor TensorDataset tensor from_pretrained IndexedExamplePartial make_tensor_dataset convert_distant_examples_to_features split get_dummy_data print from_pretrained startswith tuple tqdm eval DataLoader to SequentialSampler load_model_from_directory get_data predict device lower load open items list dump sort open sorted_out add_count DataFrame to_csv udst_majority udst udst udst udst matres_train_examples matres_dev_examples matres_test_examples distant_train_examples distant_test_examples distant_parsed_examples beforeafter_examples beforeafter_examples convert_examples_to_features get_beforeafter_examples data serialize model get_linear_schedule_with_warmup tuple zero_grad DataLoader device open str list get_train_data len exit device_count TensorDataset append chain to range cat dump tensors save_pretrained zip trange load_model_and_tokenizer enumerate int backward print AdamW num_examples RandomSampler named_parameters tqdm count_labels step makedirs convert_ids_to_tokens tags2 encode_plus str mask_token list generate_timex_mask generate_explicit_mask from_iterable append tags1 InputFeatures e1_idx sent2 copy upper label tokenize enumerate sent1 text index len index mask_token copy mask_token copy enumerate randint mask_token copy len sent1 apply_random_mask_to_sentence e1_idx e2_idx sent2 copy randrange append startswith isinstance parent deque popleft append parent isinstance get_rel_parent get_child_vp get_verb get_token_position get_parent_vp subtrees match_pattern print leaves sentence get_relation glob print fromstring BeautifulSoup string find_all open to_json tabulate append len min len basename list basename trees_to_out replace iglob text findAll fromstring __str__ get_relation readline print basename get_label exists process_trees makedirs deque popleft append defaultdict popleft add set deque append append range len int unescape split int float defaultdict all list sorted defaultdict keys solve_event_graph str defaultdict glob print get_data_dict tqdm get_majority_relation rel_score zip append preserve_all_anns enumerate items list edge Digraph render print exit append find save_data save_data append join get_tok_charstart save_data load examples extend Doc append open load extract_majority_examples extend Doc append open | xyz-zy/xdomain-temprel | 4,173 |
xz-group/AdverseDrive | ['autonomous driving'] | ['Attacking Vision-based Perception in End-to-End Autonomous Driving Models'] | carla/driving_benchmark/experiment.py carla/driving_benchmark/experiment_suites/adversary_suite.py carla/driving_benchmark/experiment_suites/basic_experiment_suite.py carla/client.py carla/planner/planner.py carla/driving_benchmark/metrics.py carla/agent/agent.py carla/driving_benchmark/__init__.py carla/driving_benchmark/experiment_suites/__init__.py carla/driving_benchmark/experiment_suites/experiment_suite.py carla/planner/grid.py carla/planner/city_track.py carla/driving_benchmark/driving_benchmark.py utils.py carla/planner/converter.py start_hijacking_experiments.py carla/planner/map.py carla/agent/forward_agent.py carla/driving_benchmark/recording.py carla_env.py carla/image_converter.py carla/planner/astar.py carla/transform.py imitation/imitation_learning.py carla/settings.py carla/util.py carla/carla_server_pb2.py carla/planner/graph.py imitation/imitation_learning_network.py carla/tcp.py start_infraction_experiments.py carla/agent/__init__.py carla/sensor.py adversary_generator.py carla/driving_benchmark/experiment_suites/corl_2017.py carla/driving_benchmark/results_printer.py carla/driving_benchmark/experiment_suites/dac_2018.py AdversaryGenerator CarlaEnv target target plot_trajectories make_carla_client _make_sensor_parsers CarlaClient labels_to_cityscapes_palette to_bgra_array depth_to_array depth_to_logarithmic_grayscale depth_to_local_point_cloud to_rgb_array labels_to_array Image Lidar SensorData Camera LidarMeasurement _append_extension Sensor PointCloud CarlaSettings TCPConnectionError TCPClient Transform make_connection print_over_same_line to_hex_str StopWatch Agent ForwardAgent sldist DrivingBenchmark run_driving_benchmark Experiment Metrics Recording print_summary AdversarySuite BasicExperimentSuite CoRL2017 DAC2018 ExperimentSuite AStar Cell CityTrack Converter string_to_floats sldist Graph sldist3 string_to_node Grid angle_between CarlaMap color_to_angle sldist angle_between Planner signal compare ImitationLearning load_imitation_learning_network bias_variable weight_xavi_init Network weight_ones append step subplots axis convert_to_pixel max list ylabel imshow title scatter legend append CarlaMap imread range update plot minimum items set_size_inches xlabel min maximum len error type SensorDefinition reshape frombuffer raw_data to_bgra_array zeros list labels_to_array items dot astype float32 to_bgra_array depth_to_array ones log shape clip tan height depth_to_array reshape inv identity pi where delete dot width fov array connect client_type columns write max flush len items list print zip zeros range len split split constant get_variable constant conv_block print reshape concat fc_block shape range Network len | xz-group/AdverseDrive | 4,174 |
xzhangfox/ANALYSE-AND-CLASSIFY-MUSIC-BY-LYRICS | ['sentiment analysis', 'graph generation'] | ['Natural Language Processing for Music Knowledge Discovery'] | aux_bisect.py find_index insert_ordered insert_in_position bisect_left insert insert_in_position bisect_left | xzhangfox/ANALYSE-AND-CLASSIFY-MUSIC-BY-LYRICS | 4,175 |
y0ast/deterministic-uncertainty-quantification | ['out of distribution detection'] | ['Uncertainty Estimation Using a Single Deep Deterministic Neural Network'] | train_duq_cifar.py utils/evaluate_ood.py utils/datasets.py utils/resnet_duq.py utils/wide_resnet.py utils/cnn_duq.py train_deep_ensemble.py train_duq_fm.py main ResNet train test main train_model Model SoftmaxModel CNN_DUQ get_notMNIST FastFashionMNIST get_MNIST get_CIFAR10 get_SVHN get_FashionMNIST NotMNIST get_auroc_classification get_auroc_ood get_fashionmnist_mnist_ood prepare_ood_datasets get_cifar_svhn_ood loop_over_dataloader get_fashionmnist_notmnist_ood ResNet_DUQ WideBasic WideResNet model backward print zero_grad tqdm mean item loss_fn step cuda append enumerate format print eval dataset len SGD ModuleList MultiStepLR DataLoader ArgumentParser save seed step append parse_args range state_dict nll_loss test mkdir manual_seed enumerate print add_argument parameters train epochs binary_cross_entropy WideResNet Loss cuda run list ResNet_DUQ Average resnet18 SummaryWriter Accuracy shuffle ProgressBar close attach int Engine Subset Conv2d Identity transform len list FastFashionMNIST binary_cross_entropy Engine shuffle Subset SGD Loss parameters attach MultiStepLR DataLoader ProgressBar Accuracy cuda range CNN_DUQ run MNIST Compose FashionMNIST Compose Compose SVHN Compose CIFAR10 Compose NotMNIST transform DataLoader cat ConcatDataset eval concatenate loop_over_dataloader mean prepare_ood_datasets roc_auc_score mean DataLoader loop_over_dataloader roc_auc_score get_CIFAR10 get_SVHN get_MNIST get_FashionMNIST get_notMNIST get_FashionMNIST | y0ast/deterministic-uncertainty-quantification | 4,176 |
yahoo/crow | ['image retrieval'] | ['Cross-dimensional Weighting for Aggregated Deep Convolutional Features'] | evaluate.py crow.py extract_features.py extract_queries.py run_feature_processing_pipeline save_spatial_weights_as_jpg compute_crow_spatial_weight normalize compute_crow_channel_weight apply_ucrow_aggregation apply_crow_aggregation run_eval fit_whitening get_nn get_ap simple_query_expansion load_features load_and_aggregate_features format_img_for_vgg load_img extract_raw_features query_images sum count_nonzero shape zeros float sum enumerate compute_crow_channel_weight sum compute_crow_spatial_weight transform normalize PCA fit_transform join str toimage save resize argsort sum len load join write listdir flush enumerate str print load_features append agg_fn join read remove name makedirs close NamedTemporaryFile writelines open load_and_aggregate_features print run_feature_processing_pipeline get_nn run_feature_processing_pipeline get_ap vstack qe_fn load_features load_and_aggregate_features append agg_fn size new paste open array reshape forward join list replace iglob map split crop open | yahoo/crow | 4,177 |
yalesong/pvse | ['multiple instance learning', 'video text retrieval', 'cross modal retrieval'] | ['Polysemous Visual-Semantic Embedding for Cross-Modal Retrieval'] | train.py logger.py data/tgif/gulp_tgif.py loss.py data.py eval.py video_transforms.py data/mrw/download_gulp_mrw.py option.py vocab.py model.py get_loaders TGIFDataset CocoDataset get_transform get_image_transform get_uid_tgif get_loader_single get_test_loader collate_fn MRWDataset get_paths get_video_transform i2t encode_data convert_old_state_dict t2i evalrank LogCollector AverageMeter cosine_sim PVSELoss l2norm order_sim rbf EncoderImage get_cnn l2norm EncoderVideo PIENet PVSE get_pad_mask EncoderText MultiHeadSelfAttention verify_input_args validate train get_description copy_input_args_from_ckpt main lock_and_write_to_file update_best_score save_ckpt ToPILImage CenterCrop RandomRotation ToTensor RandomApply RandomCrop RandomChoice RandomAffine RandomTransforms TenCrop Resize RandomResizedCrop RandomHorizontalFlip FiveCrop RandomGrayscale Pad Lambda Compose RandomVerticalFlip Normalize Grayscale RandomSizedCrop Scale LinearTransformation RandomOrder ColorJitter from_mrw_json Vocabulary from_txt from_tgif_tsv main build_vocab from_coco_json download_videos url_is_alive verify_downloaded_videos _download_video GulpMRWAdapter retrieve_nfrms_from_gulp get_uid GulpTGIFAdapter retrieve_nfrms_from_gulp load join list sort stack zip tensor long enumerate CocoDataset TGIFDataset MRWDataset DataLoader Compose Normalize Compose Normalize join get_transform data_path get_loader_single data_name get_paths join get_transform data_path data_name get_paths eval is_available zeros forward cuda enumerate flatten numpy floor max cuda view order_sim shape append range size mean int reshape contiguous min sort t median mm len median numpy floor max cuda view order_sim shape range size mean stack int T sort contiguous min t zeros mm array len items list replace state_dict enumerate i2t encode_data format print tuple flatten get_test_loader eval_on_gpu t2i range size expand sqrt norm is_available unsqueeze cuda val_metric format ckpt print exit dirname logger_name log_file makedirs setattr format warning copyfile format save info clip_grad_norm_ zero_grad log_file forward log list ceil grad_clip lock_and_write_to_file update avg item is_available info enumerate items int criterion backward AverageMeter dict parameters step len i2t encode_data format get_description log_file eval eval_on_gpu t2i info lock_and_write_to_file min max vocab_path validate ckpt verify_input_args get_test_loader ReduceLROnPlateau data_name copy_input_args_from_ckpt update_best_score open exit Adam load_state_dict parse_args save_ckpt range get_loaders PVSELoss word2idx is_available num_epochs load join print parameters PVSE train step load replace enumerate open str list COCO append keys enumerate update join word_tokenize format from_mrw_json Vocabulary print add_word len from_txt Counter lower from_tgif_tsv enumerate from_coco_json makedirs build_vocab Request urlopen print format urlretrieve join close map _download_video Pool join format update GulpDirectory dict start len | yalesong/pvse | 4,178 |
