repo
stringlengths 8
116
| tasks
stringlengths 8
117
| titles
stringlengths 17
302
| dependencies
stringlengths 5
372k
| readme
stringlengths 5
4.26k
| __index_level_0__
int64 0
4.36k
|
|---|---|---|---|---|---|
vered1986/NC_Embeddings | ['word embeddings'] | ['A Systematic Comparison of English Noun Compound Representations'] | source/training/compositional/matrix_similarity.py source/evaluation/attributes/dataset_reader.py source/training/compositional/full_add_similarity.py source/training/compositional/composition_model.py source/evaluation/common.py source/training/distributional/word2vec/train_word2vec.py source/evaluation/attributes/classifier.py source/evaluation/classification/__init__.py source/training/__init__.py source/training/distributional/corpus_reader.py source/training/paraphrase_based/nc_paraphrases_dataset_reader.py source/training/distributional/common.py source/evaluation/classification/dataset_reader.py source/training/distributional/preprocessing/extract_ngrams_and_windows.py source/__init__.py source/training/paraphrase_based/paraphrase_composition_model.py source/training/compositional/compute_vectors.py source/evaluation/top_k/top_k.py source/training/distributional/fasttext/train_fasttext.py source/evaluation/classification/evaluation.py source/training/distributional/preprocessing/tokenize_corpus.py source/evaluation/__init__.py source/training/paraphrase_based/compute_vectors.py source/training/compositional/nc_dataset_reader.py source/evaluation/attributes/evaluation.py source/training/distributional/__init__.py source/training/compositional/add_similarity.py source/evaluation/classification/classifier.py source/evaluation/compute_any_vector.py load_binary_embeddings load_text_embeddings most_similar_word NCParaphraseDatasetReaderForWords compute_compositional_vectors SingleWordCompositionModel NCDatasetReaderForWords compute_vectors main DatasetReader output_predictions main DatasetReader evaluate output_predictions main AddSimilarity CompositionModel main FullAddSimilarity MatrixSimilarity NCDatasetReader save_gensim_vectors CorpusReader main main get_sentences_with_bigrams corpus_size main main main NCParaphraseDatasetReaderForWords NCParaphraseDatasetReader CompositionModel load abs sum abs sum vstack get dot int list load_text_embeddings endswith group set info keys model single_word_composition_model tqdm warning info Predictor text_to_instance load_archive getLogger output_predictions model_dir abspath ArgumentParser DEBUG setLevel argmax addHandler LogisticRegression dataset_prefix append parse_args precision_recall_fscore_support predict index2label dump format DatasetReader group StreamHandler mkdir info model_path FileHandler int add_argument LinearSVC labels zeros noun_compounds compute_vectors fit out_model_dir in_model_path evaluate precision_recall_fscore_support classification_report labels most_similar_word join load_text_embeddings embedding_dim print is_compositional emb_file composition_model_path model NCDatasetReader Predictor load_archive CorpusReader basicConfig corpus FastText save_gensim_vectors output_dir save corpus_size replace product tqdm lower split get enumerate communicate int exists Popen load create_pipe add_pipe Word2Vec | vered1986/NC_Embeddings | 4,000 |
vered1986/lexcomp | ['word embeddings'] | ['Still a Pain in the Neck: Evaluating Text Representations on Lexical Composition'] | preprocessing/annotation/an_classification/qualification/create_qualification_test.py preprocessing/annotation/vpc/qualification/create_qualification_test.py diagnostic_classifiers/dataset_readers/sequence_labeling_dataset_reader.py diagnostic_classifiers/models/seq_label_model.py preprocessing/get_sentences_from_bnc.py diagnostic_classifiers/predictors/seq_label_predictor.py diagnostic_classifiers/__init__.py diagnostic_classifiers/models/__init__.py preprocessing/corpus/tokenize_corpus.py diagnostic_classifiers/dataset_readers/sentence_word_dataset_reader.py diagnostic_classifiers/dataset_readers/sentence_span_sentence_classification_dataset_reader.py diagnostic_classifiers/models/sentence_span_sentence_classification_model.py diagnostic_classifiers/dataset_readers/__init__.py diagnostic_classifiers/predictors/sentence_span_classification_predictor.py preprocessing/annotation/lvc/qualification/__init__.py diagnostic_classifiers/predictors/sentence_span_sentence_classification_predictor.py diagnostic_classifiers/models/sentence_span_classification_model.py diagnostic_classifiers/predictors/__init__.py diagnostic_classifiers/dataset_readers/sentence_and_span_classification_dataset_reader.py preprocessing/annotation/vpc/qualification/__init__.py preprocessing/annotation/lvc/qualification/create_qualification_test.py diagnostic_classifiers/models/sentence_word_classification_model.py diagnostic_classifiers/predictors/sentence_word_predictor.py preprocessing/annotation/an_classification/qualification/__init__.py SentenceSpanClassificationDatasetReader SentenceSpanSentenceClassificationDatasetReader SentenceWordDatasetReader SeqLabelReader SentenceSpanClassificationModel SentenceSpanSentenceClassificationModel SentenceWordClassificationModel SeqLabeler SentenceSpanClassificationPredictor SentenceSpanSentenceClassificationPredictor SentenceWordPredictor SeqLabelerPredictor main BNCDatasetReader main main main main join out_path dataset_path bnc_path info BNCDatasetReader print read create_qualification_type client load create_pipe add_pipe | vered1986/lexcomp | 4,001 |
verlab/SemanticFastForward_JVCI_2018 | ['video stabilization'] | ['Making a long story short: A Multi-Importance fast-forwarding egocentric videos with the emphasis on relevant objects'] | CoolNet/Scripts/mycaffe.py CoolNet/Scripts/convert_mean.py CoolNet/Scripts/classifier.py CoolNet/Scripts/extract_feats.py check_opencv_version is_cv2 convert_cvmat_caffeio convert_cvmat_caffeio mycaffe | verlab/SemanticFastForward_JVCI_2018 | 4,002 |
vgsatorras/few-shot-gnn | ['few shot learning', 'active learning'] | ['Few-Shot Learning with Graph Neural Networks', '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 | vgsatorras/few-shot-gnn | 4,003 |
vhvkhoa/sort | ['multiple object tracking'] | ['Simple Online and Realtime Tracking'] | goturn.py sort.py get_args update_tracker verify_bbox main draw_roi draw_bbox KalmanBoxTracker iou Sort convert_bbox_to_z associate_detections_to_trackers convert_x_to_bbox parse_args add_argument ArgumentParser polylines reshape str putText FONT_HERSHEY_SIMPLEX rectangle array float abs VideoCapture CAP_PROP_FRAME_HEIGHT input_roi_dir VideoWriter verify_bbox CAP_PROP_FPS CAP_PROP_FRAME_COUNT list tolist append video_extension range get update concatenate glob init zip draw_roi CAP_PROP_FRAME_WIDTH enumerate load join int read iou TrackerCSRT_create print input_video_dir write tqdm zeros draw_bbox array minimum maximum float sqrt linear_assignment iou concatenate reshape append zeros empty enumerate add_argument ArgumentParser | vhvkhoa/sort | 4,004 |
vicaws/arbitragerepair | ['density estimation'] | ['Detecting and repairing arbitrage in traded option prices'] | arbitragerepair/repair.py arbitragerepair/constraints.py _constrain_cs _constrain_cvs _prepare_dataframe _constrain_outright _constrain_vb Normalise detect _constrain_cbs _constrain_vs l1 l1ba _constrain_cs format _constrain_cvs _constrain_vb _prepare_dataframe _constrain_outright print hstack vstack _constrain_cbs sum _constrain_vs reset_index ngroup concat shift cumcount sort_values unique transform zeros DataFrame fillna values zeros astype copy hstack copy vstack unique zeros diag zeros unique copy arange astype outer copy nonzero zeros sum values arange hstack astype outer copy vstack nonzero zeros sum values sum arange hstack astype outer copy vstack nonzero zeros DataFrame values format ones print hstack lp flatten vstack matrix array format print block min hstack lp flatten eye zeros matrix diag | vicaws/arbitragerepair | 4,005 |
vicmak/TurnOfTheScrew | ['word embeddings'] | ['Sensing Ambiguity in Henry James\' "The Turn of the Screw"'] | Screw.py ScrewIndicative.py ScrewWordListAnalysis.py ScrewKL.py ScrewLDA.py ScrewCompareTwoBooks.py separate_punctuation calc_semantic_distance analyze_publication_timeline analyze_chapters_punctuation calc_wmd_distance ExtractAlphanumeric analyze_chapters_timeline separate_punctuation calc_wmd_distance read_text extract_alphanumeric single_KL ExtractAlphanumeric read_files separate_punctuation ExtractAlphanumeric get_chapters_timeline separate_punctuation ExtractAlphanumeric replace float len similarity str print float range count str print calc_wmd_distance ExtractAlphanumeric range str calc_semantic_distance print ExtractAlphanumeric range walk str print ExtractAlphanumeric append range | vicmak/TurnOfTheScrew | 4,006 |
victorchan314/arterial_traffic_flow_predictor | ['traffic prediction'] | ['A Graph Convolutional Network with Signal Phasing Information for Arterial Traffic Prediction'] | scripts/model_runner.py models/model.py models/baselines/seasonal_naive.py scripts/generate_training_data.py scripts/predictions_metrics.py scripts/generate_graph_connections.py scripts/grapher.py models/baselines/sarimax.py lib/armax.py lib/mysql_utils.py old/network.py scripts/append_unhealthy_dcrnn_experiments_loop.py old/main.py models/models.py lib/preprocessing.py scripts/experiment_runner.py scripts/experiment_metrics.py scripts/append_unhealthy_dcrnn_experiments.py models/baselines/constant.py models/dcrnn_wrapper.py scripts/generate_edges.py lib/utils.py lib/visualization.py lib/data_utils.py scripts/table_metrics.py armax flatten_circulant_like_matrix_by_stretches convert_to_fourier_day pad_array mae mse get_groundtruth_from_y get_stretches get_stretches_larger_than_freq mape rmse get_standard_errors zero_out_detectors mase compare_timedeltas zero_out_days connect_to_database query execute_query fillna_with_data_mean seasonal_decomposition_interpolation_imputation test_imputation_sequential get_longest_missing_data_stretch_length test_imputation_random get_longest_continuous_stretch_of_data reindex_with_nans fillna_with_means load_yaml proxy_print get_subdir Namespace concatenate_functions load_predictions get_type_by_name Tee DataAugmenter run_process_list_sequential verify_or_create_path ordered_tuple_product dictionary_product save_yaml run_process_list_parallel update_config_with_dict_override plot_fundamental_diagram plot_data_over_time DCRNN Model ModelNotTrainedException Constant SARIMAX SeasonalNaive query_detector_data query_detector_data adapt_dcrnn_configs_to_unhealthy_dcrnn_folder get_latest_dcrnn_config_path update_model_runner_config_for_unhealthy_dcrnn main get_dcrnn_logdir main main build_metrics_table populate_inputs create_experiment_structure copy_dcrnn_configs update_model_runner_override main run_models copy_model_runner_config create_training_data add_self_edges main generate_graph_connections get_detector_data generate_array_splits filter_detector_data_by_num_detectors get_sensors_list process_detector_data create_3d_detector_data_array get_long_enough_stretch_indices clean_detector_data process_timeseries_detector_data generate_dummy_data generate_timeseries_splits save_timestamps main create_4d_detector_data_array process_array_detector_data graph_predictions graph_predictions_and_baselines graph_predictions_and_baselines_condensed graph4 graph5 plot_fundamental_diagram_color_by_plan get_one_detector_data plot_data_over_time graph_detector_data_time_series graph_predictions_condensed main extract_flat_data fit_dates_to_timestamps run_config loop_config load_models get_augment_function load_data run_configs main run_models main load_predictions print_errors_latex print_errors main get_weekday_experiment_dir build_metrics_table abs sum values cos pi sin append dayofweek range column_stack empty concatenate flatten T concatenate flatten T concatenate zeros concatenate connect execute connect_to_database cursor exit close query arange min to_pydatetime reindex max flatten reindex_with_nans range len mean reindex_with_nans seasonal_decompose fillna fillna_with_data_mean observed seasonal resid plot_data_over_time trend interpolate nan reindex_with_nans clip fillna_with_means concatenate index flatten dropna argmax flatten dropna max index subplots get_longest_continuous_stretch_of_data mase values show len get_longest_missing_data_stretch_length title mape legend append sum range format plot int index imputation_function randint drop subplots drop get_longest_continuous_stretch_of_data values show get_longest_missing_data_stretch_length title mape legend append sum range format plot int index imputation_function randint len list product join format insert map append load list product start join start join deepcopy list items split makedirs show subplots plot xlabel ylabel title autofmt_xdate show xlabel ylabel title scatter ylim xlim plot_fundamental_diagram format plot_data_over_time query append array datetime set_index extend list join list max load_yaml join listdir format get_latest_dcrnn_config_path get_dcrnn_logdir save_yaml verify_or_create_path deepcopy sep join split load_yaml join format adapt_dcrnn_configs_to_unhealthy_dcrnn_folder experiment_folder model_experiment debug update_model_runner_config_for_unhealthy_dcrnn loop_config save_yaml Namespace base_dir repredict join format Namespace len extend splitlines predictions_metrics range split list items build_metrics_table print experiment_dir dcrnn_only horizons detectors round split_name join format copy strftime verify_or_create_path join generate_graph_connections format Namespace split run update join Process Namespace copy start append load_yaml join deepcopy format get_subdir save_yaml verify_or_create_path update_config_with_dict_override len deepcopy load_yaml deepcopy join format get_subdir save_yaml update_config_with_dict_override model_runner Namespace config get populate_inputs create_experiment_structure map copy_dcrnn_configs verbose update_model_runner_override run_models copy_model_runner_config create_training_data len int range values split list columns Series dict zip append execute_query generate_graph_connections set_index plan_name add_self_edges distances_path detector_list exit copy to_csv DataFrame read_csv randint random_sample hstack startswith list map split join execute_query format datetime DataFrame append date read_csv values sort sorted filter unique groupby max format get_group print min get_long_enough_stretch_indices vstack zeros empty array range values enumerate groupby format get_group concatenate print get_long_enough_stretch_indices vstack zeros empty array values enumerate flatten get_stretches format filter_detector_data_by_num_detectors print clean_detector_data shape len format print process_detector_data create_3d_detector_data_array shape format print process_detector_data shape create_4d_detector_data_array update join format arange print shape round verify_or_create_path savez_compressed update join format print shape round verify_or_create_path savez_compressed join verify_or_create_path savez_compressed get_detector_data x_offset output_dir features start_time_buffer split_by_day get_subdir literal_eval timestamps_dir generate_splits_func weekday_only end_time_buffer timeseries range process_detector_data_func dummy generate_array_splits detector_list_path get_sensors_list y_offset save_timestamps generate_dummy_data get_detector_data set_title set show format xlabel get_one_detector_data ylabel scatterplot title ylim legend xlim subplots arange concat datetime_as_string values show autofmt_xdate legend append sort_values range get_position format plot set_xticklabels set_position set zip suptitle get_one_detector_data subplots_adjust set_xticks swapaxes flatten_circulant_like_matrix_by_stretches get_stretches subplots arange flatten datetime_as_string show strftime legend fit_dates_to_timestamps range format cmap plot set_xticklabels set_xlim get_stretches_larger_than_freq set get_stretches timedelta get_cmap enumerate suptitle set_xticks subplots arange add_subplot delete flatten set_visible get_loc datetime_as_string tick_params show strftime title legend fit_dates_to_timestamps format plot set_xticklabels set_xlim get_stretches_larger_than_freq get_stretches enumerate xlabel set_yticks subplots_adjust set_ylabel set_xticks arange flatten datetime_as_string xticks show ylabel strftime title legend fit_dates_to_timestamps format plot get_stretches_larger_than_freq get_stretches timedelta zip xlim enumerate xlabel figure subplots arange add_subplot flatten set_visible datetime_as_string tick_params show strftime title legend fit_dates_to_timestamps format plot set_xticklabels set_xlim get_stretches_larger_than_freq get_stretches zip enumerate xlabel set_yticks subplots_adjust set_ylabel set_xticks join graph_predictions load_predictions maximum graph_predictions_condensed extract_flat_data join graph_func load_predictions maximum extract_flat_data graph5 graph4 graph plot_fundamental_diagram_color_by_plan graph_detector_data_time_series print format get get_sensors_list concatenate_functions zero_out_detectors append zero_out_days items list format model_class join isinstance save_predictions print min close load_models get_errors train range max verify_or_create_path len get DataAugmenter copy load_data get_augment_function run_models run_config type_cast run_config tuple ordered_tuple_product substitute values Process list all append get get_type_by_name Template items deepcopy isinstance dictionary_product run_process_list_parallel split run_config join sorted format items print load_predictions round get_standard_errors listdir join sorted int format items proxy_print load_predictions transpose astype reduce upper round get_standard_errors unique findall listdir keys values print_errors not_latex groundtruth_from_sensor_data no_plan_ts_dir logdir do_not_print phase_plans_csv split list listdir get_weekday_experiment_dir table | victorchan314/arterial_traffic_flow_predictor | 4,007 |
vidit2011998/neuralstyletransfer | ['style transfer'] | ['A Neural Algorithm of Artistic Style'] | main.py compute_style_cost model_nn compute_content_cost gram_matrix compute_layer_style_cost total_cost as_list reshape transpose reduce_sum transpose matmul as_list reshape transpose reduce_sum gram_matrix compute_layer_style_cost run str print assign global_variables_initializer save_image range run | vidit2011998/neuralstyletransfer | 4,008 |
viditjain99/DL-Cycle-Consistent-Variational-Autoencoder | ['data augmentation'] | ['Disentangling Factors of Variation with Cycle-Consistent Variational Auto-Encoders'] | convert_data.py load_data int remove str print moveaxis len append listdir array open | viditjain99/DL-Cycle-Consistent-Variational-Autoencoder | 4,009 |
vijaydwivedi75/Beyond_word2vec | ['word embeddings', 'semantic textual similarity'] | ['Beyond Word2Vec: Embedding Words and Phrases in Same Vector Space'] | siamese_mlp.py siamese_lstm.py evals.py preprocess_data.py word2VecTF.py preprocess_data_lstm.py eval_nearby_phrases eval_nearby_phrases_for_phrase eval_analogies eval_nearby_words main build_dictionary getWords get_pp word_to_vec word_to_dict dataset build_dictionary getSemEval getWords get_pp embed_dim vocab_size word_to_vec word_to_dict dataset contrastive_loss eucl_dist_output_shape create_base_network euclidean_distance compute_accuracy contrastive_loss eucl_dist_output_shape create_base_network euclidean_distance compute_accuracy plot_with_labels build_dataset read_data generate_batch l2_normalize print transpose matmul stack eval range InteractiveSession str print write close matmul stack eval top_k open gather range InteractiveSession l2_normalize print transpose matmul stack eval range InteractiveSession l2_normalize print transpose matmul stack eval range InteractiveSession eval_nearby_phrases_for_phrase list extend dict zip append most_common keys values len list word_to_vec append word_to_dict range split word_tokenize list word_to_vec append word_to_dict range split LSTM Dropout Sequential add Dense list extend dict zip append most_common keys values len ndarray deque randint range append len scatter savefig figure annotate enumerate | vijaydwivedi75/Beyond_word2vec | 4,010 |
vijini/FM-GAN | ['text generation', 'adversarial text', 'style transfer'] | ["Adversarial Text Generation via Feature-Mover's Distance"] | pycocoevalcap/cider/cider.py src/model.py src/char_preprocessing.py src/textGAN_arxiv.py src/model2.py pycocoevalcap/cider/__init__.py pycocoevalcap/rouge/__init__.py pycocoevalcap/cider/cider_scorer.py pycocoevalcap/meteor/__init__.py pycocoevalcap/bleu/bleu.py pycocoevalcap/rouge/rouge.py pycocoevalcap/tokenizer/ptbtokenizer.py src/autoencoder.py src/denoise.py src/textGAN_coco.py pycocoevalcap/__init__.py src/error_rate.py src/rougescore.py src/textGAN_news.py src/utils.py eval/selfbleu_arxiv.py src/data_utils.py pycocoevalcap/eval.py pycocoevalcap/bleu/__init__.py src/autoencoder_arxiv.py pycocoevalcap/tokenizer/__init__.py src/char_correction.py src/convert_news.py eval/testBleu_arxiv.py src/textGAN_news2.py pycocoevalcap/bleu/bleu_scorer.py pycocoevalcap/meteor/meteor.py score clean_str COCOEvalCap Bleu precook BleuScorer cook_test cook_refs Cider precook CiderScorer cook_test cook_refs Meteor my_lcs Rouge PTBTokenizer main auto_encoder run_model Options main auto_encoder run_model Options main auto_encoder run_model Options prepare_data_for_charCNN pad_sentence idx2sent string_to_int8_conversion data_to_token_ids gunzip_file initialize_vocabulary get_wmt_enfr_train_set get_wmt_enfr_dev_set prepare_wmt_data prepare_data create_vocabulary sentence_to_token_ids basic_tokenizer maybe_download add_noise add_sent substitute_sent substitute_sent_char delete_sent mixed_noise_sent permutate_sent gain_matrix reward_matrix cal_cer _edit_distance_matrix prepare_for_cer edit_distance wer _bleu conv_model_3layer_old conv_encoder conv_model_3layer embedding_only cost_matrix rnn_decoder_with_sample compute_MMD_loss deconv_model conv_model_4layer sinkhorn_loss rnn_decoder_custom_embedding discriminator deconv_model_3layer rnn_decoder_truncated conv_model discriminator_2layer lstm_decoder_embedding embedding vae_classifier_2layer deconv_decoder regularization _extract_argmax_and_embed deconv_model_4layer sinkhorn_normalized discriminator_2layer_z conv_model_3layer_old IPOT_distance conv_encoder conv_model_3layer embedding_only cost_matrix rnn_decoder_with_sample compute_MMD_loss deconv_model conv_model_4layer sinkhorn_loss rnn_decoder_custom_embedding discriminator deconv_model_3layer rnn_decoder_truncated conv_model discriminator_2layer lstm_decoder_embedding IPOT embedding vae_classifier_2layer deconv_decoder regularization _extract_argmax_and_embed deconv_model_4layer sinkhorn_normalized discriminator_2layer_z lcs _ngram_counts rouge_n _safe_f1 rouge_3 _ngrams rouge_1 _counter_overlap rouge_l _ngram_count rouge_2 _safe_divide textGAN run_model discriminator main encoder Options textGAN run_model discriminator main encoder Options textGAN run_model discriminator main encoder Options textGAN run_model discriminator main encoder Options prepare_data_for_rnn cal_ROUGE normalizing cal_BLEU lrelu log_mean_exp prepare_for_bleu read_data dropout uniform_weight ortho_weight _clip_gradients_seperate_norm sent2idx normal_weight _p prepare_data_for_cnn restore_from_save tensors_key_in_file cal_BLEU_4 cal_nkde zero_bias get_minibatches_idx sub compute_score zip defaultdict tuple split range len get items precook min append float sum max len items precook max range len Variable optimize_loss scalar load str print set_printoptions shape RunMetadata Saver ConfigProto load print loadtxt dict run_model n_words Options open len embedding deconv_decoder seq2seq identity lstm_decoder conv_encoder expand_dims char append list string_to_int8_conversion len load idx2sent open join urlretrieve st_size print stat mkdir print print join gunzip_file maybe_download print join maybe_download extend split print dict Exists basic_tokenizer tokenizer print initialize_vocabulary get_wmt_enfr_train_set get_wmt_enfr_dev_set data_to_token_ids join create_vocabulary add_sent substitute_sent_char substitute_sent delete_sent mixed_noise_sent permutate_sent permutation choice append range len permutation choice append n_words range len permutation choice append range len permutation insert choice append n_words range len add_sent delete_sent substitute_sent list choice append range len ones cumsum min set zeros range len defaultdict tuple zeros max range len join split zip len _edit_distance_matrix min tile range len append join embedding_lookup normalizing relu normalizing relu embedding_lookup conv_model_4layer conv_model identity conv_model_3layer discriminator_2layer stop_gradient expand_dims tensordot conv_model_3layer_old hasattr conv_model_4layer conv_model multiplier conv_model_3layer batch_size multiplier normalizing argmax get_variable tensordot sent_len deconv_model exp hasattr squeeze transpose L gather_nd cast discriminator discrimination range deconv_model_3layer log_softmax assert_equal stack sigmoid_cross_entropy_with_logits print reshape sigmoid reduce_mean deconv_model_4layer int32 acf batch_norm cnn_b cnn_W regularization conv2d constant_initializer reuse_cnn cnn_b cnn_W regularization conv2d constant_initializer reuse_cnn conv2d constant_initializer cnn_b cnn_W regularization conv2d constant_initializer reuse_cnn regularization conv2d_transpose regularization conv2d_transpose regularization conv2d_transpose fully_connected concat squeeze sequence_loss stack constant_initializer unstack linear regularization squeeze fully_connected constant_initializer linear regularization squeeze fully_connected constant_initializer dropout linear fully_connected squeeze constant_initializer sigma_range transpose matmul reduce_sum sqrt expand_dims niter sinkhorn_loss epsilon batch_size exp ones squeeze transpose reduce_sum range lse cost_matrix abs log M l2_normalize reduce_sum matmul expand_dims abs exp ones diag squeeze matmul scalar_mul cost_matrix range IPOT trace matmul batch_size deque append iteritems _safe_divide _ngram_counts _ngram_count len max enumerate len len embedding_only encoder embedding_lookup concat conv_model conv_model_3layer expand_dims tensordot compute_MMD_loss trainable_variables sigmoid_cross_entropy_with_logits IPOT_distance Variable print squeeze optimize_loss sqrt reduce_mean scalar sinkhorn_normalized maxlen filter_shape zip append array range astype zip append n_words max maxlen enumerate len str restore list save_path print tensors_key_in_file reuse_discrimination set Saver keys NewCheckpointReader append range arange shuffle sqrt square reduce_sum binomial shape svd randn uniform randn zeros sum max sqrt pi log scan rouge_n compute_score rouge_l range enumerate split len compute_score enumerate zip len compute_score enumerate zip append join list zip | vijini/FM-GAN | 4,011 |
vijit-m/Adv-OLM | ['text classification'] | ['Adv-OLM: Generating Textual Adversaries via OLM'] | olm/occlusion/__init__.py olm/occlusion/strategies/lm_sampling.py olm/occlusion/strategies/__init__.py attack_main.py olm/occlusion/strategy.py olm/instances.py console.py olm/visualization/__init__.py olm/occlusion/strategies/unk_replace.py olm_class.py search_method.py olm/occlusion/strategies/gradient.py utils.py adv_olm.py olm/occlusion/explainer_allennlp.py olm/occlusion/strategies/delete.py olm/config.py olm/engine.py olm/occlusion/explainer.py olm/__init__.py AdvOLM Console OLM OLMWordSwap read_imdb_dataset words_from_text write_to_csv Config Engine weight_of_evidence difference_of_log_probabilities calculate_correlation OccludedInstance InputInstance DeletedTokenField OccludedTokenField TokenField GradxInputExplainer VanillaGradExplainer IntegrateGradExplainer SaliencyExplainer AllenNLPGradxInputExplainer AllenNLPSaliencyExplainer AllenNLPVanillaGradExplainer AllenNLPIntegrateGradExplainer OcclusionStrategy std_relevance_scoring average_relevance_scoring Strategy GradientStrategy Delete Gradient BertLmSampling UnkReplacement visualize_relevances from_pretrained WordEmbeddingDistance InputColumnModification AutoTokenizer UniversalSentenceEncoder UntargetedClassification HuggingFaceModelWrapper set Attack OLMWordSwap WordSwapEmbedding append PartOfSpeech append join isalnum split from_pretrained join int replace append words_from_text tokenize read_csv enumerate writer writerow len close append range open items list defaultdict append values sum join list items tokens append abs max values enumerate | vijit-m/Adv-OLM | 4,012 |
vikramkarthikeyan/Face-R-FCN | ['face detection'] | ['Detecting Faces Using Region-based Fully Convolutional Networks'] | models/rfcn.py models/pycocotools/__init__.py AverageMeter.py models/psroi/psroi_pooling.py models/setup.py models/psroi_pooling/_ext/psroi_pooling/__init__.py models/rpn/_proposal_layer.py models/rpn/anchor_target_layer.py models/psroi_pooling/functions/psroi_pooling.py models/utils/image_processing.py Trainer.py plotting.py inference.py models/pycocotools/mask.py training.py models/utils/config.py models/utils/anchors.py models/rpn/rpn.py models/psroi_pooling/modules/psroi_pool.py EarlyStopping.py models/pycocotools/coco.py models/rpn/proposal_layer.py loaders/WiderfaceDataset.py models/psroi_pooling/build.py models/Hook.py models/rpn/proposal_target_layer.py models/utils/image_plotting.py models/resnets.py loss_plot.py models/config/rpn_config.py models/config/resnet_config.py models/pycocotools/cocoeval.py models/config/rfcn_config.py models/prroi_pool/_prroi_pooling/__init__.py AverageMeter EarlyStopper main bbox_transform custom_collate nms_numpy Trainer plot_boxes calc_IOU get_regions WiderFaceDataset Hook conv1x1 resnext50_32x4d ResNet resnet50 resnext101_32x8d Bottleneck resnet152 conv3x3 resnet34 resnet18 BasicBlock RFCN_resnet resnet101 _RFCN cross_entropy find_in_path customize_compiler_for_nvcc custom_build_ext _import_symbols PSRoIPool PSRoIPoolingFunction PSRoIPoolingFunction PSRoIPool _import_symbols COCO Params COCOeval plot_layer_outputs _AnchorLayer resize_image get_bbox_targets clip_boxes_batch bbox_transform nms_numpy _ProposalLayer filter_boxes _ProposalTargetLayer get_bbox_targets _sample_rois_pytorch bbox_transform_batch bbox_transform_batch_old _get_bbox_regression_labels_pytorch bbox_overlaps_vectorized RPN clip_boxes_batch bbox_transform nms_numpy _ProposalLayer filter_boxes calc_IOU generate_anchors calc_IOU2 calc_IOU_vectorized_tmp calc_IOU_vectorized calc_IOU_vectorized_ cfg_from_list get_output_tb_dir cfg_from_file _merge_a_into_b get_output_dir plot_boxes scale_boxes_batch scale_boxes plot xlabel ylabel title savefig figure read_csv format subplots add_patch imshow savefig Rectangle cpu array enumerate shape exp full argsort clip append calc_IOU print min shape append max range float min max 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 ResNet ResNet clamp pathsep pjoin exists split append _compile compiler_so dir _wrap_function getattr append callable shape full log ANTIALIAS tuple size new paste resize float max getcwd add_patch imshow savefig Rectangle gca resize_image open nan_to_num fill copy zeros_like arange rand verbose floor tensor bbox_overlaps_vectorized max view numel range cat get_bbox_targets size zero_ long print type_as min gc_collect _get_bbox_regression_labels_pytorch calc_IOU_vectorized unsqueeze append range cat print stack shape log10 full view size numel zero_ range float new_full shape sort lt clamp append range minimum transpose maximum split print T max maximum view min t tensor max float min max join EXP_DIR name abspath ROOT_DIR makedirs join EXP_DIR name abspath ROOT_DIR makedirs items list ndarray isinstance type array _merge_a_into_b literal_eval zip split show str append int float | vikramkarthikeyan/Face-R-FCN | 4,013 |
vincentzhang/roi-fcn | ['object localization'] | ['End-to-end detection-segmentation network with ROI convolution'] | tools/bbox_iou.py lib/setup.py tools/compute_mean_socket.py lib/fast_rcnn/bbox_transform.py lib/datasets/factory.py lib/rpn/__init__.py lib/utils/__init__.py lib/roi_data_layer/roidb.py tools/gen_gt_img_from_h5.py lib/datasets/acce.py tools/test_net_seg.py tools/plot_rois.py tools/compute_mean.py lib/datasets/hip.py tools/parse_log_ins.py lib/rpn/proposal_target_layer.py tools/get_mean_acce.py tools/parse_log_sort_dice_rpn.py lib/datasets/socket.py lib/rpn/roi_target_layer.py tools/transplant.py lib/pycocotools/coco.py tools/parse_caffemodel.py lib/roi_data_layer/img_layer.py tools/train_faster_rcnn_alt_opt.py lib/transform/torch_image_transform_layer.py lib/datasets/__init__.py tools/myround.py tools/plot_loss_acc_from_log.py tools/train_svms.py tools/demo.py lib/fast_rcnn/train.py tools/plot_log_ins.py lib/rpn/generate.py lib/rpn/anchor_target_layer.py tools/train_net.py lib/fast_rcnn/__init__.py lib/datasets/ds_utils.py tools/reval.py tools/overlay_seg_socket.py tools/bbox_from_seg_hip.py tools/check_num_bbox_socket.py lib/datasets/ins.py lib/rpn/generate_anchors.py lib/datasets/imdb.py tools/metric_from_hist.py lib/datasets/pascal_voc.py lib/datasets/voc_eval.py tools/get_bbox_stats.py lib/pycocotools/cocoeval.py tools/score.py tools/vis_rois.py lib/utils/timer.py tools/convert_mat_to_h5.py tools/eval_recall.py tools/bbox_from_seg.py tools/plot_box_iou.py tools/test_net.py lib/datasets/tools/mcg_munge.py tools/overlay_seg.py lib/autoseg/autoseg.py lib/roi_data_layer/layer.py lib/roi_data_layer/minibatch.py lib/pycocotools/mask.py tools/time_open_img.py tools/verify_transplant.py tools/demo_hip.py tools/compress_net.py lib/fast_rcnn/test.py tools/check_num_bbox.py tools/rpn_generate.py tools/read_vis_seg.py lib/pycocotools/__init__.py lib/nms/py_cpu_nms.py lib/rpn/proposal_layer.py lib/roi_data_layer/__init__.py tools/vis_bbox.py tools/demo_det.py tools/surgery.py tools/VOClabelcolormap_hor.py lib/fast_rcnn/nms_wrapper.py tools/scan_all_imgs.py tools/gen_bbox_ac.py tools/_init_paths.py data/scripts/google_drive.py lib/utils/blob.py lib/datasets/coco.py tools/check_label.py lib/fast_rcnn/config.py tools/gen_socket_split.py download_file_from_google_drive find_in_path customize_compiler_for_nvcc custom_build_ext locate_cuda load_model autoseg acce coco _filter_crowd_proposals unique_boxes xywh_to_xyxy validate_boxes xyxy_to_xywh filter_small_boxes get_imdb list_imdbs hip hiph5 imdb ins pascal_voc socket parse_rec voc_eval voc_ap munge clip_boxes bbox_transform bbox_transform_inv cfg_from_file cfg_from_list get_output_dir _merge_a_into_b nms _project_im_rois vis_detections test_net_seg _get_image_label_blob compute_mean_metrics do_seg_tests_on_slices _get_blobs do_seg_tests im_seg compute_hist_imdb _get_rois_blob compute_metrics _get_image_blob apply_nms compute_hist_imdb_for_each_slice test_net im_detect compute_metrics_flat train_net get_training_roidb filter_roidb SolverWrapper py_cpu_nms COCO Params COCOeval BlobFetcherWithImgLabel RoIDataImgLayer RoIDataLayer BlobFetcher _project_im_rois _sample_rois get_minibatch_with_img_labels _vis_minibatch _get_image_blob _get_image_blob_and_label get_minibatch _get_bbox_regression_labels add_bbox_regression_targets prepare_roidb _compute_targets _unmap _compute_targets AnchorTargetLayer _vis_proposals _get_image_blob im_proposals imdb_proposals generate_anchors _scale_enum _whctrs _ratio_enum _mkanchors _filter_boxes ProposalLayer _sample_rois _compute_targets _get_bbox_regression_labels ProposalTargetLayer _fast_sample_rois _sample_rois _compute_targets RoITargetLayer _get_bbox_regression_labels TorchImageTransformLayer im_list_to_blob prep_im_for_blob label_list_to_blob prep_im_and_label_for_blob Timer gen_split compute_iou load_image_set_index read_bbox get_vol_names get_iou mask_from_box plot count_bbox main count_test_slices count_bbox main count_test_slices main parse_args compress_weights main main vis_seg load_index_from_gt load_img_label demo parse_args vis_seg load_index_from_gt load_img_label demo parse_args parse_args recall_at main main compute_mean_metrics read_hist_from_file main myround plot main parse_args from_dets parse_args main seg_tests compute_hist do_seg_tests fast_hist transplant upsample_filt expand_score interp parse_args parse_args _init_caffe train_fast_rcnn get_roidb train_rpn parse_args rpn_generate get_solvers parse_args combined_roidb SVMTrainer parse_args SVMClassTrainer plot resize plot resize color_map_viz color_map add_path get get_confirm_token save_response_content Session pathsep pjoin exists split find_in_path items list pjoin pathsep dirname sep append _compile compiler_so time format print GPU_ID cfg_from_file set_device set_mode_gpu Net TEST time format load_model isinstance print dstack set_mode_gpu im_seg imread iou toarray csr_matrix xyxy_to_xywh enumerate dot array unique int parse findall text append find arange concatenate size maximum sum max range parse_rec cumsum argmax max sum range eps format astype mkdir float enumerate minimum join print sort maximum voc_ap argsort zeros bool array len join format print rename splitext listdir makedirs transpose log dtype exp astype shape zeros minimum maximum join EXP_DIR name abspath ROOT_DIR makedirs items list ndarray isinstance type array _merge_a_into_b literal_eval zip split MAX_SIZE min astype float32 SCALES shape resize append im_list_to_blob float max uint8 label_list_to_blob MAX_SIZE astype float32 copy PIXEL_MEANS append im_list_to_blob SCALES prep_im_and_label_for_blob _project_im_rois hstack zeros float abs astype _get_rois_blob _get_image_blob data uint8 forward reshape astype float32 _get_blobs copy resize HAS_RPN array data SVM forward reshape clip_boxes astype float32 _get_blobs copy dot bbox_transform_inv shape unique tile HAS_RPN array BBOX_REG show minimum format add_patch imshow title Rectangle range cla nms range copy len vis_detections roidb nms num_classes tic imread range image_path_at im_detect image_index format evaluate_detections average_time hstack astype NMS HAS_RPN toc join print float32 get_output_dir len print do_seg_tests compute_hist_imdb_for_each_slice str compute_hist_imdb format compute_metrics_flat print sum diag print sum format print now nanmean sum diag channels im_seg save open fromarray get_label tic imread range image_path_at image_index get_image format asarray average_time mkdir toc rsplit int join print dstack data_path label_path_at zeros len channels fast_hist im_seg flatten save fromarray get_label tic range image_index get_image format average_time astype mkdir compute_metrics_flat toc rsplit int join print float32 dstack len prepare_roidb format print num_images USE_FLIPPED append_flipped_images SNAPSHOT_ITERS print format len print train_model filter_roidb SolverWrapper append maximum minimum vstack round _project_im_rois BATCH_SIZE ones len shape _get_image_blob range FG_FRACTION hstack astype HAS_RPN empty zeros _sample_rois float32 randint array BBOX_REG vstack _get_image_blob_and_label round _project_im_rois BATCH_SIZE ones len shape range FG_FRACTION hstack astype HAS_RPN empty zeros _sample_rois float32 randint array BBOX_REG minimum size choice append _get_bbox_regression_labels prep_im_for_blob PIXEL_MEANS imread range len rsplit asarray label_list_to_blob MAX_SIZE dstack PIXEL_MEANS open im_list_to_blob imread prep_im_and_label_for_blob range append len zeros BBOX_INSIDE_WEIGHTS shape show uint8 print astype copy add_patch imshow Rectangle range get_image rsplit int image_index toarray roidb get_size get_label label_path_at add_label argmax max range image_path_at len EPS BBOX_NORMALIZE_STDS print _compute_targets BBOX_NORMALIZE_MEANS BBOX_NORMALIZE_TARGETS_PRECOMPUTED mean sqrt BBOX_NORMALIZE_TARGETS tile zeros array range len bbox_transform ascontiguousarray zeros argmax bbox_overlaps fill empty format subplots set_title text draw axis tight_layout add_patch imshow Rectangle reshape forward _get_image_blob copy toc show format print average_time hstack _vis_proposals num_images im_proposals tic Timer imread range image_path_at vstack _ratio_enum array hstack sqrt _whctrs round _mkanchors _whctrs _mkanchors BBOX_NORMALIZE_STDS BBOX_NORMALIZE_MEANS BBOX_NORMALIZE_TARGETS_PRECOMPUTED array min _compute_targets ascontiguousarray bbox_overlaps argmax max int print size min ascontiguousarray choice bbox_overlaps zeros argmax max transpose zeros max range len min astype float32 shape resize float max zeros max range len uint8 min astype float32 shape resize float max seed join list sort File set_trace keys range print join join rsplit join compute_iou float sum mask_from_box zeros asarray format print load_image_set_index mean read_bbox get_vol_names append enumerate get_image get_label get_imdb num_images eval input range count_bbox count_test_slices print format print format add_argument exit print_help ArgumentParser dot svd diag data prototxt_svd format compress_weights print Net caffemodel dirname save parse_args prototxt TEST File close mean im_seg Timer getpalette max open vis_seg tic imread asarray format total_time astype from_list float toc print reshape load_img_label float32 len show nms format print add_subplot tight_layout GridSpec add_patch imshow savefig figure Rectangle color_map_viz len join gray set_title get_bbox get_imdb min num_images extend sqrt append max range loadtxt compute_mean_metrics read_hist_from_file count_nonzero show invert_yaxis set_xlim add_subplot add_patch Rectangle figure legend set_ylim show imshow imread set_trace matlab_eval evaluate_detections print get_imdb apply_nms NMS competition_mode comp_mode join asarray walk open fromarray join uint8 channels astype mkdir save zeros forward print do_seg_tests iter share_with net print channels compute_hist sum diag print params range flat len print shape upsample_filt data num format set_proposal_method print name PROPOSAL_METHOD get_imdb get_training_roidb join MODELS_DIR seed RNG_SEED GPU_ID set_device set_random_seed set_mode_gpu remove format print _init_caffe put train_net pprint get_roidb get_output_dir len join format print name get_imdb _init_caffe put Net pprint imdb_proposals TEST get_output_dir remove format print _init_caffe put train_net pprint get_roidb get_output_dir get_imdb imdb extend float prep_im_for_blob array get_bbox clear format set_title imshow ion resize array open zeros bitget array range show color_map set_xticklabels set_yticks imshow set_xticks xticks empty range yticks insert | vincentzhang/roi-fcn | 4,014 |