yanemcovsky/SIAM | ['adversarial defense'] | ['Smoothed Inference for Adversarially-Trained Models'] | models/resnet_pni.py logger.py models/resnet_cpni_smooth_expectation_predict.py train.py run.py models/resnet_pni_colored.py attacks/attack.py attacks/pgd_fgsmk.py models/resnet_cpni_smooth_predict.py layers.py run_attack.py run_attack_transfer.py models/resnet_cpni_smooth_logits.py models/resnet_pni_expectation_attack.py attacks/expectation_pgd_fgsmk.py models/resnet_smooth_predict.py models/resnet_cpni_expectation_attack.py attacks/transfer.py attacks/fgsm.py models/resnet_pni_smooth_predict.py util/cross_entropy.py models/resnet.py cifar_data.py get_loaders NoisedLinear NoisedConv2DColored lowrank_multivariate_sample NoisedConv2D CsvLogger gen_attack adv_train test correct save_checkpoint attack train main get_args check_hyper main get_args optimize_hyper check_hyper get_args train_network adv_train_network_alpha adv_train_network main Attack EPGD_FGSMk FGSM PGD_FGSMk Transfer resnet44_cifar resnet110_cifar resnet1202_cifar resnet1001_cifar PreActBasicBlock ResNet_Cifar Bottleneck resnet164_cifar preact_resnet110_cifar resnet20_cifar conv3x3 preact_resnet1001_cifar resnet32_cifar PreActBottleneck BasicBlock resnet56_cifar PreAct_ResNet_Cifar preact_resnet164_cifar resnet44_cifar resnet110_cifar resnet1202_cifar resnet1001_cifar PreActBasicBlock ResNet_Cifar Bottleneck resnet164_cifar preact_resnet110_cifar resnet20_cifar conv3x3 preact_resnet1001_cifar resnet32_cifar PreActBottleneck BasicBlock resnet56_cifar PreAct_ResNet_Cifar preact_resnet164_cifar resnet44_cifar resnet110_cifar resnet1202_cifar resnet1001_cifar PreActBasicBlock ResNet_Cifar Bottleneck resnet164_cifar preact_resnet110_cifar resnet20_cifar conv3x3 preact_resnet1001_cifar resnet32_cifar PreActBottleneck BasicBlock resnet56_cifar PreAct_ResNet_Cifar preact_resnet164_cifar resnet44_cifar resnet110_cifar resnet1202_cifar resnet1001_cifar PreActBasicBlock ResNet_Cifar Bottleneck resnet164_cifar preact_resnet110_cifar resnet20_cifar conv3x3 preact_resnet1001_cifar resnet32_cifar PreActBottleneck BasicBlock resnet56_cifar PreAct_ResNet_Cifar preact_resnet164_cifar resnet44_cifar resnet110_cifar resnet1202_cifar resnet1001_cifar PreActBasicBlock ResNet_Cifar Bottleneck resnet164_cifar preact_resnet110_cifar resnet20_cifar conv3x3 preact_resnet1001_cifar resnet32_cifar PreActBottleneck BasicBlock resnet56_cifar PreAct_ResNet_Cifar preact_resnet164_cifar resnet44_cifar resnet110_cifar resnet1202_cifar resnet1001_cifar PreActBasicBlock ResNet_Cifar Bottleneck resnet164_cifar preact_resnet110_cifar resnet20_cifar conv3x3 preact_resnet1001_cifar resnet32_cifar PreActBottleneck BasicBlock resnet56_cifar PreAct_ResNet_Cifar preact_resnet164_cifar resnet44_cifar resnet110_cifar resnet1202_cifar resnet1001_cifar PreActBasicBlock ResNet_Cifar Bottleneck resnet164_cifar preact_resnet110_cifar resnet20_cifar conv3x3 preact_resnet1001_cifar resnet32_cifar PreActBottleneck BasicBlock resnet56_cifar PreAct_ResNet_Cifar preact_resnet164_cifar resnet44_cifar resnet110_cifar resnet1202_cifar resnet1001_cifar PreActBasicBlock ResNet_Cifar Bottleneck resnet164_cifar preact_resnet110_cifar resnet20_cifar conv3x3 preact_resnet1001_cifar resnet32_cifar PreActBottleneck BasicBlock resnet56_cifar PreAct_ResNet_Cifar preact_resnet164_cifar resnet44_cifar resnet110_cifar resnet1202_cifar resnet1001_cifar PreActBasicBlock ResNet_Cifar Bottleneck resnet164_cifar preact_resnet110_cifar resnet20_cifar conv3x3 preact_resnet1001_cifar resnet32_cifar PreActBottleneck BasicBlock resnet56_cifar PreAct_ResNet_Cifar preact_resnet164_cifar resnet44_cifar resnet110_cifar resnet1202_cifar resnet1001_cifar PreActBasicBlock ResNet_Cifar Bottleneck resnet164_cifar preact_resnet110_cifar resnet20_cifar conv3x3 preact_resnet1001_cifar resnet32_cifar PreActBottleneck BasicBlock resnet56_cifar PreAct_ResNet_Cifar preact_resnet164_cifar _is_long onehot CrossEntropyLoss cross_entropy load RandomSampler DataLoader BatchSampler Normalize dataset SequentialSampler normal format clip_grad_norm_ forward_backward zero_grad write tqdm dataset parameters correct item step enumerate len format clip_grad_norm_ zero_grad write tqdm parameters adv_forward_backward correct linspace set_alpha item train step enumerate len int format generate_sample len write tqdm eval correct dataset enumerate generate_sample tqdm eval append adv_method enumerate int format write eval dataset len type_as eq item expand_as append max predict copyfile join save float64 float16 ArgumentParser save seed str set_device pni strftime mclogits mcepredict results_dir parse_args save_path mceattack CIFAR10 manual_seed join cpni print add_argument float32 randint mcpredict makedirs data workers batch_size SGD MultiStepLR alphad_i modules save dataset abs max argmax str gen_attack noise_list alphaf_w Adam load_state_dict attack append iterations_list sum alphaf_i CrossEntropyLoss range eps format get_loaders save_path alphad_w gen_adv mean resume alpha net enumerate load join learning_rate cpni isdir isinstance print parameters isfile std data workers batch_size SGD MultiStepLR alphad_i modules save dataset abs m_train max gen_attack num_classes alphaf_w Adam load_state_dict attack width noise_sd sum alphaf_i CrossEntropyLoss eps format get_args get_loaders save_path alphad_w gen_adv mean m_test check_hyper_params resume check_hyper alpha net load join learning_rate cpni isdir isinstance print smoothing parameters isfile std data workers batch_size SGD MultiStepLR dataset argmax str adv_train Adam epochs load_state_dict attack append iterations_list sum CrossEntropyLoss range eps format get_loaders start_epoch resume item trange net enumerate load join log_interval learning_rate cpni isdir print isfile step tepgd width update smootht trans optimize_hyper optimize_hyper_params update trans evaluate save_params train_network adv_train_network_alpha val_batch_size adv_data adv argv CsvLogger adv_w zero_start test start_epoch log_interval evaluate adv_train_network epochs plot_progress format write_text print write test mean save_checkpoint modules alpha trange train step save_checkpoint alphad_i modules abs max adv_method plot_progress alphaf_w adv_train alphaf_i format alphad_w test mean alpha trange write_text isinstance write step std plot_progress format write_text concatenate adv_train write test save_checkpoint set_alpha trange step ResNet_Cifar ResNet_Cifar ResNet_Cifar ResNet_Cifar ResNet_Cifar ResNet_Cifar ResNet_Cifar ResNet_Cifar PreAct_ResNet_Cifar PreAct_ResNet_Cifar PreAct_ResNet_Cifar list size scatter_ masked_fill_ unsqueeze zero_ max log_softmax size mean masked_fill_ eq unsqueeze _is_long float sum | yanemcovsky/SIAM | 4,179 |
yanfengliu/layered_embeddings | ['instance segmentation', 'semantic segmentation'] | ['Layered Embeddings for Amodal Instance Segmentation'] | pycocotools/amodaleval.py load_weights.py metrics_hist.py params.py build/lib.win-amd64-3.6/pycocotools/amodal.py build/lib.win-amd64-3.6/pycocotools/amodaleval.py post_processing.py pycocotools/mask.py pycocotools/coco.py mrcnn/config.py deprecated.py build/lib.win-amd64-3.6/pycocotools/cocoeval.py utils.py shapes.py pycocotools/__init__.py experiment.py samples/nucleus/nucleus.py myPyAmodalEvalDemo.py pycocotools/amodal.py build/lib.win-amd64-3.6/pycocotools/mask.py mrcnn/parallel_model.py build/lib.win-amd64-3.6/pycocotools/__init__.py pycocotools/cocoeval.py model.py mrcnn/utils.py samples/balloon/balloon.py samples/shapes/mrcnn_shapes.py build/lib.win-amd64-3.6/pycocotools/coco.py mrcnn/model.py extract_weights.py embedding_model.py datasets.py samples/coco/coco.py mrcnn/visualize.py batchEval.py singleEval main Metric process_str shapes_generator get_batch_image_and_gt get_single_image_and_gt avoid_zero Evaluator semantic_loss single_class_loss L2_norm RNN_mean_shift EmbeddingModel softmax_module embedding_module loss_with_embedding_dim Experiment single_eval get_mrcnn_result_list get_xception_filename get_mobilenetv2_filename extract_tensors_from_checkpoint_file MetricsHist Deeplabv3 preprocess_input BilinearUpsampling relu6 _xception_block SepConv_BN _make_divisible _inverted_res_block _conv2d_same createAmodalAnn filterDtFile createAmodalRegion parse_args evalWrapper ParamsValNonrandom Args ParamsValRandom ParamsTrainRandom ParamsTestNonrandom Params ETH_mean_shift UC_mean_shift ccw_sort get_bezier_curve draw_shapes get_new_shapes get_random_points get_curve draw_ellipse get_n_layer_gt_from_shapes get_rect get_image_from_shapes get_shapes bezier Segment get_random_shapes totuple consecutive_integer add_xy augment_data vector_angle Graph align_instance intersection normalize IoU union Amodal Params AmodalEval COCO Params COCOeval Config fpn_classifier_graph MaskRCNN compose_image_meta rpn_bbox_loss_graph norm_boxes_graph compute_backbone_shapes rpn_class_loss_graph log DetectionTargetLayer shapes_data_generator trim_zeros_graph log2_graph parse_image_meta parse_image_meta_graph data_generator rpn_graph identity_block BatchNorm build_fpn_mask_graph load_image_gt build_rpn_targets resnet_graph unmold_image PyramidROIAlign apply_box_deltas_graph denorm_boxes_graph generate_random_rois detection_targets_graph load_shapes_gt build_detection_targets overlaps_graph mrcnn_bbox_loss_graph conv_block batch_pack_graph ProposalLayer smooth_l1_loss clip_boxes_graph mrcnn_class_loss_graph mrcnn_mask_loss_graph mold_image build_rpn_model DetectionLayer refine_detections_graph ParallelModel build_model compute_ap norm_boxes compute_recall apply_box_deltas compute_overlaps compute_iou resize resize_image box_refinement_graph generate_pyramid_anchors mold_mask generate_anchors compute_ap_range compute_overlaps_masks denorm_boxes unmold_mask download_trained_weights non_max_suppression minimize_mask resize_mask extract_bboxes trim_zeros compute_matches batch_slice expand_mask box_refinement Dataset display_differences draw_box display_images draw_rois draw_boxes apply_mask random_colors display_instances display_table display_weight_stats plot_overlaps plot_precision_recall display_top_masks Amodal Params AmodalEval COCO Params COCOeval detect_and_color_splash BalloonDataset color_splash train BalloonConfig evaluate_coco CocoConfig build_coco_results CocoDataset rle_encode NucleusConfig detect rle_decode NucleusInferenceConfig train mask_to_rle NucleusDataset ShapesConfig ShapesDataset evalWrapper Metric gt_dir Amodal summarize sorted singleEval filterDtFile loadRes append format glob getImgIds outputFile num_shape_per_class join dt_dir small print system process_str get_shapes concatenate BATCH_SIZE SIDE get_single_image_and_gt DOWNSAMPLE_FACTOR zeros range categorical_crossentropy one_hot reshape float32 mean cast int32 concat reduce_max boolean_mask flatten gather ones multiply transpose squeeze reduce_sum matmul cast expand_dims categorical_crossentropy one_hot square mean norm reshape greater divide maximum float32 reduce_mean int32 bool diag exp l2_normalize ones reshape divide matmul eye int_shape range array diag int range len int range len Deeplabv3 SIDE output NUM_FILTER softmax_module Model embedding_module EMBEDDING_DIM input CLASS_NUM decode uint8 format image_ids DATASET_TYPE MRCNN_DATASET encode print float64 astype detect asfortranarray resize DOWNSAMPLE_RESOLUTION load_image range append len USE_GT random USE_SEG resize DOWNSAMPLE_RESOLUTION argmax max ones ETH_mean_shift multiply squeeze imshow title append normalize expand_dims sum fit_transform range CLASS_NUM predict get_shapes format concatenate astype ETH_MEAN_SHIFT_THRESHOLD copy unique EMBEDDING_DIM int uint8 reshape PCA argsort get_single_image_and_gt figure zeros SMALL N_LAYER_GT str replace str replace join NewCheckpointReader get_tensor print get_mobilenetv2_filename get_xception_filename save get_variable_to_shape_map makedirs array format add SepConv_BN _conv2d_same range int max int format _make_divisible get_file format _xception_block get_source_inputs SepConv_BN _make_divisible Model load_weights _inverted_res_block Input _conv2d_same range add_argument ArgumentParser createAmodalAnn load list items print createAmodalRegion enumerate append open sorted evaluate summarize accumulate getImgIds AmodalEval norm exp ones reshape diag transpose divide copy matmul zeros range list time norm ones reshape squeeze copy mean shape take unique zeros expand_dims array range zeros range linspace len concatenate append Segment range len mean arctan2 ccw_sort T atleast_2d arctan arctan2 get_curve f pi roll append diff ccw_sort rand sqrt sum diff get_bezier_curve line NUM_SHAPE_HIGH fillPoly tuple SIDE astype range int32 randint NUM_SHAPE_LOW get_random_points zeros len NUM_SHAPE_PER_CLASS SIDE rand shuffle pi random dot sqrt range append randint round array CLASS_IDS len ellipse dot array pi SIDE draw_shapes DOWNSAMPLE_RESOLUTION resize new append expand_dims sum range asarray copy get_rect unique FULL_GT Draw consecutive_integer polygon zeros get_n_th_mask len SIDE linspace draw_shapes DOWNSAMPLE_RESOLUTION resize multiply new squeeze shape append expand_dims sum range asarray astype copy get_rect unique FULL_GT Draw consecutive_integer polygon zeros len int ellipse totuple line draw_ellipse polygon get_new_shapes USE_GT random XY str RANDOM len get_n_layer_gt_from_shapes CLASS_IDS SAMPLE_CACHE_DIR INDICES idx isfile NUM_SHAPE_PER_CLASS int join add_xy DATASET_TYPE get_image_from_shapes SMALL makedirs min max squeeze union intersection dot norm abs arccos zeros astype unique shape zeros normalize range consecutive_integer shape zeros range len deepcopy squeeze shift random rotate align_instance resize randint expand_dims array ljust size print BACKBONE callable str str conv_block identity_block range stack minimum concat maximum set_shape split minimum reshape maximum tile expand_dims split concat reduce_max boolean_mask MASK_SHAPE crop_and_resize gather box_refinement_graph round trim_zeros_graph ROI_POSITIVE_RATIO transpose squeeze pad cast expand_dims range USE_MINI_MASK overlaps_graph cond int TRAIN_ROIS_PER_IMAGE float32 greater maximum int32 split minimum apply_box_deltas_graph reshape clip_boxes_graph concat gather map_fn DETECTION_MAX_INSTANCES stack gather_nd DETECTION_MIN_CONFIDENCE pad set_intersection expand_dims argmax BBOX_STD_DEV Input rpn_graph int_shape less abs cast switch constant not_equal squeeze where mean sparse_categorical_crossentropy gather_nd cast int32 equal IMAGES_PER_GPU batch_pack_graph switch constant smooth_l1_loss squeeze where mean gather_nd cast int32 sum equal reduce_sum sparse_softmax_cross_entropy_with_logits cast gather argmax switch constant reshape smooth_l1_loss mean int64 stack cast gather_nd gather switch constant reshape transpose mean shape int64 stack cast gather_nd gather binary_crossentropy minimize_mask compose_image_meta extract_bboxes load_mask resize_image shape resize_mask MINI_MASK_SHAPE load_image load_shapes zeros minimize_mask compose_image_meta extract_bboxes load_mask resize_image shape resize_mask MINI_MASK_SHAPE load_image zeros int ROI_POSITIVE_RATIO concatenate resize astype TRAIN_ROIS_PER_IMAGE compute_iou choice MASK_SHAPE int32 box_refinement USE_MINI_MASK zeros argmax range sum zip ones compute_overlaps choice RPN_TRAIN_ANCHORS_PER_IMAGE zeros argmax amax len int sort min hstack randint zeros max range split arange IMAGE_SHAPE compute_backbone_shapes RPN_ANCHOR_RATIOS generate_pyramid_anchors BACKBONE_STRIDES MAX_GT_INSTANCES shape expand_dims build_rpn_targets astype choice generate_random_rois load_shapes_gt build_detection_targets RPN_ANCHOR_SCALES mold_image RPN_ANCHOR_STRIDE float32 extend zeros image_ids arange IMAGE_SHAPE compute_backbone_shapes RPN_ANCHOR_RATIOS generate_pyramid_anchors BACKBONE_STRIDES MAX_GT_INSTANCES shape expand_dims load_image_gt build_rpn_targets astype shuffle copy choice generate_random_rois build_detection_targets RPN_ANCHOR_SCALES mold_image RPN_ANCHOR_STRIDE float32 extend zeros len list array boolean_mask reduce_sum cast bool abs append range constant concat float32 cast split constant concat float32 cast split reset_default_graph Input zeros array range minimum maximum zeros range compute_iou T astype float32 dot sum astype delete float32 compute_iou append astype float32 stack cast float32 log astype float32 log dtype min pad resize randint max pad astype resize zeros bool range astype resize zeros bool range zeros bool astype resize arange concatenate reshape flatten sqrt meshgrid array append generate_anchors range len ones trim_zeros compute_overlaps_masks range len arange concatenate cumsum compute_matches astype float32 maximum sum range len compute_ap format print mean append compute_overlaps set argmax max len list graph_fn zip append range len print array array show subplot uint8 axis astype imshow title figure zip len list shuffle range where subplots axis show set_title apply_mask imshow find_contours range set_xlim astype copy zeros uint8 Polygon print text add_patch Rectangle randint fliplr set_ylim compute_matches display_instances concatenate len subplots arange rand axis Line2D unmold_mask shape title apply_mask imshow format set_xlim astype copy enumerate add_line print text add_patch Rectangle int32 set_ylim len format arange display_images unique append sum range format subplots set_title plot set_xlim set_ylim list format arange product yticks text xlabel tight_layout ylabel imshow figure xticks max range len subplots axis Line2D random_colors set_title apply_mask imshow find_contours range set_xlim astype copy zeros add_line uint8 Polygon text add_patch Rectangle int32 randint fliplr set_ylim HTML display get_trainable_layers name weights display_table append get_weights enumerate BalloonDataset load_balloon print prepare dataset rgb2gray gray2rgb uint8 astype get VideoCapture int format read CAP_PROP_FRAME_HEIGHT imsave print write now color_splash image VideoWriter CAP_PROP_FPS imread VideoWriter_fourcc CAP_PROP_FRAME_WIDTH release append around range time uint8 format evaluate COCOeval summarize print len astype extend accumulate build_coco_results loadRes load_image enumerate array max len load_nucleus NucleusDataset SomeOf flatten reshape concatenate diff list T reshape map zeros bool split format reshape rle_encode where append max join format image_ids class_names load_nucleus print now prepare display_instances savefig append load_image mask_to_rle NucleusDataset makedirs | yanfengliu/layered_embeddings | 4,180 |