vineetjain96/one-shot-mann | ['one shot learning'] | ['One-shot Learning with Memory-Augmented Neural Networks'] | mann/utils/generators.py mann/utils/tf_utils.py mann/utils/similarities.py mann/model.py mann/utils/images.py omniglot.py omniglot build_argparser mann OmniglotGenerator transform_image get_sampled_data cosine_similarity variable_float32 variable_one_hot add_argument ArgumentParser OmniglotGenerator RMSPropOptimizer argmax Session run show softmax_cross_entropy_with_logits subplot _nb_samples ylabel _batch_size build_argparser placeholder title cast parse_args _input_height _input_width mann one_hot plot _nb_reads _learning_rate _iterations equal minimize xlabel _nb_classes reduce_mean _controller_size figure global_variables_initializer compute_output sample minimum asarray imresize shift maximum rotate imread max transpose matmul zeros | vineetjain96/one-shot-mann | 4,015 |
vinid/cade | ['word embeddings'] | ['Compass-aligned Distributional Embeddings for Studying Semantic Differences across Corpora', 'On the Impact of Temporal Representations on Metaphor Detection'] | tests/test_cade.py cade/cade.py cade/metrics/comparative.py cade/cli.py setup.py cade/__init__.py cade/metrics/stability.py tests/__init__.py CADE main c_measure lncs2 moving_lncs2 get_neighbors_set intersection_nn lncs2_setted get_mean_if_missing initialize_avgs stables shared_voc jumpers response test_content echo average append combinations cosine list set average get_neighbors_set cosine append list average get_neighbors_set cosine append average isclose get_neighbors_set intersection keys set paired_cosine_distances shared_voc paired_cosine_distances shared_voc | vinid/cade | 4,016 |
vinnik-dmitry07/PlaceRecognition | ['visual place recognition', 'image retrieval'] | ['NetVLAD: CNN architecture for weakly supervised place recognition'] | main.py hard_triplet_loss.py netvlad.py _pairwise_distance HardTripletLoss _get_anchor_negative_triplet_mask _get_anchor_positive_triplet_mask _get_triplet_mask ImageFolderWithPaths NetVLAD TripletNet EmbedNet relu matmul t sqrt unsqueeze float diag byte device to unsqueeze byte device | vinnik-dmitry07/PlaceRecognition | 4,017 |
vinoth654321/Beta-Vae-face-dataset | ['style transfer'] | ['Deep Feature Consistent Variational Autoencoder'] | train.py feret model.py preprocess.py config.py utils.py DFCVAE BetaVAE get_attributes ImageDiskLoader split_dataset get_ims ImageMemoryLoader get_attr restore show_images plot restore_latest write_log save read_log restore show_images plot restore_latest write_log save read_log append append im_transform crop open load Parameter data str int list isinstance sorted print join size set copy_ add keys is_available prod state_dict glob int sorted restore sorted remove glob print makedirs dirname state_dict open dump dirname makedirs exists show subplot str axis imshow title savefig figure enumerate len show xlabel ylabel title figure | vinoth654321/Beta-Vae-face-dataset | 4,018 |
vis-var/lgsc-for-fas | ['face anti spoofing', 'anomaly detection'] | ['Learning Generalized Spoof Cues for Face Anti-spoofing'] | models/classifier.py dataset/datasetbase.py models/triple_loss.py utils/util.py utils/eval.py train.py models/scan.py utils/__init__.py dataset/transforms.py test.py utils/conv_module.py dataset/oulu.py dataset/faceforensics.py utils/norm_module.py utils/statistic.py utils/runner.py convert.py dataset/casia.py models/resnet.py CASIA DatasetBase FaceForensics OULU RandomErasing ImageTransform PhotoMetricDistortion RandomRotate RandomCrop RandomPatch RandomCutOut ExtraAugmentation ClsLite Classifier ResNet BasicBlock make_res_layer Bottleneck DeCoder SCAN PairLoss TripletLoss Sequential ConvModule build_conv_layer eval_acc eval_hter eval_metric eval_acer InstanceNorm build_norm_layer Runnner calculate get_threshold get_HTER_at_thr eval_state calculate_threshold get_EER_states model_size draw_roc torch_weight_to_paddle_model extend block Sequential build_conv_layer append range expansion dict conv_layer pop copy print sum format draw_roc format get_EER_states print roc_auc_score get_HTER_at_thr print int sum format argmax max eval_hter eval_tool append range format astype copy float int join isinstance print min dict argsort zeros array pop str setdefault norm_layer copy sum eval_state eval_state append float range fabs get_threshold eval_state append float float eval_state load items save_dygraph format list print set_dict numpy load_dygraph state_dict print sum format dump plot switch_backend xlabel grid ylabel title savefig legend open append makedirs | vis-var/lgsc-for-fas | 4,019 |
vishalshar/SpeakerDiarization_RNN_CNN_LSTM | ['speaker diarization'] | ['Speaker Diarization: Using Recurrent Neural Networks'] | NN_Convo_Sample.py Alg1_MLP_1channel_2classes.py MLP_2channel_4classes.py Labels.py Audio_data.py MLP.py Alg6_CNN_spectrumgram.py Alg4_RNN_1channel_2classes.py get_label test_with_restore_data get_data reset_graph shuffle_data compare get_label get_data reset_graph shuffle_data train_and_save_network divide_data get_label compute_spectrungram test_with_restore_data get_data reset_graph pre_process_data shuffle_data train_and_save_network compare get_data get_labels reset_graph get_data reset_graph get_label shuffle_data seed reset_default_graph set_random_seed permutation show subplot print axvline title zip xlim print exit get_labels list shuffle zip walk len append spectrogram range dump concatenate compute_spectrungram get_data open walk split pre_process_data int read reshape len zeros iterrows astype read_csv | vishalshar/SpeakerDiarization_RNN_CNN_LSTM | 4,020 |
visinf/1-stage-wseg | ['semantic segmentation'] | ['Single-Stage Semantic Segmentation from Image Labels'] | utils/stat_manager.py base_trainer.py models/backbones/vgg16d.py models/mods/pamr.py utils/metrics.py opts.py datasets/pascal_voc_ms.py models/backbones/base_net.py eval_seg.py utils/timer.py train.py models/stage_net.py utils/inference_tools.py models/mods/gci.py models/__init__.py datasets/transforms.py tools/convert_sbd.py datasets/pascal_voc.py models/mods/__init__.py losses/__init__.py utils/checkpoints.py models/mods/sg.py models/mods/aspp.py datasets/__init__.py utils/dcrf.py utils/pallete.py models/backbones/resnets.py core/config.py models/backbones/resnet38d.py utils/collections.py datasets/utils.py infer_val.py BaseTrainer summarise_one get_stats evaluate_all format_num evaluate_one read_mask_file summarise_per_class summarise_stats oracle_lower get_image_name check_args check_dir HWC_to_CHW maybe_create_dir check_global_arguments get_arguments add_global_arguments DecTrainer time_call rescale_as merge_cfg_from_list merge_cfg_from_file _merge_a_into_b assert_and_infer_cfg merge_cfg_from_cfg _decode_cfg_value _check_and_coerce_cfg_value_type PascalVOC VOCSegmentation load_label_name_list load_img_name_list VOC12ImageDataset CropLoader VOC12ClsDataset MultiscaleLoader MaskHFlip Compose MaskRandResizedCrop MaskColourJitter MaskNormalise MaskToTensor uint82bin labelcolormap Colorize colormap get_num_classes get_dataloader get_class_names mask_loss_ce MLHingeLoss get_criterion balanced_mask_loss_ce rescale_as network_factory pseudo_gtmask focal_loss Flatten get_model BaseNet Normalize ResBlock_bot ResBlock ResNet38 conv1x1 ResNet Bottleneck conv3x3 ResNet50 ResNet101 VGG16 build_aspp _ASPPModule ASPP GCI LocalAffinity LocalStDev LocalAffinityAbs PAMR LocalAffinityCopy StochasticGate convert args Checkpoint AttrDict crf_inference ResultWriter MergeCrops PAMRWriter MergeMultiScale get_inference_io Metric compute_jaccard get_mask_pallete _get_voc_pallete StatManager Timer split sum append get_stats sorted CLASSES add_metric get_stats int sum CLASSES format print summarize print_row Recall write update_value Metric IoU Precision reshape range zeros_like len zeros_like imresize astype shape unique float basename replace format log_scores print zeros summarise_per_class range join makedirs add_argument makedirs workers join exp print set_num_threads snapshot_dir logdir maybe_create_dir get_num_threads dataset setattr run parse_args check_global_arguments ArgumentParser add_global_arguments interpolate format print get_stage_elapsed func reset_stage immutable _merge_a_into_b _merge_a_into_b _decode_cfg_value _check_and_coerce_cfg_value_type zip split deepcopy list items isinstance _decode_cfg_value _check_and_coerce_cfg_value_type literal_eval isinstance string_types str list ndarray isinstance tuple type array splitlines append bitget range zeros uint82bin range uint8 lower dataset_cls BATCH_SIZE argmax cross_entropy interpolate type_as size type_as max view argmax view size type_as mean interpolate sum cross_entropy print partial network_factory add_argument ArgumentParser fromarray join format replace glob print makedirs tqdm inp save loadmat out len addPairwiseGaussian DenseCRF2D addPairwiseBilateral ascontiguousarray inference unary_from_softmax setUnaryEnergy view size zip zeros float max range fromarray astype putpalette range | visinf/1-stage-wseg | 4,021 |
visinf/acis | ['instance segmentation', 'semantic segmentation'] | ['Actor-Critic Instance Segmentation'] | code/crayon/server/server.py tb_access_xp post_histograms get_version tb_remove_xp_writer not_found get_scalars _MakeHistogramBuckets get_all_experiments tb_make_histogram tb_get_xp_writer last_timestamp_loaded post_experiment delete_experiment tb_add_scalar post_backup wrong_argument to_unicode tb_modified_xp get_histograms get_backup tb_xp_writer_exists tb_access_all post_scalars tb_request tb_add_histogram loads tb_request last_timestamp_loaded sleep tb_access_xp list keys tb_modified_xp tb_access_xp format FileWriter tb_modified_xp flush tb_modified_xp add_event tb_get_xp_writer Event Summary items list flush tb_modified_xp add_event tb_get_xp_writer Event Summary tb_port tb_access_xp format tb_access_all append sum _MakeHistogramBuckets bisect_left len print print tb_request get tb_request loads to_unicode to_unicode tb_get_xp_writer tb_xp_writer_exists get_json get format tb_remove_xp_writer to_unicode rmtree get to_unicode tb_request get to_unicode tb_add_scalar get_json get to_unicode tb_request get str format isinstance to_unicode get_json tb_make_histogram type tb_add_histogram get make_archive to_unicode format get format tb_xp_writer_exists to_unicode save tb_get_xp_writer Popen | visinf/acis | 4,022 |
vision4robotics/SiamAPN | ['visual tracking'] | ['Siamese Anchor Proposal Network for High-Speed Aerial Tracking'] | SiamAPN++/training_dataset/coco/gen_json.py SiamAPN/toolkit/datasets/v4r.py SiamAPN/pysot/datasets/dataset_apn.py SiamAPN++/pysot/utils/log_helper.py SiamAPN++/training_dataset/coco/pycocotools/cocoeval.py SiamAPN++/training_dataset/coco/pycocotools/coco.py SiamAPN++/tools/demo_apn++.py SiamAPN/pysot/tracker/base_tracker.py SiamAPN++/training_dataset/vid/parse_vid.py SiamAPN++/toolkit/datasets/__init__.py SiamAPN/tools/eval.py SiamAPN/training_dataset/vid/parse_vid.py SiamAPN++/toolkit/utils/statistics.py SiamAPN++/tools/test.py SiamAPN/training_dataset/got10k/gen_json.py SiamAPN++/pysot/utils/location_grid.py SiamAPN/training_dataset/yt_bb/par_crop.py SiamAPN/pysot/models/backbone/alexnet.py SiamAPN/pysot/utils/average_meter.py SiamAPN++/pysot/datasets/anchortarget_adapn.py SiamAPN/tools/demo_apn.py SiamAPN++/training_dataset/coco/par_crop.py SiamAPN++/pysot/datasets/dataset_adapn.py SiamAPN/pysot/models/utile_apn.py SiamAPN++/pysot/tracker/adsiamapn_tracker.py SiamAPN++/training_dataset/got10k/par_crop.py SiamAPN++/pysot/utils/bbox.py SiamAPN/tools/test.py SiamAPN/training_dataset/coco/pycocotools/__init__.py SiamAPN++/training_dataset/coco/pycocotools/__init__.py SiamAPN/toolkit/visualization/draw_utils.py SiamAPN++/pysot/utils/lr_scheduler_adapn.py SiamAPN/pysot/datasets/augmentation.py SiamAPN/pysot/utils/distributed.py SiamAPN++/training_dataset/yt_bb/gen_json.py SiamAPN/toolkit/datasets/dataset.py SiamAPN/toolkit/datasets/video.py SiamAPN++/pysot/models/init_weight.py SiamAPN++/pysot/datasets/augmentation.py SiamAPN/training_dataset/yt_bb/visual.py SiamAPN/toolkit/datasets/uav10fps.py SiamAPN++/pysot/utils/distributed.py SiamAPN/pysot/models/loss_apn.py SiamAPN++/pysot/core/config_adapn.py SiamAPN++/pysot/models/utile_adapn.py SiamAPN++/training_dataset/got10k/gen_json.py SiamAPN/training_dataset/coco/gen_json.py SiamAPN/pysot/core/config_apn.py SiamAPN/training_dataset/coco/visual.py SiamAPN++/toolkit/visualization/__init__.py SiamAPN/training_dataset/coco/pycocotools/cocoeval.py SiamAPN++/training_dataset/coco/visual.py SiamAPN++/training_dataset/yt_bb/par_crop.py SiamAPN/training_dataset/vid/visual.py SiamAPN++/pysot/models/backbone/alexnet.py SiamAPN++/toolkit/datasets/dataset.py SiamAPN++/toolkit/datasets/video.py SiamAPN/training_dataset/coco/par_crop.py SiamAPN/training_dataset/vid/par_crop.py SiamAPN++/pysot/models/model_builder_adapn.py SiamAPN++/tools/train_apn++.py SiamAPN/training_dataset/coco/pycocotools/mask.py SiamAPN++/pysot/utils/xcorr.py SiamAPN/pysot/tracker/siamapn_tracker.py SiamAPN/pysot/datasets/anchortarget_apn.py SiamAPN++/pysot/utils/misc.py SiamAPN/toolkit/evaluation/__init__.py SiamAPN/toolkit/utils/statistics.py SiamAPN++/toolkit/visualization/draw_utils.py SiamAPN/tools/train_apn.py SiamAPN++/pysot/utils/model_load.py SiamAPN++/training_dataset/coco/pycocotools/mask.py SiamAPN++/training_dataset/vid/visual.py SiamAPN/training_dataset/vid/gen_json.py SiamAPN++/training_dataset/coco/pycocotools/setup.py SiamAPN/pysot/utils/log_helper.py SiamAPN++/toolkit/evaluation/ope_benchmark.py SiamAPN/pysot/utils/misc.py SiamAPN++/pysot/tracker/base_tracker.py SiamAPN/training_dataset/coco/pycocotools/setup.py SiamAPN++/pysot/utils/average_meter.py SiamAPN/toolkit/datasets/__init__.py SiamAPN/pysot/utils/lr_scheduler_apn.py SiamAPN++/toolkit/datasets/uav20l.py SiamAPN++/training_dataset/yt_bb/visual.py SiamAPN/pysot/utils/bbox.py SiamAPN/training_dataset/got10k/par_crop.py SiamAPN++/training_dataset/vid/par_crop.py SiamAPN/pysot/utils/model_load.py SiamAPN/toolkit/datasets/visdrone1.py SiamAPN/toolkit/visualization/draw_success_precision.py SiamAPN++/training_dataset/yt_bb/checknum.py SiamAPN/pysot/utils/location_grid.py SiamAPN/pysot/models/init_weight.py SiamAPN/training_dataset/yt_bb/gen_json.py SiamAPN/training_dataset/coco/pycocotools/coco.py SiamAPN++/training_dataset/vid/gen_json.py SiamAPN/training_dataset/yt_bb/checknum.py SiamAPN++/pysot/models/loss_adapn.py SiamAPN/toolkit/datasets/uav20l.py SiamAPN++/toolkit/visualization/draw_success_precision.py SiamAPN++/toolkit/datasets/uav10fps.py SiamAPN/pysot/models/model_builder_apn.py SiamAPN/pysot/utils/xcorr.py SiamAPN/toolkit/evaluation/ope_benchmark.py SiamAPN++/tools/eval.py SiamAPN++/toolkit/evaluation/__init__.py SiamAPN/toolkit/visualization/__init__.py AnchorTarget3 AnchorTarget Augmentation SubDataset TrkDataset init_weights select_cross_entropy_loss l1loss IOULoss get_cls_loss weight_l1_loss ModelBuilderAPN clsandloc APN AlexNet BaseTracker SiameseTracker SiamAPNTracker AverageMeter Meter center2corner get_axis_aligned_bbox rect1_2_cxy_wh rect_2_cxy_wh cxy_wh_2_rect1 get_min_max_bbox IoU corner2center cxy_wh_2_rect reduce_gradients DistModule get_world_size _get_local_ip broadcast_buffers broadcast_params get_rank average_reduce _dist_init dist_init compute_locations_per_level compute_locations Filter log_once Dummy init_log get_format get_format_custom find_caller main LogOnce print_speed add_file_handler LRScheduler WarmUPScheduler _build_lr_scheduler build_lr_scheduler LogScheduler LinearStepScheduler Net CosStepScheduler _build_warm_up_scheduler MultiStepScheduler StepScheduler _bold commit _describe describe _exec bbox_clip _color load_pretrain remove_prefix restore_from check_keys xcorr_depthwise xcorr_fast xcorr_slow Dataset UAVVideo ca UAV10Dataset UAVVideo UAV20Dataset loaddata UAVVideo V4RDataset ca Video UVADTVideo VISDRONED2018Dataset loaddata DatasetFactory OPEBenchmark success_error success_overlap overlap_ratio draw_success_precision main get_frames main seed_torch build_opt_lr build_data_loader main train crop_hwc printProgress pos_s_2_bbox main crop_img crop_like_SiamFC COCO _isArrayLike Params COCOeval encode decode area toBbox parse_and_sched crop_hwc printProgress crop_video pos_s_2_bbox main crop_like_SiamFC check_borders check_size crop_hwc printProgress crop_video pos_s_2_bbox main crop_like_SiamFC parse_and_sched crop_hwc printProgress parse_and_sched pos_s_2_bbox dl_and_cut crop_like_SiamFC AnchorTarget3 AnchorTarget Augmentation SubDataset TrkDataset init_weights select_cross_entropy_loss shaloss IOULoss get_cls_loss weight_l1_loss ModelBuilderADAPN adcat selfchannelbranch clsandloc selfpointbranch APN AlexNet ADSiamAPNTracker BaseTracker SiameseTracker AverageMeter Meter center2corner get_axis_aligned_bbox rect1_2_cxy_wh rect_2_cxy_wh cxy_wh_2_rect1 get_min_max_bbox IoU corner2center cxy_wh_2_rect reduce_gradients DistModule get_world_size _get_local_ip broadcast_buffers broadcast_params get_rank average_reduce _dist_init dist_init compute_locations_per_level compute_locations Filter log_once Dummy init_log get_format get_format_custom find_caller main LogOnce print_speed add_file_handler LRScheduler WarmUPScheduler _build_lr_scheduler build_lr_scheduler LogScheduler LinearStepScheduler Net CosStepScheduler _build_warm_up_scheduler MultiStepScheduler StepScheduler _bold commit _describe describe _exec bbox_clip _color load_pretrain remove_prefix restore_from check_keys xcorr_depthwise xcorr_fast xcorr_slow Dataset UAVVideo ca UAV10Dataset UAVVideo UAV20Dataset loaddata Video DatasetFactory OPEBenchmark success_error success_overlap overlap_ratio draw_success_precision main get_frames main seed_torch build_opt_lr build_data_loader main train crop_hwc printProgress pos_s_2_bbox main crop_img crop_like_SiamFC COCO _isArrayLike Params COCOeval encode decode area toBbox parse_and_sched crop_hwc printProgress crop_video pos_s_2_bbox main crop_like_SiamFC check_borders check_size crop_hwc printProgress crop_video pos_s_2_bbox main crop_like_SiamFC parse_and_sched crop_hwc printProgress parse_and_sched pos_s_2_bbox dl_and_cut crop_like_SiamFC data fill_ isinstance Conv2d modules zero_ BatchNorm2d kaiming_normal_ index_select long cuda view get_cls_loss sum size abs view isinstance isinstance minimum maximum norm size min mean sqrt max mean size min max all_reduce get_world_size FloatTensor list values broadcast all_reduce _all_buffers get_world_size broadcast device_count set_device get_world_size init_process_group SOCK_DGRAM socket connect AF_INET data requires_grad log_once format all_reduce parameters compute_locations_per_level device meshgrid reshape stack arange int Filter format addFilter Formatter int Filter format addFilter Formatter setFormatter format_func getLogger addHandler StreamHandler add setLevel setFormatter getLogger addHandler get_format FileHandler floor info getLogger f_back co_filename list basename hasattr normcase f_code current_frame log str format getLogger print debug error init_log warning info enumerate critical _build_lr_scheduler EPOCH LR LR_WARMUP WARMUP popen requires_grad format named_children len training named_parameters append _color join format _exec dirname abspath append _describe len min max format set info keys len format info load remove_prefix format check_keys load_state_dict info current_device load remove_prefix check_keys load_state_dict current_device view conv2d append range cat conv2d view conv2d size view str int list zip print sort readlines len close dict split append listdir range open str int list zip print sort readlines close dict open split append listdir range len minimum maximum arange ones overlap_ratio zeros float sum range len ones power sqrt zeros float sum range len subplots arange grid axis xticks yticks set_aspect show list sorted ylabel title legend plot autoscale mean keys enumerate items xlabel join sorted VideoCapture read glob video_name imread range config get_frames TRACK device list waitKey map ModelBuilderAPN imshow selectROI to WND_PROP_FULLSCREEN merge_from_file track init is_available video_name SiamAPNTracker namedWindow rectangle get_axis_aligned_bbox FONT_HERSHEY_SIMPLEX dataset getTickCount destroyAllWindows name dirname append w1 getTickFrequency realpath eval join putText create_dataset array makedirs seed str manual_seed DistributedSampler TrkDataset DataLoader info TRAIN_LAYERS build_lr_scheduler isinstance START_EPOCH SGD parameters eval modules BatchNorm2d train step reduce_gradients describe model clip_grad_norm_ zero_grad save dataset GRAD_CLIP sorted list BATCH_SIZE START_EPOCH len get_rank module SNAPSHOT_DIR update format EPOCH param_groups get_world_size mean is_valid_number avg info average_reduce item print_speed enumerate items time add_scalar build_opt_lr get_cur_lr backward AverageMeter parameters step makedirs commit PRETRAINED DataParallel cuda backbone add_file_handler dist_init START_EPOCH LOG_DIR RESUME load_state_dict restore_from module SummaryWriter build_data_loader cfg INFO load build_opt_lr dumps load_pretrain train str int format write float round flush warpAffine float astype sqrt crop_hwc sum pos_s_2_bbox join format imwrite mean imread crop_like_SiamFC enumerate makedirs COCO imgs mkdir len shape join int dump print readlines close split listdir enumerate open join int format imwrite readlines close makedirs zfill mean split imread crop_like_SiamFC enumerate open listdir sqrt float prod sorted parse replace glob text find findall sorted str iterrows from_csv unique str join format imwrite int iterrows check_call mean imread crop_like_SiamFC sum abs where ADSiamAPNTracker ModelBuilderADAPN | vision4robotics/SiamAPN | 4,023 |
vislearn/DSACLine | ['camera localization', 'visual localization'] | ['DSAC - Differentiable RANSAC for Camera Localization'] | line_nn.py dsac.py augment.py line_loss.py line_dataset.py main.py DSAC LineDataset LineLoss LineNN batch_loss prepare_data make_grid from_numpy transpose_ cuda zeros size range loss from_numpy transpose_ | vislearn/DSACLine | 4,024 |
vislearn/dsacstar | ['camera localization', 'visual localization'] | ['DSAC - Differentiable RANSAC for Camera Localization'] | dsacstar/setup.py datasets/setup_12scenes.py network.py datasets/setup_7scenes.py test.py train_e2e.py dataset.py datasets/setup_cambridge.py train_init.py CamLocDataset Network link_frame mkdir link_frames mkdir mkdir makedirs print system system mkdir listdir range len | vislearn/dsacstar | 4,025 |
vislearn/esac | ['camera localization', 'visual localization'] | ['Expert Sample Consensus Applied to Camera Re-Localization'] | code/gating.py datasets/setup_12scenes.py code/esac/setup.py code/init_gating.py code/test_esac.py datasets/setup_7scenes.py code/util.py code/expert.py code/ref_expert.py datasets/setup_dubrovnik.py code/expert_ensemble.py code/cluster_dataset.py code/init_expert.py code/room_dataset.py datasets/setup_aachen.py code/train_esac.py ClusterDataset Expert ExpertEnsemble Gating RoomDataset median clamp_probs strip_file_name assert_size clamp_tensor random_shift link_frame mkdir link_frames mkdir dl_file create_training_set mkdir create_test_set create_set mkdir sort randint ZeroPad2d print clamp_tensor size exit sort enumerate startswith makedirs print system system mkdir listdir range len print download exit imwrite unsqueeze inverse save resize tensor undistort open transpose append ceil imread range asarray replace concatenate size readlines close sqrt mkdir Rodrigues float int print clamp index eye zeros mm acos split int asarray imwrite replace print float readlines close len mkdir eye resize ceil imread range undistort open unsqueeze inverse save tensor open transpose len ceil append imread range size readlines close mkdir dbfolder int print clamp system index zeros mm split | vislearn/esac | 4,026 |
vislearn/ngdsac_camreloc | ['camera localization', 'visual localization'] | ['Neural-Guided RANSAC: Learning Where to Sample Model Hypotheses', 'DSAC - Differentiable RANSAC for Camera Localization'] | train_repro.py setup_cambridge.py network.py train_e2e.py test.py dataset.py util.py ngdsac/setup.py train_init.py CamLocDataset Network mkdir random_shift makedirs randint ZeroPad2d | vislearn/ngdsac_camreloc | 4,027 |
vislearn/ngdsac_horizon | ['camera localization', 'visual localization'] | ['Neural-Guided RANSAC: Learning Where to Sample Model Hypotheses'] | train.py demo.py loss.py test.py ngdsac.py hlw_dataset.py model.py process_frame HLWDataset Loss Model NGDSAC AUC gray2rgb draw_models unsqueeze verbose resize cuda max to_pil_image sum to_tensor adjust_saturation draw_wpoints concatenate padding size astype copy int COLORMAP_HSV applyColorMap ZeroPad2d imagesize numpy est_parameters int arange cumsum astype float32 histogram max len | vislearn/ngdsac_horizon | 4,028 |
vislearn/ngransac | ['camera localization', 'visual localization'] | ['Neural-Guided RANSAC: Learning Where to Sample Model Hypotheses'] | prepare_data_kitti.py ngransac/setup.py ngransac_test.py ngransac_train_e2e.py show_mean.py network.py ngransac_demo.py ngransac_train_init.py util.py dataset.py SparseDataset CNNet dataset_mean create_parser rootSift f_error pose_error normalize_pts AUC create_session_string denormalize_pts loadtxt int arange cumsum astype float32 histogram max len norm T print transpose min acos pi matmul dot float max concatenate epipolar_error mean float sum expand_dims norm repeat divide add_argument ArgumentParser | vislearn/ngransac | 4,029 |
vivekatwal/projects | ['one shot learning'] | ['One-shot Learning with Memory-Augmented Neural Networks'] | training.py testing.py read_img predict_label test_csv read_img resize imread IMREAD_COLOR argmax join read_img float32 to_csv append listdir array predict float32 append argmax array predict | vivekatwal/projects | 4,030 |
vivoutlaw/tcbp | ['action recognition'] | ['Deep Multimodal Feature Encoding for Video Ordering'] | TCBP.py video_ordering_dataset/Audio_Visual_Place_Temporal.py video_ordering_dataset/lsmdc_glove_300D_text_feats.py TCBP SoundNet8 load_audio_librosa load_one_audio load_places_model generate_start_end_index load_temporal_model load_audio_all_methods generic_layer_feat_extractor load_pretrained_soundnet8 sent2vec sort concatenate get eval register_forward_hook SoundNet8 remove load_lua int read view resample set_trace astype mean from_numpy round load view resample astype from_numpy get_duration load int read resample astype mean round numpy load format load_state_dict load items list format InceptionI3d print resnet50 Sequential OrderedDict eval load_state_dict resnet101 train word_tokenize lower append sum array | vivoutlaw/tcbp | 4,031 |