yang1fan2/Dota2-Prediction | ['dota 2'] | ['Real-time eSports Match Result Prediction'] | feature/hero_player_winrate.py final_features/hero_player_comb.py final_features/hero_winrate.py models/train.py data/extract_mongodb.py feature/prior_all.py data/lr_minus.py final_features/hero_player_winrate.py data/add_hero_108.py feature/final_all.py models/nn.py data/extract_pk.py final_features/hero_player_attr.py data/download_detail.py data/save_distribution_to_mongo.py data/nn.py feature/hero_player_attr.py final_features/player_mmr.py data/craw_json.py data/save_to_mongo.py data/save_hero_to_mongo.py feature/hero_player_winrate_vis.py models/utils.py feature/player_rank_avg.py experiment/lr_user_rank.py data/download_real_time.py feature/player_rank_individual.py data/stats.py feature/extract_match.py final_features/hero_attr.py feature/avg_mmr_perc.py models/lr.py data/craw_very_high.py data/download_player.py data/count_nonexistent_players.py data/save_benchmark.py models/data_size.py data/lr_switch.py data/lr.py get_nonexistent_players crawl_account_ids store get_by_account_id retrieve save_as_pk get_player download load_dict save_as_pk get_match_detail save_as_pk get_match_detail save_as_pk load_pk load_pk load_pk load_pk is_valid_match save_mongo load_pk crawl_MMR_dist extract_prior load_dict save_as_pk extract_final load_dict save_as_pk load_pk get_percentile save_as_pk save_as_pk barplot load_dict crawl_acct_ids extract_player_rank crawl_MMR_dist crawl_ids_MMRs save_as_pk extract_player_rank crawl_MMR_dist crawl_ids_MMRs save_as_pk extract_prior load_dict save_as_pk load_pk save_as_pk load_pk get_percentile save_as_pk load_pk save_as_pk save_as_pk save_as_pk get_percentile save_as_pk logistic_regression Param nn choose_feature logistic_regression Param nn normalize load_data choose_feature load_dict add set Bar finish next find print get_match_history get append items list sort write close open len dump close open randint get_match_details len items list insert player close MongoClient loads content range open realtime insert print close randint MongoClient loads sleep content update_one append load close open zeros array range len MongoClient close matches insert append find str ceil int range str range len str Bar finish append next find show subplots arange print yticks close figlegend bar ylim set_visible figure xlim xticks len finish next Bar find float append range Model Input compile Model Input compile items list print append range StandardScaler transform Imputer fit_transform fit normalize load_dict | yang1fan2/Dota2-Prediction | 4,181 |
yanggeng1995/WaveGlow | ['speech synthesis'] | ['WaveGlow: A Flow-based Generative Network for Speech Synthesis'] | train.py data_reader.py models/modules.py models/glow.py utils/audio.py generate.py process.py hparam.py frozen_model.py generate_by_frozen_model.py DataReader read_wave_and_lc_features main load get_arguments get_arguments data_prepare preprocess write_metadata find_files main process load add_stats linear_learning_rate_decay average_gradients assign_to_device consine_learning_rate_decay save main get_arguments time_to_batch weight_normalization Invertible1x1Conv batch_to_time causal_conv WaveNet create_bias_variable create_variable causal_dilated_conv1d convert_audio save_wav build_mel_basis load_wav stft denormalize db_to_amp amp_to_db melspectrogram normalize spectrogram linear_to_mel load join reshape shuffle append listdir exists int restore format print get_checkpoint_state model_checkpoint_path add_argument ArgumentParser append iglob convert_audio save submit int join partial replace shuffle ProcessPoolExecutor append len wav_dir join output num_workers write_metadata find_files process makedirs print sample_rate sum hop_length parse_args preprocess add_argument ArgumentParser minimum cast initial_learning_rate cond join format print flush makedirs concat reduce_mean zip append expand_dims mean_log_scale prior_loss mean_log_det loss scalar logdir_root linear_learning_rate_decay Saver get_variable merge_all placeholder run_name append logdir range get_arguments consine_learning_rate_decay ConfigProto join makedirs Coordinator AdamOptimizer split scalar len create_variable value l2_normalize load_wav astype float32 int16 sample_rate write astype build_mel_basis stft ref_level_db abs amp_to_db stft abs linear_to_mel amp_to_db | yanggeng1995/WaveGlow | 4,182 |
yanggeng1995/subband_WaveRNN | ['speech synthesis'] | ['DurIAN: Duration Informed Attention Network For Multimodal Synthesis'] | models/deepmind_version.py WaveRNN | yanggeng1995/subband_WaveRNN | 4,183 |
yanggeng1995/vae_tacotron | ['style transfer', 'speech synthesis'] | ['Learning latent representations for style control and transfer in end-to-end speech synthesis'] | text/numbers.py models/modules.py util/audio.py text/cleaners.py datasets/ljspeech.py train.py util/infolog.py models/rnn_wrappers.py text/symbols.py tests/text_test.py models/__init__.py text/cmudict.py datasets/blizzard.py tests/cmudict_test.py tests/numbers_test.py datasets/blizzard2013.py synthesizer.py util/__init__.py preprocess.py hparams.py util/util.py util/plot.py datasets/datafeeder.py text/__init__.py eval.py models/tacotron.py models/helpers.py demo_server.py SynthesisResource UIResource main run_eval get_output_base_path hparams_debug_string preprocess_ljspeech write_metadata preprocess_blizzard2013 main preprocess_blizzard Synthesizer add_stats get_git_commit time_string main train _process_utterance _parse_labels build_from_path _process_utterance build_from_path _prepare_inputs _prepare_batch _pad_input _round_up DataFeeder _pad_target _prepare_targets _process_utterance build_from_path TacoTrainingHelper _go_frames TacoTestHelper ReferenceEncoder post_cbhg cbhg VAE prenet conv2d conv1d encoder_cbhg highwaynet ConcatOutputAndAttentionWrapper DecoderPrenetWrapper Tacotron _learning_rate_decay create_model test_cmudict test_cmudict_no_keep_ambiguous test_normalize_numbers test_normalize_dates test_normalize_money test_normalize_ordinals test_sequence_to_text test_text_to_sequence test_expand_abbreviations test_convert_to_ascii test_collapse_whitespace test_expand_numbers test_cleaner_pipelines test_symbols test_lowercase lowercase english_cleaners expand_abbreviations collapse_whitespace basic_cleaners convert_to_ascii transliteration_cleaners expand_numbers _parse_cmudict _get_pronunciation CMUDict normalize_numbers _expand_dollars _expand_ordinal _expand_decimal_point _expand_number _remove_commas text_to_sequence _clean_text _symbols_to_sequence _should_keep_symbol sequence_to_text _arpabet_to_sequence _build_mel_basis load_wav _linear_to_mel _stft_tensorflow _griffin_lim_tensorflow melspectrogram _amp_to_db inv_spectrogram _istft preemphasis save_wav _db_to_amp_tensorflow _denormalize spectrogram _db_to_amp inv_spectrogram_tensorflow _normalize _istft_tensorflow _griffin_lim _denormalize_tensorflow _stft inv_preemphasis _stft_parameters find_endpoint _close_logfile log init _send_slack plot_alignment vae_weight shape_list ValueWindow match dirname load reference_audio load_wav hparams_debug_string print Synthesizer transpose get_output_base_path checkpoint enumerate hparams parse run_eval add_argument ArgumentParser parse_args list values join output num_workers base_dir build_from_path write_metadata makedirs join output num_workers base_dir build_from_path write_metadata makedirs join output num_workers base_dir build_from_path write_metadata makedirs print frame_shift_ms sum max preprocess_ljspeech preprocess_blizzard2013 preprocess_blizzard check_output log join hparams_debug_string model Variable ValueWindow Coordinator base_dir Saver input log tf_log_level str join base_dir init train slack_url makedirs ProcessPoolExecutor int load_wav join T sample_rate astype float32 save frame_shift_ms _parse_labels asarray shuffle _prepare_inputs _prepare_targets max max cast CMUDict StringIO CMUDict StringIO sub lowercase collapse_whitespace lowercase convert_to_ascii collapse_whitespace lowercase expand_abbreviations collapse_whitespace convert_to_ascii expand_numbers append _get_pronunciation sub split split group split int group sub append match group len cleaner getattr int16 sample_rate write astype preemphasis _stft _amp_to_db ref_level_db abs ref_level_db _db_to_amp _denormalize ref_level_db _db_to_amp_tensorflow _denormalize_tensorflow preemphasis _stft _linear_to_mel _amp_to_db ref_level_db abs int sample_rate _db_to_amp range len complex exp griffin_lim_iters angle _stft rand astype pi _istft range _stft_parameters _stft_parameters _stft_parameters _stft_parameters int sample_rate frame_shift_ms num_freq frame_length_ms _build_mel_basis num_freq _close_logfile write open print start write close encode Request urlopen add_header subplots xlabel ylabel colorbar tight_layout imshow savefig convert_to_tensor as_list shape append range len vae_warming_up cond | yanggeng1995/vae_tacotron | 4,184 |
yanwei-li/PanopticFCN | ['panoptic segmentation'] | ['Fully Convolutional Networks for Panoptic Segmentation'] | train.py panopticfcn/panoptic_seg.py panopticfcn/__init__.py panopticfcn/gt_generate.py panopticfcn/head.py panopticfcn/backbone_utils.py panopticfcn/utils.py panopticfcn/config.py panopticfcn/build_solver.py panopticfcn/loss.py panopticfcn/deform_conv_with_off.py main setup Trainer build_semanticfpn SemanticFPN build_resnet_fpn_p5_backbone build_backbone LastLevelP6P7fromP5 WarmupPolyLR build_lr_scheduler add_panopticfcn_config DeformConvWithOff ModulatedDeformConvWithOff GenerateGT build_stuff_generator build_kernel_head build_position_head StuffGenerator build_feature_encoder build_thing_generator PositionHead KernelHead SingleHead FeatureEncoder ThingGenerator sigmoid_focal_loss weighted_dice_loss PanopticFCN gather_feature multi_apply topk_score merge_from_file config_file add_panopticfcn_config get_cfg merge_from_list default_setup opts freeze verify_results setup resume_or_load build_model test WEIGHTS Trainer eval_only is_main_process IN_FEATURES OUT_CHANNELS FPN build_resnet_backbone ShapeSpec build_resnet_fpn_p5_backbone LR_SCHEDULER_NAME CN int reshape clamp expand mean shape sigmoid sum sigmoid sum mean binary_cross_entropy_with_logits reshape topk float reshape size contiguous expand expand_as gather list map | yanwei-li/PanopticFCN | 4,185 |
yanx27/3DGNN_pytorch | ['semantic segmentation'] | ['3D Graph Neural Networks for RGBD Semantic Segmentation'] | draw_net.py run.py datasets/nyudv2.py models.py config.py show_grapth EnetEncoderModule MedianPool2d EnetDecoderMainPath EnetDecoder Model EnetDecoderOtherPath EnetInitialBlock EnetDecoderModule EnetGnn EnetEncoder EnetEncoderOtherPath EnetEncoderMainPath main parse_args Dataset show axis imshow split merge add_argument ArgumentParser Softmax getLogger LambdaLR model zero_grad DataLoader nclasses ReduceLROnPlateau save setLevel cuda forward eval_set str topk view FloatTensor addHandler len exit Adam LogSoftmax crop_size Model bootstrap_rate load_state_dict append sum range state_dict setFormatter use_gpu format mlp_num_layers replace pretrain log_softmax setNumThreads mean info float num_epochs long type INFO FileHandler NLLLoss load int enumerate workers_tr use_bootstrap_loss backward print contiguous tqdm Formatter train step Dataset gpu makedirs | yanx27/3DGNN_pytorch | 4,186 |