vkakerbeck/ml-agents-dev | ['unity'] | ['Unity: A General Platform for Intelligent Agents'] | ml-agents-dev/mlagentsdev/trainers/tests/test_demo_loader.py ml-agents-envs/mlagentsdev/envs/communicator_objects/agent_action_proto_pb2.py ml-agents-dev/mlagentsdev/trainers/tests/test_learn.py gym-unity/gym_unity/envs/__init__.py ml-agents-envs/mlagentsdev/envs/tests/test_subprocess_unity_environment.py ml-agents-dev/mlagentsdev/trainers/ppo/policy.py ml-agents-dev/mlagentsdev/trainers/tests/test_barracuda_converter.py ml-agents-dev/mlagentsdev/trainers/bc/offline_trainer.py ml-agents-dev/mlagentsdev/trainers/trainer.py ml-agents-dev/mlagentsdev/trainers/tests/test_curriculum.py ml-agents-dev/mlagentsdev/trainers/trainer_metrics.py gym-unity/gym_unity/__init__.py ml-agents-dev/mlagentsdev/trainers/barracuda.py ml-agents-dev/mlagentsdev/trainers/depth_networks/pose_cnn.py ml-agents-envs/mlagentsdev/envs/tests/test_rpc_communicator.py ml-agents-dev/mlagentsdev/trainers/__init__.py ml-agents-envs/mlagentsdev/envs/communicator_objects/__init__.py ml-agents-dev/mlagentsdev/trainers/depth_layers.py ml-agents-envs/mlagentsdev/envs/communicator_objects/unity_rl_initialization_output_pb2.py ml-agents-envs/mlagentsdev/envs/communicator_objects/unity_to_external_pb2_grpc.py ml-agents-dev/mlagentsdev/trainers/ppo/models.py ml-agents-envs/setup.py ml-agents-dev/mlagentsdev/trainers/tests/test_policy.py ml-agents-dev/mlagentsdev/trainers/depth_networks/pose_decoder.py ml-agents-dev/mlagentsdev/trainers/demo_loader.py ml-agents-dev/mlagentsdev/trainers/tests/test_buffer.py ml-agents-envs/mlagentsdev/envs/communicator_objects/unity_rl_input_pb2.py ml-agents-envs/mlagentsdev/envs/communicator_objects/agent_info_proto_pb2.py ml-agents-dev/mlagentsdev/trainers/bc/trainer.py ml-agents-envs/mlagentsdev/envs/communicator.py ml-agents-envs/mlagentsdev/envs/brain.py ml-agents-dev/mlagentsdev/trainers/buffer.py ml-agents-envs/mlagentsdev/envs/__init__.py ml-agents-envs/mlagentsdev/envs/exception.py ml-agents-dev/mlagentsdev/trainers/ppo/trainer.py ml-agents-envs/mlagentsdev/envs/socket_communicator.py ml-agents-envs/mlagentsdev/envs/communicator_objects/command_proto_pb2.py ml-agents-dev/mlagentsdev/trainers/bc/online_trainer.py ml-agents-envs/mlagentsdev/envs/communicator_objects/header_pb2.py ml-agents-dev/mlagentsdev/trainers/teacher.py ml-agents-dev/mlagentsdev/trainers/tests/test_meta_curriculum.py ml-agents-envs/mlagentsdev/envs/subprocess_environment.py ml-agents-envs/mlagentsdev/envs/communicator_objects/demonstration_meta_proto_pb2.py ml-agents-dev/mlagentsdev/trainers/tensorflow_to_barracuda.py ml-agents-dev/mlagentsdev/trainers/tests/test_trainer_controller.py ml-agents-dev/mlagentsdev/trainers/trainer_controller.py ml-agents-envs/mlagentsdev/envs/communicator_objects/brain_parameters_proto_pb2.py ml-agents-envs/mlagentsdev/envs/communicator_objects/custom_observation_pb2.py ml-agents-envs/mlagentsdev/envs/mock_communicator.py ml-agents-dev/mlagentsdev/trainers/tests/test_trainer_metrics.py ml-agents-dev/mlagentsdev/trainers/bc/__init__.py ml-agents-dev/mlagentsdev/trainers/curriculum.py gym-unity/gym_unity/tests/test_gym.py ml-agents-envs/mlagentsdev/envs/communicator_objects/unity_input_pb2.py ml-agents-dev/mlagentsdev/trainers/depth_networks/resnet_encoder.py ml-agents-dev/setup.py ml-agents-dev/mlagentsdev/trainers/depth_networks/depth_decoder.py ml-agents-envs/mlagentsdev/envs/communicator_objects/custom_action_pb2.py ml-agents-dev/mlagentsdev/trainers/action_info.py ml-agents-dev/mlagentsdev/trainers/bc/policy.py ml-agents-dev/mlagentsdev/trainers/ppo/__init__.py ml-agents-envs/mlagentsdev/envs/communicator_objects/space_type_proto_pb2.py ml-agents-envs/mlagentsdev/envs/tests/test_envs.py ml-agents-dev/mlagentsdev/trainers/depth_extractor.py ml-agents-envs/mlagentsdev/envs/communicator_objects/environment_parameters_proto_pb2.py ml-agents-envs/mlagentsdev/envs/communicator_objects/custom_reset_parameters_pb2.py gym-unity/setup.py ml-agents-envs/mlagentsdev/envs/rpc_communicator.py ml-agents-dev/mlagentsdev/trainers/depth_networks/__init__.py ml-agents-dev/mlagentsdev/trainers/meta_curriculum.py ml-agents-envs/mlagentsdev/envs/communicator_objects/engine_configuration_proto_pb2.py ml-agents-dev/mlagentsdev/trainers/exception.py ml-agents-envs/mlagentsdev/envs/communicator_objects/unity_message_pb2.py ml-agents-dev/mlagentsdev/trainers/bc/models.py ml-agents-envs/mlagentsdev/envs/communicator_objects/unity_rl_output_pb2.py ml-agents-envs/mlagentsdev/envs/communicator_objects/resolution_proto_pb2.py gym-unity/gym_unity/envs/unity_env.py ml-agents-envs/mlagentsdev/envs/communicator_objects/unity_rl_initialization_input_pb2.py ml-agents-dev/mlagentsdev/trainers/learn.py ml-agents-dev/mlagentsdev/trainers/tests/test_ppo.py ml-agents-envs/mlagentsdev/envs/communicator_objects/unity_to_external_pb2.py ml-agents-envs/mlagentsdev/envs/environment.py ml-agents-envs/mlagentsdev/envs/base_unity_environment.py ml-agents-dev/mlagentsdev/trainers/models.py ml-agents-dev/mlagentsdev/trainers/tests/test_bc.py ml-agents-dev/mlagentsdev/trainers/policy.py ml-agents-envs/mlagentsdev/envs/communicator_objects/unity_output_pb2.py UnityGymException ActionFlattener UnityEnv create_mock_vector_braininfo test_gym_wrapper test_multi_agent test_branched_flatten setup_mock_unityenvironment create_mock_brainparams ActionInfo BarracudaWriter compress Build sort lstm write fuse_batchnorm_weights trim gru Model summary Struct parse_args to_json rnn BufferException Buffer Curriculum make_demo_buffer load_demonstration demo_to_buffer Depth_Extractor rot_from_axisangle BackprojectDepth get_smooth_loss compute_depth_errors upsample Project3D Conv3x3 get_translation_matrix SSIM transformation_from_parameters disp_to_depth ConvBlock CurriculumError MetaCurriculumError TrainerError create_environment_factory run_training prepare_for_docker_run try_create_meta_curriculum main load_config MetaCurriculum LearningModel Policy UnityPolicyException Teacher get_layer_shape pool_to_HW flatten process_layer process_model basic_lstm get_attr ModelBuilderContext order_by get_epsilon get_tensor_dtype replace_strings_in_list get_tensor_dims by_op remove_duplicates_from_list by_name convert strides_to_HW get_tensor_data gru UnityTrainerException Trainer TrainerController TrainerMetrics BehavioralCloningModel OfflineBCTrainer OnlineBCTrainer BCPolicy BCTrainer DepthDecoder PoseCNN PoseDecoder ResnetEncoder ResNetMultiImageInput resnet_multiimage_input PPOModel PPOPolicy PPOTrainer get_gae discount_rewards test_barracuda_converter test_dc_bc_model test_cc_bc_model test_visual_cc_bc_model test_bc_policy_evaluate dummy_config test_visual_dc_bc_model assert_array test_buffer location default_reset_parameters test_init_curriculum_bad_curriculum_raises_error test_init_curriculum_happy_path test_increment_lesson test_get_config test_load_demo basic_options test_docker_target_path test_run_training test_init_meta_curriculum_happy_path test_increment_lessons_with_reward_buff_sizes default_reset_parameters MetaCurriculumTest test_increment_lessons measure_vals reward_buff_sizes test_set_all_curriculums_to_lesson_num test_get_config test_set_lesson_nums test_init_meta_curriculum_bad_curriculum_folder_raises_error more_reset_parameters basic_mock_brain test_take_action_returns_action_info_when_available basic_params test_take_action_returns_nones_on_missing_values test_take_action_returns_empty_with_no_agents test_rl_functions test_ppo_model_dc_vector_curio test_ppo_model_dc_vector_rnn test_ppo_model_cc_vector_rnn test_ppo_policy_evaluate test_ppo_model_cc_visual dummy_config test_ppo_model_dc_vector test_ppo_model_dc_visual test_ppo_model_cc_visual_curio test_ppo_model_dc_visual_curio test_ppo_model_cc_vector_curio test_ppo_model_cc_vector test_initialize_online_bc_trainer basic_trainer_controller assert_bc_trainer_constructed test_initialize_trainer_parameters_uses_defaults dummy_bad_config test_take_step_adds_experiences_to_trainer_and_trains test_initialize_trainer_parameters_override_defaults test_initialize_invalid_trainer_raises_exception test_start_learning_trains_until_max_steps_then_saves dummy_config dummy_offline_bc_config_with_override test_initialization_seed test_initialize_ppo_trainer test_start_learning_updates_meta_curriculum_lesson_number assert_ppo_trainer_constructed test_take_step_resets_env_on_global_done test_start_learning_trains_forever_if_no_train_model dummy_offline_bc_config trainer_controller_with_take_step_mocks trainer_controller_with_start_learning_mocks dummy_online_bc_config TestTrainerMetrics BaseUnityEnvironment safe_concat_np_ndarray BrainInfo BrainParameters safe_concat_lists Communicator UnityEnvironment UnityWorkerInUseException UnityException UnityTimeOutException UnityEnvironmentException UnityActionException MockCommunicator RpcCommunicator UnityToExternalServicerImplementation SocketCommunicator worker EnvironmentResponse EnvironmentCommand UnityEnvWorker SubprocessUnityEnvironment UnityToExternalServicer UnityToExternalStub add_UnityToExternalServicer_to_server test_initialization test_reset test_close test_step test_handles_bad_filename test_rpc_communicator_checks_port_on_create test_rpc_communicator_create_multiple_workers test_rpc_communicator_close mock_env_factory MockEnvWorker SubprocessEnvironmentTest create_mock_vector_braininfo sample UnityEnv setup_mock_unityenvironment step create_mock_brainparams create_mock_vector_braininfo UnityEnv setup_mock_unityenvironment step create_mock_brainparams setup_mock_unityenvironment create_mock_vector_braininfo create_mock_brainparams UnityEnv Mock list Mock array range join isdir print replaceFilenameExtension add_argument exit verbose source_file ArgumentParser target_file sqrt topologicalSort list hasattr layers addEdge Graph print inputs set len list hasattr layers print filter match trim_model compile data layers print tensors float16 replace layers dumps data dtype layers isinstance print name tensors inputs outputs shape zip array_without_brackets to_json globals Build tanh mad tanh mul Build concat add sigmoid sub mad _ tanh mul Build concat add sigmoid mad Buffer reset_local_buffers number_visual_observations append_update_buffer append range enumerate make_demo_buffer load_demonstration number_steps read suffix BrainParametersProto from_agent_proto DemonstrationMetaProto ParseFromString AgentInfoProto append from_proto _DecodeVarint32 rot_from_axisangle transpose clone matmul get_translation_matrix to view norm squeeze cos unsqueeze sin to mean abs mean sqrt abs max log start_learning int str format create_environment_factory print TrainerController external_brains put try_create_meta_curriculum load_config SubprocessUnityEnvironment list MetaCurriculum reset_parameters keys chmod format basename isdir glob copyfile copytree prepare_for_docker_run replace int Process join docopt getLogger print run_training start Queue info append randint setLevel range endswith len HasField hasattr get_attr tensor_shape ndarray isinstance shape int_val bool_val float_val ListFields name ndarray isinstance str tensor_content ndarray product isinstance get_tensor_dtype print get_tensor_dims unpack int_val bool_val array float_val enter append add set name find_tensor_by_name split name lstm find_tensor_by_name find_forget_bias split get_layer_shape id Struct tensor hasattr name patch_data input_shapes out_shapes input get_attr append replace_strings_in_list tensors astype op zip enumerate print float32 patch_data_fn model_tensors map_ignored_layer_to_its_input co_argcount len items list get_tensors hasattr name print process_layer eval ModelBuilderContext layers verbose Struct process_model open compress node GraphDef Model dims_to_barracuda_shape insert get_tensor_dims inputs MessageToJson ParseFromString cleanup_layers read memories print sort write trim summary load_url load_state_dict ResNetMultiImageInput BasicBlock cat list zeros_like size reversed range asarray tolist discount_rewards join remove _get_candidate_names convert _get_default_tempdir dirname abspath isfile next BCPolicy evaluate close reset MockCommunicator reset_default_graph UnityEnvironment reset_default_graph reset_default_graph reset_default_graph reset_default_graph flatten list range len get_batch Buffer assert_array append_update_buffer make_mini_batch append reset_agent array range Curriculum Curriculum Curriculum make_demo_buffer load_demonstration dirname abspath MagicMock basic_options MagicMock MetaCurriculum assert_has_calls MetaCurriculumTest increment_lessons assert_called_with MetaCurriculumTest increment_lessons assert_called_with assert_not_called MetaCurriculumTest set_all_curriculums_to_lesson_num MetaCurriculumTest dict update MetaCurriculumTest MagicMock basic_mock_brain basic_params Policy BrainInfo get_action MagicMock basic_mock_brain basic_params Policy BrainInfo get_action MagicMock basic_mock_brain ActionInfo basic_params Policy BrainInfo get_action evaluate close reset MockCommunicator PPOPolicy reset_default_graph UnityEnvironment reset_default_graph reset_default_graph reset_default_graph reset_default_graph reset_default_graph reset_default_graph reset_default_graph reset_default_graph reset_default_graph reset_default_graph assert_array_almost_equal array discount_rewards dummy_offline_bc_config TrainerController assert_called_with BrainInfoMock basic_trainer_controller assert_bc_trainer_constructed dummy_offline_bc_config summaries_dir model_path keep_checkpoints BrainInfoMock basic_trainer_controller assert_bc_trainer_constructed summaries_dir model_path keep_checkpoints dummy_offline_bc_config_with_override BrainInfoMock basic_trainer_controller assert_bc_trainer_constructed summaries_dir model_path keep_checkpoints dummy_online_bc_config BrainInfoMock basic_trainer_controller assert_ppo_trainer_constructed summaries_dir dummy_config model_path keep_checkpoints initialize_trainers BrainInfoMock dummy_bad_config basic_trainer_controller MagicMock basic_trainer_controller start_learning assert_called_once MagicMock assert_not_called dummy_config trainer_controller_with_start_learning_mocks assert_called_once_with start_learning assert_called_once MagicMock dummy_config trainer_controller_with_start_learning_mocks assert_called_once_with start_learning MagicMock dummy_config trainer_controller_with_start_learning_mocks assert_called_once_with lesson MagicMock basic_trainer_controller take_step assert_called_once MagicMock trainer_controller_with_take_step_mocks assert_called_once MagicMock ActionInfo take_step outputs assert_not_called trainer_controller_with_take_step_mocks assert_called_once_with extend copy external_brains global_done payload reset _send_response reset_parameters env_factory step method_handlers_generic_handler add_generic_rpc_handlers UnityEnvironment close MockCommunicator UnityEnvironment close MockCommunicator reset str local_done print agents step close reset MockCommunicator UnityEnvironment len UnityEnvironment close MockCommunicator close RpcCommunicator close RpcCommunicator close RpcCommunicator | vkakerbeck/ml-agents-dev | 4,032 |
vkeswani/IITK_Memotion_Analysis | ['sentiment analysis'] | ['IITK at SemEval-2020 Task 8: Unimodal and Bimodal Sentiment Analysis of Internet Memes'] | Old/ANN+CNN+SVM/make_csv.py Old/Naive Bayes/nb.py Bimodal/ffnn_cnn_svm/make_csv.py Unimodal/ffnn_w2v/ffnn_w2v.py Bimodal/ffnn_cnn_svm/cnn.py Old/ANN+CNN+SVM/svm.py Old/ANN+CNN+SVM/ann.py Bimodal/ffnn_cnn_svm/ffnn.py Old/ANN/make_csv.py Old/ANN/AAN_w2v.py Old/ANN+CNN+SVM/cnn.py Unimodal/naive_bayes/nb.py Unimodal/ffnn_w2v/make_csv.py Bimodal/ffnn_cnn_svm/svm.py hsv2rgb rgb2hsv neural_network removeStopWords remove_punct lower_token train_neural_network neural_network removeStopWords remove_punct lower_token train_neural_network neural_network removeStopWords remove_punct lower_token train_neural_network hsv2rgb rgb2hsv neural_network removeStopWords remove_punct lower_token train_neural_network int float floor min max punctuation sub relu matmul add neural_network reduce_mean minimize softmax_cross_entropy_with_logits | vkeswani/IITK_Memotion_Analysis | 4,033 |
vladbataev/vib | ['adversarial attack'] | ['Deep Variational Information Bottleneck'] | train.py logger.py fast_gradient.py cross_val.py vib.py main fgm fgmt Logger main run_experiment append run_experiment logspace as_list softmax_cross_entropy_with_logits sigmoid_cross_entropy_with_logits model abs while_loop equal identity sign argmax cond softmax_cross_entropy_with_logits sigmoid_cross_entropy_with_logits model while_loop argmin identity sign rank cond equal parse_args add_argument ArgumentParser Normal Saver Logger reset_default_graph exponential_decay argmax variables_to_restore log str list merge_all map placeholder reduce_sum apply int64 cast append range softmax_cross_entropy format get_or_create_global_step one_hot FileWriter create_train_op softmax fgm equal enumerate model_variables join int print num_examples float32 AdamOptimizer reduce_mean ExponentialMovingAverage array read_data_sets scalar len | vladbataev/vib | 4,034 |
vlgiitr/deep_cache_replacement | ['density estimation'] | ['DEAP Cache: Deep Eviction Admission and Prefetching for Cache'] | standard_algo_benchmark.py utils/prepare_csv.py cache_model_train.py utils/lib/dequedict.py utils/dataset.py cache_lecar.py test_sim.py utils/lib/heapdict.py utils/lecar.py utils/new_standard_algo.py get_misses.py utils/standard_algo.py utils/arc.py utils/benchmark.py embed_lstm_32.py utils/vis_helper.py create_train_dataset.py generate_binary_permutations.py LeCaR get_pred_loss get_bytes_2d DeepCache Decoder get_bytes Decoder_lstm Encoder TimeDistributed get_miss_dataloader create_inout_sequences miss_dataset get_vocab_bytes Token hex_to_bin get_address get_pc w2vec_loss ByteEncoder Trainer get_data main train save_csv generateAllBinaryStrings get_files LRU LFU main get_dist get_embeddings get_freq_rec_ad_pc get_one_hot get_prefetch get_ad_embeddings test_cache_sim get_freq_rec get_test_data_from_list get_prefetch_addresses beam_search_decoder create_inout_sequences ARC get_hit_rate_across_datasets NewDict create_inout_sequences get_complete_data_padded LeCaR LFU Arc FIFO Belady LRU getFurthestAccessBlock LIFO Lecar get_files main Freq minDistance LFU Arc FIFO Belady LRU getFurthestAccessBlock LIFO Lecar plot_csv DequeDict HeapDict list to_bytes tensor to long range zeros squeeze get_bytes range to get_bytes range zeros range print to astype float32 index apply miss_dataset DataLoader unsqueeze create_inout_sequences zeros tensor read_csv cat len zfill format print append enumerate len NLLLoss tensor zip int format model backward print zero_grad w2vec_loss epochs save append context_size tensor step range len range range get_vocab_bytes Token format print len best_loss Adam ByteEncoder Trainer get_data path parameters address_tokens pc_tokens train range append makedirs append range save_csv append remove list format print popleft add set tqdm deque range append len pop items list defaultdict remove format print min set add tqdm append range len r LFU to_csv LRU joinpath get_files DataFrame list sorted append range len append join beam_search_decoder FloatTensor scatter_ shape zero_ append argmax list apply unsqueeze zip DataFrame create_inout_sequences cat time_distributed_encoder_mlp get_embed_pc get_test_data_from_list get_embed_addr cat len get_embed_addr get_test_data_from_list len rec_freq_decoder squeeze sigmoid float cat get_distribution_vector lstm_decoder get_embeddings lstm get_ad_embeddings get_prefetch run get_dist get_embeddings list get_freq_rec_ad_pc append range format LeCaR keys load int print index tqdm get_prefetch_addresses len all print tolist append read_csv enumerate print zfill apply shape append zeros max read_csv enumerate len append len int list format print request tqdm append LeCaR range len int list format print request tqdm ARC append range len int remove defaultdict format list print popleft len tqdm set add getFurthestAccessBlock append range enumerate int int int list format print tqdm deque range append len pop int list format print tqdm deque range append len append int range len append pop range len Freq tqdm minDistance split round round show list columns plot ylabel read_csv | vlgiitr/deep_cache_replacement | 4,035 |
vlkniaz/MAGritte | ['semantic segmentation'] | ['The Point Where Reality Meets Fantasy: Mixed Adversarial Generators for Image Splice Detection'] | options/train_options.py data/image_folder.py train.py data/__init__.py data/magritte_edge_dataset.py util/image_pool.py models/__init__.py models/base_model.py util/html.py data/magritte_edge_sem_dataset.py options/base_options.py test.py util/__init__.py models/magritte_edge_sem_model.py data/base_dataset.py data/magritte_dataset.py data/magritte_sem_dataset.py models/magritte_edge_model.py util/util.py models/magritte_model.py models/magritte_sem_model.py options/__init__.py models/networks.py data/template_dataset.py options/test_options.py util/visualizer.py BaseDataset __flip get_transform __crop __make_power_2 __scale_height __print_size_warning __scale_width get_params is_image_file make_magritte_sem_dataset make_magritte_dataset make_ab_dataset make_magritte_edge_dataset make_dataset make_magritte_edge_sem_dataset ImageFolder default_loader MagritteDataset MagritteEdgeDataset MagritteEdgeSemDataset MagritteSemDataset TemplateDataset CustomDatasetDataLoader get_option_setter find_dataset_using_name create_dataset BaseModel MAGritteEdgeModel MAGritteEdgeSemModel MAGritteModel MAGritteSemModel UnetNNGenerator get_norm_layer PixelDiscriminator GANLoss ResnetGenerator ResnetBlock define_D UnetGenerator balancedL1_single UnetSkipConnectionBlock init_weights balancedL1 get_scheduler init_net UnetNNSkipConnectionBlock NLayerDiscriminator cal_gradient_penalty define_G get_option_setter create_model find_model_using_name BaseOptions TestOptions TrainOptions 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 int size size print is_image_file join sorted append walk is_image_file join sorted append walk is_image_file join sorted append walk is_image_file join sorted shuffle append walk is_image_file join sorted append walk is_image_file join sorted append walk items list import_module replace find_dataset_using_name CustomDatasetDataLoader load_data BatchNorm2d partial InstanceNorm2d LambdaLR CosineAnnealingLR ReduceLROnPlateau StepLR abs clamp sum range print apply init_weights to DataParallel ResnetGenerator UnetNNGenerator UnetGenerator get_norm_layer NLayerDiscriminator PixelDiscriminator get_norm_layer view size rand grad mean requires_grad_ netD to items list replace print exit import_module find_model_using_name print __name__ find_model_using_name model data isinstance transpose tile Tensor numpy print parameters fromarray save print float64 astype flatten shape mkdir makedirs join list basename items get_image_dir imresize add_images shape add_header append save_image tensor2im | vlkniaz/MAGritte | 4,036 |
vnbot2/object-locator | ['object localization'] | ['Locating Objects Without Bounding Boxes'] | losses.py train.py data.py models/unet_model.py models/__init__.py summary.py models/unet_parts.py utils.py create_dataset cdist trim_invalid_value WeightedHausdorffDistance generaliz_mean get_mean_grad draw_points UNet up_bilinear outconv up double_conv down inconv padded_batch from_tensor_slices map index reduce_mean float32 reduce_sum sqrt cast expand_dims reduce_mean cast float32 boolean_mask reduce_mean stack append circle zeros_like zip as_list | vnbot2/object-locator | 4,037 |
vobecant/DummyNet | ['autonomous driving'] | ['Artificial Dummies for Urban Dataset Augmentation'] | models/sync_batchnorm/comm.py models/sync_batchnorm/batchnorm_reimpl.py models/sync_batchnorm/batchnorm.py models/sync_batchnorm/replicate.py augment_nightowls.py position_proposer.py models/MaskEstimator.py dataloader.py models/sync_batchnorm/__init__.py models/customLayers.py models/sync_batchnorm/unittest.py models/utils.py inference_utils.py augment_cs.py models/DummyGAN.py models/training_options.py models/DataTools.py main_dummy_gan.py definitions.py loaders.py models/Losses.py models/networks.py pose_generator.py models/constants.py SimpleLoader GaussianSmoothing Transformer Cityscapes_crops shift_joints get_ellipse_params get_keypoint_masks random_from_range fit_to_image YBB_Dataset get_torso_points openpose2coco_order get_person_joints get_reader_imageio show_image valid_annotation get_frame get_skeleton_mask_openpose get_widths crop_image load_maskrcnn resize_joints estimate_mask load_networks encode_appearance get_loader Cityscapes SampleLoader set_seeds get_abs_pose plot_pose get_active_joints get_distribution generate_skeletons main PositionProposer exp inserted_bbox intersect1d insert2segmentation xywh_intersection xyxy2xywh bboxes_intersect BilinearInterpolation ResidualBlock SpectralNorm _equalized_gatedConv2d l2normalize AdaptiveInstanceNorm2d UNetUp get_activation UNetCore LinearBlock UNetDown GatedConv2d _equalized_deconv2d _equalized_conv2d get_data_loader remove_module BaseNetwork SPADE get_nonspade_norm_layer KeypointsDownsampler DummyGenerator Dummy_GAN NLayerDiscriminator SPADEResnetBlock WGAN_GP KL_loss L1MaskedLoss GANLoss L2MaskedLoss rgb2gray MaskedLoss VGGLoss ConditionalGANLoss LinearActivation MaskEstimator VGG19 VAE_enc_only BaseOptions count_trainable_parameters invert_bin_tensor draw_skeleton _sum_ft convert_model SynchronizedBatchNorm2d _unsqueeze_ft _SynchronizedBatchNorm SynchronizedBatchNorm1d SynchronizedBatchNorm3d BatchNorm2dReimpl SyncMaster FutureResult SlavePipe execute_replication_callbacks CallbackContext DataParallelWithCallback patch_replication_callback TorchTestCase min max intersection uniform_ append asarray astype astype array time format print size open array crop isinstance Image abs max min show imshow title figure int append fill ceil zeros max circle enumerate rad2deg get_ellipse_params show all get_torso_points imshow range arctan2 astype zip fill get_widths int line ellipse fillConvexPoly zeros circle len mean int abs sqrt append int min_image_size merge_from_file format print add_argument config_file freeze COCODemo merge_from_list ArgumentParser opts parse_args load join int format list replace items name VAE_enc_only DummyGenerator OrderedDict load_state_dict depth save_dir listdir MaskEstimator me_input_resizer to estimator clamp_ namedtuple manual_seed_all seed manual_seed set_aspect subplot show plot pause set_xlim min astype axis clf savefig zeros max range round max min append ravel astype range str print cumsum linspace zeros sum range len load str join get_abs_pose inverse_transform print plot_pose get_distribution astype tolist get_active_joints figure append zeros range len seed load join list zip print dict generate_skeletons item append xywh_intersection append reshape zeros_like min copy where max zeros min max where lower DataLoader OrderedDict items list replace set_aspect show format subplots all plot set_ylim set_xlim close choice savefig max enumerate len items sorted requires_grad list format print numel named_parameters OrderedDict sum eps num_features affine isinstance named_children momentum running_mean add_module DataParallel DataParallelWithCallback zip running_var module sync_module detach list hasattr __data_parallel_replicate__ modules enumerate len replicate | vobecant/DummyNet | 4,038 |
vsaase/simpleBAD | ['anomaly detection'] | ['Simple statistical methods for unsupervised brain anomaly detection on MRI are competitive to deep learning methods'] | inversecovariance.py sampleanalysis.py toh5_anon.py pcakernel.py voxelanalysis.py deface.py anonymize.py vae.py auc_delong_xu.py boxplots.py util.py registration.py visualize.py test_patho.py tensor2nifti.py test_healthy.py mri_dataloaders.py hashid deface json_anon fastDeLong_no_weights fastDeLong_weights auc_ci_Delong compute_midrank fastDeLong calc_pvalue compute_midrank_weight compute_ground_truth_statistics delong_roc_test delong_roc_variance calc_icov mahalanobis2 Dataset3dNonlinearAnonymized Dataset3dH5 Dataset3dNonlinear compute_kernelrow pca_project_test main2 pca_project direct_project compute_kernelrow_local reg nii2int16 inverse_MNI_T2 run_MNI_nonlinear antsAffineToOrthogonal biascorrect allRegistrations run_MNI_T2 main tensor2nifti_mprage numpy2nifti_mprage main main ztransform main create_train_idxs create_patho_sample44 ResBlock mseloss Decoder VAE Encoder UpSample loss_function DownSample main main load int16 get_fdata set_data_dtype astype Nifti1Image to_filename argsort zeros empty len cumsum argsort mean zeros empty len dot empty cov compute_midrank_weight sum range compute_midrank empty cov float sum range T dot sqrt abs array diff argsort int sum fastDeLong compute_ground_truth_statistics fastDeLong compute_ground_truth_statistics ppf sqrt abs array delong_roc_variance File chunks zeros arange get_fdata deepcopy create_train_idxs Tensor print matmul mean inverse eye create_train_idxs compute_kernelrow_local print matmul mean inverse eye zeros create_train_idxs cuda len get_fdata sum Tensor create_train_idxs get_fdata sum Tensor create_train_idxs get_fdata sum Tensor load int16 set_data_dtype astype Nifti1Image save reshape savemat qr loadmat range JoinSeries list SetIndex GetSize print sitkFloat32 N4BiasFieldCorrectionImageFilter ExtractImageFilter WriteImage ReadImage sitkUInt8 SetSize range Execute zip nii2int16 print system biascorrect isfile hexdigest makedirs zip nii2int16 print system isfile hexdigest makedirs system hexdigest print run_MNI_nonlinear hexdigest run_MNI_T2 enumerate list reg partial map range Pool read_csv len list savez concatenate print get_fdata File average_precision_score mean anon choices zeros array range roc_auc_score load dtype str affine set_data_dtype header Nifti1Image numpy to_filename moveaxis range load dtype str affine set_data_dtype header Nifti1Image to_filename moveaxis range load VAE DataLoader load_state_dict Tensor create_train_idxs Dataset3dH5 Dataset3dNonlinearAnonymized read_csv Dataset3dNonlinear sqrt sum cuda len shuffle list range list shuffle read_csv range len mean pow abs exp zero_grad verbose addmin save dataset voxnorm exists mseloss step Adam append item num_epochs batch learning_rate backward maskloss min tqdm parameters vae loss_function | vsaase/simpleBAD | 4,039 |
vsatyakumar/automatic-local-outlier-factor-tuning | ['anomaly detection'] | ['Automatic Hyperparameter Tuning Method for Local Outlier Factor, with Applications to Anomaly Detection'] | lof_tuner.py LOF_AutoTuner | vsatyakumar/automatic-local-outlier-factor-tuning | 4,040 |
vskadandale/multichannel-unet-bss | ['music source separation'] | ['Multi-channel U-Net for Music Source Separation'] | models/wrapper.py train/cunet.py utils/utils.py eval/eval_metrics.py test/dwa.py train/spec_channel_unet.py train/grad_based.py train/unit_weighted.py test/grad_based.py train/energy_based.py eval/stitch_audio.py loss/losses.py train/spec_channel_unet_nomasks.py test/energy_based.py utils/EarlyStopping.py dataset/downsample_gt.py train/baseline.py utils/plots/energy_distrib_plots.py test/baseline.py test/cunet.py dataset/dataloaders.py utils/plots/generate_spectrograms.py settings.py test/unit_weighted.py dataset/compute_energy.py dataset/preprocessing.py models/cunet.py utils/plots/tables.py dataset/filter_musdb_split.py utils/plots/results.py test/spec_channel_unet.py train/dwa.py set_path UnetInputUnfiltered CUnetInput UnetInput split_sources _stft get_signal_energy save_chunks get_sources gradient_loss SingleSourceDirectLoss EnergyBasedLossPowerP IndividualLosses SpecChannelUnetLoss UnitWeightedLoss GradientLoss CUNetLoss EnergyBasedLossInstantwise EnergyBasedLossPowerPMask CUNet TransitionBlock center_crop ConvolutionalBlock DenseBlock isnumber crop AtrousBlock CUNetWrapper Wrapper SpecChannelUnetNoMaskWrapper main Baseline main CUNetTest DWA main main EnergyBased main GradBased main SpecChannelUnet main UnitWeighted main Baseline main CUNetTrain DWA main main EnergyBased main GradBased main SpecChannelUnet main SpecChannelUnetNoMask main UnitWeighted EarlyStopping save_spectrogram power_to_db get_conditions create_folder amplitude_to_db setup_logger warpgrid rescale istft_reconstruction linearize_log_freq_scale plot_spectrogram makedirs list partial resample map stack int concatenate reshape shape max size cuda join str int create_folder write_wav get_signal_energy zeros round enumerate len abs gradient int size round load items list replace UNet OrderedDict Baseline load_state_dict train Wrapper CUNetWrapper CUNetTest CUNet DWA EnergyBased GradBased SpecChannelUnet UnitWeighted CUNetTrain SpecChannelUnetNoMaskWrapper SpecChannelUnetNoMask setFormatter getLogger addHandler StreamHandler Formatter setLevel FileHandler umask makedirs ref size expand log10 tensor max callable detach ref pow tensor abs callable min max power astype float32 linspace meshgrid zeros log complex exp astype istft grid_sample make_grid add_images amplitude_to_db rescale unsqueeze cpu rescale amplitude_to_db save list arange ones append zeros max | vskadandale/multichannel-unet-bss | 4,041 |
vsyrgkanis/adversarial_gmm | ['causal inference'] | ['Adversarial Generalized Method of Moments'] | monte_carlo_w_features.py deep_gmm.py gmm_game_graph.py monte_carlo.py combine.py utils.py main test DeepGMM uniform_kernel BinCritic gaussian_kernel dnn_regressor Modeler GaussianCritic GMMGameGraph get_data test deep_iv_fit get_data test deep_iv_fit log_function loadmodel generate_random_pw_linear LoopIterator save plot_3d scope_variables ArgumentParser xticks violinplot subplot dir ylim title savefig parse_args sum jitter dgp_two radius num_steps format num_instruments n_samples glob func join print add_argument n_critics isnan strength any figure median array percentile use plot xlabel reshape ylabel get_data savefig linspace DeepGMM figure tau_fn legend predict fit exp pi pow scalar_mul abs int concat range len Response min feed_forward_net Dense Treatment Input compile fit normal reshape tau_fn arange MultiTaskElasticNet generate_random_pw_linear flatten MLPRegressor seed subplot locals list mse_test shape PolynomialFeatures scatter fit_transform format product shuffle ElasticNet Pipeline LinearRegression join print array uniform concatenate plot_3d arange print sort choice uniform append range axes plot_surface griddata join restore basename get_checkpoint_state model_checkpoint_path global_variables_initializer run join max reshape min HistogramProto mean unique add_summary append zeros float sum array range Summary enumerate | vsyrgkanis/adversarial_gmm | 4,042 |
vt-vl-lab/DRG | ['human object interaction detection'] | ['DRG: Dual Relation Graph for Human-Object Interaction Detection'] | maskrcnn_benchmark/data/datasets/hico.py maskrcnn_benchmark/modeling/make_layers.py maskrcnn_benchmark/modeling/rpn/loss.py tools/vcoco_compute_mAP.py maskrcnn_benchmark/layers/roi_align.py maskrcnn_benchmark/utils/model_zoo.py maskrcnn_benchmark/solver/__init__.py maskrcnn_benchmark/layers/nms.py tools/test_net_HICO_sp_object_centric.py tools/test_net_VCOCO_app.py maskrcnn_benchmark/modeling/balanced_positive_negative_sampler.py maskrcnn_benchmark/utils/imports.py maskrcnn_benchmark/data/samplers/distributed.py maskrcnn_benchmark/utils/env.py maskrcnn_benchmark/data/datasets/evaluation/hico/hico_compute_mAP.py maskrcnn_benchmark/data/samplers/iteration_based_batch_sampler.py maskrcnn_benchmark/layers/_utils.py maskrcnn_benchmark/layers/dcn/__init__.py maskrcnn_benchmark/layers/dcn/deform_conv_func.py maskrcnn_benchmark/modeling/detector/__init__.py maskrcnn_benchmark/utils/metric_logger.py maskrcnn_benchmark/modeling/rpn/utils.py maskrcnn_benchmark/modeling/backbone/__init__.py maskrcnn_benchmark/modeling/rpn/__init__.py maskrcnn_benchmark/modeling/roi_heads/box_head/roi_box_feature_extractors.py maskrcnn_benchmark/structures/bounding_box.py setup.py maskrcnn_benchmark/data/samplers/grouped_batch_sampler.py maskrcnn_benchmark/modeling/rpn/retinanet/inference.py maskrcnn_benchmark/utils/comm.py maskrcnn_benchmark/layers/__init__.py maskrcnn_benchmark/data/datasets/vcoco_object.py maskrcnn_benchmark/modeling/detector/appearance_branch.py tools/test_net_HICO_app.py maskrcnn_benchmark/layers/dcn/deform_pool_func.py maskrcnn_benchmark/structures/segmentation_mask.py maskrcnn_benchmark/modeling/roi_heads/keypoint_head/loss.py maskrcnn_benchmark/modeling/roi_heads/mask_head/roi_mask_feature_extractors.py tools/test_net_HICO_sp.py maskrcnn_benchmark/utils/Generate_HICO_detection.py tools/test_net_HICO_merge_human_object_app.py maskrcnn_benchmark/structures/keypoint.py maskrcnn_benchmark/modeling/poolers.py maskrcnn_benchmark/layers/misc.py maskrcnn_benchmark/data/transforms/__init__.py maskrcnn_benchmark/modeling/rpn/rpn.py maskrcnn_benchmark/utils/cv2_util.py maskrcnn_benchmark/utils/timer.py maskrcnn_benchmark/layers/smooth_l1_loss.py maskrcnn_benchmark/modeling/spatial_heads/build_spatial.py maskrcnn_benchmark/utils/miscellaneous.py maskrcnn_benchmark/modeling/rpn/retinanet/loss.py maskrcnn_benchmark/modeling/roi_heads/keypoint_head/inference.py tools/train_net.py maskrcnn_benchmark/layers/dcn/deform_conv_module.py maskrcnn_benchmark/data/build.py maskrcnn_benchmark/modeling/roi_heads/keypoint_head/keypoint_head.py maskrcnn_benchmark/data/datasets/vcoco.py maskrcnn_benchmark/modeling/backbone/resnet.py maskrcnn_benchmark/modeling/roi_heads/mask_head/inference.py maskrcnn_benchmark/data/datasets/hico_object.py maskrcnn_benchmark/modeling/roi_heads/mask_head/loss.py maskrcnn_benchmark/utils/collect_env.py maskrcnn_benchmark/utils/logger.py maskrcnn_benchmark/utils/visualization.py maskrcnn_benchmark/layers/batch_norm.py maskrcnn_benchmark/modeling/ho_heads/human_head/human_head.py maskrcnn_benchmark/utils/checkpoint.py maskrcnn_benchmark/structures/image_list.py maskrcnn_benchmark/utils/colormap.py maskrcnn_benchmark/data/collate_batch.py maskrcnn_benchmark/modeling/roi_heads/mask_head/mask_head.py maskrcnn_benchmark/modeling/roi_heads/keypoint_head/roi_keypoint_predictors.py maskrcnn_benchmark/modeling/detector/o_centric_spatial_branch.py maskrcnn_benchmark/modeling/utils.py maskrcnn_benchmark/modeling/roi_heads/roi_heads.py maskrcnn_benchmark/engine/__init__.py demo/demo_obj_det.py maskrcnn_benchmark/modeling/registry.py maskrcnn_benchmark/utils/apply_prior.py maskrcnn_benchmark/modeling/detector/generalized_rcnn.py maskrcnn_benchmark/modeling/roi_heads/keypoint_head/roi_keypoint_feature_extractors.py maskrcnn_benchmark/modeling/ho_heads/object_head/object_head.py maskrcnn_benchmark/modeling/roi_heads/mask_head/roi_mask_predictors.py maskrcnn_benchmark/modeling/roi_heads/box_head/roi_box_predictors.py maskrcnn_benchmark/modeling/detector/object_det_rcnn.py maskrcnn_benchmark/data/samplers/__init__.py maskrcnn_benchmark/config/paths_catalog.py maskrcnn_benchmark/modeling/box_coder.py demo/predictor.py maskrcnn_benchmark/data/transforms/transforms.py maskrcnn_benchmark/modeling/backbone/backbone.py maskrcnn_benchmark/modeling/roi_heads/box_head/box_head.py maskrcnn_benchmark/structures/boxlist_ops.py tools/test_net_VCOCO_sp.py maskrcnn_benchmark/__init__.py maskrcnn_benchmark/modeling/ho_heads/object_head/object_feature_extractors.py maskrcnn_benchmark/config/defaults.py maskrcnn_benchmark/layers/sigmoid_focal_loss.py maskrcnn_benchmark/utils/registry.py maskrcnn_benchmark/modeling/rpn/anchor_generator.py maskrcnn_benchmark/modeling/ho_heads/human_head/human_feature_extractors.py maskrcnn_benchmark/data/datasets/__init__.py maskrcnn_benchmark/data/__init__.py maskrcnn_benchmark/solver/lr_scheduler.py tools/test_net_VCOCO_merge_human_object_app.py maskrcnn_benchmark/utils/model_serialization.py maskrcnn_benchmark/modeling/backbone/fpn.py scripts/Download_data.py maskrcnn_benchmark/modeling/spatial_heads/build_spatial_object_centric.py maskrcnn_benchmark/data/datasets/evaluation/vcoco/vsrl_eval.py maskrcnn_benchmark/data/datasets/abstract.py maskrcnn_benchmark/utils/c2_model_loading.py maskrcnn_benchmark/modeling/roi_heads/box_head/inference.py maskrcnn_benchmark/modeling/roi_heads/box_head/loss.py maskrcnn_benchmark/config/__init__.py maskrcnn_benchmark/modeling/rpn/inference.py maskrcnn_benchmark/solver/build.py maskrcnn_benchmark/modeling/matcher.py maskrcnn_benchmark/modeling/detector/detectors.py maskrcnn_benchmark/modeling/rpn/retinanet/retinanet.py tools/test_net_VCOCO_sp_object_centric.py maskrcnn_benchmark/layers/roi_pool.py maskrcnn_benchmark/modeling/detector/h_centric_spatial_branch.py maskrcnn_benchmark/data/datasets/list_dataset.py maskrcnn_benchmark/engine/trainer.py maskrcnn_benchmark/layers/dcn/deform_pool_module.py maskrcnn_benchmark/data/transforms/build.py get_extensions main Resize COCODemo DatasetCatalog ModelCatalog make_data_sampler _quantize make_data_loader make_batch_data_sampler build_dataset _compute_aspect_ratios BatchCollator BBoxAugCollator AbstractDataset HICODataset HICODatasetObject ListDataset VCOCODataset VCOCODatasetObject compute_hico_map compute_ap eval_hoi compute_pr compute_mAP compute_normalized_pr load_gt_dets compute_iou match_hoi compute_area main _load_vcoco get_overlap clip_xyxy_to_image voc_ap VCOCOeval DistributedSampler GroupedBatchSampler IterationBasedBatchSampler build_transforms Compose ToTensor RandomVerticalFlip Resize Normalize RandomHorizontalFlip ColorJitter run_summary_op add_score_summary do_train reduce_loss_dict FrozenBatchNorm2d _NewEmptyTensorOp Conv2d DFConv2d interpolate BatchNorm2d ConvTranspose2d ROIAlign _ROIAlign _ROIPool ROIPool SigmoidFocalLoss _SigmoidFocalLoss sigmoid_focal_loss_cpu smooth_l1_loss _load_C_extensions DeformConvFunction ModulatedDeformConvFunction ModulatedDeformConv DeformConv ModulatedDeformConvPack DeformRoIPoolingFunction DeformRoIPoolingPack ModulatedDeformRoIPoolingPack DeformRoIPooling BalancedPositiveNegativeSampler BoxCoder conv_with_kaiming_uniform make_conv3x3 get_group_gn make_fc group_norm Matcher make_pooler LevelMapper Pooler cat build_resnet_fpn_p3p7_backbone build_backbone build_resnet_fpn_backbone build_resnet_backbone LastLevelMaxPool FPN LastLevelP6P7 StemWithGN ResNetHead _make_stage ResNet BottleneckWithGN Bottleneck StemWithFixedBatchNorm BottleneckWithFixedBatchNorm BaseStem appearance_branch build_detection_model GeneralizedRCNN human_centric_spatial_branch ObjectDetRCNN object_centric_spatial_branch make_human_feature_extractor FPN2MLPFeatureExtractor ResNet50Conv5ROIFeatureExtractor FPNPredictor make_human_predictor build_human_head HumanHead FastRCNNPredictor FPN2MLPFeatureExtractor make_object_feature_extractor ResNet50Conv5ROIFeatureExtractor FPNPredictor ObjectHead build_object_head FastRCNNPredictor make_object_predictor CombinedROIHeads build_roi_heads build_roi_box_head ROIBoxHead PostProcessor make_roi_box_post_processor make_roi_box_loss_evaluator FastRCNNLossComputation make_roi_box_feature_extractor FPNXconv1fcFeatureExtractor FPN2MLPFeatureExtractor ResNet50Conv5ROIFeatureExtractor FPNPredictor make_roi_box_predictor FastRCNNPredictor heatmaps_to_keypoints Keypointer make_roi_keypoint_post_processor KeypointPostProcessor ROIKeypointHead build_roi_keypoint_head make_roi_keypoint_loss_evaluator project_keypoints_to_heatmap KeypointRCNNLossComputation _within_box cat_boxlist_with_keypoints KeypointRCNNFeatureExtractor make_roi_keypoint_feature_extractor KeypointRCNNPredictor make_roi_keypoint_predictor paste_mask_in_image expand_boxes Masker make_roi_mask_post_processor MaskPostProcessorCOCOFormat expand_masks MaskPostProcessor make_roi_mask_loss_evaluator MaskRCNNLossComputation project_masks_on_boxes keep_only_positive_boxes ROIMaskHead build_roi_mask_head MaskRCNNFPNFeatureExtractor make_roi_mask_feature_extractor MaskRCNNC4Predictor MaskRCNNConv1x1Predictor make_roi_mask_predictor AnchorGenerator generate_anchors _scale_enum _whctrs make_anchor_generator _ratio_enum make_anchor_generator_retinanet _generate_anchors BufferList _mkanchors make_rpn_postprocessor RPNPostProcessor RPNLossComputation generate_rpn_labels make_rpn_loss_evaluator build_rpn RPNHeadFeatureSingleConv RPNModule RPNHead RPNHeadConvRegressor concat_box_prediction_layers permute_and_flatten make_retinanet_postprocessor RetinaNetPostProcessor make_retinanet_loss_evaluator generate_retinanet_labels RetinaNetLossComputation build_retinanet RetinaNetHead RetinaNetModule SPModule build_spatial Flatten SPModuleObjectCentric build_spatial_object_centric Flatten make_optimizer make_lr_scheduler WarmupMultiStepLR BoxList cat_boxlist boxlist_iou boxlist_nms remove_small_boxes _cat ImageList to_image_list PersonKeypoints kp_connections _create_flip_indices Keypoints keypoints_to_heat_map SegmentationMask PolygonList PolygonInstance BinaryMaskList apply_prior_Graph apply_prior _rename_basic_resnet_weights _rename_conv_weights_for_deformable_conv_layers load_resnet_c2_format load_c2_format _rename_weights_for_resnet _load_c2_pickled_weights _rename_fpn_weights DetectronCheckpointer Checkpointer collect_env_info get_pil_version colormap synchronize get_world_size reduce_dict all_gather get_rank is_main_process findContours setup_environment setup_custom_environment Generate_HICO_detection import_file setup_logger SmoothedValue MetricLogger load_json_object read dump_json_object save_labels save_config write mkdir NumpyAwareJSONEncoder strip_prefix_if_present load_state_dict align_and_update_state_dicts cache_url _register_generic Registry get_time_str Timer _draw_single_box add_gt_image draw_bounding_boxes download_file_from_google_drive bbox_trans generate_spatial im_detect main run_test main run_test bbox_trans generate_spatial im_detect main run_test bbox_trans generate_spatial im_detect main run_test bbox_trans generate_spatial im_detect main run_test main run_test bbox_iou bbox_trans generate_spatial im_detect main run_test bbox_trans generate_spatial im_detect bbox_iou main run_test main train main glob join dirname abspath merge_from_file get_result_dict config_file add_argument freeze COCODemo merge_from_list ArgumentParser opts parse_args imread join dirname abspath get ConcatDataset getattr append factory SequentialSampler RandomSampler list sorted copy get_img_info append float range len BatchSampler IterationBasedBatchSampler GroupedBatchSampler _quantize _compute_aspect_ratios import_file getLogger MAX_ITER DataLoader warning OUTPUT_DIR DatasetCatalog NEGATIVE_TO_POSITIVE_SAMPLE_RATIO append build_transforms build_dataset TEST IMS_PER_BATCH get_world_size TRAIN make_data_sampler save_labels PATHS_CATALOG NUM_WORKERS VAL make_batch_data_sampler min max compute_area compute_iou enumerate isnan any max arange cumsum array nan cumsum sum array nan load int compute_ap join compute_pr print tolist len match_hoi save append open load join print append open starmap dump_json_object Pool open list sorted load_gt_dets append load_json_object close set mkdir keys load join items print compute_mAP write len compute_hico_map num_processes subset out_dir pred_hoi_dets T print reshape range len minimum maximum minimum maximum concatenate size maximum sum range BRIGHTNESS TO_BGR255 SATURATION VERTICAL_FLIP_PROB_TRAIN CONTRAST MIN_SIZE_TEST HUE Compose MIN_SIZE_TRAIN Normalize MAX_SIZE_TRAIN MAX_SIZE_TEST HORIZONTAL_FLIP_PROB_TRAIN ColorJitter items list add_score_summary item append scalar get_world_size getLogger model zero_grad save str list run_summary_op MetricLogger to TB_DIR update format synchronize close FileWriter timedelta eval info float keys reduce_loss_dict enumerate join remove time isinstance makedirs add_summary global_avg train step len _output_size tuple dtype sigmoid unsqueeze device log abs where join glob extend dirname abspath EPSILON DIM_PER_GP NUM_GROUPS group_norm Conv2d bias normal_ kaiming_normal_ ReLU append weight constant_ kaiming_uniform_ bias weight constant_ Linear POOLER_RESOLUTION POOLER_SCALES POOLER_SAMPLING_RATIO Pooler OrderedDict ResNet Sequential BACKBONE_OUT_CHANNELS FPN ResNet Sequential OrderedDict RES2_OUT_CHANNELS BACKBONE_OUT_CHANNELS FPN ResNet Sequential OrderedDict RES2_OUT_CHANNELS BACKBONE_OUT_CHANNELS append transformation_module range MASK_ON CombinedROIHeads RETINANET_ON KEYPOINT_ON append CLS_AGNOSTIC_BBOX_REG BoxCoder DETECTIONS_PER_IMG ENABLED PostProcessor BBOX_REG_WEIGHTS USE_FPN NMS SCORE_THRESH POSITIVE_FRACTION FG_IOU_THRESHOLD CLS_AGNOSTIC_BBOX_REG BATCH_SIZE_PER_IMAGE BoxCoder BalancedPositiveNegativeSampler BBOX_REG_WEIGHTS BG_IOU_THRESHOLD Matcher FastRCNNLossComputation int transpose maximum resize ceil zeros argmax range len Keypointer KeypointPostProcessor convert cat_boxlist add_field get_fields cat POSITIVE_FRACTION FG_IOU_THRESHOLD BATCH_SIZE_PER_IMAGE BalancedPositiveNegativeSampler KeypointRCNNLossComputation BG_IOU_THRESHOLD Matcher RESOLUTION zeros_like float new_zeros int bool float expand_masks min float32 expand interpolate zeros to max POSTPROCESS_MASKS POSTPROCESS_MASKS_THRESHOLD Masker MaskPostProcessor zip convert device resize append to crop get_mask_tensor FG_IOU_THRESHOLD MaskRCNNLossComputation BG_IOU_THRESHOLD Matcher RESOLUTION get_field squeeze append AnchorGenerator STRADDLE_THRESH ANCHOR_SIZES ANCHOR_STRIDE USE_FPN ASPECT_RATIOS AnchorGenerator STRADDLE_THRESH OCTAVE ANCHOR_SIZES tuple SCALES_PER_OCTAVE append float ASPECT_RATIOS ANCHOR_STRIDES range vstack _ratio_enum array hstack sqrt _whctrs round _mkanchors _whctrs _mkanchors NMS_THRESH FPN_POST_NMS_TOP_N_TRAIN POST_NMS_TOP_N_TRAIN RPNPostProcessor FPN_POST_NMS_PER_BATCH POST_NMS_TOP_N_TEST MIN_SIZE PRE_NMS_TOP_N_TRAIN FPN_POST_NMS_TOP_N_TEST PRE_NMS_TOP_N_TEST get_field POSITIVE_FRACTION FG_IOU_THRESHOLD RPNLossComputation BATCH_SIZE_PER_IMAGE BalancedPositiveNegativeSampler BG_IOU_THRESHOLD Matcher RETINANET_ON reshape permute view permute_and_flatten reshape shape zip append NMS_TH DETECTIONS_PER_IMG INFERENCE_TH PRE_NMS_TOP_N RetinaNetPostProcessor get_field FG_IOU_THRESHOLD RetinaNetLossComputation SigmoidFocalLoss LOSS_GAMMA BG_IOU_THRESHOLD Matcher LOSS_ALPHA WEIGHT_DECAY_BIAS SGD named_parameters BASE_LR BIAS_LR_FACTOR WEIGHT_DECAY convert _box_nms get_field bbox mode squeeze unbind bbox clamp min convert area max len add_field size set BoxList _cat fields mode int list isinstance tuple copy_ zero_ zip ceil Tensor update copy long concatenate apply_prior empty range len enumerate max _rename_basic_resnet_weights sorted format getLogger OrderedDict from_numpy info keys _rename_fpn_weights sorted format replace getLogger match STAGE_WITH_DCN info keys enumerate CONV_BODY _rename_conv_weights_for_deformable_conv_layers replace _rename_weights_for_resnet _load_c2_pickled_weights get_pretty_env_info reshape astype float32 barrier get_world_size from_buffer dumps get_world_size loads zip append to max cat get_world_size startswith get setup_custom_environment setup_environment import_file abspath open str list tolist dirname append range keys enumerate load join remove items int print makedirs zfill savemat len spec_from_file_location exec_module module_from_spec setFormatter join getLogger addHandler StreamHandler Formatter DEBUG setLevel FileHandler makedirs update join categories format hasattr getLogger warning info __name__ is_main_process is_main_process encode compress write dumps max list sorted format view getLogger tuple tolist shape info keys enumerate len items sorted list OrderedDict keys strip_prefix_if_present align_and_update_state_dicts state_dict join basename format replace synchronize write search group getenv path _download_url_to_file expanduser urlparse makedirs str timedelta PIXEL_MEAN copy line Draw text rectangle ceil getsize fromarray int uint8 copy _draw_single_box round array range get get_confirm_token save_response_content Session copy zeros bbox_trans numpy abspath open list FloatTensor dirname append build_transforms to SIZE_DIVISIBILITY range concatenate size eval to_image_list zip empty keys join isinstance reshape convert zfill BoxList transforms bbox len getLogger abspath Timer open seed get_time_str tic dirname im_detect dump format glob synchronize total_time info enumerate toc join int RNG_SEED tqdm len prior_flag abspath OUTPUT_DIR open collect_env_info set_device dirname get_rank to TEST get format build_detection_model init_process_group synchronize num_iteration setup_logger mkdir init info zip run_test enumerate load join print DetectronCheckpointer local_rank len append sp_object_pkl dataset_name app_pkl sp_human_pkl max apply_prior_Graph _do_eval VCOCOeval minimum maximum apply_prior_Graph concatenate reshape shape zeros max range sp_object_detection sp_human_detection app_detection list asarray items make_optimizer load initialize update build_detection_model TEST_PERIOD CHECKPOINT_PERIOD WEIGHT DistributedDataParallel DetectronCheckpointer do_train make_data_loader to OUTPUT_DIR make_lr_scheduler save_config distributed remove isfile train detection_file | vt-vl-lab/DRG | 4,043 |
vt-vl-lab/FGVC | ['video inpainting'] | ['Flow-edge Guided Video Completion'] | edgeconnect/models.py models/DeepFill_Models/DeepFill.py RAFT/datasets.py edgeconnect/utils.py RAFT/demo.py utils/Poisson_blend_img.py models/DeepFill_Models/ops.py edgeconnect/metrics.py tool/get_flowNN.py RAFT/utils/flow_viz.py tool/video_completion.py RAFT/utils/__init__.py models/__init__.py RAFT/update.py edgeconnect/dataset.py utils/region_fill.py RAFT/__init__.py tool/spatial_inpaint.py RAFT/utils/frame_utils.py utils/Poisson_blend.py edgeconnect/__init__.py edgeconnect/config.py RAFT/utils/utils.py RAFT/corr.py edgeconnect/networks.py edgeconnect/region_fill.py RAFT/raft.py utils/common_utils.py RAFT/extractor.py RAFT/utils/augmentor.py tool/get_flowNN_gradient.py edgeconnect/loss.py tool/frame_inpaint.py edgeconnect/edge_connect.py Config Dataset EdgeConnect AdversarialLoss StyleLoss TotalVariationalLoss PerceptualLoss VGG19 PSNR EdgeAccuracy EdgeModel BaseModel InpaintingModel BaseNetwork ResnetBlock spectral_norm EdgeGenerator_ Discriminator InpaintGenerator regionfillLaplace findBoundaryPixels padMatrix formRightSide regionfill computeNumberOfNeighbors stitch_images create_dir imshow create_mask Progbar imsave CoarseNet Generator RefinementNet Conv_Downsample Contextual_Attention_Module down_sample to_var Down_Module Up_Module_CNet l2_norm Dilation_Module Conv reduce_mean weights_init Flatten_Module Up_Module CorrLayer CorrBlock AlternateCorrBlock FlyingChairs KITTI MpiSintel FlyingThings3D fetch_dataloader HD1K FlowDataset RAFT_infer viz load_image_list demo load_image BasicEncoder ResidualBlock BottleneckBlock SmallEncoder RAFT FlowHead SmallMotionEncoder SepConvGRU BasicMotionEncoder ConvGRU SmallUpdateBlock BasicUpdateBlock SparseFlowAugmentor FlowAugmentor flow_to_image make_colorwheel flow_uv_to_colors writeFlow read_gen readFlowKITTI writeFlowKITTI readDispKITTI readPFM readFlow forward_interpolate InputPadder bilinear_sampler upflow8 coords_grid main parse_arges DeepFillv1 get_flowNN get_flowNN_gradient spatial_inpaint extrapolation edge_completion matchKeypoints infer_flow initialize_RAFT calculate_flow video_completion infer video_completion_seamless create_dir complete_flow homograpy main detectAndDescribe to_tensor gradient_mask torch_to_np get_KeySourceFrame_flowNN_gradient create_dir gradient_mask np_to_torch flow_edge BFconsistCheck save_video FBconsistCheck imsave postprocess IntPos PSNR softmax interp bboxes_mask sigmoid_ consistCheck get_KeySourceFrame_flowNN bboxes_mask_large combine Progbar solvePoisson sub2ind Poisson_blend constructEquation Poisson_blend_img solvePoisson sub2ind constructEquation regionfillLaplace findBoundaryPixels padMatrix formRightSide regionfill computeNumberOfNeighbors astype regionfillLaplace findBoundaryPixels resize getStructuringElement MORPH_CROSS dilate astype list arange tocsr concatenate size padMatrix formRightSide where computeNumberOfNeighbors shape spsolve range shape zeros zeros shape dtype astype makedirs zeros fromarray int new squeeze shape paste range len gcf show axis set_window_title fromarray squeeze save mean range reduce_sum arange transpose size repeat true_divide zeros cuda is_cuda is_available cuda FlyingChairs print KITTI MpiSintel FlyingThings3D DataLoader HD1K len float uint8 astype sorted shape stack append load_image to InputPadder flow_to_image numpy imwrite load model DataParallel eval RAFT load_state_dict to module load model DataParallel eval RAFT load_state_dict to module zeros floor arange uint8 arctan2 astype square pi sqrt floor int32 make_colorwheel zeros range square sqrt max clip list rstrip readline reshape map groups match flipud fromfile float open tofile write close shape zeros open astype float32 IMREAD_COLOR IMREAD_ANYDEPTH imread imread IMREAD_ANYDEPTH stack ones astype uint16 imwrite astype float32 griddata arange reshape shape stack meshgrid numpy grid_sample cat split meshgrid float arange parse_args add_argument ArgumentParser test_img imwrite print output_path test_mask IMREAD_UNCHANGED imread parse_arges DeepFillv1 reduce where abs list exp ones BFconsistCheck multiply logical_and shape FBconsistCheck Nonlocal sum expand_dims range format concatenate astype alpha interp deepcopy invert consistencyThres print reshape consistCheck float32 maximum get_KeySourceFrame_flowNN repeat int32 zeros bool len get_KeySourceFrame_flowNN_gradient reduce where abs list exp ones BFconsistCheck multiply logical_and shape FBconsistCheck Nonlocal sum expand_dims range format concatenate astype alpha interp deepcopy invert consistencyThres print reshape consistCheck float32 maximum repeat int32 zeros bool len sum argmax compute uint8 COLOR_BGR2GRAY astype float32 detectAndCompute detect SURF_create DescriptorExtractor_create FeatureDetector_create is_cv3 cvtColor DescriptorMatcher_create RANSAC float32 findHomography append knnMatch matchKeypoints reshape inv shape type detectAndDescribe numpy warpPerspective fromarray float to numpy cat reduce load model DataParallel eval RAFT load_state_dict to module deepcopy join model concatenate outroot writeFlow astype float32 dot homograpy save to numpy join outroot create_dir shape Nonlocal empty int H_scale format ones print astype float32 shape Nonlocal zeros W_scale range gradient_mask join format concatenate print outroot Poisson_blend create_dir shape regionfill zeros range gradient_mask format concatenate print infer shape device canny empty max range imwrite calculate_flow outroot create_dir device binary_dilation extrapolation str sorted edge_completion initialize_RAFT edge_completion_model get_flowNN EdgeGenerator_ load_state_dict edge_guide append to Nonlocal range path_mask glob mimwrite astype stack eval tile float load join print convert path complete_flow spatial_inpaint array DeepFillv1 len imwrite calculate_flow get_flowNN_gradient outroot create_dir device clip binary_dilation gradient_mask extrapolation str sorted edge_completion initialize_RAFT Poisson_blend_img edge_completion_model EdgeGenerator_ load_state_dict edge_guide append to Nonlocal range format path_mask concatenate glob mimwrite astype stack eval tile float empty load join deepcopy print convert float32 path complete_flow spatial_inpaint array DeepFillv1 len video_completion_seamless video_completion seamless int line shape zeros range join format system splitext zeros range int zeros astype canny_flow canny bool max exp ones multiply shape max reshape astype float32 remap INTER_LINEAR permute deepcopy deepcopy astype float32 remap shape INTER_LINEAR deepcopy reshape astype float32 logical_and shape FBconsistCheck int32 interp zeros range deepcopy reshape astype float32 logical_and shape FBconsistCheck int32 interp zeros range expand_dims astype int32 concatenate solvePoisson reshape shape tile zeros expand_dims range len sum sub2ind concatenate csr_matrix shape constructEquation zeros expand_dims empty len deepcopy concatenate ones reshape shape len solvePoisson reshape shape tile zeros expand_dims range deepcopy range | vt-vl-lab/FGVC | 4,044 |
vt-vl-lab/iCAN | ['human object interaction detection'] | ['iCAN: Instance-Centric Attention Network for Human-Object Interaction Detection'] | lib/ult/config.py lib/ult/Generate_HICO_detection.py lib/ult/vsrl_eval.py misc/Object_Detector.py tools/Test_ResNet_HICO.py lib/models/test_VCOCO.py lib/networks/iCAN_ResNet50_HICO.py lib/models/train_Solver_VCOCO.py tools/Diagnose_VCOCO.py lib/ult/visualization.py tools/Demo.py lib/models/test_HICO.py lib/ult/timer.py lib/ult/vcoco_diagnose.py lib/ult/apply_prior.py lib/networks/iCAN_ResNet50_VCOCO.py tools/Test_ResNet_VCOCO.py misc/resnet_v1.py tools/Train_ResNet_HICO.py lib/networks/iCAN_ResNet50_VCOCO_Early.py lib/ult/Download_data.py tools/_init_paths.py lib/ult/ult.py lib/models/train_Solver_HICO.py tools/Train_ResNet_VCOCO.py lib/models/test_demo.py get_blob test_net im_detect get_blob test_net im_detect get_blob test_net im_detect train_net SolverWrapper train_net SolverWrapper resnet_arg_scope ResNet50 resnet_arg_scope ResNet50 resnet_arg_scope ResNet50 apply_prior download_file_from_google_drive save_HICO Generate_HICO_detection Timer Get_Next_Instance_HO_spNeg bbox_trans Augmented_box bb_IOU Augmented_HO_spNeg Get_next_sp Augmented_HO_Neg_HICO Generate_action Get_Next_Instance_HO_Neg Get_Next_Instance_HO_Neg_HICO Generate_action_HICO Augmented_HO_Neg _load_vcoco VCOCOdiagnose get_overlap clip_xyxy_to_image voc_ap draw_bounding_boxes_HOI_PIC _draw_single_box draw_bounding_boxes draw_bounding_boxes_HOI _load_vcoco get_overlap clip_xyxy_to_image voc_ap VCOCOeval parse_args bb_IOU demo resnet_arg_scope resnetv1 parse_args parse_args parse_args parse_args parse_args add_path reshape astype float32 shape imread concatenate reshape get_blob apply_prior append test_image_HO empty max range test_image_H seed toc dump format RNG_SEED print glob average_time tic im_detect open zfill DATA_DIR int iglob DATA_DIR rstrip join remove ConfigProto makedirs get get_confirm_token save_response_content Session int items tolist min zfill savemat append range len load join remove save_HICO makedirs open copy zeros bbox_trans minimum maximum concatenate reshape float64 min astype floor randint max zeros reshape reshape astype float32 zfill shape Augmented_HO_Neg imread DATA_DIR len list concatenate Augmented_box reshape copy Generate_action sample empty range len reshape astype float32 zfill Augmented_HO_spNeg shape imread DATA_DIR len list concatenate Augmented_box reshape Generate_action sample empty range len zeros reshape reshape astype float32 zfill Augmented_HO_Neg_HICO shape imread DATA_DIR list concatenate Augmented_box reshape Generate_action_HICO sample empty range len T print reshape range len minimum maximum minimum maximum concatenate size maximum sum range line Draw text rectangle ceil getsize fromarray int uint8 copy _draw_single_box round array range fromarray uint8 copy _draw_single_box round array enumerate fromarray uint8 copy _draw_single_box round array enumerate add_argument ArgumentParser toc nms astype float32 tic nan Timer append imread im_detect enumerate insert | vt-vl-lab/iCAN | 4,045 |
vthost/DAGNN | ['graph property prediction'] | ['Directed Acyclic Graph Neural Networks'] | dvae/bayesian_optimization/Theano-master/theano/sandbox/gpuarray/nnet.py dvae/bayesian_optimization/Theano-master/theano/compile/function_module.py dvae/bayesian_optimization/Theano-master/theano/sandbox/fourier.py dvae/bayesian_optimization/Theano-master/theano/sandbox/cuda/tests/test_cuda_ndarray.py dvae/bayesian_optimization/Theano-master/theano/misc/safe_asarray.py dvae/bayesian_optimization/Theano-master/theano/tensor/shared_randomstreams.py dvae/bayesian_optimization/Theano-master/theano/updates.py dvae/bayesian_optimization/Theano-master/theano/sandbox/cuda/tests/test_viewop.py dvae/bayesian_optimization/Theano-master/theano/tensor/signal/conv.py ogb/graphproppred/evaluate.py dvae/bayesian_optimization/Theano-master/theano/tensor/nnet/tests/test_opt.py dvae/bayesian_optimization/Theano-master/theano/sandbox/cuda/tests/test_abstractconv.py dvae/bayesian_optimization/Theano-master/theano/misc/check_duplicate_key.py dvae/bayesian_optimization/Theano-master/theano/sparse/sandbox/sp.py dvae/bayesian_optimization/Theano-master/theano/tensor/nnet/tests/test_corr.py dvae/bayesian_optimization/Theano-master/theano/d3viz/tests/models.py dvae/bayesian_optimization/Theano-master/theano/sandbox/cuda/GpuConvGrad3D.py dvae/bayesian_optimization/Theano-master/theano/compile/io.py dvae/bayesian_optimization/Theano-master/doc/hpcs2011_tutorial/pycuda_double_op.py dvae/bayesian_optimization/Theano-master/theano/tensor/tests/test_type_other.py dvae/bayesian_optimization/Theano-master/theano/tensor/nnet/sigm.py dvae/bayesian_optimization/Theano-master/theano/gof/type.py ogbg-code/main_pyg_basic.py dvae/bayesian_optimization/Theano-master/theano/sandbox/cuda/rng_curand.py dvae/bayesian_optimization/Theano-master/benchmark/convolution/opencv.py dvae/bayesian_optimization/Theano-master/theano/sandbox/conv.py dvae/bayesian_optimization/Theano-master/theano/tensor/tests/test_io.py dvae/bayesian_optimization/Theano-master/theano/compile/tests/test_ops.py dvae/bayesian_optimization/Theano-master/theano/sandbox/cuda/tests/test_driver.py dvae/bayesian_optimization/Theano-master/theano/scan_module/scan_op.py dvae/bayesian_optimization/Theano-master/doc/omlw2014/logreg.py dvae/bayesian_optimization/Theano-master/theano/gof/null_type.py dvae/bayesian_optimization/Theano-master/theano/misc/pycuda_utils.py dvae/bayesian_optimization/Theano-master/theano/gof/tests/test_op.py dvae/bayesian_optimization/Theano-master/theano/gof/link.py dvae/bayesian_optimization/Theano-master/theano/sandbox/linalg/__init__.py dvae/bayesian_optimization/Theano-master/theano/misc/pycuda_example.py dvae/bayesian_optimization/Theano-master/theano/tensor/nnet/nnet.py dvae/bayesian_optimization/Theano-master/theano/scan_module/scan_views.py ogbg-code/main_pyg_lp.py dvae/bayesian_optimization/Theano-master/theano/compile/debugmode.py ogbg-code/utils.py dvae/bayesian_optimization/Theano-master/theano/misc/tests/test_pkl_utils.py dvae/bayesian_optimization/Theano-master/theano/compile/nanguardmode.py dvae/bayesian_optimization/Theano-master/theano/tensor/nnet/opt.py dvae/bayesian_optimization/Theano-master/theano/scalar/tests/test_basic.py dvae/bayesian_optimization/Theano-master/doc/extending/extending_theano_solution_1.py dvae/bayesian_optimization/Theano-master/theano/tensor/elemwise.py dvae/bayesian_optimization/bo.py dvae/bayesian_optimization/Theano-master/theano/tensor/__init__.py dvae/bayesian_optimization/Theano-master/benchmark/autoencoder/aa_numpy.py dvae/bayesian_optimization/Theano-master/theano/tensor/tests/test_nlinalg.py dvae/bayesian_optimization/Theano-master/theano/sandbox/tests/test_rng_mrg.py dvae/bayesian_optimization/Theano-master/theano/tensor/basic.py ogbg-code/tg/gated_graph_conv.py dvae/bayesian_optimization/Theano-master/theano/sandbox/gpuarray/tests/test_scan.py dvae/bayesian_optimization/Theano-master/doc/tutorial/loop_solution_1.py dvae/bayesian_optimization/Theano-master/theano/sandbox/cuda/extra_ops.py dvae/bayesian_optimization/Theano-master/theano/scan_module/tests/test_scan.py dvae/bayesian_optimization/Theano-master/theano/tests/main.py dvae/bayesian_optimization/Theano-master/theano/sandbox/gpuarray/tests/test_opt.py dvae/bayesian_optimization/Theano-master/theano/sandbox/cuda/tests/test_gradient.py dvae/bayesian_optimization/Theano-master/theano/tensor/tests/test_fourier.py dvae/bayesian_optimization/Theano-master/theano/sandbox/neighbourhoods.py dvae/bayesian_optimization/Theano-master/theano/tensor/sharedvar.py dvae/bayesian_optimization/Theano-master/theano/compile/function.py dvae/bayesian_optimization/Theano-master/theano/tensor/nnet/tests/speed_test_conv.py dvae/bayesian_optimization/Theano-master/theano/misc/tests/test_may_share_memory.py dvae/bayesian_optimization/Theano-master/theano/tensor/tests/test_misc.py dvae/bayesian_optimization/Theano-master/theano/sandbox/tests/test_neighbourhoods.py dvae/bayesian_optimization/Theano-master/theano/sandbox/gpuarray/tests/test_nerv.py dvae/util.py dvae/bayesian_optimization/Theano-master/theano/sandbox/cuda/var.py dvae/bayesian_optimization/Theano-master/theano/tests/test_2nd_order_grads.py dvae/bayesian_optimization/Theano-master/theano/tensor/nnet/neighbours.py dvae/bayesian_optimization/Theano-master/theano/sandbox/gpuarray/opt.py dvae/bayesian_optimization/Theano-master/theano/misc/gh_api.py dvae/bayesian_optimization/Theano-master/theano/tests/disturb_mem.py dvae/bayesian_optimization/Theano-master/theano/__init__.py dvae/bayesian_optimization/Theano-master/theano/gof/compilelock.py dvae/bayesian_optimization/Theano-master/benchmark/convolution/scipy_conv.py dvae/bayesian_optimization/Theano-master/theano/sandbox/cuda/GpuConvTransp3D.py ogb/linkproppred/__init__.py dvae/bayesian_optimization/Theano-master/theano/sparse/tests/test_sp2.py ogb/lsc/pcqm4m.py dvae/bayesian_optimization/Theano-master/theano/tests/test_gradient.py dvae/bayesian_optimization/Theano-master/theano/sandbox/cuda/tests/test_var.py ogb/nodeproppred/make_master_file.py dvae/bayesian_optimization/Theano-master/theano/compile/tests/test_builders.py dvae/bayesian_optimization/Theano-master/theano/misc/pycuda_init.py dvae/bayesian_optimization/Theano-master/theano/sandbox/cuda/tests/test_basic_ops.py dvae/bayesian_optimization/Theano-master/theano/tensor/tests/test_inc_subtensor.py ogb/__init__.py ogb/graphproppred/dataset.py dvae/bayesian_optimization/Theano-master/theano/tensor/utils.py dvae/bayesian_optimization/Theano-master/theano/sandbox/gpuarray/tests/test_abstractconv.py dvae/bayesian_optimization/Theano-master/theano/tensor/raw_random.py ogb/linkproppred/evaluate.py dvae/bayesian_optimization/Theano-master/theano/sparse/tests/test_opt.py dvae/bayesian_optimization/Theano-master/theano/sandbox/gpuarray/dnn.py dvae/bayesian_optimization/Theano-master/theano/sandbox/cuda/tests/test_neighbours.py dvae/bayesian_optimization/Theano-master/theano/tests/test_pickle_unpickle_theano_fn.py dvae/bayesian_optimization/Theano-master/theano/tensor/tests/test_var.py dvae/bayesian_optimization/summarize.py dvae/bayesian_optimization/Theano-master/theano/gof/__init__.py dvae/bayesian_optimization/Theano-master/theano/scalar/__init__.py dvae/bayesian_optimization/Theano-master/theano/tensor/nnet/abstract_conv.py dvae/bayesian_optimization/Theano-master/theano/sandbox/gpuarray/tests/test_pickle.py ogb/utils/features.py dvae/bayesian_optimization/Theano-master/theano/tensor/tests/test_xlogx.py ogb/nodeproppred/dataset.py dvae/bayesian_optimization/Theano-master/theano/sandbox/cuda/tests/test_gemmcorr3d.py dvae/bayesian_optimization/Theano-master/theano/tensor/fourier.py ogb/io/read_graph_raw.py dvae/bayesian_optimization/Theano-master/theano/scan_module/scan.py dvae/bayesian_optimization/Theano-master/theano/tensor/elemwise_cgen.py dvae/bayesian_optimization/Theano-master/theano/compile/pfunc.py dvae/bayesian_optimization/Theano-master/theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py dvae/bayesian_optimization/Theano-master/doc/scripts/docgen.py dvae/bayesian_optimization/Theano-master/theano/tensor/blas.py dvae/bayesian_optimization/Theano-master/theano/sandbox/cuda/kernel_codegen.py dvae/bayesian_optimization/Theano-master/doc/generate_dtype_tensor_table.py dvae/bayesian_optimization/Theano-master/theano/gof/tests/test_vm.py ogbg-code/tg/dataloader.py dvae/bayesian_optimization/Theano-master/theano/gof/tests/test_sched.py dvae/bayesian_optimization/Theano-master/theano/tensor/tests/test_merge.py dvae/dagnn.py dvae/bayesian_optimization/Theano-master/theano/gof/tests/test_compiledir.py dvae/bayesian_optimization/Theano-master/theano/sandbox/gpuarray/neighbours.py dvae/bayesian_optimization/Theano-master/theano/tests/breakpoint.py dvae/bayesian_optimization/sparse_gp.py dvae/bayesian_optimization/Theano-master/theano/scan_module/scan_utils.py dvae/bayesian_optimization/Theano-master/theano/sandbox/cuda/tests/test_cula.py ogb/io/read_graph_dgl.py dvae/bayesian_optimization/Theano-master/theano/sparse/sandbox/truedot.py dvae/bayesian_optimization/Theano-master/theano/tensor/blas_scipy.py dvae/bayesian_optimization/Theano-master/theano/sandbox/gpuarray/tests/test_neighbours.py dvae/bayesian_optimization/Theano-master/theano/compile/tests/test_pfunc.py dvae/bayesian_optimization/Theano-master/theano/tensor/nnet/bn.py ogb/graphproppred/mol_encoder.py dvae/bayesian_optimization/Theano-master/theano/tensor/tests/test_slinalg.py ogb/linkproppred/dataset_pyg.py dvae/bayesian_optimization/Theano-master/theano/tensor/nnet/tests/test_conv3d2d.py dvae/bayesian_optimization/Theano-master/theano/sandbox/gpuarray/tests/test_elemwise.py ogb/lsc/__init__.py dvae/bayesian_optimization/Theano-master/theano/sandbox/cuda/tests/walltime.py dvae/bayesian_optimization/Theano-master/theano/compat/python2x.py dvae/bayesian_optimization/Theano-master/theano/d3viz/__init__.py dvae/bayesian_optimization/Theano-master/theano/misc/doubleop.py src/constants.py dvae/bayesian_optimization/Theano-master/theano/gof/tests/test_cmodule.py dvae/bayesian_optimization/Theano-master/theano/scan_module/scan_opt.py dvae/bayesian_optimization/Theano-master/theano/sandbox/gpuarray/fp16_help.py ogb/nodeproppred/dataset_dgl.py dvae/bayesian_optimization/Theano-master/theano/tensor/tests/test_mpi.py dvae/bayesian_optimization/Theano-master/theano/scalar/tests/test_basic_sympy.py dvae/bayesian_optimization/Theano-master/theano/sparse/sandbox/test_sp.py dvae/bayesian_optimization/Theano-master/theano/sparse/tests/test_type.py ogb/graphproppred/dataset_dgl.py dvae/bayesian_optimization/Theano-master/theano/tensor/tests/test_extra_ops.py dvae/bayesian_optimization/Theano-master/theano/tensor/nnet/tests/test_sigm.py dvae/bayesian_optimization/Theano-master/theano/compile/tests/test_modes.py ogb/utils/url.py dvae/bayesian_optimization/Theano-master/theano/tensor/extra_ops.py dvae/bayesian_optimization/Theano-master/doc/tutorial/adding_solution_1.py dvae/bayesian_optimization/Theano-master/benchmark/numexpr/gen_graph.py dvae/bayesian_optimization/Theano-master/theano/tensor/nnet/tests/test_abstract_conv.py dvae/bayesian_optimization/Theano-master/theano/tensor/opt.py dvae/bayesian_optimization/Theano-master/theano/gof/tests/test_optdb.py dvae/bayesian_optimization/Theano-master/theano/gof/tests/test_link.py dvae/bayesian_optimization/Theano-master/doc/hpcs2011_tutorial/simple_example.py dvae/bayesian_optimization/Theano-master/theano/tensor/nnet/ConvGrad3D.py dvae/bayesian_optimization/Theano-master/theano/tests/run_tests_in_batch.py dvae/bayesian_optimization/Theano-master/theano/compile/ops.py dvae/bayesian_optimization/Theano-master/theano/tensor/nnet/__init__.py dvae/bayesian_optimization/Theano-master/theano/scan_module/__init__.py dvae/bayesian_optimization/Theano-master/theano/gof/cc.py dvae/models_pyg.py dvae/bayesian_optimization/Theano-master/theano/tensor/signal/tests/test_pool.py dvae/bayesian_optimization/Theano-master/theano/sandbox/cuda/opt.py dvae/bayesian_optimization/Theano-master/theano/tensor/xlogx.py dvae/bayesian_optimization/Theano-master/theano/sandbox/cuda/blocksparse.py ogb/linkproppred/make_master_file.py dvae/bayesian_optimization/Theano-master/theano/misc/check_multi_gpu.py dvae/bayesian_optimization/Theano-master/theano/sandbox/cuda/blas.py dvae/bayesian_optimization/Theano-master/theano/tests/unittest_tools.py dvae/bayesian_optimization/Theano-master/theano/scalar/tests/test_div_future.py dvae/bayesian_optimization/Theano-master/theano/tensor/tests/test_opt.py dvae/bayesian_optimization/Theano-master/theano/gof/tests/test_fg.py dvae/bayesian_optimization/Theano-master/theano/tensor/nnet/tests/test_neighbours.py dvae/bayesian_optimization/Theano-master/theano/typed_list/type.py dvae/bayesian_optimization/Theano-master/theano/compile/tests/test_function_module.py dvae/bayesian_optimization/Theano-master/theano/sandbox/gpuarray/type.py dvae/bayesian_optimization/Theano-master/theano/sandbox/multinomial.py dvae/bayesian_optimization/Theano-master/theano/sandbox/softsign.py dvae/bayesian_optimization/Theano-master/theano/tests/record.py dvae/bayesian_optimization/Theano-master/theano/compile/sharedvalue.py dvae/bayesian_optimization/Theano-master/theano/sandbox/solve.py dvae/bayesian_optimization/Theano-master/theano/scalar/basic_sympy.py ogbg-code/tg/data_parallel.py dvae/bayesian_optimization/Theano-master/theano/compat/six.py dvae/bayesian_optimization/Theano-master/theano/misc/strutil.py dvae/bayesian_optimization/Theano-master/theano/gof/graph.py dvae/bayesian_optimization/Theano-master/theano/gof/tests/test_toolbox.py dvae/bayesian_optimization/Theano-master/theano/compat/__init__.py dvae/bayesian_optimization/Theano-master/theano/misc/cudamat_utils.py dvae/bayesian_optimization/Theano-master/theano/sandbox/gpuarray/subtensor.py dvae/bayesian_optimization/Theano-master/theano/sparse/sharedvar.py dvae/bayesian_optimization/Theano-master/theano/tensor/nnet/Conv3D.py dvae/bayesian_optimization/Theano-master/theano/sparse/basic.py dvae/bayesian_optimization/Theano-master/benchmark/autoencoder/aa.py dvae/bayesian_optimization/Theano-master/theano/sandbox/tests/test_multinomial.py dvae/bayesian_optimization/Theano-master/theano/tensor/io.py dvae/bayesian_optimization/Theano-master/theano/sparse/opt.py dvae/bayesian_optimization/Theano-master/theano/sparse/type.py dvae/bayesian_optimization/Theano-master/benchmark/convolution/conv2d.py ogb/io/__init__.py dvae/bayesian_optimization/Theano-master/theano/sandbox/cuda/nnet.py dvae/bayesian_optimization/Theano-master/theano/tensor/nnet/tests/test_bn.py dvae/bayesian_optimization/Theano-master/theano/misc/check_blas.py dvae/bayesian_optimization/Theano-master/theano/compile/tests/test_shared.py dvae/bayesian_optimization/Theano-master/theano/gof/optdb.py ogb/utils/torch_util.py dvae/bayesian_optimization/Theano-master/theano/sparse/tests/test_basic.py dvae/bayesian_optimization/Theano-master/theano/misc/buildbot_filter.py ogbg-code/model/conv.py dvae/bayesian_optimization/Theano-master/theano/tensor/nnet/blocksparse.py dvae/models.py ogb/graphproppred/dataset_pyg.py dvae/bayesian_optimization/Theano-master/theano/tensor/tests/test_sharedvar.py dvae/bayesian_optimization/Theano-master/theano/sandbox/cuda/basic_ops.py dvae/bayesian_optimization/Theano-master/theano/sparse/tests/test_utils.py dvae/bayesian_optimization/Theano-master/theano/compile/tests/test_misc.py dvae/bayesian_optimization/Theano-master/theano/compile/tests/test_profiling.py dvae/bayesian_optimization/Theano-master/doc/tutorial/profiling_example.py dvae/bayesian_optimization/Theano-master/theano/tensor/tests/test_blas_scipy.py dvae/bayesian_optimization/Theano-master/theano/misc/elemwise_openmp_speedup.py dvae/bayesian_optimization/Theano-master/theano/d3viz/tests/test_formatting.py ogb/io/read_graph_pyg.py dvae/bayesian_optimization/Theano-master/theano/compile/mode.py dvae/bayesian_optimization/Theano-master/theano/gof/utils.py ogbg-code/utils2.py dvae/bayesian_optimization/Theano-master/theano/typed_list/tests/test_basic.py dvae/bayesian_optimization/Theano-master/theano/tensor/tests/_test_mpi_roundtrip.py dvae/bayesian_optimization/Theano-master/theano/tensor/tests/test_basic.py dvae/bayesian_optimization/Theano-master/theano/compile/builders.py dvae/bayesian_optimization/Theano-master/theano/compile/tests/test_function_name.py dvae/bayesian_optimization/Theano-master/theano/misc/tests/test_pycuda_utils.py dvae/bayesian_optimization/Theano-master/theano/misc/elemwise_time_test.py dvae/bayesian_optimization/Theano-master/theano/sandbox/gpuarray/nerv.py