yao-lab/margin | ['generalization bounds'] | ["Rethinking Breiman's Dilemma in Neural Networks: Phase Transitions of Margin Dynamics"] | models/basic_cnn.py models/inception.py ZHU_Weizhi_exp/network.py ZHU_Weizhi_exp/margin_exp.py models/vgg.py ZHU_Weizhi_exp/utils.py models/__init__.py models/alex.py ZHU_Weizhi_exp/data_loader.py utils.py data_loader.py models/resnet.py get_margin ramp_loss margin_error AverageMeter accuracy get_Lip Logger AlexNet alexnet CNN GoogLeNet Inception ResNet ResNet18 ResNet34 Bottleneck ResNet101 ResNet50 BasicBlock ResNet152 VGG get_cifar10 get_cifar100 Cifar100_new Cifar10_new get_loader train_model plot CNN ResNet ResNet18 Bottleneck ResNet34 ResNet101 ResNet50 BasicBlock ResNet152 get_margin get_12norm get_Lip_pow get_Lip_L1 ramp_loss l2normalize margin_error get_21norm AverageMeter accuracy Logger get_spectral topk size t eq mul_ expand_as append sum max argmax numpy isinstance Conv2d features range len AlexNet load join list concatenate reshape transpose close choice startswith append expanduser float train_test_split range open load join list concatenate reshape transpose close choice startswith append expanduser float train_test_split range open get_cifar10 get_cifar100 Cifar100_new DataLoader Cifar10_new data model zero_grad linspace max cuda get_Lip_L1 view step append range update get_Lip_pow get_12norm format size sqrt eval avg item get_spectral enumerate time criterion backward print get_21norm AverageMeter train numpy get_fig set_xlabel close savefig mkdir legend array cuda data cuda l2normalize norm item norm item bn1 conv2 data bn2 get_MidLip sqrt get_spectral conv1 range enumerate len range len | yao-lab/margin | 4,187 |
yaojieliu/ECCV20-STDN | ['face anti spoofing'] | ['On Disentangling Spoof Trace for Generic Face Anti-Spoofing'] | train.py model/warp.py model/model.py test.py model/dataset.py config.py model/config.py model/loss.py model/utils.py Config main _step main _step Config Dataset l2_loss l1_loss Gen Disc get_train_op Disc_s Error PRelu Downsample plotResults Conv Upsample FC generate_offset_map tf_flatten warping tf_repeat tf_repeat_2d int get_or_create_global_step BATCH_SIZE reshape IMAGE_SIZE Gen reduce_mean nextit Config Saver Dataset _step concat l1_loss warping stop_gradient l2_loss resize_images transpose plotResults uniform cond Disc_s greater get_train_op split reshape reduce_sum shape reduce_mean abs reshape square reduce_sum shape reduce_mean tanh resize_images Downsample concat Conv reduce_mean Upsample avg_pool Downsample Conv concat Downsample Conv concat STEPS_PER_EPOCH LEARNING_RATE_DECAY_FACTOR apply apply_gradients ExponentialMovingAverage LEARNING_RATE exponential_decay NUM_EPOCHS_PER_DECAY resize_images uint8 concat shape cast clip_by_value append split expand_dims tile expand_dims tile reshape float32 ceil _gather_pixel shape stack cast clip_by_value tf_repeat floor meshgrid tf_repeat_2d range asarray _interpy Triangulation astype float32 stack linspace meshgrid LinearTriInterpolator _interpx | yaojieliu/ECCV20-STDN | 4,188 |
yaojieliu/ECCV2018-FaceDeSpoofing | ['face anti spoofing', 'denoising'] | ['Face De-Spoofing: Anti-Spoofing via Noise Modeling'] | Architecture.py data_train.py Train.py facepad-test.py | yaojieliu/ECCV2018-FaceDeSpoofing | 4,189 |
yaoshuwang/SelNet-Estimation | ['outlier detection', 'density estimation'] | ['Consistent and Flexible Selectivity Estimation for High-Dimensional Data'] | run/CoverTree/train_one_youtube_huber_log.py proc/covertree/merge.py proc/train/cal_leaf.py run_quad/RandomPartition/predict_one_youtube_huber_log.py model/Dispatcher.py proc/train/basic.py run/RandomPartition/predict_one_youtube_huber_log.py proc/covertree/fill_mapping.py run/RandomPartition/predict_one_face_d128_2M_smallSel_huber_log.py run/RandomPartition/train_one_youtube_huber_log.py run/one/predict_face_d128_2M_smallSel_huber_log.py run_quad/RandomPartition/predict_one_face_d128_2M_smallSel_huber_log.py run_quad/RandomPartition/train_one_fasttext_smallSel_cos_huber_log.py run_quad/one/train_youtube_huber_log.py run_quad/RandomPartition/train_one_youtube_huber_log.py proc/covertree/buildCT.py run_quad/CoverTree/predict_one_youtube_huber_log.py run_quad/CoverTree/train_one_youtube_huber_log.py proc/train/cal.py run/one/train_face_d128_2M_smallSel_huber_log.py run/CoverTree/train_one_fasttext_smallSel_huber_log.py model/selnet.py run_quad/one/train_face_d128_2M_smallSel_huber_log.py proc/train/splitFeats.py run_quad/one/predict_youtube_huber_log.py run/one/train_youtube_huber_log.py run_quad/CoverTree/train_one_fasttext_smallSel_huber_log.py model/selnetpart.py run_quad/RandomPartition/train_one_face_d128_2M_smallSel_huber_log.py run_quad/one/train_fasttext_smallSel_huber_log.py run/one/train_fasttext_smallSel_huber_log.py run/CoverTree/train_one_fasttext_smallSel_cos_huber_log.py run/CoverTree/train_one_face_d128_2M_smallSel_huber_log.py proc/train/proc_labels.py run/RandomPartition/predict_one_fasttext_smallSel_cos_huber_log.py run_quad/CoverTree/predict_one_fasttext_smallSel_huber_log.py run/one/predict_youtube_huber_log.py run/one/predict_fasttext_smallSel_huber_log.py run_quad/RandomPartition/train_one_fasttext_smallSel_huber_log.py run/RandomPartition/predict_one_fasttext_smallSel_huber_log.py proc/train/proc_labels_leaf.py run_quad/CoverTree/predict_one_face_d128_2M_smallSel_huber_log.py run_quad/CoverTree/train_one_fasttext_smallSel_cos_huber_log.py run_quad/one/predict_face_d128_2M_smallSel_huber_log.py run/one/train_fasttext_smallSel_cos_huber_log.py run_quad/CoverTree/predict_one_fasttext_smallSel_cos_huber_log.py run_quad/one/train_fasttext_smallSel_cos_huber_log.py run/one/predict_fasttext_smallSel_cos_huber_log.py run/CoverTree/predict_one_face_d128_2M_smallSel_huber_log.py model/selnet_bak.py proc/train/selectTrainTestFeats.py run_quad/RandomPartition/predict_one_fasttext_smallSel_huber_log.py run/CoverTree/predict_one_fasttext_smallSel_cos_huber_log.py run/RandomPartition/train_one_face_d128_2M_smallSel_huber_log.py run/RandomPartition/train_one_fasttext_smallSel_cos_huber_log.py run/CoverTree/predict_one_fasttext_smallSel_huber_log.py run_quad/one/predict_fasttext_smallSel_cos_huber_log.py run_quad/RandomPartition/predict_one_fasttext_smallSel_cos_huber_log.py proc/covertree/greedy_cluster.py run_quad/CoverTree/train_one_face_d128_2M_smallSel_huber_log.py run_quad/one/train_face_test.py run/RandomPartition/train_one_fasttext_smallSel_huber_log.py proc/covertree/cover_tree.py run_quad/one/predict_fasttext_smallSel_huber_log.py proc/randompartition/randompartition.py run/CoverTree/predict_one_youtube_huber_log.py Dispatcher myround _MyRoundGrad mean_absolute_percentage_error SelNet __eval__ py_func SelNetPart __eval__ mean_absolute_percentage_error myround _MyRoundGrad mean_absolute_percentage_error SelNet __eval__ py_func CoverTree packBitCode unpackBitCode shuffleMatrix shuffleMatrixBit writeBinFile ByteTobinary readBinFile stringToBagofgrams writeStringArr writeStringArrInterval readStringArr cal_offset saveImagesBinaryCodes BinaryToByte packBitCode2 readClusterFile eval_ eval_ eval_ eval_ eval_ eval_ eval_ eval_ eval_ eval_ eval_ eval_ eval_ eval_ eval_ eval_ eval_ eval_ eval_ eval_ eval_ eval_ eval_ eval_ mean_squared_error mean_absolute_percentage_error mean_absolute_error str get_default_graph randint fromfile read unpack open fromfile int sqrt len list len append ByteTobinary load int list items shape zeros open load int uint8 list items len shape zeros cal_offset range open uint8 append array range len uint8 BinaryToByte append array range len pack close write open pack close write open append open close write open close write range open append str range len mean_squared_error mean_absolute_percentage_error mean_absolute_error | yaoshuwang/SelNet-Estimation | 4,190 |
yaquanzhang/mGRN | ['time series'] | ['Memory-Gated Recurrent Networks'] | NN_main_mimic3_los.py mimic3_utils/mimic_3_files/common_utils.py uea_utils/uea_dataset_preparation.py validation_mimic3_dec.py validation_mimic3_ihm.py mGRNLayerDropout.py train_model.py get_model.py NN_main_mimic3_phe.py validation_regression.py mimic3_utils/data_reading_utils.py mimic3_utils/dec_dataset_preparation.py check_accuracy.py uea_utils/param_dict.py mimic3_utils/mimic_3_files/readers.py validation_uea.py mimic3_utils/param_dict.py mimic3_utils/ihm_dataset_preparation.py NN_main_mimic3_ihm.py mimic3_utils/los_dataset_preparation.py NN_main_mimic3_dec.py mimic3_utils/common_utils.py uea_utils/utils.py NN_main_simulation_regression.py mimic3_utils/phe_dataset_preparation.py mimic3_utils/mimic_3_files/preprocessing.py validation_mimic3_phe.py NN_main_uea.py validation_mimic3_los.py check_accuracy_single_model_tapnet check_accuracy_multiple_model_simulation check_accuracy_single_model_simulation CustomDataset CheckAccuracy single_model CustomDataset CheckAccuracy single_model CustomDataset CheckAccuracy single_model CustomDataset CheckAccuracy single_model KerasBinaryCrossentropy main rolling_window_stupid get_model_suffix single_model single_model train_mimic3 train_simulation train_tapnet single_model_validation single_model_validation single_model_validation single_model_validation main rolling_window_stupid validation_single_model single_model_validation get_input_size_raw sort_and_shuffle read_chunk pad_zeros preprocess_chunk_parallel CustomDataset CustomDataset CustomDataset CustomDataset sort_and_shuffle read_chunk pad_zeros Normalizer Discretizer Decompensation_read_timeseries InHospitalMortality_read_timeseries Phenotyping_read_timeseries LengthOfStayReader Reader InHospitalMortalityReader LengthOfStay_read_timeseries DecompensationReader PhenotypingReader download normalization argmax sum format view print eval item numpy CrossEntropyLoss format view print MSELoss eval item empty_cache append DataFrame check_accuracy_single_model_simulation join train_mimic3 savez print CustomDataset CheckAccuracy to_excel device get_model DataFrame CrossEntropyLoss makedirs KerasBinaryCrossentropy str save check_accuracy_multiple_model_simulation str view permute append range state_dict train_simulation float enumerate get_model_suffix len append array range genfromtxt join str single_model concatenate print reshape len copy roll mean rolling_window_stupid device to std range makedirs train_tapnet exists squeeze sleep to rmtree numpy model zero_grad all view check_accuracy_single_model_simulation RMSprop MSELoss randperm permute ceil append sum range format item float time criterion backward print parameters empty_cache train step len model zero_grad save max view Adam randperm ceil append sum CrossEntropyLoss range state_dict format size item time check_accuracy_single_model_tapnet criterion backward print parameters empty_cache train step len on_epoch_end model zero_grad save max view Adam append sum range check_accuracy state_dict format param_groups item enumerate join time criterion backward print min __len__ parameters train step len load print CustomDataset CheckAccuracy load_state_dict device get_model CrossEntropyLoss check_accuracy KerasBinaryCrossentropy load join str print to_excel load_state_dict item device append check_accuracy_multiple_model_simulation get_model read_excel range len validation_single_model view permute float listdir check_accuracy_single_model_tapnet float squeeze permute to numpy items list read_next append range list sort shuffle zip len dtype max list sorted format print len add set append range find print time get join format replace print status_code text ok makedirs mean std range | yaquanzhang/mGRN | 4,191 |
yassineAlouini/airbus_ship_detection | ['semantic segmentation'] | ['TernausNet: U-Net with VGG11 Encoder Pre-Trained on ImageNet for Image Segmentation'] | asd/run.py asd/models/u_net.py asd/preprocessing.py asd/callbacks.py asd/losses_metrics.py setup.py asd/models/pretrained_unet.py asd/models/ternaus_net.py asd/conf.py true_positive_rate_metric IoU_metric custom_focal_loss dice_metric focal_loss custom_dice_loss make_image_gen create_aug_gen rle_encode build_image_generator multi_rle_encode get_data rle_decode masks_as_color masks_as_image prepare_submission _predict_for_batch get_compiled_model main ml_pipeline build_pretrained_unet_model build_u_net_model _upsample_conv _upsample_simple sum sum print shape train_test_split head read_csv merge flatten concatenate zeros zip split label zeros isinstance zeros isinstance enumerate join groupby list values shuffle copy expand_dims imread masks_as_image dict ImageDataGenerator pop seed list build_image_generator choice flow range print Adam build_u_net_model summary build_pretrained_unet_model compile format make_image_gen print copy get_compiled_model fit_generator create_aug_gen replace collect disk to_csv multi_rle_encode binary_opening append expand_dims DataFrame imread join list load_model _predict_for_batch glob tqdm range len get UpSampling2D concatenate Sequential add Model AvgPool2D Input | yassineAlouini/airbus_ship_detection | 4,192 |
yaswanthpalaghat/Implementing-Neural-Style-Transfer | ['style transfer'] | ['A Neural Algorithm of Artistic Style'] | nst.py gram_matrix load_image im_convert get_features size Compose convert unsqueeze max squeeze transpose array clip detach items list layer t size mm view | yaswanthpalaghat/Implementing-Neural-Style-Transfer | 4,193 |
yding5/AdaptiveBinning | ['autonomous driving'] | ['Revisiting the Evaluation of Uncertainty Estimation and Its Application to Explore Model Complexity-Uncertainty Trade-Off'] | demo.py AdaptiveBinning.py AdaptiveBinning softmax show int subplots xlabel sort min xlim ylabel bar ylim legend float abs max range enumerate len | yding5/AdaptiveBinning | 4,194 |
yeliu918/KG-BART | ['graph attention', 'text generation'] | ['KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning'] | KGBART/KGBART_model/generation_utils.py KGBART/KGBART_model/tokenization_xlnet.py KGBART/KGBART_model/__init__.py KGBART/KGBART_model/loss.py KGBART/KGBART_model/configuration_bart.py KGBART/KGBART_model/optimization.py KGBART/KGBART_training/seq2seq_loader.py dataset/commongen_data/formatter.py KGBART/KGBART_model/modeling_kgbart.py KGBART/KGBART_training/pretrain_kgbart.py KGBART/KGBART_model/activations.py KGBART/KGBART_model/tokenization_utils.py KGBART/KGBART_model/tokenization_xlm_roberta.py KGBART/KGBART_model/file_utils.py KGBART/KGBART_model/tokenization_utils_base.py OpenKE/n-n.py KGBART/KGBART_model/tokenization_gpt2.py KGBART/KGBART_model/configuration_utils.py KG_grounding/entity_onehot.py OpenKE/train_transe_ConceptNet.py KGBART/KGBART_model/tokenization_utils_fast.py KGBART/KGBART_training/decode_seq2seq.py KG_grounding/reorder_src.py KGBART/KGBART_training/loader_utils.py KGBART/KGBART_training/run_seq2seq.py KGBART/KGBART_model/modeling_utils.py KG_grounding/conceptnet.py KGBART/KGBART_model/modeling_outputs.py KGBART/nn/data_parallel.py KGBART/KGBART_model/tokenization_bart.py KGBART/KGBART_model/tokenization_roberta.py split_file_test split_file swish _gelu_python gelu_fast get_activation gelu_new MBartConfig BartConfig PretrainedConfig is_torch_available ModelOutput filename_to_url tf_required is_apex_available get_from_cache add_start_docstrings add_code_sample_docstrings is_remote_url is_tf_available cached_path http_get hf_bucket_url replace_return_docstrings add_start_docstrings_to_callable add_end_docstrings is_py3nvml_available is_psutil_available is_torch_tpu_available _prepare_output_docstrings url_to_filename torch_required cached_property GenerationMixin calc_banned_ngram_tokens top_k_top_p_filtering calc_banned_bad_words_ids BeamHypotheses LabelSmoothingLoss HGATSelfAttention make_padding_mask PretrainedBartModel LayerNorm _get_shape _make_linear_from_emb _check_shapes KGBartModel shift_tokens_right SinusoidalPositionalEmbedding SelfAttention invert_mask _reorder_buffer DecoderLayer DecoderGATLayer _prepare_bart_decoder_inputs EncoderGATLayer LearnedPositionalEmbedding BartDecoder BartEncoder EncoderLayer BartClassificationHead fill_with_neg_inf KGBartForConditionalGeneration GATSelfAttention NextSentencePredictorOutput Seq2SeqModelOutput SequenceClassifierOutput CausalLMOutput BaseModelOutput CausalLMOutputWithPast Seq2SeqQuestionAnsweringModelOutput BaseModelOutputWithPast MultipleChoiceModelOutput MaskedLMOutput Seq2SeqSequenceClassifierOutput QuestionAnsweringModelOutput TokenClassifierOutput Seq2SeqLMOutput BaseModelOutputWithPooling prune_layer SQuADHead SquadHeadOutput PoolerAnswerClass SequenceSummary prune_linear_layer apply_chunking_to_forward prune_conv1d_layer PoolerEndLogits find_pruneable_heads_and_indices ModuleUtilsMixin Conv1D PreTrainedModel PoolerStartLogits get_constant_schedule_with_warmup AdamW get_linear_schedule_with_warmup get_constant_schedule get_cosine_with_hard_restarts_schedule_with_warmup get_cosine_schedule_with_warmup MBartTokenizer BartTokenizer BartTokenizerFast bytes_to_unicode get_pairs GPT2TokenizerFast GPT2Tokenizer RobertaTokenizerFast RobertaTokenizer _is_start_of_word _is_end_of_word _is_whitespace _is_control _is_punctuation PreTrainedTokenizer PaddingStrategy CharSpan PreTrainedTokenizerBase TensorType SpecialTokensMixin TruncationStrategy BatchEncoding ExplicitEnum TokenSpan PreTrainedTokenizerFast XLMRobertaTokenizer XLNetTokenizer main detokenize ascii_print TrieTree get_random_word _expand_whole_word _get_word_split_index Pipeline batch_list_to_batch_tensors TrieNode main _get_max_epoch_model main _get_max_epoch_model Preprocess4Seq2seq Seq2SeqDataset Preprocess4Pretrain Preprocess4Seq2seqDecoder truncate_tokens_pair scatter_imbalance DataParallelImbalance scatter_kwargs_imbalance join replace zip append split append join replace split join format __doc__ split urlparse encode endswith hexdigest sha256 str join isinstance str join replace isinstance get_from_cache is_remote_url exists split is_torch_available get update format isinstance write close tqdm is_tf_available iter_content len get str join isinstance url_to_filename head exists makedirs get tuple tolist zip range append cumsum sort size min clone scatter softmax max pad_token_id shift_tokens_right size make_padding_mask invert_mask to data shape Linear squeeze unsqueeze clone eq index_select list items is_available ones eq sum set list size len contiguous copy_ device to detach list size len contiguous copy_ device to detach isinstance Linear parameters shape tuple len append list range ord add set category category startswith startswith category ord append encode print from_pretrained need_score_traces model_recover_path forbid_ignore_word batch_size strip DataParallel output_dir device ArgumentParser open seed list sorted max_seq_length data_dir convert_tokens_to_ids len half device_count output_file append parse_args to ceil manual_seed_all set upper eval bart_model init manual_seed info fp16 keys enumerate load max_src_length join print add_argument Preprocess4Seq2seqDecoder empty_cache split zeros array max_tgt_length makedirs randint len isinstance stack zip append Tensor tensor append glob join set max_grad_norm hasattr DataParallelImbalance getenv load_state_dict get_world_size mean AdamW barrier parameters step do_eval zero_grad DataLoader do_train eval_batch_size DDP DistributedSampler init_process_group trange tqdm train bool gradient_accumulation_steps model get_linear_schedule_with_warmup clip_grad_norm_ Seq2SeqDataset initialize set_device pretraining_KG master_params state_dict dump log_dir named_parameters set_epoch local_rank train_batch_size floor _get_max_epoch_model format replace __dict__ num_train_epochs int backward RandomSampler loss pop tuple extend | yeliu918/KG-BART | 4,195 |
yf-yang/Portfolio-Optimization | ['stochastic optimization'] | ['From Predictive to Prescriptive Analytics'] | algorithm/PEO/utils.py algorithm/PEO/compute.py algorithm/UTM/__init__.py algorithm/URM/compute.py algorithm/URM/__init__.py algorithm/common.py algorithm/UTM/compute.py DEMO.py algorithm/PEO/__init__.py algorithm/__init__.py generate_data.py generate_data ordered_eig trans compute f is_pos_def df CD_op get_v_G compute compute norm exp T randn ones sort diag dot sqrt zeros range eigh T dot ordered_eig eye sum range T inv f maximum dot eigh is_pos_def eye CD_op df get_v_G eye inv trace eye CD_op dot eye outer dot T trans mean ordered_eig trans | yf-yang/Portfolio-Optimization | 4,196 |