dvae/bayesian_optimization/Theano-master/theano/misc/hooks/reindent.py dvae/bayesian_optimization/Theano-master/theano/tensor/nnet/tests/test_nnet.py dvae/bayesian_optimization/Theano-master/theano/sparse/__init__.py dvae/bayesian_optimization/Theano-master/theano/d3viz/tests/test_d3viz.py dvae/bayesian_optimization/Theano-master/theano/tensor/nnet/ConvTransp3D.py dvae/bayesian_optimization/Theano-master/theano/gof/sandbox/equilibrium.py dvae/bayesian_optimization/Theano-master/theano/tensor/tests/test_complex.py dvae/bayesian_optimization/Theano-master/theano/sandbox/gpuarray/elemwise.py dvae/bayesian_optimization/Theano-master/theano/raise_op.py dvae/bayesian_optimization/Theano-master/theano/gof/fg.py dvae/bayesian_optimization/Theano-master/theano/tensor/subtensor.py dvae/bayesian_optimization/Theano-master/theano/sandbox/gpuarray/tests/test_blas.py dvae/bayesian_optimization/Theano-master/theano/sandbox/rng_mrg.py dvae/bayesian_optimization/Theano-master/theano/tests/test_dictionary_output.py dvae/time.py dvae/bayesian_optimization/Theano-master/doc/hpcs2011_tutorial/double_op.py dvae/bayesian_optimization/Theano-master/theano/sandbox/blocksparse.py dvae/bayesian_optimization/Theano-master/theano/typed_list/opt.py dvae/bayesian_optimization/Theano-master/doc/hpcs2011_tutorial/scan_pow.py dvae/bayesian_optimization/Theano-master/theano/sandbox/tests/test_multinomial_wo_replacement.py ogb/io/save_dataset.py dvae/bayesian_optimization/Theano-master/theano/sandbox/cuda/tests/test_dnn.py dvae/bayesian_optimization/Theano-master/theano/configparser.py dvae/bayesian_optimization/Theano-master/theano/tests/test_updates.py dvae/bayesian_optimization/Theano-master/theano/gof/tests/test_graph.py dvae/bayesian_optimization/Theano-master/theano/tensor/nnet/tests/test_conv.py dvae/bayesian_optimization/Theano-master/theano/scan_module/tests/test_scan_utils.py dvae/bayesian_optimization/Theano-master/theano/gof/cmodule.py dvae/bayesian_optimization/Theano-master/theano/sandbox/gpuarray/tests/config.py dvae/bayesian_optimization/Theano-master/theano/sandbox/gpuarray/opt_util.py dvae/bayesian_optimization/Theano-master/theano/gof/tests/test_lazy.py ogb/nodeproppred/__init__.py dvae/bayesian_optimization/Theano-master/theano/gof/tests/test_opt.py dvae/bayesian_optimization/Theano-master/theano/tensor/nnet/corr.py dvae/bayesian_optimization/Theano-master/theano/tensor/inplace.py dvae/bayesian_optimization/Theano-master/theano/tensor/nnet/conv.py dvae/bayesian_optimization/Theano-master/theano/compile/__init__.py dvae/bayesian_optimization/Theano-master/theano/sandbox/gpuarray/basic_ops.py dvae/bayesian_optimization/Theano-master/theano/compile/tests/test_nanguardmode.py dvae/bayesian_optimization/Theano-master/theano/tests/test_config.py dvae/bayesian_optimization/Theano-master/theano/misc/gnumpy_utils.py ogb/graphproppred/__init__.py ogb/nodeproppred/dataset_pyg.py dvae/bayesian_optimization/Theano-master/theano/sandbox/gpuarray/tests/test_type.py dvae/bayesian_optimization/Theano-master/theano/sandbox/cuda/dnn.py dvae/bayesian_optimization/Theano-master/theano/misc/cpucount.py dvae/bayesian_optimization/Theano-master/theano/gof/unify.py dvae/bayesian_optimization/Theano-master/doc/hpcs2011_tutorial/logreg_example.py dvae/train.py dvae/bayesian_optimization/Theano-master/theano/tensor/tests/test_opt_uncanonicalize.py dvae/bayesian_optimization/Theano-master/theano/sandbox/gpuarray/tests/test_subtensor.py dvae/bayesian_optimization/Theano-master/theano/scalar/basic_scipy.py dvae/bayesian_optimization/Theano-master/theano/sandbox/cuda/tests/test_blas.py dvae/bayesian_optimization/Theano-master/theano/sandbox/cuda/tests/test_tensor_op.py dvae/bayesian_optimization/Theano-master/theano/misc/tests/test_pycuda_example.py dvae/bayesian_optimization/Theano-master/theano/sandbox/cuda/elemwise.py dvae/bayesian_optimization/Theano-master/theano/sandbox/gpuarray/kernel_codegen.py dvae/bayesian_optimization/Theano-master/theano/sandbox/linalg/tests/test_linalg.py dvae/bayesian_optimization/Theano-master/theano/tensor/nlinalg.py dvae/bayesian_optimization/Theano-master/theano/sandbox/gpuarray/tests/test_basic_ops.py dvae/bayesian_optimization/Theano-master/theano/compile/monitormode.py ogb/version.py dvae/bayesian_optimization/Theano-master/theano/tensor/nnet/tests/test_blocksparse.py ogbg-code/model/gnn2.py ogbg-code/model/gnn.py dvae/bayesian_optimization/Theano-master/theano/sandbox/gpuarray/comp.py dvae/bayesian_optimization/Theano-master/theano/typed_list/__init__.py dvae/bayesian_optimization/Theano-master/theano/tests/test_rop.py dvae/bayesian_optimization/Theano-master/theano/sandbox/cuda/tests/test_mlp.py dvae/bayesian_optimization/Theano-master/doc/hpcs2011_tutorial/pycuda_simple.py dvae/bayesian_optimization/Theano-master/theano/tensor/tests/test_utils.py dvae/bayesian_optimization/Theano-master/theano/sparse/sandbox/sp2.py dvae/bayesian_optimization/Theano-master/theano/tests/test_ifelse.py dvae/bayesian_optimization/Theano-master/theano/misc/tests/test_gnumpy_utils.py dvae/bayesian_optimization/Theano-master/theano/configdefaults.py dvae/bayesian_optimization/Theano-master/theano/tensor/blas_c.py dvae/bayesian_optimization/Theano-master/theano/tensor/slinalg.py dvae/bayesian_optimization/Theano-master/theano/printing.py dvae/bayesian_optimization/Theano-master/theano/gof/tests/test_utils.py dvae/bayesian_optimization/evaluate_BN.py dvae/bayesian_optimization/Theano-master/theano/gof/tests/test_graph_opt_caching.py dvae/bayesian_optimization/Theano-master/theano/sandbox/cuda/tests/test_memory.py dvae/bayesian_optimization/Theano-master/theano/tensor/signal/downsample.py dvae/bayesian_optimization/Theano-master/theano/tests/__init__.py dvae/bayesian_optimization/Theano-master/theano/gof/tests/test_compute_test_value.py dvae/bayesian_optimization/Theano-master/theano/tensor/tests/test_raw_random.py dvae/bayesian_optimization/Theano-master/theano/sandbox/cuda/tests/test_extra_ops.py ogb/linkproppred/dataset_dgl.py dvae/bayesian_optimization/Theano-master/theano/tensor/signal/pool.py dvae/bayesian_optimization/Theano-master/theano/tensor/tests/test_blas_c.py dvae/bayesian_optimization/Theano-master/theano/tensor/tests/test_blas.py dvae/bayesian_optimization/Theano-master/theano/compile/tests/test_mode.py dvae/bayesian_optimization/Theano-master/theano/tensor/type_other.py dvae/bayesian_optimization/Theano-master/theano/sandbox/cuda/__init__.py dvae/bayesian_optimization/Theano-master/theano/tensor/var.py dvae/bayesian_optimization/Theano-master/theano/gof/opt.py dvae/bayesian_optimization/Theano-master/theano/scalar/basic.py dvae/bayesian_optimization/Theano-master/doc/crei2013/logreg.py dvae/bayesian_optimization/Theano-master/theano/misc/ordered_set.py dvae/bayesian_optimization/Theano-master/theano/tensor/tests/test_shared_randomstreams.py dvae/bayesian_optimization/Theano-master/theano/sandbox/cuda/neighbours.py dvae/bayesian_optimization/Theano-master/theano/gof/vm.py ogbg-code/model/asap.py src/utils_dag.py dvae/bayesian_optimization/Theano-master/theano/misc/hooks/check_whitespace.py dvae/bayesian_optimization/Theano-master/theano/gof/compiledir.py dvae/bayesian_optimization/Theano-master/doc/crei2013/ifelse_switch.py ogb/linkproppred/dataset.py dvae/bayesian_optimization/Theano-master/theano/misc/may_share_memory.py dvae/bayesian_optimization/Theano-master/theano/misc/tests/test_cudamat_utils.py dvae/dagnn_bn.py dvae/bayesian_optimization/Theano-master/doc/tutorial/modes_solution_1.py dvae/bayesian_optimization/Theano-master/doc/tutorial/using_gpu_solution_1.py dvae/bayesian_optimization/Theano-master/theano/misc/windows.py dvae/bayesian_optimization/Theano-master/theano/tensor/tests/test_elemwise.py dvae/bayesian_optimization/Theano-master/theano/tests/test_flake8.py ogb/graphproppred/make_master_file.py dvae/bayesian_optimization/Theano-master/theano/gof/lazylinker_c.py dvae/bayesian_optimization/Theano-master/theano/tests/test_determinism.py dvae/bayesian_optimization/Theano-master/doc/hpcs2011_tutorial/scan_poly.py dvae/bayesian_optimization/Theano-master/theano/tests/test_printing.py dvae/bayesian_optimization/Theano-master/theano/gof/tests/test_types.py ogbg-code/model/baselines.py dvae/bayesian_optimization/Theano-master/theano/scalar/sharedvar.py dvae/bayesian_optimization/Theano-master/theano/tensor/nnet/conv3d2d.py dvae/bayesian_optimization/Theano-master/theano/tensor/tests/test_subtensor.py dvae/bayesian_optimization/Theano-master/theano/scalar/tests/test_div_no_future.py dvae/bayesian_optimization/Theano-master/theano/sandbox/gpuarray/blas.py dvae/bayesian_optimization/Theano-master/theano/tensor/tests/mlp_test.py dvae/bayesian_optimization/Theano-master/doc/conf.py ogbg-code/main_pyg.py dvae/bayesian_optimization/Theano-master/theano/tensor/blas_headers.py dvae/bayesian_optimization/Theano-master/theano/sandbox/cuda/tests/test_blocksparse.py dvae/bayesian_optimization/Theano-master/theano/typed_list/basic.py dvae/bayesian_optimization/Theano-master/theano/sandbox/cuda/tests/test_rng_curand.py dvae/bayesian_optimization/Theano-master/doc/crei2013/scan_pow.py dvae/bayesian_optimization/Theano-master/theano/d3viz/d3viz.py dvae/bayesian_optimization/Theano-master/theano/misc/tests/test_pycuda_theano_simple.py dvae/bayesian_optimization/Theano-master/theano/misc/latence_gpu_transfert.py dvae/bayesian_optimization/Theano-master/theano/tensor/opt_uncanonicalize.py dvae/bayesian_optimization/Theano-master/theano/gof/destroyhandler.py dvae/bayesian_optimization/Theano-master/theano/gof/cutils.py dvae/bayesian_optimization/Theano-master/theano/gof/tests/test_destroyhandler.py dvae/bayesian_optimization/Theano-master/theano/gradient.py dvae/bayesian_optimization/Theano-master/theano/gof/tests/test_cc.py dvae/bayesian_optimization/Theano-master/theano/sandbox/cuda/tests/test_type.py dvae/bayesian_optimization/Theano-master/theano/tensor/sort.py dvae/bayesian_optimization/Theano-master/theano/sandbox/cuda/tests/test_fftconv.py dvae/bayesian_optimization/Theano-master/theano/sandbox/gpuarray/__init__.py dvae/bayesian_optimization/Theano-master/theano/gof/callcache.py dvae/bayesian_optimization/Theano-master/benchmark/regression/regression.py dvae/bayesian_optimization/Theano-master/theano/sandbox/cuda/tests/test_bench_loopfusion.py ogb/utils/mol.py dvae/bayesian_optimization/Theano-master/theano/tensor/tests/test_casting.py ogb/utils/__init__.py dvae/batch.py dvae/bayesian_optimization/Theano-master/theano/ifelse.py dvae/bayesian_optimization/Theano-master/theano/scan_module/tests/test_scan_opt.py dvae/bayesian_optimization/Theano-master/theano/sandbox/cuda/opt_util.py dvae/bayesian_optimization/Theano-master/theano/gof/sched.py dvae/bayesian_optimization/Theano-master/theano/tensor/nnet/tests/test_conv3d.py dvae/bayesian_optimization/Theano-master/theano/tensor/type.py dvae/bayesian_optimization/Theano-master/theano/sandbox/cuda/cula.py dvae/bayesian_optimization/Theano-master/theano/sandbox/cuda/GpuConv3D.py dvae/bayesian_optimization/Theano-master/theano/tests/test_record.py dvae/bayesian_optimization/gauss.py dvae/bayesian_optimization/Theano-master/theano/sandbox/minimal.py dvae/bayesian_optimization/Theano-master/theano/sandbox/cuda/tests/test_opt.py dvae/bayesian_optimization/Theano-master/theano/d3viz/formatting.py dvae/bayesian_optimization/Theano-master/doc/crei2013/scan_poly.py dvae/bayesian_optimization/Theano-master/theano/compile/tests/test_function.py dvae/bayesian_optimization/Theano-master/theano/tensor/tests/test_keepdims.py ogbg-code/model/dagnn.py dvae/bayesian_optimization/Theano-master/theano/sandbox/cuda/type.py dvae/bayesian_optimization/Theano-master/theano/compile/tests/test_monitormode.py dvae/bayesian_optimization/Theano-master/theano/sandbox/cuda/tests/test_nnet.py dvae/bayesian_optimization/Theano-master/theano/sandbox/gpuarray/tests/test_dnn.py ogb/nodeproppred/evaluate.py dvae/bayesian_optimization/Theano-master/theano/compile/profiling.py dvae/bayesian_optimization/Theano-master/theano/compile/profilemode.py dvae/bayesian_optimization/Theano-master/theano/sandbox/neighbours.py dvae/bayesian_optimization/Theano-master/theano/gof/toolbox.py dvae/bayesian_optimization/Theano-master/theano/compile/tests/test_debugmode.py dvae/bayesian_optimization/Theano-master/theano/sandbox/gpuarray/tests/test_nnet.py dvae/bayesian_optimization/Theano-master/theano/typed_list/tests/test_opt.py dvae/bayesian_optimization/Theano-master/theano/sparse/utils.py dvae/bayesian_optimization/Theano-master/theano/misc/pkl_utils.py dvae/bayesian_optimization/Theano-master/theano/tests/test_breakpoint.py dvae/bayesian_optimization/sparse_gp_theano_internal.py dvae/bayesian_optimization/Theano-master/theano/sandbox/linalg/ops.py dvae/bayesian_optimization/Theano-master/theano/version.py dvae/bayesian_optimization/Theano-master/theano/typed_list/tests/test_type.py dvae/bayesian_optimization/Theano-master/theano/sandbox/cuda/nvcc_compiler.py dvae/bayesian_optimization/Theano-master/theano/sandbox/cuda/fftconv.py dvae/bayesian_optimization/Theano-master/theano/tensor/tests/test_gc.py dvae/bayesian_optimization/Theano-master/theano/tensor/tests/test_sort.py dvae/bayesian_optimization/Theano-master/theano/scan_module/scan_perform_ext.py dvae/bayesian_optimization/Theano-master/theano/gof/op.py dvae/bayesian_optimization/Theano-master/setup.py dvae/bayesian_optimization/Theano-master/theano/tests/diverse_tests.py dvae/bayesian_optimization/Theano-master/theano/tensor/signal/tests/test_conv.py Batch GatedSumConv SelfAttnConv AggConv DAGNN AttnConv GatedSumConv SelfAttnConv AggConv DAGNN_BN AttnConv DVAE_BN SVAE_GraphRNN_BFS SVAE_GraphRNN SVAE DVAE SVAE_oneshot DVAE_fast DVAE_GCN DVAE_DeepGMG DVAE_PYG DVAE_BN_PYG read_dvae_times read_ogbg_times train save_latent_representations extract_latent test decode_ENAS_to_igraph is_same_DAG load_module_state load_ENAS_graphs decode_ENAS_to_pygraph load_object save_object decode_BN_to_pygraph decode_igraph_to_BN_adj combine_figs_horizontally draw_BN draw_network one_hot flat_ENAS_to_nested decode_from_latent_space plot_DAG adjstr_to_BN ratio_same_DAG decode_BN_to_tensor add_node custom_DataParallel is_valid_DAG decode_BN_to_igraph is_valid_BN is_valid_ENAS load_BN_graphs decode_igraph_to_ENAS decode_ENAS_to_tensor Eval_BN casting compute_psi2 compute_kernel compute_psi2_numpy compute_psi1_numpy compute_kernel_numpy compute_psi1 casting adam_theano SparseGP global_optimization Sparse_GP LogSumExp n_pdf log_n_cdf_approx log_n_cdf n_cdf log_n_pdf ratio get_highest_over_time write_text do_setup write_version_py git_version find_packages Opt print_graph_linker M timeit_2vector_theano timeit_2vector exec_timeit_2vector execs_timeit_2vector test_module_advanced_example SpecifiedRegressionLayer PrintEverythingMode RegressionLayer inner_fct SumDiffOp TestProdOp numpy_sub TestSumDiffOp infer_shape_numpy_add_sub ProdOp infer_shape_numpy_dot numpy_add DoubleOp PyCUDADoubleOp inner_fct call_sphinx mkdir inner_fct filter_vm_lazy is_valid_check_preallocated_output_param default_compiledir default_cuda_root get_home_dir safe_no_dnn_workmem filter_nvcc_flags warn_default short_platform good_seed_param _timeout_default default_blas_ldflags filter_compiledir default_compiledirname DeviceParam safe_no_home filter_base_compiledir try_blas_flag local_bitwidth safe_no_dnn_workmem_bwd safe_no_dnn_algo_bwd ContextsParam default_dnn_path python_int_bitwidth floatX_convert TheanoConfigParser EnumStr change_flags IntParam FloatParam fetch_val_for_key ConfigParam _config_print parse_config_string TypedParam BoolParam StrParam TheanoConfigWarning get_config_md5 AddConfigVar config_files_from_theanorc _populate_grad_dict DisconnectedGrad format_as zero_grad subgraph_grad jacobian grad_not_implemented grad_undefined ConsiderConstant DisconnectedType grad_clip disconnected_grad GradClip _node_to_pattern _is_zero grad consider_constant _populate_var_to_app_to_idx DisconnectedInputError verify_grad hessian numeric_grad Rop Lop _float_zeros_like ZeroGrad NullTypeGradError GradientError _float_ones_like cond_remove_identical ifelse_lift_single_if_through_acceptable_ops cond_merge_random_op ifelse IfElse cond_merge_ifs_true cond_make_inplace cond_merge_ifs_false CondMerge MemberPrinter LeafPrinter debugprint DefaultPrinter min_informative_str var_descriptor position_independent_str OperatorPrinter hex_digest pydotprint_variables PatternPrinter pydotprint _print_fn PrinterState _TagGenerator IgnorePrinter FunctionPrinter PPrinter Print Raise OrderedUpdates dot sparse_grad get_scalar_constant_value OrderedDict Counter _SixMetaPathImporter remove_move u Module_six_moves_urllib_parse python_2_unicode_compatible add_move assertRaisesRegex Module_six_moves_urllib_request print_ iteritems assertCountEqual MovedAttribute assertRegex _LazyDescr _MovedItems get_unbound_function MovedModule Module_six_moves_urllib iterlists wraps with_metaclass Module_six_moves_urllib_error itervalues _add_doc b _LazyModule Module_six_moves_urllib_response int2byte add_metaclass iterkeys Module_six_moves_urllib_robotparser reraise _import_module decode exc_message decode_with DefaultOrderedDict get_unbound_function cmp decode_iter OpFromGraph _VariableEquivalenceTracker DataDestroyed _check_inputs _find_bad_optimizations1 _check_viewmap _Maker _is_used_in_graph check_eq debugprint _optcheck_fgraph _pickle_DebugMode_Maker NoDuplicateOptWarningFilter _get_preallocated_maps _DummyLinker _lessbroken_deepcopy DebugModeError _check_strides_match BadOptimization _FunctionGraphEvent BadDestroyMap _find_bad_optimizations2 _check_preallocated_output _Linker InvalidValueError BadThunkOutput _find_bad_optimizations0 BadViewMap char_from_number StochasticOrder DebugMode function_dump function fgraph_updated_vars _pickle_FunctionMaker view_tree_set _constructor_FunctionMaker _pickle_Function orig_function AliasedMemoryError Supervisor register_checker alias_root Function infer_reuse_pattern std_fgraph convert_function_input get_info_on_inputs _constructor_Function insert_deepcopy check_equal UnusedInputError FunctionMaker In SymbolicInput SymbolicInputKit SymbolicOutput Mode PrintCurrentFunctionGraph register_mode register_linker check_equal get_mode AddDestroyHandler AddFeatureOptimizer get_default_mode register_optimizer MonitorMode detect_nan compile_gpu_func flatten contains_inf contains_nan NanGuardMode register_deep_copy_op_c_code Rebroadcast register_shape_i_c_code register_rebroadcast_c_code OutputGuard DeepCopyOp register_view_op_c_code ViewOp shape_i load_back FromFunctionOp Shape SpecifyShape Shape_i as_op register_specify_shape_c_code register_shape_c_code pfunc _pfunc_param_to_in iter_over_pairs rebuild_collect_shared Param ProfileMode register_profiler_printer atexit_print_default_profile_mode Profile_Maker ProfileStats _atexit_print_fn ScanProfileStats shared_constructor shared SharedVariable generic_constructor T_OpFromGraph Test_ViewMap test_stochasticoptimization VecAsRowAndCol test_badthunkoutput Test_preallocated_output test_baddestroymap_c test_just_c_code BROKEN_ON_PURPOSE_Add test_baddestroymap Test_check_isfinite test_badoptimization BrokenCImplementationAdd test0 test_badoptimization_opt_err WeirdBrokenOp TestFunctionIn test_function_dump SomethingToPickle test_empty_givens_updates T_function checkfor T_picklefunction PatternOptimizer FunctionName NNet TestNnet test_including test_no_output_from_implace T_bunch_of_modes T_ProfileMode_WrapLinker test_detect_nan test_not_inplace test_optimizer test_NanGuardMode OpDecoratorTests mul test_shape_i_hash Test_aliasing_rules Test_rebuild_strict Test_pfunc data_of Test_profiling Test_SharedVariable d3viz replace_patterns d3write escape_quotes var_tag type_to_str dict_to_pdnode apply_profile apply_label dtype_to_char PyDotFormatter broadcastable_to_str var_label Mlp Ofg OfgNested TestD3Viz TestPyDotFormatter CallCache get_nothing CLinker code_gen DualLinker failure_code get_c_extract_out CodeBlock HideC apply_policy struct_variable_codeblocks get_c_extract failure_code_init get_persistent_module_cache get_c_declare OpWiseCLinker get_c_sync struct_gen get_module_cache get_c_init _CThunk get_c_cleanup _default_checker get_module_hash ExtFunction get_lib_extension get_safe_part gcc_version debug_counter std_lib_dirs DynamicModule gcc_llvm last_access_time ModuleCache dlimport _rmtree Compiler icc_module_compile_str std_lib_dirs_and_libs is_same_entry std_include_dirs module_name_from_dir dlimport_workdir get_module_cache KeyData GCC_compiler MissingGXX get_gcc_shared_library_arg std_libs basecompiledir_ls compiledir_purge cleanup basecompiledir_purge print_compiledir_content release_lock _get_lock lock lock_ctx refresh_lock set_lock_status Unlocker force_unlock compile_cutils compile_cutils_code ProtocolError DestroyHandler _build_droot_impact _contains_cycle fast_inplace_check MissingInputError FunctionGraph InconsistencyError CachedConstantError Constant io_toposort variables_and_orphans Apply variables general_toposort default_node_formatter view_roots orphans stack_search io_connection_pattern ops inputs is_same_graph list_of_nodes Node clone_get_equiv op_as_string ancestors Variable clone as_string try_reload try_import log_thunk_trace map_storage streamline gc_helper thunk_hook LocalLinker PerformLinker Container WrapLinker raise_with_op Linker add_clear_storage WrapLinkerMany NullType PureOp Op missing_test_message COp get_test_value debug_error_message get_debug_values simple_meth OpenMPOp apply_meth debug_assert CLinkerObject CLinkerOp FromFunctionOptimizer pre_greedy_local_optimizer LocalMetaOptimizer OpRemove NavigatorOptimizer _check_chain MergeFeature local_optimizer EquilibriumOptimizer ChangeTracker OpKeyOptimizer is_same_graph_with_merge LocalOptimizer OpSub MergeOptimizer check_chain PatternSub LocalOptGroup TopoOptimizer merge_dict _list_of_nodes FromFunctionLocalOptimizer SeqOptimizer optimizer Optimizer pre_constant_merge Updater inplace_optimizer _metadict Query EquilibriumDB DB ProxyDB SequenceDB LocalGroupDB make_dependence_cmp _toposort memodict posort reverse_dict key_to_cmp make_depends sort_schedule_fn sort_apply_nodes PrintListener GetCheckpoint PreserveVariableAttributes LambdExtract ReplaceValidate NodeFinder AlreadyThere Validator NoOutputFromInplace PreserveNames ReplacementDidntRemovedError History Bookkeeper Feature CLinkerType CDataTypeConstant CDataType Generic PureType Type SingletonType FreeVariable VariableInList OrVariable FVar Variable var_lookup unify_build unify unify_merge BoundVariable unify_walk Unification NotVariable hash_from_code flatten uniq MethodNotDefined Keyword scratchpad simple_extract_stack from_return_values toposort D unique hash_from_dict hash_from_file remove add_tag_trace hashtype difference give_variables_names hist comm_guard deprecated object2 type_guard to_return_values memoize LoopGC Stack VM Loop VM_Linker CVM calculate_reallocate_info _EquilibriumOptimizer MyOp test_clinker_literal_inlining MyExc test_c_fail_error test_clinker_dups test_clinker_single_node test_duallinker_straightforward test_opwiseclinker_straightforward Add Env TDouble test_shared_input_output double test_clinker_dups_inner test_clinker_literal_cache Binary AddFail inputs test_opwiseclinker_constant test_duallinker_mismatch BadSub Div as_variable test_clinker_not_used_inputs Mul test_clinker_straightforward _my_checker test_flag_detection test_inter_process_cache MyOp test_short_platform TestComputeTestValue IncOneC MyOp test_repair_destroy_path test_misc test_aliased_inputs_tolerate test_indestructible_through_views MyConstant test_indestructible test_long_destroyers_loop test_aliased_inputs2 test_same_aliased_inputs_ignored test_multi_destroyers_through_views test_usage_loop MyVariable Env consistent inconsistent test_indirect_2 test_value_repl_2 OpSubOptimizer test_usage_loop_insert_views test_different_aliased_inputs_ignored test_aliased_inputs_tolerate2 inputs test_indirect test_usage_loop_through_views_2 PatternOptimizer test_usage_loop_through_views test_aliased_inputs_replacement test_aliased_inputs FailureWatch test_misc_2 as_variable test_destroyers_loop test_value_repl MyType test_multi_destroyers TFunctionGraph TestClone MyOp MyVariable TestAutoName as_variable TestToposort TestEval MyType TestIsSameGraph TestStr prenode X TestInputs test_graph_opt_caching IfElseIfElseIf more_complex_test NotImplementedOp test_ifelse test_sort_schedule_fn perform_linker MyOp test_container_deepcopy TDouble as_variable inputs TestPerformLinker TestWrapLinker wrap_linker FunctionGraph double notimpl test_test_value_op test_get_det_debug_values_ignore StructOp MyOp test_test_value_ndarray test_get_debug_values_success TestOp as_variable test_test_value_python_objects test_get_debug_values_no_debugger test_get_debug_values_exc MyType NoInputOp TestMakeThunk test_test_value_constant test_test_value_shared test_debug_error_message TestPatternOptimizer test_pre_constant_merge_slice TopoPatternOptimizer MyOp MyVariable TestEquilibrium as_variable inputs TestOpSubOptimizer TestMergeOptimizer MyType NoInputOp PatternOptimizer OpSubOptimizer Test_DB test_sort_apply_nodes test_posort_easy test_posort test__toposort test_dependence test_reverse_dict TestNodeFinder MyOp MyVariable as_variable inputs MyType test_cdata GetOp ProdOp test_stack_trace test_remove test_hash_from_dict test_give_variables_names_idempotence test_give_variables_names test_give_variables_names_small test_no_leak_many_call_lazy test_c_thunks test_allow_gc_cvm test_speed test_no_leak_many_graphs test_leak2 TestCallbacks test_vm_gc test_speed_lazy RunOnce test_no_leak_many_call_nonlazy test_reallocation filter_output execute test jobman_job main cpuCount cudamat_to_cudandarray cudandarray_to_cudamat DoubleOp runScript ElemwiseOpTime evalTime get_auth_token get_pulls_list make_auth_header post_issue_comment post_gist get_pull_request cudandarray_to_garray garray_to_cudandarray may_share_memory _is_cuda _is_sparse _is_gpua OrderedSet check_deterministic Link load zipadd dump PersistentNdarrayID PersistentSharedVariableID load_reduce PersistentNdarrayLoad CompatUnpickler PersistentCudaNdarrayID StripPickler PycudaElemwiseSourceModuleMakeThunkOp theano_parse_c_arg _replace_npy_types PycudaElemwiseSourceModuleOp local_pycuda_gpu_elemwise set_gpu_from_theano to_gpuarray to_cudandarray _asarray strip_leading_white_space render_string pretty_format subprocess_Popen output_subprocess_Popen call_subprocess_Popen is_python_file is_merge get_correct_indentation_diff get_file_contents clean_diff_line_for_python_bug_2142 parse_stdout_filelist save_commit_message changed_files save_skip_next_commit should_skip_commit main added_files get_parse_error save_diffs MercurialRuntimeError run_mercurial_command parent_commit check errprint usage main getlspace Reindenter _rstrip test test_broadcast_dims test2 test test_may_share_memory test_may_share_memory_scipy TestStripPickler T_dump_load test_pycuda_elemwise_source_module test_pycuda_memory_to_theano test_pycuda_theano test_pycuda_only test_to_cudandarray test_to_gpuarray dct_matrix GradTodo FFT Minimal T_minimal MultinomialWOReplacementFromUniform GpuMultinomialFromUniform MultinomialFromUniform local_gpu_multinomial ImagesFromNeighbourhoods NeighbourhoodsFromImages GPUA_mrg_uniform mrg_uniform GPU_mrg_uniform matVecModM mrg_random_make_inplace ff_2p134 mrg_next_value multMatVect ff_2p72 guess_n_streams mrg_uniform_base DotModulo local_gpua_mrg MRG_RandomStreams ScalarSoftsign Solve T_solve HostFromGpu GpuIncSubtensor GpuAlloc GpuFromHost GpuAdvancedSubtensor1 as_cuda_array GpuFlatten tensor3 GpuContiguous GpuJoin as_cuda_ndarray_variable tensor4 GpuAllocEmpty GpuShape GpuEye GpuReshape profile_printer GpuDimShuffle GpuCAReduce gpu_flatten GpuAdvancedIncSubtensor1 GpuSubtensor GpuAdvancedIncSubtensor1_dev20 matrix vector GpuElemwise row GpuSplit col CopyOnNegativeStrides scalar GpuDownsampleFactorMaxGradGrad GpuGemv GpuCorrMM_gradInputs GpuCorrMM GpuCorr3dMM_gradWeights GpuCorr3dMM_gradInputs GpuDownsampleFactorMaxGrad GpuGemm GpuCorrMM_gradWeights GpuDownsampleFactorMax GpuConv GpuBatchedDot BaseGpuCorrMM GpuGer GpuDot22Scalar GpuDot22 GpuCorr3dMM BaseGpuCorr3dMM GpuSparseBlockGemv GpuSparseBlockOuter GpuSolve dnn_gradweight GpuDnnConvGradI GpuDnnPoolGrad local_dnn_conv_inplace GpuDnnConv3d GpuDnnPoolDesc GpuDnnConv3dGradI DnnBase local_pool_dnn dnn_conv dnn_pool GpuDnnConv3dGradW c_set_tensor4d local_avgpool_dnn_grad_stride local_dnn_conv_output_merge local_dnn_convw_alpha_merge ensure_float local_dnn_convw_output_merge local_softmax_dnn_grad GpuDnnConv GpuDnnSoftmaxGrad local_conv_dnn_alternative local_softmax_dnn dnn_gradinput GpuDnnSoftmaxBase local_dnn_convgw_inplace local_dnn_convi_output_merge local_conv_dnn local_dnn_conv_alpha_merge GpuDnnConvGradW dnn_conv3d local_pool_dnn_grad GpuDnnPool NoCuDNNRaise GpuDnnConvDesc local_dnn_convgi_inplace local_abstractconv_cudnn local_dnn_convi_alpha_merge local_pool_dnn_grad_stride local_pool_dnn_alternative local_log_softmax_dnn GpuDnnSoftmax ErfinvGPU ErfcxGPU get_str_list_logical_scalar _logical_scalar NaiveAlgo SupportCodeError use_gpu_cumsum GpuCumsum values_eq_approx_high_tol CuIFFTOp sc_complex_dot_batched bptrs BatchedComplexDotOp CuFFTOp to_complex_gpuarray conv2d_fft ScikitsCudaOp mult_and_reduce conv3d_fft GpuConv3D local_gpu_conv3d GpuConvGrad3D local_gpu_conv_grad3d computeR GpuConvTransp3D local_gpu_conv_transp3d inline_reduce nvcc_kernel inline_reduce_sum inline_reduce_max inline_reduce_prod code_version inline_reduce_fixed_shared_max inline_reduce_fixed_shared inline_softmax inline_reduce_min inline_softmax_fixed_shared GpuImages2Neibs use_gpu_images2neibs gpu_images2neibs GpuSoftmaxWithBias GpuCrossentropySoftmaxArgmax1HotWithBias GpuSoftmax GpuCrossentropySoftmax1HotWithBiasDx NVCC_compiler is_nvcc_available add_standard_rpath local_gpu_lazy_ifelse safe_to_cpu ConvMetaOptimizer local_gpu_reshape local_gpu_elemwise_careduce local_gpu_careduce local_gpu_subtensor local_gpu_advanced_incsubtensor1 cast local_gpu_dot_to_dot22 local_gpujoin_1 local_assert_no_cpu_op local_gpu_gemv tensor_to_cuda local_gpu_conv local_abstractconv_gemm local_conv3d_fft local_convgrad3d_gemm typeInfer local_conv_fft_valid local_gpu_eye local_gpu_dot22scalar local_convgrad3d_fft local_inplace_ger _clear_host_from_gpu local_gpu_ger gpu_sparse_block_gemv_opt local_abstractconv_gradweight_gemm local_inplace_gpu_sparse_block_outer local_gpu_alloc_empty_to_zeros local_abstractconv_gradinputs_gemm local_inplace_gpu_sparse_block_gemv gpu_print_wrapper local_gpu_crossentorpy_softmax_argmax_1hot_with_bias local_gpu_shape local_gpu_pdbbreakpoint_op local_gpu_downsample_factor_max local_gpu_flatten gpu_reconstruct_graph values_eq_approx_high_tol local_conv_gemm local_gpu_allocempty local_conv3d_gemm local_gpu_rebroadcast local_gpu_downsample_factor_max_grad_grad local_gpualloc_memset_0 local_inplace_gemv safe_to_gpu local_conv_fft_full local_gpu_softmax_with_bias _owner_isinstance gpu_sparse_block_outer_opt local_gpu_elemwise_1 local_gpualloc local_inplace_gemm get_device_type_sizes InputToGpuOptimizer local_gpu_softmax local_conv2d_gpu_conv dtype_in_elemwise_supported split_huge_add_or_mul local_gpu_advanced_subtensor1 local_gpu_split local_gpu_contiguous_gpu_contiguous local_gpu_batched_dot local_gpu_print_op local_gpu_solve gpuScanOptimization typeConstructor local_gpu_dimshuffle_0 local_gpu_join gpu_safe_new local_gpu_downsample_factor_max_grad local_gpu_specifyShape_0 local_gpu_dot22 local_gpu_extract_diagonal local_gpu_elemwise_0 local_convtransp3d_gemm local_gpu_incsubtensor _gpu_conv_to_fftconv local_convtransp3d_fft local_assert local_cut_gpu_host_gpu local_gpu_gemm local_gpu_crossentorpy_softmax_1hot_with_bias_dx max_inputs_to_GpuElemwise LocalCudaMetaOptimizer find_node alpha_merge is_equal grab_cpu_scalar output_merge local_destructive CURAND_Base CURAND_Uniform CURAND_RandomStreams CURAND_Normal CudaNdarray_pickler CudaNdarrayType CudaNdarray_unpickler float32_shared_constructor CudaNdarraySharedVariable cuda_shared_constructor CudaNdarrayVariable _operators CudaNdarrayConstantSignature CudaNdarrayConstant use register_opt dnn_version GpuOp ok unuse dnn_available DnnVersion set_cuda_disabled transfer handle_shared_float32 try_import TestDnnConv2d TestDnnConvTypes TestCorrMMConv2d test_gpueye test_elemwise_empty test_elemwise_composite_support_code test_gpujoin_gpualloc test_gpujoin_no_rebroadcast test_elemwise_comparaison_cast test_reshape rand_cuda_ndarray test_elemwise1 test_gpualloc_output_to_gpu speed_reduce10 test_elemwise_collapse3 test_size test_shared_float32 test_elemwise_composite_float64 speed_adv_sub1 test_elemwise_collapse6 test_elemwise_collapse5 test_duplicate_arg_elemwise test_shared_cudandarray test_flatten test_elemwise2 T_Join_and_Split test_elemwise_collapse7 test_advset_subtensor1 test_elemwise_collapse test_gpujoin_assert_cndas test_advset_subtensor1_2d test_elemwise4 test_hostfromgpu_shape_i speed_elemwise_collapse2 test_elemwise_collapse4 test_inc_subtensor test_advinc_subtensor1 test_careduce speed_elemwise_collapse tes_use tensor_pattern_to_gpu_pattern test_elemwise_bad_broadcast test_set_subtensor TestAlloc T_subtensor test_alloc_empty test_elemwise_collapse2 test_many_arg_elemwise test_elemwise0 test_gpualloc_input_on_gpu test_elemwise3 Kouh2008 test_bench_elemwise Config _shared_uniform TestVectorMatrixDot TestGpuGemvNoTransfer TestGpuGer_OpContract my_rand TestGpuGerNoTransfer test_dot22 test_dot22scalar test_gemm_no_inplace TestGpuGer TestBlasStridesGpu TestGpuGemv test_maxpool TestBatchedDot test_gemm test_downsample BlockSparse_Gemv_and_Outer dnn_op py_conv_pad_img get_basic_shapes _params_allgood_header test_valid py_conv_scipy benchmark TestConv2DGPU conv_grad exec_conv test_stack_rows_segfault_070312 test_gemm_valid test_gemm_full test_subsample test_dnn_subsample test_gemm_subsample test_gemm_directly get_shapes py_conv test_dnn_full TestConvWithPadding gemm_op test_dnn_valid_err get_valid_shapes get_shapes2 test_conv_grads py_conv_full_numpy test_full test_default_conv _params_allgood gemm_directly _test_subsample test_dnn_valid _test_full py_conv_valid_numpy _test_valid test_subtensor_broadcastable test_set_strides test_DimShuffle test_setitem_matrix_bad_shape test_mapping_getitem_reverse_some_dims test_setitem_matrix_bad_ndim test_mapping_getitem_w_int test_mapping_getitem_ellipsis test_setitem_broadcast test_stride_manipulation test_exp test_setitem_matrix_bad_type test_base test_dot test_getshape test_copy test_setitem_matrixscalar0 test_nvcc_bug test_copy_subtensor0 test_setitem_assign_to_slice test_gemm_vector_vector test_zeros_basic advantage test_setitem_rightvalue_ndarray_fails test_setitem_broadcast_numpy test_sum test_host_to_device test_add_iadd_idiv test_setitem_matrix_tensor3 test_is_c_contiguous test_setitem_from_numpy_error test_reshape test_setitem_matrixvector1 TestCula test_conv3d_bwd test_dnn_conv_alpha_output_merge test_DnnSoftMax test_dnn_conv_merge_broad test_dnn_conv_merge test_pooling test_dnn_tag test_dnn_conv_grad test_dnn_conv_inplace pool3d2d test_pooling_with_tensor_vars test_pooling_opt test_old_pool_interface test_dnn_conv_merge_mouts get_conv3d_test_cases test_dnn_conv_desc_merge pool_2d_i2n test_dnn_conv_border_mode test_pooling3d test_conv3d_fwd test_dnn_conv3d_alpha_output_merge test_version TestDnnInferShapes test_nvidia_driver1 test_nvidia_driver2 test_nvidia_driver3 test_nvcc_cast TestGpuCumsum TestConv2dFFT TestConv3dFFT TestCorr3DMM TestGradient test_memory_lazy test_memory freemem run_conv_nnet2_classif test_conv_nnet1 print_mode test_lenet_64 test_run_nnet run_conv_nnet1 test_lenet_32_long my_rand test_run_nnet_med test_lenet_28 test_lenet_108 run_conv_nnet2 test_conv_nnet2 cmp_run_conv_nnet2_classif build_conv_nnet2_classif test_lenet_32 print_diff_mode test_lenet_256 my_zeros test_run_nnet_small get_mode run_nnet tes_lenet_hd tes_lenet_full_hd my_randn T_GpuImages2Neibs test_SoftMax test_softmax_with_bias test_GpuCrossentropySoftmax1HotWithBiasDx test_GpuCrossentropySoftmaxArgmax1HotWithBias test_local_gpu_solve test_local_gpu_split test_pdbbreakpoint_op test_softmax test_local_gpu_subtensor test_local_assert Test_local_elemwise_alloc test_opt_gpujoin_onlyajoin Test_GpuReshape test_alloc_memset_0 test_incsubtensor_mixed test_diag test_local_abstractconv_gemm test_elemwise_fusion test_print_op test_huge_elemwise_fusion test_softmax_with_bias TestIfElse test_blocksparse_gpu_gemv_opt test_blocksparse_gpu_outer_opt test_gpuspecifyshape test_local_gpu_contiguous_gpu_contiguous test_no_shared_var_graph test_local_remove_all_assert test_local_gpu_elemwise_0 test_opt_gpujoin_joinvectors_elemwise_then_minusone test_local_assert_no_cpu_op test_erfinvgpu test_gpuallocempty test_local_gpu_elemwise_careduce test_local_gpu_dot_to_dot22dot test_gpualloc test_int_pow test_opt_gpujoin_joinvectors_negativeaxes compare_speed check_normal_basic test_uniform_basic check_uniform_basic test_normal_basic test_softmax_optimizations test_conv3d test_deepcopy test_shape test_shape_i test_get_diagonal_subtensor_view test_may_share_memory_cuda test_unpickle_flag_is_false_by_default test_unpickle_cudandarray_as_numpy_ndarray_flag0 test_unpickle_cudandarray_as_numpy_ndarray_flag1 test_givens T_updates test_float32_shared_constructor