yfsin/deepfake_pro | ['face swapping'] | ['DeepFaceLab: Integrated, flexible and extensible face-swapping framework'] | models/Model_XSeg/Model.py mainscripts/VideoEd.py merger/MergerScreen/MergerScreen.py mainscripts/dev_misc.py merger/InteractiveMergerSubprocessor.py samplelib/SampleGeneratorImageTemporal.py core/leras/models/__init__.py samplelib/Sample.py core/joblib/__init__.py core/imagelib/estimate_sharpness.py core/joblib/MPFunc.py core/leras/layers/DenseNorm.py core/leras/nn.py samplelib/SampleProcessor.py core/leras/archis/__init__.py core/leras/layers/Conv2D.py core/stdex.py core/imagelib/text.py core/leras/models/PatchDiscriminator.py core/leras/__init__.py models/Model_XSeg/__init__.py core/imagelib/equalize_and_stack_square.py samplelib/__init__.py core/imagelib/sd/draw.py core/randomex.py core/joblib/MPClassFuncOnDemand.py core/leras/optimizers/__init__.py core/leras/initializers/__init__.py mainscripts/Extractor.py mainscripts/Sorter.py core/mathlib/__init__.py core/leras/optimizers/OptimizerBase.py core/imagelib/draw.py samplelib/SampleGeneratorBase.py core/leras/layers/BatchNorm2D.py core/leras/layers/ScaleAdd.py XSegEditor/QCursorDB.py models/__init__.py core/joblib/SubprocessGenerator.py DFLIMG/DFLIMG.py core/leras/layers/__init__.py models/ModelBase.py facelib/FaceEnhancer.py core/joblib/ThisThreadGenerator.py XSegEditor/QIconDB.py core/imagelib/blursharpen.py merger/MergeMasked.py core/cv2ex.py models/Model_Quick96/__init__.py main.py core/leras/archis/ArchiBase.py localization/localization.py facelib/LandmarksProcessor.py core/leras/layers/Dense.py models/Model_SAEHD/__init__.py mainscripts/Merger.py mainscripts/XSegUtil.py core/imagelib/filters.py XSegEditor/QStringDB.py core/leras/initializers/CA.py core/imagelib/__init__.py core/leras/models/ModelBase.py samplelib/SampleGeneratorFaceTemporal.py core/leras/layers/InstanceNorm2D.py facelib/S3FDExtractor.py samplelib/SampleLoader.py samplelib/SampleGeneratorFaceXSeg.py core/qtex/qtex.py DFLIMG/__init__.py core/leras/optimizers/RMSprop.py core/structex.py core/leras/layers/BlurPool.py facelib/__init__.py core/leras/archis/DeepFakeArchi.py core/imagelib/SegIEPolys.py mainscripts/FacesetEnhancer.py merger/FrameInfo.py models/Model_SAEHD/Model.py core/mplib/__init__.py samplelib/SampleGeneratorFacePerson.py merger/MergerScreen/__init__.py core/imagelib/common.py core/imagelib/sd/__init__.py core/leras/layers/AdaIN.py core/leras/layers/LayerBase.py facelib/FANExtractor.py core/leras/models/XSeg.py samplelib/SampleGeneratorFace.py merger/MergeAvatar.py core/pathex.py core/leras/layers/Conv2DTranspose.py core/qtex/QXMainWindow.py merger/__init__.py core/imagelib/morph.py core/joblib/SubprocessorBase.py mainscripts/Trainer.py samplelib/PackedFaceset.py core/mathlib/umeyama.py mainscripts/Util.py core/interact/__init__.py core/leras/layers/FRNorm2D.py core/leras/layers/Saveable.py core/leras/layers/TLU.py facelib/XSegNet.py core/mplib/MPSharedList.py core/leras/models/CodeDiscriminator.py facelib/FaceType.py XSegEditor/XSegEditor.py merger/MergerConfig.py core/leras/ops/__init__.py core/interact/interact.py core/leras/device.py core/imagelib/sd/calc.py core/imagelib/reduce_colors.py samplelib/SampleGeneratorImage.py localization/__init__.py DFLIMG/DFLJPG.py core/qtex/__init__.py core/qtex/QSubprocessor.py core/qtex/QXIconButton.py samplelib/SampleGeneratorFaceCelebAMaskHQ.py core/imagelib/warp.py core/osex.py core/imagelib/color_transfer.py models/Model_Quick96/Model.py process_dev_test process_merge process_videoed_cut_video process_train process_faceset_enhancer process_xsegeditor process_xsegapply process_xsegremove process_xsegremovelabels process_videoed_video_from_sequence process_xsegfetch process_util process_extract fixPathAction process_videoed_extract_video process_sort bad_args process_videoed_denoise_image_sequence cv2_imwrite cv2_imread set_process_dpi_aware get_screen_size set_process_lowest_prio get_image_paths move_all_files write_bytes_safe get_first_file_by_stem get_image_unique_filestem_paths get_all_dir_names get_file_paths delete_all_files scantree get_paths get_all_dir_names_startswith random_normal suppress_stdout_stderr struct_unpack LinearMotionBlur blursharpen _scale_array color_transfer color_transfer_idt color_transfer_mkl reinhard_color_transfer laplacian_matrix lab_image_stats seamless_clone linear_color_transfer channel_hist_match color_transfer_sot color_transfer_mix color_hist_match overlay_alpha_image cut_odd_image normalize_channels draw_polygon draw_rect equalize_and_stack_square compute _calculate_sharpness_metric marziliano_method get_block_contrast _simple_thinning estimate_sharpness is_edge_block sobel apply_random_motion_blur apply_random_rgb_levels apply_random_hsv_shift apply_random_bilinear_resize apply_random_gaussian_blur morphTriangle morph_by_points applyAffineTransform reduce_colors SegIEPolys SegIEPolyType SegIEPoly get_text_image draw_text_lines draw_text _get_pil_font get_draw_text_lines warp_by_params gen_warp_params dist_to_edges random_circle_faded circle_faded InteractBase InteractColab InteractDesktop MPClassFuncOnDemand MPFunc SubprocessGenerator Subprocessor ThisThreadGenerator Devices Device nn ArchiBase DeepFakeArchi CAInitializerSubprocessor initializers AdaIN BatchNorm2D BlurPool Conv2D Conv2DTranspose Dense DenseNorm FRNorm2D InstanceNorm2D LayerBase Saveable ScaleAdd TLU CodeDiscriminator ModelBase PatchDiscriminator XSeg dssim concat average_gv_list resize2d_bilinear flatten rgb_to_lab space_to_depth tf_gradients random_binomial style_loss gelu init_weights tf_get_value upsample2d reshape_4D batch_set_value max_pool average_tensor_list gaussian_blur depth_to_space OptimizerBase RMSprop umeyama get_power_of_two rotationMatrixToEulerAngles polygon_area ArrayFillerSubprocessor MPSharedList IndexHost Index2DHost ListHost DictHostCli DictHost QSubprocessor QDarkPalette QActionEx QSize_to_np QImage_from_np QImage_to_np QPixmap_from_np QPoint_to_np QPoint_from_np QXIconButton QXMainWindow DFLIMG DFLJPG FaceEnhancer FaceType FANExtractor blur_image_hull_mask mirror_landmarks get_face_struct_mask estimate_pitch_yaw_roll convert_98_to_68 expand_eyebrows get_rect_from_landmarks get_transform_mat draw_rect_landmarks get_cmask transform_points estimate_averaged_yaw calc_face_pitch alpha_to_color get_image_eye_mask draw_landmarks get_image_hull_mask S3FDExtractor XSegNet dev_test_68 dev_test1 dev_resave_pngs extract_vggface2_dataset extract_umd_csv dev_segmented_trash process_folder FacesetEnhancerSubprocessor extract_video video_from_sequence denoise_image_sequence cut_video remove_xseg remove_xseg_labels apply_xseg fetch_xseg FrameInfo InteractiveMergerSubprocessor MergeFaceAvatar process_frame_info MergeMasked MergeMaskedFace MergerConfigMasked MergerConfigFaceAvatar MergerConfig ScreenManager ScreenAssets Screen ModelBase import_model QModel SAEHDModel XSegModel PackedFaceset Sample SampleType SampleGeneratorBase SampleGeneratorFace SampleGeneratorFaceCelebAMaskHQ MaskType SampleGeneratorFacePerson SampleGeneratorFaceTemporal SampleGeneratorFaceXSeg SegmentedSampleFilterSubprocessor SampleGeneratorImage SampleGeneratorImageTemporal FaceSamplesLoaderSubprocessor SampleLoader SampleProcessor QCursorDB QIconDB QStringDB ImagePreviewSequenceBar QUIConfig QCanvasOperator LoaderQSubprocessor CanvasConfig OpMode QCanvas DragType ViewLock ColorScheme QCanvasControlsLeftBar start QCanvasControlsRightBar MainWindow PTEditMode main set_process_lowest_prio main set_process_lowest_prio unpack_faceset pack save_faceset_metadata log_info restore_faceset_metadata_folder pack_faceset save_faceset_metadata_folder restore_faceset_metadata Path input_dir unpack recover_original_aligned_filename set_process_lowest_prio add_landmarks_debug_images main set_process_lowest_prio main set_process_lowest_prio output_ext fps extract_video output_dir input_file set_process_lowest_prio audio_track_id from_time bitrate to_time cut_video input_file set_process_lowest_prio factor denoise_image_sequence set_process_lowest_prio input_dir video_from_sequence set_process_lowest_prio Path set_process_lowest_prio input_dir process_folder dev_test set_process_lowest_prio input_dir start Path set_process_lowest_prio input_dir model_dir apply_xseg Path input_dir set_process_lowest_prio Path remove_xseg set_process_lowest_prio input_dir remove_xseg_labels Path set_process_lowest_prio input_dir Path fetch_xseg set_process_lowest_prio input_dir print_help exit loader_func asarray bytearray imencode suffix nice SetPriorityClass HANDLE GetCurrentProcess SetProcessDPIAware user32 write_bytes parent name unlink rename exists is_dir scandir str list scandir any Path scantree exists append remove get_image_paths name stem set add verbose_print_func Path exists Path exists Path exists str list lower scandir Path startswith append exists str sorted list path lower scandir Path exists name Path rename get_file_paths unlink Path get_file_paths normal empty prod range calcsize warpAffine ones getRotationMatrix2D zeros sum medianBlur addWeighted ones zeros GaussianBlur max dtype reshape astype copy argsort shape bilateralFilter fill empty range eps T clip reshape eig dot shape sqrt cov mean diag T reshape min astype float32 empty_like solve dot shape histogram interp max range tolil setdiag lil_matrix reshape laplacian_matrix shape flatten dot argwhere append range tocsc _scale_array uint8 astype float32 merge lab_image_stats COLOR_LAB2BGR cvtColor split T reshape transpose mean dot eigh eye cholesky split min max float64 astype shape unique interp ravel dtype astype shape channel_hist_match range uint8 astype float32 COLOR_BGR2LAB color_transfer_sot COLOR_LAB2BGR cvtColor uint8 color_transfer_idt color_transfer_mkl astype float32 reinhard_color_transfer linear_color_transfer color_transfer_sot clip shape repeat len shape shape range tuple line range len draw_polygon concatenate shape resize expand_dims max enumerate T convolve square mean sqrt array shape zeros float64 marziliano_method astype canny sobel gradient atan2 shape any zeros round range int exp slice get_block_contrast shape flipud round zeros is_edge_block rot90 range cvtColor COLOR_BGR2GRAY rand random clip array COLOR_HSV2BGR random merge COLOR_BGR2HSV randint clip cvtColor split LinearMotionBlur randint random randint GaussianBlur random int rand random shape resize INTER_LINEAR float32 getAffineTransform float32 fillConvexPoly shape boundingRect int32 applyAffineTransform zeros expand_dims array shape morphTriangle zeros simplices fromarray uint8 convert astype COLOR_RGB2BGR array cvtColor truetype asarray Draw get_default_ttf_font_name concatenate text new _get_pil_font shape clip draw_text range len draw_text_lines zeros shape T random astype copy float32 getRotationMatrix2D dict uniform linspace random_normal warpAffine remap norm clip einsum concatenate norm reshape empty abs clip max random randint initializer inputs append batch_set_value run gradients expand_dims __enter__ __exit__ enumerate reduce_mean __enter__ __exit__ concat pow tanh sqrt pi as_list reshape tile transpose value resize transpose reshape transpose randint float32 pad make_kernel tile depthwise_conv2d gaussian_blur dtype constant arange reshape float32 square reduce_mean reducer cast softmax tile as_list reshape transpose as_list reshape transpose constant reshape multiply matmul cast svd T ones matrix_rank mean dot eye sum diag sqrt atan2 shape Format_Grayscale8 Format_BGR888 Format_ARGB32 height reshape convertToFormat width constBits setsize range squeeze invertAffineTransform shape transform expand_dims get norm getAffineTransform polygon_area astype float32 transform_points sqrt estimate_averaged_yaw array transform_points FULL_NO_ALIGN get_transform_mat float32 array copy concatenate expand_eyebrows fillConvexPoly convexHull zeros int getStructuringElement astype fillConvexPoly MORPH_ELLIPSE convexHull dilate zeros GaussianBlur shape zeros concatenate process copy blend alpha_to_color zeros get_image_hull_mask gdf max clip int blur getStructuringElement min erode argwhere MORPH_ELLIPSE expand_dims copy draw_landmarks zeros expand_eyebrows concatenate polylines tuple shape get_image_hull_mask array circle get_transform_mat draw_rect transform_points draw_polygon draw_landmarks array array rotationMatrixToEulerAngles concatenate astype float32 pi solvePnP zeros array clip get pop get_image_paths parent log_info name stem progress_bar_generator get_all_dir_names Path mkdir run fromString split cv2_imread Path normalize_channels exists input_bool str log_info name stem append get_image_paths get_rect_from_landmarks unlink mkdir parent cv2_imwrite progress_bar_generator read_text split get str get_image_paths parent log_info name len unlink Path mkdir split log_err run range exists fromString input_bool get_image_paths progress_bar_generator get_all_dir_names Path x get_image_paths cv2_imwrite progress_bar_generator cv2_imread Path get_image_paths parent name stem rename Path mkdir append input_bool join get_image_paths log_info parent name copy unlink rmtree mkdir run update str get_image_paths parent input_str stem output get_first_file_by_stem unlink input_int mkdir Path log_err input run str suffix parent input_str stem overwrite_output input_int log_err Path input max run update str suffix parent progress_bar_generator output input_int rename log_err Path run clip enumerate suffix input_str wait input_int Path max input_bool str stem input update run_async get_image_paths close mkdir parent overwrite_output get_first_file_by_stem log_err probe load extract initialize get_image_paths log_info set_xseg_mask progress_bar_generator astype float32 get_resolution ask_choose_device shape XSegNet resize save load str get_image_paths log_info parent name has_polys progress_bar_generator copy get_seg_ie_polys mkdir load get_image_paths log_info set_xseg_mask input_str progress_bar_generator has_xseg_mask save load get_image_paths log_info input_str has_seg_ie_polys progress_bar_generator save set_seg_ie_polys warpAffine get_transform_mat astype float32 cv2_imread normalize_channels filename clip sharpen_func sharpen_mode concatenate predictor_func add_source_image process_frame_info temporal_face_count append range sharpen_amount predictor_func color_transfer_mkl motion_power bicubic_degrade_power motion_blur_power linear_color_transfer color_transfer_mix boundingRect resize reduce_colors max clip face_enhancer_func hist_match_threshold medianBlur super_resolution_power WARP_INVERSE_MAP ones LinearMotionBlur shape pad blur_mask_modifier image_denoise_power masked_hist_match blursharpen range color_hist_match BORDER_TRANSPARENT warpAffine sharpen_mode xseg_256_extract_func seamlessClone color_transfer_idt astype copy reinhard_color_transfer empty_like motion_deg INTER_CUBIC MORPH_ELLIPSE color_transfer_sot dilate GaussianBlur get_image_hull_mask NORMAL_CLONE uint8 int erode_mask_modifier getStructuringElement get_transform_mat float32 nan_to_num erode argwhere blursharpen_amount color_degrade_power landmarks_list concatenate astype float32 cv2_imread shape normalize_channels MergeMaskedFace filepath clip enumerate str parent cv2_imread locals __import__ globals dict setApplicationName setPalette QDarkPalette Path show str initialize log_info setWindowIcon addApplicationFont AA_EnableHighDpiScaling setStyle setFont gettempdir setAttribute QApplication path_contains app_icon MainWindow exec_ parent QFont raise_ AA_UseHighDpiPixmaps | yfsin/deepfake_pro | 4,197 |
yhcc/BertForRD | ['word embeddings'] | ['BERT for Monolingual and Cross-Lingual Reverse Dictionary'] | mix/data/loader.py mono/train_en_bert.py joint/data/pipe.py mix/train_mix_bert.py mix/model/metrics.py joint/model/metrics.py joint/model/bert.py mix/model/bert.py joint/model/callback.py joint/train_bi_bert.py mono/model/metrics.py mono/data/pipe.py mono/train_en_roberta.py mono/model/bert.py mix/data/pipe.py joint/train_joint_bert.py mono/train_cn_bert.py mono/model/callbacks.py mono/data/probe.py joint/data/loader.py joint/data/utils.py mono/data/loader.py joint/data/probe.py mix/model/loss.py mix/train_pair_bert.py get_data get_data BiAlignLoader JointAlignLoader JointAlignBertPipe BiAlignedBertPipe read_target_words is_target_word_unique is_all_target_words_bpe_speratable number_recognizied_word is_target_word_contain_all_word clip_max_length reverse_grad_hook LMBertForMaskedLM JointBertReverseDict BiBertReverseDict LMBertModel FitlogCallback SummaryMetric BiMetric JointMetric get_data get_data MixUnAlignLoader read_dataset BiUnAlignLoader MixUnalignBertPipe JointBertReverseDict reverse_grad_hook MixLoss SaveMetric get_data get_data get_data EnLoader CnLoader ENBertPipe CNBertPipe ENRobertaPipe _prepare_data_bundle number_recognizied_word read_target_words ENBertReverseDict CNBertReverseDict RDBertForMaskedLM RDRobertaForMaskedLM ENRobertaReverseDict FitlogCallback MonoMetric load process from_pretrained expanduser print print print format from_pretrained join list print set expanduser tokenize list has_field print add_seq_len apply_field iter_datasets len DataSet process_from_file max setattr set_input set_pad_val DataSet get_dataset_names convert_tokens_to_ids target_words extend get_dataset split append set_dataset set_target tokenize range len read_target_words | yhcc/BertForRD | 4,198 |
yhlleo/DeepSegmentor | ['depth estimation', 'monocular depth estimation', 'superpixels'] | ['Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture'] | models/deepcrack_networks.py options/train_options.py data/image_folder.py tools/guided_filter.py eval/data_io.py eval/segment_metrics.py train.py data/__init__.py plots/display_curves.py data/roadnet_dataset.py util/image_pool.py eval/eval.py models/__init__.py util/get_data.py models/base_model.py tools/calculate_weights.py util/html.py models/deepcrack_model.py options/base_options.py test.py util/__init__.py data/base_dataset.py eval/prf_metrics.py models/roadnet_networks.py data/utils.py util/util.py models/roadnet_model.py tools/image_crop.py data/deepcrack_dataset.py options/__init__.py models/networks.py options/test_options.py util/visualizer.py BaseDataset __flip get_transform __crop __make_power_2 __print_size_warning __scale_width get_params DeepCrackDataset is_image_file ImageFolder default_loader make_dataset RoadNetDataset get_params MaskToTensor convert_from_color_annotation affine_transform CustomDatasetDataLoader get_option_setter find_dataset_using_name create_dataset imread get_image_pairs save_results get_statistics cal_prf_metrics cal_semantic_metrics get_statistics cal_global_acc BaseModel DeepCrackModel BinaryFocalLoss DeepCrackNet define_deepcrack get_norm_layer PixelDiscriminator GANLoss ResnetGenerator ResnetBlock define_D UnetGenerator UnetSkipConnectionBlock init_weights get_scheduler init_net NLayerDiscriminator cal_gradient_penalty define_G RoadNetModel define_roadnet RoadNet get_option_setter create_model find_model_using_name BaseOptions TestOptions TrainOptions reverse_weight get_weights calculate_weights crop_info imageCrop GetData HTML ImagePool print_numpy diagnose_network mkdirs mkdir save_image tensor2im save_images Visualizer crop_size randint maximum load_size Grayscale Lambda Resize crop_size RandomCrop RandomHorizontalFlip append int size round __print_size_warning int size size print is_image_file join sorted append walk uniform getRotationMatrix2D warpAffine float32 items list all astype zeros items list import_module replace find_dataset_using_name CustomDatasetDataLoader load_data threshold COLOR_BGR2RGB THRESH_BINARY resize cvtColor join format glob zip append imread arange get_statistics print astype zip append sum sum arange get_statistics print astype cal_global_acc zip append sum range shape append shape range DeepCrackNet BatchNorm2d partial InstanceNorm2d LambdaLR CosineAnnealingLR ReduceLROnPlateau StepLR print apply init_weights to DataParallel ResnetGenerator UnetGenerator get_norm_layer NLayerDiscriminator PixelDiscriminator get_norm_layer view size rand grad mean requires_grad_ netD to RoadNet items list replace print exit import_module find_model_using_name print __name__ find_model_using_name model join glob unique zip IMREAD_UNCHANGED imread median min join str crop_info format imwrite print write close shape imread range open data isinstance transpose tile Tensor numpy print parameters fromarray save print float64 astype flatten shape mkdir makedirs fromarray join list basename items get_image_dir add_images shape BICUBIC array add_header resize append save_image tensor2im | yhlleo/DeepSegmentor | 4,199 |
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