test_viewop_gpu cmp_sigmoids showtimes compare_fns cmp_sigmoids_T Kernel GpuReshape GpuAlloc HostFromGpu GpuFromHost GpuSplit GpuToGpu as_gpuarray_variable empty_like GpuContiguous GpuEye GpuJoin infer_context_name GpuKernelBase GpuAllocEmpty GpuGemv BlasOp GpuGemm local_inplace_gpuagemv local_inplace_gpuagemm GpuGer GpuDot22 local_inplace_gpuager NVCC_compiler local_logsoftmax_to_dnn dnn_gradweight GpuDnnConvGradI GpuDnnPoolGrad local_dnn_conv_inplace DnnVersion GpuDnnPoolDesc DnnBase dnn_conv dnn_pool local_dnn_conv_output_merge local_dnn_convw_alpha_merge dnn_available local_dnn_convw_output_merge raise_no_cudnn local_softmax_dnn_grad GpuDnnConv GpuDnnSoftmaxGrad local_softmax_dnn dnn_gradinput GpuDnnSoftmaxBase local_dnn_convgw_inplace local_dnn_convi_output_merge local_avg_pool_dnn_grad_stride local_dnn_conv_alpha_merge _dnn_check_version GpuDnnConvGradW version GpuDnnPool NoCuDNNRaise GpuDnnConvDesc ensure_dt local_dnn_convgi_inplace local_abstractconv_cudnn local_dnn_convi_alpha_merge dnn_present local_pool_dnn_grad_stride _dnn_check_compile local_pool_dnn_alternative local_log_softmax_dnn GpuDnnSoftmax ensure_allocated GpuElemwise as_C_string_const _is_scalar GpuDimShuffle GpuCAReduceCuda make_argument SupportCodeError GpuCAReduceCPY write_w load_w work_dtype inline_reduce nvcc_kernel inline_reduce_sum inline_reduce_max inline_reduce_prod code_version inline_reduce_fixed_shared_max inline_reduce_fixed_shared inline_softmax inline_reduce_min inline_softmax_fixed_shared GpuImages2Neibs use_gpu_images2neibs local_gemm16_alpha_merge local_gemm16_output_merge ensure_float to_gputensor local_dot_to_gemm16 local_gemm16_inplace Gemm16 GpuSoftmaxWithBias GpuCrossentropySoftmaxArgmax1HotWithBias GpuSoftmax GpuCrossentropySoftmax1HotWithBiasDx local_gpuaallocempty gpu_print_wrapper register_opt local_lift_abstractconv2d local_gpu_pdbbreakpoint_op local_gpua_alloc_empty_to_zeros safe_to_cpu local_gpu_contiguous_gpu_contiguous local_gpua_dot22 local_gpu_print_op local_gpua_join gpu_reconstruct_graph local_gpua_hgemm local_gpua_incsubtensor local_gpua_dot22scalar local_gpu_elemwise_careduce local_gpua_advanced_subtensor local_gpu_rebroadcast local_gpua_crossentropysoftmaxargmax1hotwithbias local_gpureshape local_cut_gpu_transfers local_gpuagemm_alpha_merge gpu_safe_new local_gpualloc_memset_0 tensor_to_gpu local_gpuagemm_output_merge safe_to_gpu local_gpuaalloc2 local_gpua_crossentropysoftmax1hotwithbiasdx local_gpua_specifyShape local_gpua_dimshuffle local_gpua_subtensor local_error_convop local_gpua_ger local_gpua_eye local_gpua_careduce local_gpua_softmaxwithbias local_gpua_gemm local_gpuflatten local_gpu_elemwise local_gpua_lazy_ifelse op_lifter local_gpuajoin_1 local_gpua_advanced_incsubtensor local_assert _scan_type_infer local_gpua_shape local_gpua_softmax max_inputs_to_GpuElemwise local_gpua_split InputToGpuOptimizer local_gpuaalloc local_scan_to_gpua local_gpua_gemv find_node alpha_merge inplace_allocempty is_equal grab_cpu_scalar output_merge GpuAdvancedSubtensor1 GpuAdvancedIncSubtensor1 GpuSubtensor GpuAdvancedIncSubtensor1_dev20 GpuIncSubtensor gpuarray_shared_constructor GpuArraySignature GpuArray_unpickler _name_for_ctx get_context GpuArrayType GpuContextType GpuArray_pickler reg_context GpuArrayConstant _operators GpuArrayVariable _unreg_context list_contexts ContextNotDefined GpuArraySharedVariable transfer init_dev TestDnnConv2d TestDnnConvTypes test_gpueye gpu_alloc_expected fake_shared rand_gpuarray test_transfer_cpu_gpu TestAlloc test_gpujoin_gpualloc test_alloc_empty inplace_func test_hostfromgpu_shape_i test_shape test_gpu_contiguous makeTester G_Join_and_Split test_transfer_strided G_comparison G_reshape TestGpuGer_OpContract test_hgemm_alpha_output_merge TestGpuSgemv TestGpuSger TestGpuSgerNoTransfer test_hgemm_swap test_dnn_conv_alpha_output_merge pool_2d_i2n test_dnn_conv_border_mode test_dnn_conv_grad test_dnn_conv_inplace test_dnn_conv_merge test_pooling test_pooling_with_tensor_vars test_pooling_opt test_SoftMax test_dnn_tag TestDnnInferShapes test_version test_dnn_conv_desc_merge test_gpu_Broadcast T_gpureduce_dtype test_elemwise_pow test_GpuCAReduceCPY test_GpuCAReduceCuda speed_reduce10 test_GpuDimShuffle T_GpuImages2Neibs test_gemm16_swap test_gemm16_value test_softmax_with_bias_float64 test_softmax_with_bias_float16 softmax_unittest_template test_softmax_float16 test_softmax_with_bias_float32 test_GpuCrossentropySoftmax1HotWithBiasDx softmax_with_bias_unittest_template test_SoftMax test_softmax_float32 test_softmax_float64 test_GpuCrossentropySoftmaxArgmax1HotWithBias test_print_op test_reduce test_local_assert test_rebroadcast test_local_lift_abstractconv_gpu_shape test_local_gpu_contiguous_gpu_contiguous test_local_lift_dot22scalar test_pdbbreakpoint_op test_local_gpualloc_memset_0 test_local_gpualloc_empty test_local_gpu_elemwise_careduce test_local_remove_all_assert TestSpecifyShape test_flatten test_local_gpu_subtensor test_gpu_ifelse test_local_gpu_elemwise test_unpickle_gpuarray_as_numpy_ndarray_flag1 test_unpickle_gpuarray_as_numpy_ndarray_flag2 T_Scan G_subtensor test_advinc_subtensor1 test_unpickle_gpuarray_as_numpy_ndarray_flag0 test_deep_copy test_filter_float test_specify_shape test_values_eq_approx tag_solve_triangular no_transpose_symmetric transinv_to_invtrans inv_as_solve hints local_det_chol HintsOptimizer local_log_prod_sqr is_positive Hint psd_solve_with_chol is_hint_node psd is_symmetric remove_hint_nodes HintsFeature is_psd spectral_radius_bound local_log_pow test_spectral_radius_bound test_transinv_to_invtrans test_rop_lop test_matrix_inverse_solve test_tag_solve_triangular run_with_c test_gpu_opt test_multinomial_dtypes get_mode test_n_samples_2 test_n_samples_1 test_multinomial_0 test_n_samples_compatibility test_multinomial_large test_function test_OP basic_multinomialtest basictest test_deterministic rng_mrg_overflow test_multMatVect test_gradient_scan test_binomial test_random_state_transfer test_overflow_gpu_old_backend test_consistency_cpu_parallel test_uniform test_multiple_rng_aliasing test_multinomial test_consistency_randomstreams test_consistency_GPU_parallel test_normal0 T_MRG test_consistency_GPU_serial test_consistency_cpu_serial test_multinomial_n_samples test_consistency_GPUA_parallel test_overflow_gpu_new_backend test_seed_fn test_consistency_GPUA_serial t_binomial test_overflow_cpu test_GPU_nstreams_limit Neg ComplexError EQ Pow IntDiv real_out XOR ArcCosh Sin Sinh upcast_out_no_complex Sqr cast upcast_out IsNan GT ArcTanh float_out_nocomplex Maximum Rad2Deg Minimum ArcTan Floor _scalar_py_operators GE Clip Identity BinaryBitOp OR Real ArcCos Ceil Sqrt ScalarConstant Cast Abs same_out_nocomplex Add Composite Invert LT Conj Imag int_out unary_out_lookup ScalarOp ArcTan2 round_half_away_from_zero_vec Cosh div_proxy Sgn Expm1 LE mod_check int_or_true_div Mod ComplexFromPolar UnaryBitOp TrueDiv upgrade_to_float ScalarVariable Log2 Exp2 specific_out float_out _multi AND RoundHalfAwayFromZero ArcSinh constant IntegerDivisionError Scalar Trunc Mul FixedLogicalComparison Inv Complex IsInf transfer_type Switch Sub Tan same_out RoundHalfToEven BinaryScalarOp ArcSin get_scalar_type Exp Angle upcast Tanh as_scalar InRange same_out_float_only Log10 Cos Log1p Second Log int_out_nocomplex UnaryScalarOp Deg2Rad upgrade_to_float_no_complex NEQ round_half_away_from_zero_ LogicalComparison Chi2SF Gamma J0 Erfc Erfcinv Psi Erfinv GammaLn Erf Erfcx J1 SymPyCCode include_line sympy_dtype theano_dtype shared ScalarSharedVariable test_ScalarOps test_composite test_grad_inrange test_upgrade_to_float test_grad_identity inputs test_logical test_grad_switch test_complex_mod test_div test_grad_gt test_multivar_grad test_grad test_SymPyCCode test_FutureDiv test_FutureDiv scan Scan profile_printer scan_merge_inouts PushOutScanOutput ScanInplaceOptimizer PushOutDot1 remove_constants_and_unused_inputs_scan make_equiv ScanSaveMem warning ScanMerge has_duplicates info PushOutSeqScan PushOutNonSeqScan try_reload try_import safe_new isNaN_or_Inf_or_None Validator until find_up _map_variables_inner scan_can_remove_outs expand_empty forced_replace map_variables infer_shape hash_listsDictsTuples clone compress_outs traverse scan_args reconstruct_graph equal_computations get_updates_and_outputs foldr foldl reduce map asarrayX test_speed_rnn clone_optimized_graph grab_scan_node test_speed test_compute_test_value_nonseq T_Scan T_Scan_Cuda test_speed_batchrnn test_constant_folding_n_steps ScanGpuTests T_Scan_Gpuarray scan_project_sum scan_nodes_from_fct test_compute_test_value_grad test_compute_test_value_grad_cast test_compute_test_value multiple_outputs_numeric_grad TestPushOutScanOutputDot GaussNewtonMatrix TestPushOutSumOfDot TestGaussNewton test_equal_compuations TestMapVariables Neg GetItem2Lists VStack structured_sigmoid csm_indices EqualSS structured_monoid CSMProperties cast LessThanSD NotEqualSS structured_dot StructuredDot arcsin SparseConstant ColScaleCSC Dot rint structured_maximum ConstructSparseFromList AddSD structured_log col_scale structured_minimum clean SparseFromDense _is_sparse_variable bsr_matrix structured_dot_grad structured_add arcsinh TrueDot StructuredDotGradCSR __ComparisonSwitch Cast csm_shape LessEqualSS GreaterEqualSS SparseVariable structured_pow csr_matrix add ceil csc_matrix EnsureSortedIndices GetItem2d sqrt log1p matrix __ComparisonOpSD arctan SamplingDot arctanh sp_sum true_dot Usmm CSMGrad SpSum GreaterThanSS conj mul sgn deg2rad AddSSData __ComparisonOpSS Diag row_scale _sparse_py_operators csm_indptr SquareDiagonal RowScaleCSC sin HStack sp_ones_like DenseFromSparse _is_dense StructuredDotGradCSC verify_grad_sparse AddSS tanh constant Transpose GreaterEqualSD sqr structured_exp dot sp_zeros_like GetItemList GetItem2ListsGrad MulSS as_sparse_or_tensor_variable MulSD CSM rad2deg vstack EqualSD floor csm_data expm1 GetItemListGrad GetItemScalar tan Remove0 sinh as_sparse_variable _is_dense_variable MulSV SparseConstantSignature trunc GreaterThanSD hstack StructuredAddSV LessThanSS sub LessEqualSD NotEqualSD local_mul_s_v local_inplace_remove0 SamplingDotCSR local_usmm_csc_dense_inplace MulSDCSC local_dense_from_sparse_sparse_from_dense local_usmm_csx local_structured_dot StructuredDotCSR local_mul_s_d MulSVCSR local_csm_grad_c local_structured_add_s_v local_addsd_ccode local_sampling_dot_csr CSMGradC StructuredAddSVCSR MulSDCSR UsmmCscDense local_csm_properties_csm AddSD_ccode StructuredDotCSC local_inplace_addsd_ccode sparse_constructor SparseTensorSharedVariable _is_sparse SparseType hash_from_sparse ConvolutionIndices convolve register_specialize max_pool Binomial Multinomial Poisson TestSP DotTests as_sparse_format test_csm_properties CastTester Test_getitem Remove0Tester test_shape sparse_random_inputs T_conversion test_size test_csm _format_info _HVStackTester EnsureSortedIndicesTester AddSSDataTester SparseInferShapeTester test_shape_i T_AddMul TrueDotTester test_structureddot eval_outputs test_may_share_memory T_transpose test_sparse_shared_memory CleanTester _hv_switch TestConstructSparseFromList ColScaleCSCTester UsmmTests SamplingDotTester MulSVTester StructuredAddSVTester T_verify_grad_sparse test_zeros_like test_hstack_vstack elemwise_checker random_lil DiagTester structure_function RowScaleCSCTester SpSumTester SquareDiagonalTester test_comparison as_ndarray test_local_mul_s_d test_sd_csc test_local_dense_from_sparse_sparse_from_dense test_local_mul_s_v test_local_csm_grad_c test_local_csm_properties_csm test_local_sampling_dot_csr test_local_structured_add_s_v MultinomialTester PoissonTester BinomialTester test_sparse_type test_hash_from_sparse _nd_grid cos is_flat _scal_elemwise_with_nfunc erfcx patternbroadcast clip tensordot Diagonal EmptyConstantError Reshape transpose argmin stacklists eq cast ScalarFromTensor real Nonzero addbroadcast arcsin smallest switch ones_like Tile get_scalar_constant_value complex_from_polar Dot tri __oplist_tag vertical_stack mean nonzero tril batched_tensordot ShapeError gammaln shape_padright outer xor allclose max_and_argmax isclose check_equal_numpy scalar arcsinh log2 true_div max Split MaxAndArgmax add Default round_half_to_even NumpyAutocaster Join _pack ceil tensor4 prod round_half_away_from_zero horizontal_stack neg and_ arccosh or_ arctan2 sqrt _tensordot_as_dot permute_row_elements isinf log1p matrix erfcinv vector invert var minimum PermuteRowElements arctan reshape divmod constant_or_value min inv arctanh div_proxy Choose inverse_permutation std diag conj mul sgn arange register_transfer ptp deg2rad mod_check roll neq flatten constructor Diag abs_ choose argmax Flatten exp _get_atol_rtol nonzero_values _obj_is_wrappable_as_tensor chi2sf all largest erf j0 Tri sin _multi sum flatnonzero get_vector_length int_div shape_padleft as_cuda_or_tensor_variable stack tile swapaxes numpy_scalar gamma tanh constant sqr erfc maximum isnan pow dot eye NotScalarConstantError imag split autocast_float_as complex erfinv mod zeros_like iround rad2deg psi identity_like floor TensorFromScalar transfer ceil_intdiv tensor _conversion expm1 round log Eye Alloc unbroadcast AllocEmpty tan angle lt ones tensor3 log10 sinh _allclose ge triu shape_padaxis j1 arccos second trunc concatenate batched_dot cosh ARange exp2 diagonal power Mean makeKeepDims row col as_tensor_variable gt any sub extract_constant zeros le local_dot22_to_ger_or_gemv _gemm_canonicalize Gemm Gemv _beta_L_plus_alpha_M _as_scalar local_print_as_we_go_along _gemm_from_factored_list local_inplace_gemv Dot22Scalar _is_real_vector _factor_canonicalized GemmOptimizer local_inplace_ger Ger _is_real_matrix _gemm_from_node2 Dot22 check_init_y local_dot_to_dot22 local_gemm_to_gemv ldflags _ldflags res_is_a BatchedDot local_inplace_gemm local_dot22_to_dot22scalar local_gemm_to_ger GemmRelated make_c_gemv_destructive gemv_c_code CGer make_c_ger_destructive ger_c_code CGemv use_c_ger use_c_gemv BaseBLAS check_force_gemv_init ____gemm_code blas_header_version blas_header_text cblas_header_text detect_macos_sdot_bug use_scipy_ger make_ger_destructive ScipyGer DimShuffle Prod TensorVariable CAReduce CAReduceDtype ProdWithoutZeros TensorType DimShufflePrinter as_tensor_variable Sum All TensorConstant MulWithoutZeros Elemwise Any make_declare make_loop_careduce make_reordered_loop make_alloc make_checks make_loop cumsum CumsumOp compress squeeze bartlett bincount Unique fill_diagonal CumprodOp FillDiagonal BinCountOp cumprod Bartlett DiffOp CpuContiguous RepeatOp repeat FillDiagonalOffset to_one_hot fill_diagonal_offset diff Fourier sqrt_inplace abs__inplace transpose_inplace lt_inplace arcsin_inplace round_half_away_from_zero_inplace log10_inplace deg2rad_inplace maximum_inplace arccosh_inplace pow_inplace le_inplace neg_inplace floor_inplace arctanh_inplace j1_inplace log2_inplace minimum_inplace int_div_inplace add_inplace exp2_inplace gamma_inplace conj_inplace true_div_inplace sgn_inplace rad2deg_inplace mod_inplace gammaln_inplace ceil_inplace chi2sf_inplace erfc_inplace erf_inplace exp_inplace log_inplace _scal_inplace round_half_to_even_inplace eq_inplace neq_inplace log1p_inplace sqr_inplace cosh_inplace erfcx_inplace second_inplace tanh_inplace gt_inplace invert_inplace sin_inplace mul_inplace j0_inplace arctan2_inplace arctan_inplace inv_inplace and__inplace expm1_inplace psi_inplace trunc_inplace cos_inplace ge_inplace sub_inplace sinh_inplace arcsinh_inplace xor_inplace tan_inplace arccos_inplace or__inplace load isend irecv recv send mpi_tag_key MPIRecvWait mpi_send_wait_key MPISendWait MPIRecv MPISend LoadFromDisk LogDetPSD QRFull _zero_disconnected MatrixPinv chol2inv eigh QRIncomplete EighGrad svd MatrixInversePSD Eigh trace Eig matrix_power Det SVD AllocDiag matrix_dot norm MatrixInverse ExtractDiag qr diag lstsq local_remove_useless_assert local_opt_alloc local_merge_alloc local_join_empty scalarconsts_rest local_reduce_join local_log_erfc local_reshape_chain Canonizer elemwise_max_input_fct register_specialize_device local_mul_to_sqr local_log_add local_elemwise_sub_zeros out2in local_setsubtensor_of_constants local_join_1 local_remove_all_assert local_intdiv_by_one register_canonicalize broadcast_like inplace_elemwise_optimizer_op local_useless_switch Assert local_useless_subtensor local_sum_prod_div_dimshuffle apply_rebroadcast_opt local_expm1 check_for_x_over_absX FusionOptimizer distribute_greedy local_useless_reshape in2out get_clients2 local_useless_alloc local_useless_fill local_subtensor_make_vector local_join_make_vector merge_two_slices is_inverse_pair encompasses_broadcastable local_useless_elemwise register_stabilize MakeVectorPrinter local_div_switch_sink get_clients local_incsubtensor_of_zeros copy_stack_trace local_pow_canonicalize local_scalar_reshape local_useless_split local_useless_elemwise_comparison local_inplace_setsubtensor local_useless_tile local_reshape_lift local_reduce_broadcastable local_zero_div local_alloc_empty_to_zeros local_adv_sub1_adv_inc_sub1 local_inv_canon local_cast_cast local_cut_useless_reduce local_fill_sink add_calculate local_op_of_op local_lift_transpose_through_dot local_alloc_unary local_useless_rebroadcast local_shape_to_shape_i local_fill_to_alloc local_grad_clip local_sum_prod_all_to_none local_merge_switch_same_cond local_useless_slice local_neg_div_neg local_mul_zero local_IncSubtensor_serialize local_neg_to_mul local_add_mul_fusion local_flatten_lift local_neg_neg local_mul_switch_sink local_fill_cut local_subtensor_merge local_dimshuffle_lift ShapeFeature local_sum_over_empty local_abs_merge attempt_distribution local_grad_log_erfc_neg local_sum_prod_mul_by_scalar local_pow_specialize_device local_pow_specialize local_subtensor_of_dot local_greedy_distributor merge_broadcastables constant_folding _fill_chain local_tensor_scalar_tensor dimshuffle_as_view local_mul_specialize local_div_to_inv local_elemwise_fusion_op local_inplace_incsubtensor1 local_dimshuffle_no_inplace_at_canonicalize local_subtensor_of_alloc local_subtensor_lift local_set_to_inc_subtensor apply_local_dimshuffle_lift local_elemwise_alloc_op local_rebroadcast_lift ShapeOptimizer local_upcast_elemwise_constant_inputs local_add_specialize local_useless_inc_subtensor local_useless_inc_subtensor_alloc register_specialize mul_calculate register_uncanonicalize MakeVector local_log1p local_0_dot_x local_track_shape_i local_abs_lift local_scalar_tensor_scalar local_func_inv local_max_and_argmax local_max_to_min RandomStateType normal RandomFunction permutation multinomial_helper random_make_inplace random_integers_helper choice_helper permutation_helper random_integers choice multinomial uniform RandomStreamsBase binomial _infer_ndim_bcast poisson _generate_broadcasting_indices tensor_constructor load_shared_variable TensorSharedVariable ScalarSharedVariable scalar_constructor RandomStreams randomstate_constructor RandomStateSharedVariable EigvalshGrad Cholesky Eigvalsh CholeskyGrad eigvalsh Expm ExpmGrad Solve kron argsort sort ArgSortOp SortOp Subtensor inc_subtensor set_subtensor _sum_grad_over_bcasted_dims AdvancedIncSubtensor1 AdvancedSubtensor IncSubtensor get_canonical_form_slice SubtensorPrinter AdvancedSubtensor1 get_idx_list take adv_index_broadcastable_pattern AdvancedIndexingError AdvancedIncSubtensor as_index_variable make_constant TensorType values_eq_approx_always_true values_eq_approx_remove_inf values_eq_approx_remove_inf_nan values_eq_approx_remove_nan SliceType MakeSlice SliceConstant NoneTypeT as_int_none_variable shape_of_variables hash_from_ndarray TensorConstantSignature TensorVariable AsTensorError TensorConstant _tensor_py_operators equal_slices XlogY0 XlogX AbstractConv2d_gradWeights bilinear_kernel_1D bilinear_upsampling get_conv_shape_1axis BaseAbstractConv2d conv2d_grad_wrt_weights conv2d_grad_wrt_inputs AbstractConv2d_gradInputs conv2d AbstractConv2d bilinear_kernel_2D get_conv_output_shape sparse_block_dot SparseBlockGemv SparseBlockOuter BNComposite batch_normalization conv2d ConvOp gen_conv_code_unroll_batch_kern Conv3D conv3D computeH DiagonalSubtensor get_diagonal_subtensor_view local_inplace_DiagonalSubtensor IncDiagonalSubtensor conv3d make_gpu_optimizer ConvGrad3D ConvTransp3D computeR CorrMM_gradInputs BaseCorrMM CorrMM CorrMM_gradWeights images2neibs neibs2images Images2Neibs logsoftmax crossentropy_to_crossentropy_with_softmax_with_bias Softmax Prepend_scalar_constant_to_each_row CrossentropyCategorical1HotGrad CrossentropySoftmaxArgmax1HotWithBias crossentropy_softmax_1hot_with_bias local_logsoftmax_grad local_logsoftmax softmax_simplifier _is_const local_softmax_with_bias SoftmaxGrad local_softmax_grad_to_crossentropy_with_softmax_grad LogSoftmax crossentropy_softmax_max_and_argmax_1hot_with_bias CrossentropyCategorical1Hot h_softmax crossentropy_softmax_max_and_argmax_1hot elu CrossentropySoftmax1HotWithBiasDx local_advanced_indexing_crossentropy_onehot_grad local_argmax_pushdown _check_rows_is_arange_len_labels local_advanced_indexing_crossentropy_onehot crossentropy_to_crossentropy_with_softmax categorical_crossentropy local_useless_crossentropy_softmax_1hot_with_bias_dx_alloc softmax_graph Prepend_scalar_to_each_row relu softmax crossentropy_softmax_1hot graph_merge_softmax_with_crossentropy_softmax binary_crossentropy SoftmaxWithBias local_inplace_sparse_block_gemv local_abstractconv_check local_conv2d_gradweight_cpu local_conv2d_gradinputs_cpu local_abstractconv_gemm local_abstractconv_gradweight_gemm local_conv2d_cpu local_abstractconv_gradinputs_gemm local_inplace_sparse_block_outer local_sigm_times_exp partition_num_or_denom is_1pexp is_mul compute_mul is_exp ScalarSigmoid parse_mul_tree replace_leaf ScalarSoftplus _skip_mul_1 perform_sigm_times_exp UltraFastScalarSigmoid local_exp_over_1_plus_exp hard_sigmoid simplify_mul is_neg sigm_canonicalize local_inv_1_plus_exp local_hard_sigmoid _is_1 local_1msigmoid local_sigm_gest local_ultra_fast_sigmoid conv2d exec_multilayer_conv_nnet_old flip speed_multilayer_conv exec_multilayer_conv_nnet TestConvTypes TestBilinearUpsampling TestGetConvOutShape TestCpuConv2d BaseTestConv2d conv_corr_gi conv_corr conv_corr_gw TestCorrConv2d test_constant_shapes BlockSparse_Gemv_and_Outer test_bn_feature_maps test_bn test_broadcast_grad TestConv2D TestDefaultConv2D TestConv3D DummyConv3D DummyConvTransp3D DummyConvGrad3D test_get_diagonal_subtensor_view check_diagonal_subtensor_view_traces pyconv3d test_conv3d TestCorr2D T_Images2Neibs T_prepend T_SoftmaxGrad T_CrossentropyCategorical1Hot test_asymptotic_32 T_Softmax T_sigmoid test_elu T_CrossentropyCategorical1HotGrad T_SoftmaxWithBias T_CrossentropySoftmax1Hot test_stabilize_log_softmax test_argmax_pushdown test_grad_softmax_grad T_softplus Test_softmax_opt test_binary_crossentropy_reshape T_CrossentropySoftmax1HotWithBiasDx test_relu test_softmax_graph T_CrossentropySoftmaxArgmax1HotWithBias test_argmax_pushdown_bias test_h_softmax T_LogSoftmax test_blocksparse_inplace_gemv_opt test_blocksparse_inplace_outer_opt T_sigmoid T_softplus_opts T_sigmoid_utils T_sigmoid_opts T_softplus conv2d DownsampleFactorMaxGrad MaxPoolGrad DownsampleFactorMaxGradGrad pool_2d PoolGrad max_pool_2d_same_size AveragePoolGrad Pool TestSignalConv2D TestDownsampleFactorMax HiddenLayer MLP gen_data LogisticRegression test_mlp test_symbolic_slice test_flatten_outdim2 T_Choose test_arithmetic_cast makeBroadcastTester TestTensorInstanceMethods test_identity makeTester randint_ranged T_long_tensor test_transpose test_smallest test_size test_grad T_add T_scalarfromtensor test_divmod T_swapaxes test_numpy_assumptions upcast_float16_ufunc test_triangle test_allocempty rand_ranged eval_outputs test_tensordot test_batched_dot check_floatX test_autocast rand_nonzero _test_autocast_numpy_floatX safe_make_node T_Shape get_numeric_types TestAlloc test_dimshuffle_duplicate get_numeric_subclasses test_smallest_stack _test_autocast_custom test_mod test_mod_compile rand test_tensor_values_eq_approx _numpy_true_div randint_nonzero _numpy_checker upcast_int8_nfunc T_tensorfromscalar test_flatten_scalar T_Power L T_Clip TestNdGrid T_GetVectorLength test_stacklists test_flatten_outdim1 T_min_max T_as_tensor_variable test_nan_inf_constant_signature _approx_eq test_basic_allclose T_exp inplace_func test_py_c_match randuint T_op_cache ApplyDefaultTestOp test_flatten_outdim_invalid TestPermuteRowElements T_mean CastTester rand_of_dtype T_argmin_argmax TestInversePermutation T_sum test_flatten_broadcastable multi_dtype_checks multi_dtype_cast_checks TestInferShape test_tile test_flatten_outdimNone test_reshape_member_fn test_ptp T_Join_and_Split test_len test_nonzero randc128_ranged test_complex_mod _numpy_second randcomplex T_get_scalar_constant_value copymod TestSpecifyShape test_tile_grad test_comparison test_bitwise test_broadcast test_eye test_norm T_divimpl TestAsTensorVariable _test_autocast_numpy test_is_flat T_ceil test_composite_neg_bool test_flatten_outdim2_of_3 test_default test_batched_tensordot T_max_and_argmax t_dot T_outer test_matinv randcomplex_nonzero TestARange test_unalign test_make_column_matrix_broadcastable test_var test_default_state randint T_reshape t_gemm TestGer test_upcasting_scalar_nogemm TestGemv test_gemm_unrolled just_gemm test_gemm_factor TestGer_make_node test_dot22scalar_cast sharedX TestSgemv matrixmultiply test_gemm_with_vector TestDgemv t_as_scalar test_dot_w_self test_dot_eq test_gemm_opt_wishlist T_real_matrix Failure test_res_is_a test_inplace1 test_infer_shape BaseGemv test_local_dot22_to_dot22scalar test_inplace0 test_gemm_nested test_gemm_opt_vector_stuff TestBlasStrides XYZab test_dot22 test_dot22scalar test_gemm_opt0 TestGer_OpContract test_gemm_canonicalize fail test_gemm_opt_double_gemm TestCGemvFloat64 TestBlasStridesC TestCGemvFloat32 TestCGer TestCGemv TestBlasStridesScipy TestScipyGer test_casting TestRealImag test_Broadcast test_reduce_axes T_reduce_dtype test_DimShuffle T_mean_dtype T_prod_without_zeros_dtype test_IsInf_IsNan TestBitOpReduceGrad TestElemwise test_gt_grad test_clip_grad test_not_implemented_elemwise_grad test_clip_grad_int FunctionGraph test_CAReduce test_Prod TestDiffOp TestCumsumOp CompressTester TestBartlett SqueezeTester TestFillDiagonal TestFillDiagonalOffset test_Unique test_to_one_hot TestRepeatOp test_cpu_contiguous TestBinCountOp TestCumprodOp TestFourier test_merge_opt_runtime test_gc_never_pickles_temporaries test_no_reuse Test_inc_subtensor T_load_tensor TestKeepDims test_merge_with_weird_eq as_variable MyType MyOp test_bug_2009_07_17_borrowed_output test_bug_2009_06_02_trac_387 test_deepcopied_type_filter test_mpi_roundtrip test_can_make_function test_mpi_send_wait_cmp test_mpi_tag_ordering test_recv test_send test_mpi_schedule test_Eigh_float32 test_Eig test_det_grad test_svd test_Eigh Matrix_power test_trace test_inverse_grad test_pseudoinverse_correctness test_qr_modes test_det T_NormTests test_diag test_inverse_singular T_lstsq test_det_shape test_MatrixInverse test_matrix_dot test_local_subtensor_lift test_local_pow_specialize_device_more_aggressive_on_cpu test_local_join_1 test_local_merge_alloc T_local_sum_prod test_local_join_empty test_local_useless_inc_subtensor TestShapeFeature T_local_erfc test_local_flatten_lift TestCompositeCodegen test_greedy_distribute test_local_useless_reshape test_local_merge_switch_same_cond test_add_canonizer_problem0 Test_local_useless_inc_subtensor_alloc T_func_inverse test_local_adv_sub1_adv_inc_sub1 test_local_subtensor_of_alloc test_local_useless_subtensor test_local_upcast_elemwise_constant_inputs Test_local_elemwise_alloc TestIntDivByOne T_Tile test_canonize test_local_tensor_scalar_tensor test_local_join_make_vector test_shapeoptimizer test_local_div_to_inv Test_local_useless_alloc test_constant_folding test_dimshuffle_lift test_mixeddiv T_cast_cast test_local_mul_specialize T_local_reduce test_local_useless_switch test_local_reshape_lift T_local_erf test_local_zero_div T_useless_elemwise test_local_add_specialize test_assert_op_gradient test_merge_abs_bugfix inputs T_local_switch_sink test_local_merge_abs test_local_pow_specialize test_const_type_in_mul_canonizer Test_alloc_zero test_local_useless_slice Test_lift_transpose_through_dot test_assert test_log_add test_constant_get_stabilized test_local_subtensor_make_vector T_local_sum_prod_dimshuffle test_fusion test_local_set_to_inc_subtensor test_local_fill_useless test_local_expm1 test_local_subtensor_of_dot optimize Test_Reshape test_log1p TestMakeVector test_local_useless_split TimesN Test_local_useless_elemwise_comparison T_Rebroadcast test_local_scalar_tensor_scalar TestShape_i speed_local_pow_specialize_range test_local_IncSubtensor_serialize test_local_subtensor_merge T_min_max T_max_and_argmax T_random_function test_scalar_shared_options makeSharedTester T_SharedRandomStreams TestKron test_cholesky test_eigvalsh check_upper_triangular test_eigvalsh_grad test_expm test_Solve check_lower_triangular test_expm_grad_2 test_expm_grad_3 test_cholesky_and_cholesky_grad_shape test_cholesky_grad test_expm_grad_1 TensorInferShapeTester test_argsort test_sort test_argsort_grad TestAdvancedSubtensor T_subtensor L TestInferShape TestIncSubtensor1 test_none_Constant test_make_slice_merge Tshape_of_variables test_hash_from_ndarray test_numpy_method test_copy T_XlogX T_XlogY0 PdbBreakpoint disturb_mem T_scipy main TheanoNoseTester Record MismatchError RecordMode main run test002_jacobian_matrix test004_hessian test001_jacobian_vector test_jacobian_disconnected_inputs test003_jacobian_scalar TestPdbBreakpoint T_config test_determinism_1 sharedX dictionary_output_checker check_all_files print_files_information_flake8 list_files test_format_flake8 test_known_grads_integers test_grad test_known_grads TestConsiderConstant TestDisconnectedGrad test_subgraph_grad test_undefined_cost_grad test_dxdx TestZeroGrad test_disconnected_cost_grad test_grad_clip grad_sources_inputs testgrad_sources_inputs test_ifelse test_pickle_unpickle_with_reoptimization test_pickle_unpickle_without_reoptimization test_pydotprint_cond_highlight test_min_informative_str test_pydotprint_return_image test_scan_debugprint5 test_debugprint test_pydotprint_long_name test_scan_debugprint4 test_scan_debugprint2 test_scan_debugprint3 test_printing_scan test_scan_debugprint1 test_pydotprint_variables test_pydotprint_profile test_record_mode_good test_record_good test_record_mode_bad test_record_bad RopLop_checker BreakRop test_RopLop test_ifelse seed_rng verify_grad InferShapeTester TestOptimizationMixin T_OpContractMixin str_diagnostic WrongValue fetch_seed AttemptManyTimes assert_allclose TypedListVariable Extend Count Append _typed_list_py_operators Reverse Remove MakeList Length Insert TypedListConstant Index GetItem typed_list_inplace_opt TypedListType test_remove test_extend test_get_item test_count test_insert random_lil test_reverse rand_ranged_matrix TestMakeList test_append test_index test_length test_constant_folding test_inplace rand_ranged_matrix test_typed_list_type rand_ranged_matrix check GraphPropPredDataset DglGraphPropPredDataset collate_dgl PygGraphPropPredDataset Evaluator AtomEncoder BondEncoder read_graph_dgl read_heterograph_dgl read_graph_pyg read_heterograph_pyg read_csv_graph_raw read_binary_graph_raw read_binary_heterograph_raw read_nodesplitidx_split_hetero read_node_label_hetero read_npz_dict read_csv_heterograph_raw test_datasetsaver DatasetSaver LinkPropPredDataset DglLinkPropPredDataset PygLinkPropPredDataset Evaluator PyGPCQM4MDataset PCQM4MEvaluator NodePropPredDataset DglNodePropPredDataset PygNodePropPredDataset Evaluator bond_to_feature_vector get_atom_feature_dims atom_to_feature_vector get_bond_feature_dims bond_feature_vector_to_dict atom_feature_vector_to_dict safe_index smiles2graph replace_numpy_with_torchtensor all_numpy decide_download makedirs download_url extract_zip maybe_log main eval train init_model init_model main eval main eval train init_model encode_y_to_arr test encode_seq_to_arr ASTNodeEncoder decode_arr_to_seq augment_edge get_vocab_mapping load_checkpoint_results create_checkpoint summary_report load_checkpoint ASTNodeEncoder2 augment_edge2 remove_checkpoint ASAP GuessTokensByOccurrence MostPerfectModel GuessNodeOneToken MajorityPred PerfectModel GNN_node GNN_node_Virtualnode GINConv GCNConv MultAttnConv init_param_emb GatedSumConv SelfAttnConv AggConv DAGNN AttnConv init_encoder GNN GNN DGCNN MLPClassifier SAGPoolGNN _param_init GGNN_Simple glorot_uniform DiffPoolGNN SAGPoolGNN_EA UNet weights_init GAT GGNN init_activation Collater DataLoader DenseDataLoader DataListLoader DenseCollater DataParallel GatedGraphConv assert_order add_order_info_01 top_sort add_order_info listdir join int format listdir print tolist stdev sum read_csv len zero_grad set_description clip predictor mseloss _collate_fn encode append to sum all_gpus format shuffle startswith clip_grad_norm enumerate backward print tqdm parameters step loss len encode format predictor print _collate_fn tqdm sqrt eval set_description startswith item append to loss enumerate len deepcopy encode _collate_fn tqdm eval startswith append to numpy enumerate join format res_dir print extract_latent savemat data_name close dumps loads close load update load_state_dict state_dict print max_n shuffle num_vertex_type len unsqueeze scatter_ one_hot eval append zeros enumerate cat len add_vertices add_edge Graph eval enumerate len append range int IN get_adjlist append vcount range num_class print max_n shuffle num_vertex_type len one_hot len eval append zeros cat enumerate add_vertices add_edge Graph eval enumerate len Data DiGraph add_order_info contiguous len eval zeros float enumerate Data DiGraph add_order_info contiguous len eval zeros float enumerate tolist append reshape tolist range decode list format decode_igraph_to_BN_adj is_valid_BN Counter tqdm set_description is_valid_ENAS START_TYPE append decode_igraph_to_ENAS END_TYPE range len join draw_BN draw_network add_edge draw layout AGraph vcount range add_node add_edge list draw layout dict zip vcount AGraph range add_node vcount range is_same_DAG tqdm is_dag vs is_valid_DAG vcount range is_dag vs list new map paste save zip sum max open ones_like exp transpose float32 outer dot sum T exp ones outer dot sum ones_like exp transpose float32 outer dot sqrt sum prod T exp ones outer dot sqrt sum prod casting exp transpose batched_dot sqrt tile prod casting exp transpose sqrt tile prod einsum list function_grid reshape argmin tolist fmin_l_bfgs_b zip casting grad shape sqrt zip append shared zeros switch casting lt log_n_cdf_approx n_cdf log switch casting lt n_pdf n_cdf max mean std append enumerate pop join list append listdir decode _minimal_ext_cmd git_version write_text exists isdir write_version_py setup MergeOptimizer PatternSub TopoOptimizer gemm_pattern_1 append locals repeat Timer locals asarray print min dict repeat Timer timeit_2vector_theano show asarray print xlabel min semilogx ylabel grid timeit_2vector axhline savefig clf legend append max range len grid axhline clf xticks show subplot ylabel title savefig append semilogx timeit_2vector zip xlim enumerate isinstance xlabel subplots_adjust figure ProfileMode make update print_summary randn print w b OpWiseCLinker PrintEverythingMode range RandomState RandomState join exit extend append build_main join getenv pathsep exists split any int split get join remove try_blas_flag extend realpath getenv any prefix warning base_prefix blas_opt_info listdir append try_compile_tmp dedent join isdigit replace platform split release len sub compiledir_format join F_OK close realpath access expanduser makedirs getenv expanduser classmethod strip warn shlex split append expanduser rsplit print __get__ doc sorted setattr hasattr fullname fetch_val_for_key __get__ getattr __class__ append SubObj type split owner isinstance as_tensor_variable OrderedDict zip append _traverse enumerate list isinstance grad dict zip _populate_grad_dict tuple dtype list hasattr name OrderedDict disconnected_type append range handle_disconnected astype _populate_var_to_app_to_idx type keys time isinstance _float_zeros_like extend _float_ones_like len list grad set OrderedDict zip range len connection_pattern hasattr len inputs op range enumerate list set OrderedDict visit account_for iter keys OrderedDict zeros_like ones_like o_fn numeric_grad random_projection function max_err isinstance set_value grad fun dict grad_fn shared sum max range enumerate list scan isinstance list isinstance grad scan append type get_scalar_constant_value isinstance warn new_ifelse list as_tensor_variable filter_variable IfElse zip append op owner inputs op index add set ifelse mop append iteritems list inputs op enumerate iteritems list inputs op enumerate new_ifelse op outputs IfElse append range len new_ifelse list owner isinstance name inputs op clone add set outputs IfElse zip variable outputs FunctionGraph hasattr Apply append StringIO toposort inputs op zip flush enumerate stdout isinstance Variable print extend dict any Scan temp message print attrs getattr callable var_name warn outputs Edge device FunctionGraph iteritems list str hasattr compiledir name Apply getattr intersection toposort add_edge Dot recursive_pass Cluster inputs expanded_inputs reversed set op Node zip add_node pop join enumerate items isinstance apply_name Variable print write difference fn add_subgraph split mode plot_apply join Dot owner compiledir print write warn outputs device append str get_tag hasattr name inputs op _TagGenerator str get_tag hasattr print name position_independent_str op _TagGenerator Variable isinstance join hexdigest __rdot__ __dot__ update items pop iteritems setdefault iterkeys itervalues values __import__ _get_module name setattr delattr tp get stdout pop _print flush __str__ isinstance hasattr set chr ord str owner get_id_str getattr fct_call_time get type compute_total_times index _VariableEquivalenceTracker DestroyHandler features attach_feature apply_nodes feature op getattr Supervisor FunctionGraph hasattr tag iteritems str isinstance inputs extend op getattr warning append enumerate pop iteritems inputs op id outputs getattr enumerate print TypeError deepcopy ndarray isinstance copy hasattr tag values_eq_approx outputs enumerate update iteritems setdefault print set outputs enumerate outputs check_variable enumerate set tuple outputs check_preallocated_output_ndim CudaNdarray value_zeros dtype list str all _lessbroken_deepcopy shape itertools_product broadcastable append range slice astype reversed zip type enumerate T isinstance ndim cuda_dimshuffle zeros len _check_inputs _check_viewmap warn outputs thunk _get_preallocated_maps add _lessbroken_deepcopy getattr get debug inputs op copy set info enumerate isinstance any mode check_strides patience check_c check_py check_finite check_preallocated_output split dict pfunc items sorted list str isinstance warn any sub orig_function append extract_stack bool type len get getattr op index iteritems op add clients getattr chain alias_root view_tree_set set pop list inputs reversed outputs zip update DestroyHandler features attach_feature apply_nodes feature op Supervisor getattr append FunctionGraph range len property list isinstance may_share_memory input_storage indices warning zip append enumerate defaults len create input_storage zip alias_root view_tree_set change_input deep_copy_op inputs index set outputs borrow view_op range len dict reoptimize_unpickled_function unpickle_function insert list time create isinstance apply_nodes len map get_mode getattr wrap_out Variable Constant isinstance len issparse todense property excluding requiring optimizer_requiring optimizer_including eval including append DebugMode NanGuardMode optimizer_excluding __name__ mode print outputs debugprint append extend isinstance RandomState _cdata_type compile_gpu_func isinstance RandomState _cdata_type compile_gpu_func isinstance function min abs_ max fvector shape_feature owner recur shape_of fgraph getattr __import__ list any items list clone_v_get_shared_updates isinstance iter_over_pairs variable filter_variable append shared Out update items list isinstance rebuild_collect_shared zip index set profile ProfileStats In append enumerate isinstance isinstance property print_summary append stdout iteritems merge_profile print len stderr destination copy getattr summary append setattr open output_line_width property append remove ctor isinstance add_tag_trace reversed constructors f function dvector function dvector off_by_half f_good f_inconsistent inconsistent function dvector f EquilibriumDB query register function dvector f EquilibriumDB query register function dvector EquilibriumDB add query register wb2 function dvector f function dvector wb2i function dvector vector join function mkdtemp function_dump fn fail function scalar tanh function op dot NoOutputFromInplace AddFeatureOptimizer matrix register Mode including dscalar f function excluding function MonitorMode f dscalar vector excluding function MonitorMode f outer log function assert_raises floatX getLogger astype fun dot tile shared matrix str replace iteritems sub join replace formatter replace_patterns dirname PyDotFormatter copytree makedirs formatter PyDotFormatter write_dot data asarray replace isinstance Constant array2string array encode basename replace tag get fct_call_time dtype str dtype_to_char broadcastable broadcastable_to_str str join iteritems replace isinstance dict Node compiledir join CallCache behavior cleanup update join locals behavior dict code_gen locals c_declare locals c_extract locals any locals c_extract_out op check_input getattr locals isinstance dict CodeBlock failure_code failure_code_init print setattr getattr time hasattr endswith debug invalidate_caches listdir append startswith isinstance set rmtree log warning dirname ModuleCache _on_atexit register get_numpy_include_dirs abspath dirname get_python_inc join replace endswith get_python_version print insert get_config_var prefix dirname startswith get_python_inc append get_python_lib output_subprocess_Popen load join list ndarray isinstance compiledir remove_key flatten rmtree startswith c_code_cache_version listdir keys open join sorted iteritems sum setdefault compiledir print __class__ listdir len compiledir rmtree join sorted isdir print base_compiledir append listdir rmtree base_compiledir release_lock get_lock release_lock get_lock release_lock join time str refresh_lock lock_dir compiledir lock unlock unlocker info lock_is_enabled Unlocker register unlock join time kill int refresh_lock isdir wait unlock uniform getpid warning dirname mkdir info timeout sleep makedirs join join replace compiledir compile_str mkdir compile_args get list owner apply_nodes popleft inputs extend outputs deque variables append len get view_i list items put add OrderedSet destroyers Queue extend outputs Supervisor fgraph sum property count property pop list extend start_pop set add id expand popleft append deque stack_search ancestors deque stack_search add owner variables_and_orphans set clone_get_equiv setdefault clone inputs outputs zip clone_with_new_inputs io_toposort update get print popleft set add deque append stack_search general_toposort set connection_pattern inputs outputs append io_toposort range len iteritems list map dict equal_computations append is_same_graph_with_merge inputs as_string owner ops inputs add set orphans dict view_map owner reload write format_list hasattr __thunk_trace__ __excepthook log_thunk_trace exc_info tuple debugprint str dtype itemsize hasattr shape trace getattr append prod StringIO toposort inputs op tag destroy_map join view_map getsizeof may_share_memory print_list sort index exc_type reraise property isinstance setdefault inputs outputs Constant zip add outputs inputs set add_tag_trace staticmethod as_tensor_variable compute_test_value warn compute_test_value warn compute_test_value warn append get_test_value enumerate set simple_meth apply_meth MULTILINE compile FromFunctionOptimizer __name__ DestroyHandler FromFunctionOptimizer __name__ deepcopy iteritems optimize replace inputs FunctionGraph Variable isinstance set iteritems copy pop Op list isinstance reversed Apply isinstance owner local_recursive_function index SeqOptimizer LocalOptGroup make_depends get tuple pop get remove reverse_dict set dict add any append dict add_links make_dependence_cmp pickle_rm_attr Variable Constant value vartype unify_walk Unification f_back co_filename hasattr strip tracebacklimit reverse co_name append f_globals f_code getline f_lineno simple_extract_stack limit type set isinstance get iteritems add set append get filter hist enumerate encode isinstance items list iteritems isinstance sort tuple get remove inputs op set add outputs getattr variables range append len double FunctionGraph mul accept Env bad_sub inputs add div make_function mul accept Env bad_sub inputs add div Constant code_gen make_function vector Mode function benchmark matrix array make_node accept Env inputs outputs make_function accept Env inputs add make_function accept Env inputs add make_function mul accept Env inputs add make_function mul accept Env bad_sub inputs add div make_function cxx mul accept Env inputs add fn Constant make_function mul accept Env inputs add fn make_function mul accept Env bad_sub inputs fn make_function add_fail mul accept Env inputs fn Constant make_function Mode g function f CLinker gv fv shared zeros iscalar f function arange dvectors try_flags short_platform MyVariable DestroyHandler validate attach_feature ReplaceValidate optimize replace Env add_in_place inputs transpose_view add dot consistent inconsistent replace_validate replace Env add_in_place inputs transpose_view sigmoid consistent inconsistent Env add_in_place inputs copy add consistent inconsistent replace_validate replace Env add_in_place inputs transpose_view sigmoid dot consistent inconsistent Env add_in_place inputs add consistent replace_validate Env add_in_place inconsistent inputs Env add_in_place inputs transpose_view inconsistent Env add_in_place_2 inputs consistent Env inputs transpose_view add_in_place_2 inconsistent Env consistent inputs add_in_place_3 Env inputs transpose_view consistent add_in_place_3 Env add_in_place inputs transpose_view sigmoid consistent inconsistent replace_validate replace Env add_in_place inputs transpose_view add dot sigmoid consistent inconsistent replace Env add_in_place inputs transpose_view add dot sigmoid consistent inconsistent optimize Env add_in_place inputs add dot consistent replace Env add_in_place inputs transpose_view inconsistent Env add_in_place inputs add optimize Env FailureWatch inputs transpose_view add dot consistent replace Env add_in_place inputs transpose_view inconsistent optimize Env inputs consistent inconsistent Env add_in_place inputs transpose_view add dot consistent inconsistent replace_validate optimize Env add_in_place FailureWatch inputs add dot sigmoid consistent replace Env add_in_place inputs sigmoid MyConstant consistent replace Env add_in_place inputs transpose_view sigmoid MyConstant consistent owner isinstance function compiledir ones fmatrix system shared sum cache_optimizations mode function NotImplementedOp f ifelse VM_Linker generic notimpl scalar function NotImplementedOp print IfElseIfElseIf f ifelse eq array ifelseifelseif notimpl scalar accept accept Mode T function zip OpWiseCLinker make_depends matrix deepcopy asarray Container scalar zeros get_test_value zeros get_test_value as_tensor_variable shared get_test_value zeros compute_test_value get_test_value log ones compute_test_value vector get_debug_values compute_test_value vector get_debug_values compute_test_value vector get_debug_values zeros compute_test_value vector get_debug_values compute_test_value debug_error_message pre_greedy_local_optimizer signature pre_constant_merge hash SliceConstant matrix make_dependence_cmp dot zip io_toposort matrix dot matrix sort_apply_nodes zip _toposort list range f function astype dot give_variables_names matrix dot give_variables_names matrix FunctionGraph dot give_variables_names variables matrix append enumerate OrderedDict hash_from_dict vector limit vectors function assert_raises f scalars ifelse append cxx cxx VM_Linker time_linker time_numpy cxx VM_Linker time_linker vector f function mode asarray collect getrefcount print CudaNdarray sum range flush vector function collect print f sin range flush print time_linker print time_linker vector Mode f function Mode tanh excluding function f storage_map get_mode cosh scalar len startswith split function __module__ __version__ platform device compiledir ones f call getenv prefix shared range floatX synchronize version ldflags show_config time print __file__ any execute join sync time function init_dev myThread print astype fn start shared int read sysconf POINTER c_float CUDAMatrix gpudata ndim cudamat copy cast range int value from_gpu_pointer tuple shape append communicate print exit dirname abspath Popen print time f range vector seed tanh function floatX print astype openmp evalTime print get_password getpass post eval raise_for_status set_password input post format dumps text post raise_for_status loads encode get raise_for_status format get raise_for_status format POINTER c_float CUDAMatrix reduce ndim cudamat copy gpudata shape garray cast range int value from_gpu_pointer tuple shape _base append range len _is_cuda ndarray isinstance _is_sparse _is_gpua pop stack func name remove isfile replace _replace_npy_types property property op isinstance dtype GPUArray copy ndim shape range int from_gpu_pointer tuple gpudata shape append dtype asarray floatX join len range split STARTUPINFO fileno devnull Popen open communicate devnull PIPE subprocess_Popen open generate_tokens readline StringIO process_tokens endswith join list write close map getvalue splitlines run unified_diff Reindenter StringIO get get get insert communicate executable Popen split list filter truth split run_mercurial_command run_mercurial_command run_mercurial_command run_mercurial_command join remove is_merge get_correct_indentation_diff get_file_contents save_commit_message get_parse_error add_argument changed_files skip_after_failure filter save_skip_next_commit ArgumentParser added_files append parse_args save_diffs print str write stdin stdout getopt check write usage Reindenter run join print close copyfile run listdir Reindenter open len asarray function cudamat_to_cudandarray fmatrix rand copy cudandarray_to_cudamat ii gpu_from_host CudaNdarray gpu garray_to_cudandarray cudandarray_to_garray ftensor3 array asarray function garray_to_cudandarray astype gpu_from_host CudaNdarray cudandarray_to_garray ftensor3 gpu test2 test T view reshape may_share_memory rand may_share_memory csc_matrix eye asarray function pycuda_op fmatrix rand PycudaElemwiseSourceModuleMakeThunkOp elemwise_op including host_from_gpu pycuda_op_thunk Elemwise PycudaElemwiseSourceModuleOp zeros_like astype float32 multiply_them Out In SourceModule get_function astype float32 multiply_them shape CudaNdarray zeros SourceModule get_function int asarray view print getrefcount tuple from_gpu_pointer astype float32 gpudata shape CudaNdarray zeros append zeros to_gpuarray asarray zeros to_cudandarray arange cos pi sqrt zeros range T owner inputs outputs odtype GpuMultinomialFromUniform ivector function dot_modulo fn lmatrix iscalar str warn dtype new ndim __class__ op output_type hasattr isinstance op as_tensor_variable getattr CudaNdarray ndarray isinstance property as_cuda_ndarray_variable tuple CudaNdarrayType floatX CudaNdarrayType floatX CudaNdarrayType floatX CudaNdarrayType floatX CudaNdarrayType floatX CudaNdarrayType floatX CudaNdarrayType floatX toposort iteritems str isinstance print name input_storage type any startswith sum __name__ values enumerate as_scalar constant dtype dimshuffle subsample gpu_alloc_empty shape_i op warn upcast border_mode shape precision get_out_shape gpu_contiguous dtype dimshuffle subsample gpu_alloc_empty shape_i op warn upcast border_mode shape precision get_out_shape gpu_contiguous shape gpu_contiguous gpu_alloc_empty as_tensor_variable shape gpu_contiguous gpu_alloc_empty as_tensor_variable gpu_contiguous isinstance subsample direction_hint inputs op border_mode broadcastable patternbroadcast dnn_conv isinstance subsample direction_hint inputs op border_mode broadcastable patternbroadcast dnn_conv gpu_alloc_empty list gpu_alloc inputs gpu_alloc_empty list gpu_alloc inputs gpu_alloc_empty list gpu_alloc inputs ds inputs op isinstance dnn_pool isinstance padding ds inputs op st gpu_contiguous mode ds inputs op isinstance isinstance padding ds inputs op st gpu_contiguous mode isinstance padding ds inputs op st gpu_contiguous mode dimshuffle isinstance op as_cuda_ndarray_variable gpu_contiguous tensor_format owner dimshuffle mode gpu_contiguous new_softmax_node GpuDnnSoftmax dimshuffle isinstance inputs op append gpu_contiguous dnn_gradinput dnn_gradweight isinstance op filter_flip dnn_conv _logical_scalar inputs enumerate perform gpu_flatten axis host_from_gpu gpu_from_host GPUArray complex64 copy ndim range bptrs gpudata _global_cublas_handle complex64 shape lower cublasCgemmBatched max shape batched_complex_dot reshape dimshuffle set_subtensor reshape shape eq cufft cast mult_and_reduce zeros cuifft mod set_subtensor reshape ifelse shape eq cufft cast mult_and_reduce zeros cuifft all isinstance inputs op any all isinstance inputs op any all isinstance inputs op any print shape zeros max range join flatbody manner_fn manner_init locals manner_fn set_version append check_chain scalar_op isinstance Composite any get_all_basic_scalar GpuElemwise all scalar_op isinstance make_node split_huge_add_or_mul owner set new_op any GpuElemwise owner scalar_op isinstance all split_huge_add_or_mul inputs op new_op len_splits isinstance GpuSplit reduce op Split new_op as_cuda_ndarray_variable __add__ DimShuffle owner GpuDimShuffle isinstance inputs op input_broadcastable new_order owner SpecifyShape op isinstance Dot dimshuffle GpuDimShuffle isinstance inputs op new_op any as_cuda_ndarray_variable set_trace warning all gpu_ifelse isinstance n_outs reduce op outputs IfElse host_from_gpu as_cuda_ndarray_variable type __add__ range len isinstance inputs op Dot22 any isinstance inputs op any BatchedDot Dot22Scalar isinstance inputs op any isinstance inputs op any Solve inputs op isinstance inputs op isinstance Gemm inputs op isinstance axis host_from_gpu patternbroadcast dimshuffle new_greduce shape_of greduce broadcastable as_cuda_ndarray_variable append range scalar_op GpuCAReduce inputs op stack zip isinstance supports_c_code print reshape ndim CAReduce op isinstance Reshape inputs op broadcastable as_cuda_ndarray_variable patternbroadcast isinstance outdim inputs op Flatten Subtensor isinstance inputs op any inputs op isinstance isinstance inputs op warn GpuAdvancedIncSubtensor1 active_device_number GpuAdvancedIncSubtensor1_dev20 as_cuda_ndarray_variable set_instead_of_inc isinstance inputs op tag astype cast getattr host_from_gpu as_cuda_ndarray_variable Shape inputs op isinstance Rebroadcast op isinstance inputs asarray old_op global_fn isinstance inputs op __class__ Print isinstance inputs op outputs any host_from_gpu gpu_from_host append range len Elemwise specific_out Scalar Identity dtype isinstance inputs op cast as_cuda_ndarray_variable CrossentropySoftmaxArgmax1HotWithBias isinstance inputs op cast CrossentropySoftmax1HotWithBiasDx as_cuda_ndarray_variable Softmax inputs op isinstance isinstance inputs op as_cuda_ndarray_variable SoftmaxWithBias conv2d_fft broadcastable kshp imshp patternbroadcast op isinstance op isinstance isinstance inputs op broadcastable gpu_from_host host_from_gpu GpuConvOp_from_ConvOp gpu_conv patternbroadcast ConvOp dimshuffle subsample inputs border_mode broadcastable as_cuda_ndarray_variable patternbroadcast gpu_contiguous conv3d_fft get_scalar_constant_value dimshuffle gpu_from_host conv3d_fft get_scalar_constant_value dimshuffle conv3d_fft get_scalar_constant_value dimshuffle get_scalar_constant_value op isinstance dimshuffle get_scalar_constant_value dimshuffle isinstance op gpu_contiguous get_scalar_constant_value gpu_contiguous dimshuffle GpuDownsampleFactorMax inputs ignore_border ds ds inputs ignore_border GpuDownsampleFactorMaxGrad GpuDownsampleFactorMaxGradGrad DownsampleFactorMaxGradGrad isinstance inputs op ds ignore_border all isinstance gpu_join inputs op Join host_from_gpu dict cuda_ndarray hasattr ptr_int_size get_device_type_sizes ndim owner inputs op max_inputs_to_GpuElemwise append range len all zip gpu_alloc host_from_gpu broadcastable patternbroadcast patternbroadcast broadcastable op isinstance any op isinstance type isinstance name type Constant isinstance clone zip name owner op isinstance n_sit_sot outputs gpu_reconstruct_graph FunctionGraph hash cmodule_key_ inputs op info zip type n_mit_mot deepcopy make_node isinstance n_seqs clone n_mit_sot any n_shared_outs n_nit_sot values_eq_approx host_from_gpu append _owner_isinstance _clear_host_from_gpu owner inputs _clear_host_from_gpu owner inputs gpu_sparse_block_gemv_inplace gpu_sparse_block_outer_inplace list isinstance TensorType inputs op conv broadcastable as_cuda_ndarray_variable type patternbroadcast dimshuffle subsample inputs border_mode as_cuda_ndarray_variable gpu_contiguous filter_flip inputs broadcastable as_cuda_ndarray_variable patternbroadcast gpu_contiguous filter_flip inputs gpu_contiguous filter_flip owner op isinstance op isinstance get_scalar_constant_value as_destructive op zeros staticmethod property unpickle_gpu_on_cpu warn property CudaNdarrayType CudaNdarraySharedVariable print _asarray shape len use CudaNdarrayType isinstance CudaNdarraySharedVariable broadcastable copy shape type_support_filter CudaNdarray len any max exists close str compiler_bindir try_flags dnn_version extend include_path library_path active_device_number append Mode f function pycuda_available warn add_tags print_active_device warning str dnn_version select_a_gpu dnn_available test_nvidia_driver1 cnmem gpu_init active_device_number startswith init device_number handle_shared_float32 int print error min zeros handle_shared_float32 remove_tags shared_constructor use tuple list careduce_op tensor_pattern_to_gpu_pattern function dimshuffle asarray print _asarray reshape f f2 op CudaNdarray float32_rtol range len flatten fmatrix function toposort vector function reshape _asarray f tensor3 CudaNdarray verify_grad scalar array f_reshp gpu_alloc_empty f function pfunc shared_constructor _asarray fmatrix rand f get_value ones pfunc shared_constructor _asarray fmatrix rand f get_value ones fmatrix f function rand_cuda_ndarray pfunc shared_constructor _asarray fmatrix rand f pfunc int time toposort RandomState shared_constructor _asarray rand f enumerate pfunc toposort dimshuffle shared_constructor _asarray rand f enumerate fvector pfunc toposort shared_constructor _asarray rand f enumerate fvector pfunc g ones _asarray fmatrix rand f cast pfunc toposort GpuElemwise scalar_op isinstance ones _asarray fmatrix rand lt f op Composite cast get_all_basic_scalar toposort exp asarray function shared_constructor identify_1pexp_bug grad dot f_grad pfunc time exp shared_constructor _asarray rand f CudaNdarray range pfunc time exp shared_constructor _asarray rand f CudaNdarray range pfunc dimshuffle shared_constructor _asarray rand CudaNdarray pfunc dimshuffle shared_constructor _asarray rand CudaNdarray pfunc dimshuffle shared_constructor _asarray rand CudaNdarray pfunc dimshuffle shared_constructor _asarray rand CudaNdarray pfunc dimshuffle shared_constructor _asarray rand CudaNdarray pfunc dimshuffle shared_constructor _asarray rand CudaNdarray pfunc dimshuffle shared_constructor _asarray reshape rand copy CudaNdarray toposort asarray function fmatrix rand shape including host_from_gpu gpu_from_host CudaNdarray shared gpu_join asarray toposort join asarray function shared_constructor ones_like asarray function shared_constructor rand fscalar join ones_like asarray function zeros_like fmatrix rand ones_like asarray function shared_constructor rand f f_gpu fscalar gpu_from_host shared_constructor staticmethod CudaNdarrayType shared_constructor GpuAdvancedSubtensor1 GpuAdvancedIncSubtensor1 GpuSubtensor staticmethod GpuIncSubtensor function shared shared_constructor reshape f copy tensor advanced_inc_subtensor1 empty assert_allclose function shared_constructor reshape ones f copy advanced_set_subtensor1 shared tensor array assert_allclose len function shared_constructor reshape ones f copy advanced_set_subtensor1 shared tensor array assert_allclose inc_subtensor asarray function shared_constructor f fmatrices assert_allclose set_subtensor asarray function shared_constructor f fmatrices function RandomState f gpu_from_host append op_to_test assert_allclose function fmatrix f astype assert_allclose append shared shared_constructor ones shared_constructor zeros print_summary function shared_constructor lvector print f astype including randint range function fmatrix f astype get property Config arange params use uniform range new_filters_expbounds pfunc use_gpu RandomState lvector n_hid grad ft_batchsize mean lr n_terms setattr train_nll isinstance print _asarray fscalar rng_seed get_default_mode DebugMode cmp cmp cmp cmp shared_constructor staticmethod pfunc dmatrix4 TensorType reshape array Pool pfunc my_rand shared_constructor ds_op Lop grad shuffle copy as_tensor_variable sum Pool zeros sum range zeros py_conv_pad_img py_conv_pad_img list map isinstance zeros range print py_conv str time asarray function ones _asarray reshape rand f size print CudaNdarray float range assert_allclose _params_allgood_header enumerate get_shapes get_basic_shapes seed_rng get_valid_shapes _test_valid BaseGpuCorrMM get_shapes2 _test_valid _test_valid assert_raises conv2d function dnn_available ftensor4 seed_rng get_basic_shapes _test_full _test_full BaseGpuCorrMM _test_full seed_rng exec_conv _test_subsample excluding _test_subsample BaseGpuCorrMM including _test_subsample py_conv function _asarray transpose rand f assert_allclose range excluding function _asarray rand grad extend f conv2d zip sum assert_allclose exec_conv seed_rng function f astype shared ConvOp CudaNdarray _asarray rand asarray time isinstance _asarray rand copy CudaNdarray time exp _asarray rand copy shape CudaNdarray deepcopy _asarray rand copy CudaNdarray _asarray rand deepcopy copy seed_rng T RandomState dimshuffle randn _asarray dot CudaNdarray fetch_seed _asarray reshape reduce_sum CudaNdarray sum seed_rng RandomState bad_subtest subtest fetch_seed subtest asarray view _asarray _set_stride _strides shape CudaNdarray range len CudaNdarray zeros deepcopy view _asarray rand _set_stride _strides CudaNdarray CudaNdarray _asarray rand CudaNdarray _asarray rand asarray asarray slice _asarray rand _cmpfV _cmp CudaNdarray _cmpf CudaNdarray _asarray rand dot CudaNdarray _asarray CudaNdarray _asarray CudaNdarray _asarray arange resize CudaNdarray _asarray arange resize CudaNdarray _asarray arange resize CudaNdarray _asarray arange resize CudaNdarray _asarray arange resize arange _asarray reshape resize CudaNdarray arange _asarray reshape resize CudaNdarray arange _asarray astype resize CudaNdarray zeros zeros range reshape zeros zeros function f astype as_tensor_variable toposort function f astype shape ftensor4 dnn_conv toposort function gpu_alloc_empty f astype shape ftensor4 dnn_conv shape reshape pool_2d_i2n images2neibs set_subtensor reshape shape pool_function alloc function product pool_2d_i2n fc fg astype grad mean pool_2d including ftensor4 verify_grad sum max assert_allclose __array__ function set_value pool_2d_i2n shared astype fn including ftensor4 verify_grad array assert_allclose __array__ realpath dirname function __array__ product fc fg astype grad mean pool3d2d including verify_grad sum max assert_allclose dnn_pool function fmatrix f grad pool_2d zeros sum GpuDnnSoftmaxGrad GpuDnnSoftmax function addHandler logging_default_handler StreamHandler pool_2d on_opt_error removeHandler ftensor4 StringIO dnn_conv ftensor4 excluding asarray function zip f2 assert_allclose astype grad ftensor4 f1 sum dnn_conv excluding asarray function zip TensorType f2 astype grad t dnn_conv3d f1 sum assert_allclose asarray function dnn_conv ftensor4 asarray function dnn_conv ftensor4 verify_grad astype chain product get_conv3d_test_cases get_conv3d_test_cases toposort join function shared_constructor astype shared_constructor astype toposort function fvector function fvector theano_allocated cuda_ndarray hasattr collect outstanding_mallocs mem_info vector asarray freemem function obj randn print reshape shared_constructor ones grad dot shape sum prod range vector asarray freemem function obj randn print reshape shared_constructor ones dot shape sum prod range iscalar ProfileMode isinstance copy get_default_mode print_summary print_diff_summary shared_constructor fmatrix print_mode my_rand append shared sum range pfunc toposort grad type enumerate tanh time print _asarray my_zeros get_mode dot fscalar train seed_rng run_nnet max abs_rel_err seed_rng run_nnet seed_rng run_nnet shared_constructor fmatrix print_mode ConvOp dimshuffle my_rand shared_fn logical_output_shape_2d sum range pfunc grad tanh reshape _asarray my_zeros get_mode conv_op dot fscalar train seed_rng run_conv_nnet1 assert_allclose shared_constructor tuple fmatrix print_mode ConvOp dimshuffle my_rand shared_fn logical_output_shape_2d sum range pfunc conv_op1 grad tanh reshape _asarray my_zeros get_mode conv_op dot fscalar train seed_rng assert_allclose run_conv_nnet2 shared_constructor crossentropy_categorical_1hot fmatrix debugprint argmax Pool ConvOp dimshuffle my_rand logical_output_shape_2d shared_fn sum pfunc toposort ds_op conv_op1 grad softmax tanh isinstance reshape my_zeros get_mode conv_op dot fscalar my_randn seed_rng time build_conv_nnet2_classif my_rand print _asarray my_zeros dumps print_mode range seed_rng ProfileMode time build_conv_nnet2_classif set_value my_rand isinstance print _asarray get_value absolute dumps zip float32_atol range assert_allclose cmp_run_conv_nnet2_classif cmp_run_conv_nnet2_classif cmp_run_conv_nnet2_classif cmp_run_conv_nnet2_classif cmp_run_conv_nnet2_classif cmp_run_conv_nnet2_classif cmp_run_conv_nnet2_classif cmp_run_conv_nnet2_classif seed_rng asarray function classify classify_gpu ones lvector fmatrix rand grad dot softmax zeros argmax fvector seed_rng minimum argmax asarray function print fmatrix rand astype abs_rel_err randint cpu_f gpu_f crossentropy_softmax_1hot_with_bias_dx cmp fmatrix softmax_with_bias function excluding GpuSoftmax toposort fmatrix function toposort function fmatrix assert_op any toposort function fmatrix assert_op any fmatrix function gpu_contiguous seed excluding T function assert_raises shared_constructor assert_no_cpu_op astype dot on_opt_error including sum function toposort function dimshuffle ones alloc shared toposort function toposort constant function ones gpu_alloc gpu_from_host zeros iscalar toposort function shared_constructor ones float32 specify_shape fmatrix function astype astype fvector toposort join asarray function constant shared_constructor f toposort join asarray function concatenate shared_constructor cos sin asarray RandomState function concatenate shared_constructor rand f toposort function fmatrix _shared zeros toposort function fvector lvector f gpu_from_host split toposort function fmatrix f astype toposort function fmatrix gt sum toposort function fmatrix f astype sum assert_allclose pfunc toposort f reduce gpu_from_host tensor range gen toposort outs_op function Composite shared_constructor fmatrix f astype float32 int8 bmatrix Elemwise out_op assert_allclose pfunc toposort shared_constructor _asarray fmatrix rand print f enumerate as_cuda_ndarray_variable staticmethod shared_constructor inc_subtensor function print fmatrix dmatrix clients fmatrix function astype seed cmp cmp function fmatrix sparse_block_dot lmatrix ftensor4 ftensor3 function fmatrix sparse_block_dot lmatrix ftensor4 ftensor3 shared_constructor staticmethod function f astype conv2d ftensor4 CURAND_RandomStreams uniform constant function CURAND_RandomStreams normal constant function function print f CURAND_RandomStreams shared debugprint range zeros MRG_RandomStreams toposort function CudaNdarray zeros ftensor3 toposort function shape CudaNdarray zeros ftensor3 optimize lvector fmatrix op FunctionGraph view reshape may_share_memory CudaNdarray zeros Mode function fmatrix f CudaNdarray zeros debugprint optimizer realpath unpickle_gpu_on_cpu dirname realpath unpickle_gpu_on_cpu dirname zeros f32sc f function float32 function host_from_gpu gpu_from_host array fvector toposort iteritems time print impl range enumerate print iteritems showtimes shared_constructor rand compare_fns dict showtimes shared_constructor rand compare_fns dict asarray hasattr isinstance TensorType get_context op getattr transfer GpuArray type pop extendleft hasattr owner isinstance get_context inputs op tag deque type compiler_bindir try_flags extend include_path library_path append version _dnn_check_version avail _dnn_check_compile get_context msg Mode f function as_scalar constant clone astype infer_context_name as_gpuarray_variable infer_context_name as_gpuarray_variable infer_context_name raise_no_cudnn as_gpuarray_variable raise_no_cudnn as_gpuarray_variable raise_no_cudnn padding as_gpuarray_variable ds inputs st raise_no_cudnn gpu_contiguous mode context_name as_gpuarray_variable raise_no_cudnn raise_no_cudnn gpu_contiguous dimshuffle raise_no_cudnn as_gpuarray_variable raise_no_cudnn _is_scalar empty dtype_to_ctype dtype_to_ctype dtype_to_ctype fgraph shape_i list inputs op TensorType type isinstance owner op isinstance get_context GpuAlloc context_name asarray op isinstance infer_context_name name GpuReshape op ndim GpuReshape outdim op as_tensor_variable res gpu_cast_op dtype GpuElemwise scalar_op isinstance Scalar name as_gpuarray_variable inputs op res host_from_gpu append Cast outputs len type isinstance type isinstance as_gpuarray_variable context_name clients isinstance as_gpuarray_variable append type gpu any inplace destroyhandler_tolerate_aliased op tag idx_list getattr GpuIncSubtensor set_instead_of_inc dtype inputs upcast device_properties cast active_device_number set_instead_of_inc scalar_op isinstance supports_c_code reshape get_context inputs op ndim axis stack shape_of greduce host_from_gpu append range enumerate fgraph shape_i warning as_gpuarray_variable inputs list isinstance as_gpuarray_variable inputs type name TensorType type isinstance get deepcopy make_node cmodule_key_ clone n_sit_sot n_mit_sot hash info n_nit_sot gpu_reconstruct_graph FunctionGraph n_shared_outs n_seqs n_mit_mot infer_context_name iteritems dtype get_context GpuArrayType ndim array unpickle_gpu_on_cpu get_context warn _name_for_ctx context get_context total_gmem print min warn preallocate api_version reg_context print_active_device version init startswith empty pop rand floatX asarray function fmatrix rand f host_from_gpu array asarray function fmatrix rand f host_from_gpu array empty excluding toposort asarray function fmatrix rand gpu_contiguous iscalar staticmethod vector function f astype dot matrix assert_allclose dot matrix asarray function f2 f1 GpuDnnSoftmaxGrad GpuDnnSoftmax vector function f astype assert_allclose excluding vector matrix function dot function f astype dot matrix assert_allclose assert_allclose assert_allclose softmax_with_bias_unittest_template softmax_with_bias_unittest_template softmax_with_bias_unittest_template vector function softmax_with_bias cmp matrix softmax_unittest_template softmax_unittest_template softmax_unittest_template cmp function matrix softmax reshape f astype tensor3 assert_allclose toposort function fmatrix f kind astype assert_allclose toposort function ones alloc zeros iscalar toposort function iscalar toposort function dimshuffle fmatrix f astype unbroadcast staticmethod floatX matrix function floatX assert_allclose astype f_gpu f_cpu matrix scalar toposort gpuarray_shared_constructor outs_op function asarray Composite fmatrix f astype float32 int8 bmatrix Elemwise out_op assert_allclose on_opt_error ivector function ftensor4 realpath unpickle_gpu_on_cpu dirname realpath unpickle_gpu_on_cpu dirname rand_gpuarray f function rand_gpuarray asarray copy rand_gpuarray f function specify_shape shared_constructor shared function array realpath unpickle_gpu_on_cpu dirname owner hasattr is_hint_node hints add_hint is_hint_node get debug get_scalar_constant_value str owner inputs op isinstance inputs op isinstance is_symmetric lower inputs op isinstance is_psd T inputs cholesky clients inputs op isinstance inputs is_positive inputs dot range vector asarray function RandomState floatX Rop randn Lop clone grad scan lop_f uniform scan_f fetch_seed matrix sum rop_f vector function RandomState floatX spectral_radius_bound rand astype f eig dot trace fetch_seed matrix range toposort function matrix_inverse isinstance transpose op matrix vector cholesky_upper toposort function isinstance Cholesky solve op cholesky_lower matrix transform owner dmatrix hasattr PerformLinker linker f get_mode seed function floatX fvector fmatrix f astype assert_allclose iscalar seed function floatX fvector fmatrix f astype iscalar dirname abspath fmatrix run_with_c cuda_available fvector run_with_c cuda_available fmatrix dmatrix dvector fvector ones_like function reshape fmatrix f frow gpu_from_host fvector g function f uniform append fetch_seed MRG_RandomStreams function f flatten uniform append array range MRG_RandomStreams function new f copy flatten ff_2p134 append shared array range ff_2p72 asarray function new f flatten ff_2p134 append shared array range ff_2p72 data float32_shared_constructor function new f copy as_tensor_variable flatten ff_2p134 ff_2p72 append frombuffer array range mode data float32_shared_constructor function new f as_tensor_variable flatten mode ff_2p134 append frombuffer array range ff_2p72 eval_uniform assert_raises MRG_RandomStreams gpuarray_shared_constructor function new f copy as_tensor_variable flatten ff_2p134 append array range ff_2p72 gpuarray_shared_constructor asarray function new f as_tensor_variable flatten ff_2p134 append array range ff_2p72 time asarray hasattr f min mean sqrt array abs max range int RandomStreams asarray function basictest f uniform assert_array_almost_equal gpu_from_host matrix Out MRG_RandomStreams int matrix RandomStreams asarray function basictest f assert_array_almost_equal gpu_from_host binomial Out MRG_RandomStreams normal RandomStreams asarray function basictest f gpu_from_host matrix Out flush MRG_RandomStreams time asarray print f mean shape zeros abs prod range asarray function basic_multinomialtest f apply_along_axis get_mode multinomial uniform gpu_from_host assert_array_almost_equal flush MRG_RandomStreams asarray function basic_multinomialtest zip apply_along_axis get_mode multinomial uniform gpu_from_host flush MRG_RandomStreams MRG_RandomStreams state_updates y function set_value Graph rstate f2 get_value zip f1 assert_array_almost_equal vector function arange ones f grad scan shared sum MRG_RandomStreams ivector asarray function value astype matVecModM fn lmatrix randint max iscalar seed ivector function fn1 uniform mode fn2 append fn3 MRG_RandomStreams function assert_raises f fct debugprint MRG_RandomStreams uniform rng_mrg_overflow randint mode uniform rng_mrg_overflow MRG_RandomStreams gpuarray_shared_constructor asarray partial new rng_mrg_overflow append array range ff_2p72 str make_array dtype Scalar Apply type isinstance _asarray hasattr isinstance all property any warn int_or_true_div ComplexError ComplexError as_scalar floatX dtype ScalarSharedVariable Scalar str grad float32 switch matrix sum grad sum grad tensor_copy imatrix InRange function f grad op fscalar assert_allclose make_function SymPyCCode FunctionGraph op SymPyCCode grad op SymPyCCode grad op safe_new function allow_gc Scan variable isNaN_or_Inf_or_None outputs Constant warning _get_test_value unbroadcast wrap_into_list max abs iteritems name OrderedDict local_op getattr append range get update remove_dimensions OrderedUpdates get_scalar_constant_value expand_empty shape_padleft expandable_types inputs expanded_inputs set zip type enumerate minimum int isinstance min clone as_tensor_variable fn filter any traverse as_tensor get_updates_and_outputs len op fn_time local_time join join n_sit_sot outputs Constant OrderedDict append range inputs op zip info n_mit_mot enumerate deepcopy isinstance n_seqs clone extend index nwScan n_mit_sot Scan n_shared_outs n_nit_sot len OrderedDict zip inner_in_seqs inner_inputs tuple make_equiv outputs mit_sot_in_slices has_duplicates outer_in_sit_sot outer_inputs OrderedDict outer_out_mit_mot inner_outputs mit_mot_out_slices append outer_in_non_seqs mit_mot_in_slices inner_in_sit_sot inputs op inner_out_mit_mot inner_in_mit_mot outer_in_shared zip info outer_in_mit_sot inner_in_non_seqs outer_in_mit_mot inner_in_mit_sot outer_in_seqs clone index scan_args inner_in_shared Scan data deepcopy isinstance name ScalarVariable astype copy as_tensor_variable tag Constant get_test_value __class__ type CudaNdarrayType isinstance inputs add as_tensor_variable set gpu_from_host type iteritems isinstance items list isinstance rebuild_collect_shared warn list optimize disown TopoOptimizer inputs map clone set outputs zip FunctionGraph list map_variables dict zip chain is_outputs is_updates is_condition list isnan get_scalar_constant_value isinstance isinf set_subtensor owner compare_nodes set zip range len zip ShapeFeature local_traverse set_shape on_attach append FunctionGraph len inputs n_sit_sot n_mit_sot n_seqs range enumerate n_mit_mot OrderedDict as_while n_seqs range len isinstance inputs Apply outputs io_toposort isinstance inputs clone OrderedDict Constant zip property local_traverse set isinstance scan RandomStreams scan outputs rebuild_collect_shared inputs toposort time inc_subtensor function print reshape f f_fn scan fn iter shared matrix next array range seed tanh time inc_subtensor function floatX print reshape f astype f_fn scan dot fn shared matrix range seed tanh time inc_subtensor function floatX print reshape f astype dot fn shared f_fn range compute_test_value vector arange ones grad scan shared sum compute_test_value vector ones reshape grad scan shared sum compute_test_value asarray reshape grad scan as_tensor_variable exception_verbosity array fvector compute_test_value floatX astype grad scan shared matrix sum array on_opt_error scan max_and_argmax matrix Apply Variable isinstance data _is_sparse toarray isinstance indptr conv_csr op shape DenseFromSparse conv_csc append _is_sparse_variable csm_properties csm_properties property property property SparseType as_sparse_variable hasattr _is_sparse_variable as_tensor_variable as_sparse_or_tensor_variable astype _is_sparse_variable upcast upcast as_sparse_variable hasattr _is_sparse_variable as_sparse_variable hasattr _is_sparse_variable csm_indices csm_indptr sdgcsx as_sparse_variable hasattr _is_sparse_variable inputs new_op __class__ upcast DenseFromSparse op isinstance csm_properties inputs dtype inputs upcast csm_properties _is_sparse_variable CSC csm_indptr mul_s_d_csx inputs CSR csm_indices csm_data _is_sparse_variable inputs CSR csm_properties mul_s_v_csx _is_sparse_variable inputs CSR csm_properties structured_add_s_v_csx _is_sparse_variable csm_properties inputs sampling_dot_csr property deepcopy format SparseType set register T ones reshape size dot flatten int64 stack conv_eval prod max T ones reshape size int64 stack conv_eval prod hasattr int lil_matrix __setitem__ tuple rand random_integers range data dtype floatX _asarray randint range nnz csc_matrix eye function tocsr f f_ sdot structured_dot function floatX size check astype sparse_formats getattr sparse _format_info __name__ all_dtypes capitalize get_expected_dtype stack_function enumerate append csr_matrix vector data function floatX random_lil f indptr indices shape get_default_mode including CS cast csm_properties vector Mode data function floatX random_lil f grad indptr indices shape including CS cast get_default_mode sum function mul_s_d sparse_formats including get_default_mode get_default_mode function including mul_s_v get_default_mode function structured_add_s_v including function sampling_dot including ldflags get_default_mode function f op dense_from_sparse including get_default_mode matrix data rand astype float32 indices as_tensor_variable indptr eval int32 assert_allclose sparse as_sparse_format variable random_integers sparse_formats getattr array lvector asarray scalar csr_matrix asarray append hash_from_sparse rand as_sparse_format append append getattr hasattr hasattr dimshuffle isinstance Scalar tensor_from_scalar Apply default_output type asarray ndarray isinstance _asarray TensorType autocast_int copy rtype autocast_float len signature constant_or_value constant _asarray asarray _get_atol_rtol complex data get_constant_idx tuple perform Shape_i ndarray owner python_all broadcastable get_vector_length scalar_op inputs op ScalarOp int isinstance Second ndim idx_list Type unique_value pop TensorType TensorType TensorType TensorType TensorType TensorType TensorType assign FunctionPrinter __oplist_tag as_tensor_variable list isinstance ndim as_tensor_variable broadcastable append range enumerate makeKeepDims _max_and_argmax makeKeepDims makeKeepDims str dtype as_tensor_variable str dtype as_tensor_variable sgn bitwise_not bitwise_and isnan eq isinf le abs bitwise_or fill dtype constant dtype floatX floatX tuple _nonzero Tri floatX Eye floatX _others trans append makeKeepDims makeKeepDims makeKeepDims list isinstance ndim as_tensor_variable shape cast true_div sum range list isinstance ndim mean range sqrt var neq int_div dtype cast tensor_from_scalar get_scalar_constant_value name list range ndim Split flatten ndim slice as_tensor_variable as_tensor_variable insert format ndim as_tensor_variable list all map warn upcast str isinstance ndim as_tensor_variable start extract_constant stop debugprint step get_vector_length op Reshape as_tensor_variable tuple addbroadcast reshape python_all list dimshuffle assertTrue reshape ndim as_tensor_variable flatten alloc ge max len dtype list str map upcast ARange startswith int dimshuffle concatenate slice insert reshape len ndim dot isscalar range enumerate flatten makeKeepDims makeKeepDims isinstance min max as_tensor_variable list range ndim as_tensor_variable T ones any float gemv any warning append listdir split all dimshuffle floatX broadcastable gemm_no_inplace res_is_a inputs dimshuffle _is_real_vector all dimshuffle mul scaled _is_real_matrix inputs broadcastable append list _beta_L_plus_alpha_M isinstance extend as_tensor_variable append range len _gemm_from_factored_list time _factor_canonicalized _gemm_canonicalize type inputs info T inputs gemv_no_inplace dimshuffle dtype get_scalar_constant_value dimshuffle inputs ger zeros T asarray dimshuffle gemv_no_inplace ger inputs as_tensor_variable broadcastable zeros setup_z_Nz_Sz dtype _dot22scalar remove _as_scalar inputs index copy cast info enumerate debugprint try_compile_tmp list inputs join try_compile_tmp tested debug startswith info append dedent split fix_works detect_macos_sdot_bug fix_works detect_macos_sdot_bug zip enumerate list locals reversed zip max enumerate replace len upper startswith zip enumerate get list setdefault len reversed zip loop_over range enumerate locals list len reversed openmp_elemwise_minsize dict zip append range enumerate get list setdefault len reversed zip loop_over range enumerate inc_subtensor all maximum assert_op Assert cast zeros max dimshuffle flatnonzero list arange insert reshape ndim as_tensor_variable flatten zeros set_subtensor replace endswith assign getattr __class__ __doc__ FunctionPrinter Elemwise transfer_type __name__ list range ndim op isinstance op isinstance dot as_tensor_variable eig staticmethod eigh staticmethod isinstance zeros_like zip append type qr staticmethod qr staticmethod isinstance svd staticmethod dot range abs sum ndim as_tensor_variable getattr tag LocalOptGroup TopoOptimizer __name__ LocalOptGroup TopoOptimizer __name__ fill append get_scalar_constant_value dtype hasattr as_tensor_variable shape cast alloc unbroadcast register register register register constant assert_ eq warning type transform owner owner apply_local_dimshuffle_lift copy_stack_trace inputs op append inputs copy_stack_trace copy_stack_trace op new_op input_broadcastable __class__ new_order op isinstance TensorFromScalar ScalarFromTensor op isinstance update transform owner fill inputs op clients append fgraph broadcast_like inputs copy_stack_trace inputs AllocEmpty op isinstance shape_feature make_vector_shape copy_stack_trace shape_feature int list value get_scalar_constant_value copy_stack_trace isinstance op map make_vector idx_list outputs integer isinstance copy_stack_trace op extract_constant TensorConstant Elemwise dtype copy_stack_trace op cast alloc is_inverse_pair scalar_op isinstance get_scalar_constant_value isinstance copy_stack_trace op append assert_ dtype get_scalar_constant_value scalar_op isinstance all shape_padleft copy_stack_trace shape_i inputs op ndim cast alloc broadcastable Elemwise append get_scalar_constant_value all copy_stack_trace idx_list get_idx_list outputs outputs advanced_inc_subtensor1 owner copy_stack_trace Subtensor isinstance copy_stack_trace subtens inputs op idx_list get_idx_list outputs collapse len list value get_scalar_constant_value isinstance get_constant_idx Variable inputs op map Constant shape_of any stop maxsize enumerate all dimshuffle copy_stack_trace isinstance Rebroadcast len inputs op ndim outputs idx_list broadcastable Elemwise range append enumerate minimum switch and_ pre_greedy_local_optimizer lt pre_constant_merge maximum warn get_canonical_form_slice gt start ge subtensor_merge_bug eq stop le step Subtensor isinstance merge_two_slices copy_stack_trace subtens inputs op idx_list get_idx_list collapse append make_constant ceil_intdiv zip slice inputs ndim get_canonical_form_slice idx_list get_idx_list start alloc stop append unbroadcast step enumerate copy_stack_trace tuple min inputs ndim dot idx_list get_idx_list __getitem__ len copy_stack_trace op add outputs type copy_stack_trace destroyhandler_tolerate_aliased tag new_op idx_list outputs getattr __class__ new_op outputs clone_inplace copy_stack_trace get_scalar_constant_value dtype copy_stack_trace eq cast append shape_feature owner isinstance shape_padleft same_shape on_import copy_stack_trace op ndim outputs shape_of advanced_subtensor broadcastable fgraph advanced_subtensor1 items list all Rebroadcast isinstance copy_stack_trace op outputs update owner copy_stack_trace inputs op copy axis outputs transform owner join get_scalar_constant_value copy_stack_trace inputs outputs broadcastable append patternbroadcast range len join copy_stack_trace inputs op outputs append range len expm1 inputs cast dtype copy_stack_trace outputs cast extract_constant alloc fill mul owner copy_stack_trace inputs outputs enumerate outputs owner op copy_stack_trace scalar get_vector_length Tile get_scalar_constant_value dimshuffle isinstance copy_stack_trace op ndim outputs range isinstance copy_stack_trace inputs op Split assert_op outputs eq op op isinstance Reshape patternbroadcast op broadcastable inputs op isinstance Reshape isinstance print op outputs Sum isinstance Variable encompasses_broadcastable inputs op broadcastable append dtype all multiply _asarray reduce upcast mul isinstance size inputs op append dtype list Prod all isinstance true_div axis op ndim inputs warn Sum new_order append sum prod range dtype list tuple inputs axis ndim warn opt_type append range owner scalar_op isinstance get_scalar_constant_value tuple reduce_join axis ndim warn append range CAReduce inputs op isinstance dtype list all dimshuffle isinstance scalar_op inputs op axis ndim __class__ broadcastable CAReduce range append mul get_scalar_constant_value isinstance inputs op Sum inputs type get_scalar_constant_value inputs broadcast_like merge_num_denum inv cast fgraph get_constant dtype cast all get_constant dtype int ndarray make_node isinstance sqr get_constant log2 cast append abs range mul asarray inputs get_constant append fill_chain dtype constant get_scalar_constant_value all inputs ndim add append zeros remove list sgn startswith append inputs append get_scalar_constant_value isinstance inputs scalarconsts_rest inputs exp inputs maximum add log1p _asarray reduce all add list starmap zip simplify len get_num_denum list remove distribute_greedy map get_num_denum remove list merge_num_denum attempt_distribution append type constant copy_stack_trace inputs op dict outputs Constant getattr thunk make_thunk type append clients outputs extend switch hasattr pi tag log switch mul get_scalar_constant_value hasattr isinstance len inputs check_input tag pi pow sqrt cast true_div range enumerate list remove copy_stack_trace inputs op __class__ GradClip op isinstance eq inputs zip get_scalar_constant_value get_vector_length constant hasattr isinstance ValueError reduce ndim as_tensor_variable shape stack broadcastable append max enumerate len list zip append range len dtype RandomFunction floatX TensorType upcast as_tensor_variable _infer_ndim_bcast dtype RandomFunction floatX TensorType upcast as_tensor_variable _infer_ndim_bcast RandomFunction print TensorType as_tensor_variable _infer_ndim_bcast ndarray reshape tuple ndim random_integers shape _generate_broadcasting_indices zip max range len TensorType RandomFunction _infer_ndim_bcast as_tensor_variable bool RandomFunction constant isinstance TensorType as_tensor_variable _infer_ndim_bcast split TensorType RandomFunction _infer_ndim_bcast as_tensor_variable int list permutation ndindex item append empty TensorType RandomFunction _infer_ndim_bcast ndarray reshape tuple ndim multinomial shape _generate_broadcasting_indices zip sum max range len RandomFunction T TensorType as_tensor_variable _infer_ndim_bcast RandomFunction _props op shape TensorType dtype len dtype str TensorType _asarray ScalarSharedVariable deepcopy dimshuffle concatenate reshape tuple ndim outer as_tensor_variable flatten flatten flatten list tuple map reversed len switch analyze sgn isinstance lt abs switch_neg_step start extract_constant stop ge step inc_set_subtensor1 IncSubtensor warn flatten alloc list dimshuffle Reshape addbroadcast range op enumerate AdvancedIncSubtensor1 isinstance ndim as_tensor_variable idx_list AdvancedIncSubtensor new_order dimshuffle ndim broadcastable append sum range isinstance as_tensor_variable tuple map shape list clip concatenate ndim as_tensor_variable shape range property equals as_tensor_variable ascontiguousarray function attach_feature compute_shapes tuple ShapeFeature dict any shape_of zip property property tuple isinstance AbstractConv2d as_tensor_variable list TensorVariable isinstance AbstractConv2d_gradInputs as_tensor_variable AbstractConv2d_gradWeights list TensorVariable isinstance as_tensor_variable dimshuffle tensor arange concatenate bilinear_kernel_1D concatenate reshape conv2d_grad_wrt_inputs bilinear_kernel_2D tensor dimshuffle Elemwise elm_bn int list get_scalar_constant_value ConvOp range len copy int print shape zeros range int list slice tuple ndim strides __getitem__ isinstance reshape shape conv2d sum __name__ new_op __class__ copy_stack_trace images2neibs list dimshuffle concatenate reshape as_tensor_variable shape stack new_op copy_stack_trace LogSoftmax sum copy_stack_trace alloc pop copy_stack_trace shape_padleft softmax_with_bias inputs add append append remove softmax_op list zeros_like max_and_argmax crossentropy_softmax_1hot_with_bias zeros_like search_make_one_sub search_make_one_sub inputs copy_stack_trace crossentropy_softmax_1hot_with_bias_dx copy_stack_trace inputs warn outputs _max_and_argmax argmax_pushdown_bug Subtensor owner isinstance inputs op shape_of get_scalar_constant_value AdvancedSubtensor owner isinstance zeros_like copy_stack_trace inputs op transform _check_rows_is_arange_len_labels AdvancedSubtensor mul owner isinstance copy_stack_trace fill inputs op crossentropy_softmax_1hot_with_bias_dx transform enumerate clients inputs op copy_stack_trace shape_feature isinstance or_ same_shape copy_stack_trace inputs op ndim eq shape_of broadcastable dimshuffle reshape sparse_block_dot dot flatten softmax zeros tensordot sparse_block_gemv_inplace copy_stack_trace sparse_block_outer_inplace copy_stack_trace copy_stack_trace copy_stack_trace copy_stack_trace copy_stack_trace inputs conv2d kshp imshp kshp dimshuffle copy_stack_trace subsample inputs dw convGrad3D broadcastable addbroadcast imshp patternbroadcast ConvOp kshp convTransp3D din dimshuffle copy_stack_trace zeros_like subsample inputs broadcastable addbroadcast imshp patternbroadcast ConvOp op isinstance ultra_fast_sigmoid copy_stack_trace dtype constant clip copy_stack_trace hard_sigmoid get_scalar_constant_value identify_1pexp_bug inputs warn scalarconsts_rest allclose is_neg append f inputs owner get_scalar_constant_value inputs allclose enumerate partition_num_or_denom mul inputs sigmoid append is_neg is_mul pop op append enumerate append map isinstance mul isinstance isinstance print is_exp is_neg append enumerate parse_mul_tree copy_stack_trace compute_mul simplify_mul perform_sigm_times_exp neg copy_stack_trace inputs scalarconsts_rest sigmoid _fill_chain get_scalar_constant_value copy_stack_trace inputs sigmoid allclose sum print sigm_canonicalize mul inputs div true_div append str keys warn reshape reversed shape zeros next range function tuple rand propup2 _bvalfromboundary abs propup3 _valfrommode dmatrix4 shape range hstack dmatrix zip time random_sample print reshape zeros array len time function random_sample dmatrix4 print reshape rand hstack dmatrix tuple shape propup2 zip zeros range len str max asarray print tuple min dmatrix zip append zeros sum exec_multilayer_conv_nnet range len list constant assert_raises ones lvector tuple op ftensor4 zeros get_default_mode excluding seed vector function std f astype f_ref mean batch_normalization verify_grad matrix bn_ref assert_allclose seed vector verify_grad function dimshuffle f astype f_ref batch_normalization tensor4 bn_ref assert_allclose conv2d staticmethod floatX conv2d staticmethod tensor4 RandomState arange floatX randn exp dimshuffle astype grad conv2d fetch_seed sum scalar get_diagonal_subtensor_view reshape astype wrap zip shape convolve zeros range op isinstance apply_nodes verify_grad time newconv3d function print conv3d check_diagonal_subtensor_view_traces astype get_value grad gnewconv3d pyconv3d shared sum assert_allclose floatX get_mode matrix FunctionGraph argmax_pushdown_bug optimize vector optimize function softmax_with_bias FunctionGraph argmax_pushdown_bug matrix argmax toposort categorical_crossentropy function arange dvector print lvector fmatrix f astype dmatrix softmax zeros range enumerate fvector verify_grad normal RandomState shared fetch_seed verify_grad normal RandomState shared fetch_seed toposort function RandomState randn f including softmax get_default_mode matrix log RandomState floatX randn astype eval fetch_seed matrix array normal ivector asarray function floatX astype fun_output_tg h_softmax fun_output shared matrix zeros assert_allclose exp RandomState floatX astype where eval fetch_seed matrix assert_allclose function fga grad including tensor4 array zeros assert_allclose function fmatrix sparse_block_dot lmatrix ftensor4 ftensor3 sum function fmatrix sparse_block_dot grad lmatrix ftensor4 debugprint ftensor3 join T tuple reshape op stack signal_conv2d_interface join shape_padright reshape op warn cast Pool as_tensor prod shared_dataset ivector RandomState function MLP grad gen_data mean OrderedDict params including lscalar append matrix get_default_mode dtype __subclasses__ num append array append dtype get_numeric_subclasses op isinstance asarray rand asarray rand random_integers endswith str join dict iteritems copy _asarray true_divide f arccos function asarray combinations rand_of_dtype combinations rand_of_dtype shared floatX asarray print debug abs_rel_err shape function floatX astype tensor3 batched_dot dmatrix result_fn batched_tensordot function floatX astype dmatrix result_fn tensor4 asarray constant function isinstance copy eq nan get_default_mode DebugMode range scalar len function dmatrix dimshuffle _asarray inplace_func dmatrix flatten verify_grad flatten _asarray dscalar inplace_func _asarray inplace_func dmatrix flatten verify_grad partial _asarray inplace_func dmatrix flatten verify_grad partial _asarray inplace_func flatten verify_grad flatten flatten dmatrix tensor4 vector ivector tensor4 RandomState function floatX assert_raises len astype tensor3 imatrix tile fetch_seed matrix iscalar vector tensor4 RandomState floatX grad_tile astype tensor3 fetch_seed matrix smallest inplace_func dvector reshape dmatrix var function reshape function scalars default function scalars default cast_policy dtypes asarray ok float64 asarray ok floatX tensor len make_function fscalars divmod fn fscalars make_function vector switch function shape eq vectors toposort function rand f scalars len vector arange function dvector reshape f dmatrix dtensor3 list function ones f map stacklists vector norm function staticmethod f function tensor4 eval vector f function assert_allclose XYZab print toposort g Dot RandomState isinstance apply_nodes f op inplace_func fetch_seed abs max len just_gemm XYZab g Dot RandomState isinstance apply_nodes f op inplace_func just_gemm fetch_seed abs max vector col row _gemm_canonicalize toposort cscalar function fmatrix dot on_opt_error dscalar just_gemm just_gemm vector my_just_gemm XYZab dot inplace_func RandomState function randn sharedX unrolled_theano update_H uniform zeros update_V sum range print debugprint pp inplace_func inplace_func XYZab toposort function RandomState dot fetch_seed matrix constant RandomState fetch_seed matrix function int_dtypes fmatrix dmatrix dot scalar drow transform owner function f in2out dmatrix local_dot22_to_dot22scalar __class__ get_default_mode dscalar enumerate asarray function f grad dot mean shared matrix zeros common_type range reshape shared staticmethod gemv_no_inplace gemv_inplace gemv_no_inplace gemv_inplace shared staticmethod excluding RandomState _shared staticmethod get_default_mode CGemv CGemv get_default_mode excluding floatX openmp_elemwise_minsize int sqrt ceil excluding map all_types vector ones_like asarray floatX shared clone grad dot uniform tensor sum verify_grad grad clip iscalar TestOp test_op grad Elemwise scalar toposort asarray function fmatrix rand cpu_contiguous iscalar RandomState RandomState ivector f function to_one_hot RandomState ones lvector f function g function dvector ones f dumps range len time function range dvector constant asarray optimize Env ones int_div function print lvector ones f g ivector function dvector ones print dmatrix copy id dot crossentropy_softmax_argmax_1hot_with_bias fill zeros Out ones deepcopy matrix filter recv owner matrix owner send recv decode read Popen matrix owner send recv function function matrix owner send RandomState floatX astype randint pinv fetch_seed matrix RandomState randint dot fetch_seed range matrix_dot RandomState function floatX isinstance f astype qr fetch_seed matrix svd function RandomState floatX astype fn fetch_seed matrix function matrix_inverse f matrix array verify_grad fetch_seed RandomState randn det RandomState function floatX astype fetch_seed matrix RandomState floatX astype fetch_seed verify_grad det RandomState function floatX astype shape fetch_seed matrix vector function RandomState floatX astype trace fetch_seed matrix staticmethod _asarray function lscalar excluding function floatX f astype matrices abs mode matrix sum function grad dscalar iscalar sigm T function dvector rand dmatrix dot excluding function dvector fmatrix f imatrix get_mode fill zmatrix log mode excluding exp function dvector f copy get_mode log mode excluding function astype op including tensor4 matrix toposort set_subtensor function f_shape f specify_shape shape including matrix toposort function f specify_shape int32 matrix __getitem__ enumerate vector normal excluding toposort function floatX sqr astype grad including inplace_increment shared sum scalar excluding set_subtensor function f2 fmatrix astype including f1 assert_allclose toposort function floatX astype tensor3 including matrix iscalar floatX arange function f alloc append tensor zeros __getitem__ function second dvector lvector rand astype dmatrix f fill vector excluding function get_mode mode vector excluding time f1 function print f2 rand get_default_mode range vector excluding arange function get_mode mode vector excluding arange function get_mode mode toposort excluding constant function dvector exp function as_tensor_variable get_default_mode log scalar vector toposort join function f stack matrix vector join toposort asarray function f stack matrix vector join toposort function floatX f scalars MakeVector mv debugprint vector constant owner zeros_like add transform scalar toposort function TensorType scalar_from_tensor tensor_from_scalar f t_type toposort s_type function Scalar tensor_from_scalar scalar_from_tensor f function dimshuffle f lscalar alloc scalar toposort ivector function floatX f_opt astype f_nonopt including matrix split toposort exp function floatX tuple f astype flatten including get_default_mode tensor4 range toposort function including iscalar toposort function floatX reshape f astype including get_default_mode tensor4 function dvector floatX lvector f true_div sum log vector function ones grad assert_op Assert sum optimize op t including FunctionGraph exp function floatX f astype including matrix scalar expm1 toposort function assert_raises f fscalar including alloc get_default_mode iscalar shared ch_f ch_f T RandomState function floatX astype dot cholesky fetch_seed matrix T RandomState floatX astype dot fetch_seed toposort function RandomState floatX grad astype shape fetch_seed matrix sum T RandomState function randn f NoneConst eigvalsh dmatrix assert_array_almost_equal fetch_seed verify_grad T RandomState randn eye fetch_seed expm_f RandomState function floatX expm astype assert_array_almost_equal fetch_seed matrix T RandomState randn fetch_seed verify_grad verify_grad RandomState randn dot fetch_seed diag verify_grad fetch_seed RandomState randn RandomState function RandomState dvector rand f dmatrix argsort ArgSortOp lscalar verify_grad astype floatX make_slice function apply_nodes debugprint iscalar vector function dumps Constant loads NoneTypeT argmax append hash_from_ndarray rand asarray function rand f dmatrix nan_to_num fct assert_allclose function name f dmatrix assert_equal assert_string_equal int microsecond now debug loadTestsFromModule __import__ argv exists stderr range executable open str list sorted getcwd map call devnull append range update set flush join remove time print min write now dict isfile len vector fill_diagonal function RandomState floatX f astype jacobian zeros RandomState function floatX f astype jacobian zeros matrix sum range function RandomState f jacobian uniform scalar vector function floatX astype hessian sum vector function floatX astype jacobian scalar range run append join fnmatch walk list_files check_file relpath relpath print list_files check_file append inputs vector arange RandomState function print sqr true_grads grad dict zip full scalar iscalar eval grad iscalar function f grad scalar iscalar grad iscalar grad iscalar pgrads tanh RandomState function randn sqr true_grads grad subgraph_grad extend dot OrderedDict zip shared sum range fvector toposort function f grad grad_clip scalar shared staticmethod floatX as_tensor_variable function ones reoptimize_unpickled_function fmatrix dumps OrderedDict loads shared sum mode function ones reoptimize_unpickled_function fmatrix dumps OrderedDict loads shared sum mode pydotprint function dvector addHandler f logging_default_handler StreamHandler removeHandler DEBUG setLevel StringIO pydotprint dvector pydotprint dvector addHandler logging_default_handler StreamHandler removeHandler pydotprint_variables DEBUG setLevel StringIO pydotprint excluding function dvector f pydotprint matrix function print matrix replace join function print getvalue including matrix StringIO debugprint dvector scan iscalar zip debugprint split vector scan zip debugprint sum scalar split dvector zip scan split debugprint sum iscalar arange scan zip shared debugprint split dvector zip grad scan split debugprint sum iscalar pydotprint function scan scalar iscalar Record str range getvalue handle_line StringIO Record str range getvalue handle_line StringIO Record str function RecordMode f range getvalue handle_line StringIO iscalar Record str function RecordMode f range getvalue handle_line StringIO iscalar int print fetch_seed seed seed_rng random add dtype asarray std _get_atol_rtol print min strides getvalue absolute shape mean median sum max StringIO property new_op __class__ property ones make_list check_outdated warning list isinstance map zip Tensor batch read_csv_graph_raw read_binary_graph_raw graph print tqdm from_numpy append items list heterograph print read_binary_heterograph_raw tqdm from_numpy append read_csv_heterograph_raw keys read_csv_graph_raw Data read_binary_graph_raw print tqdm from_numpy item append float add_order_info_01 items Data list print read_binary_heterograph_raw tqdm from_numpy append read_csv_heterograph_raw keys join list items print tolist astype float32 tqdm dict int64 repeat rename zip append values load join list items print tqdm dict zip append keys join sorted list items print tolist astype float32 tqdm dict int64 repeat append range keys read_csv values len join sorted list print tqdm dict read_npz_dict append listdir keys range len load list keys join list keys read_csv values join list keys read_csv PygGraphPropPredDataset LinkPropPredDataset get_edge_split eval_metric DglLinkPropPredDataset GraphPropPredDataset graphs cleanup save_split DatasetSaver save_target_labels task_type PygNodePropPredDataset NodePropPredDataset copy_mapping_dir zip DglNodePropPredDataset get_meta_dict DglGraphPropPredDataset print labels save_task_info get_idx_split PygLinkPropPredDataset save_graph_list MolFromSmiles T bond_to_feature_vector GetBeginAtomIdx len GetAtoms atom_to_feature_vector dict append GetBonds empty array GetEndAtomIdx list ndarray isinstance from_numpy keys range len list isinstance keys range len int urlopen expanduser normpath join int print urlopen makedirs print maybe_log view model extend range cat view extend tqdm enumerate append range cat len PygGraphPropPredDataset init_model summary_report DataLoader DataParallel tensor dataset argmax remove_checkpoint seed str list checkpointing Adam train_idx filename to sum folds dir_results format create_checkpoint Compose Evaluator dir_save num_vocab eval get_vocab_mapping manual_seed root is_available dir_times checkpoint int load_checkpoint_results total_seconds max_seq_len load_checkpoint makedirs now get_idx_split parameters emb_dim ASTNodeEncoder split train epochs array read_csv len GNN SAGPoolGNN GGNN_Simple DAGNN GAT GuessTokensByOccurrence MostPerfectModel GuessNodeOneToken max_seq_len PerfectModel cpu numpy multicls_criterion long cpu shape numpy ASTNodeEncoder2 num_layer emb_dim ASAP format print append float sum array enumerate len ones edge_index stack zeros cat y encode_seq_to_arr max len nonzero items list decode_arr_to_seq get_vocab_mapping zeros edge_index stack cat save remove load load_state_dict load to glorot _param_init isinstance named_parameters modules ParameterList data glorot_uniform isinstance zero_ Linear uniform_ sqrt size prod ones zeros any arange LongTensor __setattr__ edge_index top_sort num_nodes assert_order tolist max range __setattr__ stack LongTensor | vthost/DAGNN | 4,046 |
vub-dl/u-cmab | ['causal inference'] | ['Optimising Individual-Treatment-Effect Using Bandits'] | u_cmab/static_UM.py u_cmab/plot.py simulation_code/simulation.py u_cmab/linucb.py u_cmab/fourier.py simulation_code/polynomial_base.py u_cmab/data_test.py simulation_code/sine_base.py u_cmab/__init__.py simulation_code/__init__.py Polynomial_Base Simulation Sine_Base plot plotter make_cool_plot Train qini Fourier LinUCB offlineEvaluate MAB plot_results Static_UM subplots set_text set_fontfamily set_fontsize FontProperties calc legend append range plot set_tick_params set_size_inches UpliftEval text set_yticks average set_xticks fill_between std len calc subplots UpliftEval subplots plot UpliftEval calc range len set_size_inches set_fontsize set_text FontProperties set_yticks set_linewidth set_zorder set_xticks get_lines set_color set_tick_params set_fontfamily set_dashes update play append zeros range subplots plot text set_xlabel set_yticks axis axvline set_ylabel set_xticks linspace set_color legend append fill_between get_xticks range len | vub-dl/u-cmab | 4,047 |
vuducnghia/attention-ocr | ['optical character recognition'] | ['Attention-based Extraction of Structured Information from Street View Imagery'] | run.py metrics.py image_util.py data_generator.py generate_images.py predict.py config.py vocabulary.py model.py Generator random_font random_background generate_image rand_padding ImageUtil display_validate loss_function Model Attention Decoder visual_attention show_origin_image train_step Vocabulary glob truetype list choice list glob convert merge choice randint open random_font int random_background imwrite Draw rand_padding text new mean paste array find categorical_crossentropy logical_not cast argmax equal argmax examples format model print transpose one_hot_decode examples_generator append zeros next range len imshow imread image show_origin_image reshape waitKey imshow range destroyAllWindows len int trainable_variables list gradient apply_gradients zip zeros | vuducnghia/attention-ocr | 4,048 |
vujadeyoon/TensorRT-Torch2TRT | ['stochastic optimization'] | ['Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour'] | main_compare.py main_getTRT.py resnet.py AverageMeterTimeValue AverageMeterStat conv1x1 resnext50_32x4d wide_resnet50_2 ResNet resnet50 resnext101_32x8d Bottleneck resnet152 wide_resnet101_2 conv3x3 _resnet resnet34 resnet18 BasicBlock resnet101 ResNet load_state_dict load_state_dict_from_url | vujadeyoon/TensorRT-Torch2TRT | 4,049 |
vveitch/causal-embeddings | ['causal inference'] | ['Using Embeddings to Correct for Unobserved Confounding in Networks'] | src/language/model/bert_unsupervised.py src/language/bert/optimization.py src/language/data_cleaning/process_PeerRead_abstracts.py src/language/bert/tokenization.py src/relational_ERM/setup.py src/language/model/bert_predictors.py src/relational_ERM/relational_erm/dataset/dataset.py src/relational_ERM/relational_erm/rerm_model/logging.py src/relational_ERM/relational_erm/rerm_model/helpers.py src/relational_ERM/relational_erm/sampling/adapters.py src/relational_ERM/relational_erm/tensorflow_ops/array_ops.py src/relational_ERM/relational_erm/rerm_model/treatment_outcome_predictor.py src/language/ScienceParse/Paper.py src/relational_ERM/relational_erm/sampling/negative_sampling.py src/language/ScienceParse/Review.py src/language/data_cleaning/clean_PeerRead.py src/relational_ERM/relational_erm/tensorflow_ops/dataset_ops.py src/semi_parametric_estimation/pokec_errors.py src/relational_ERM/relational_erm/data_cleaning/pokec.py src/semi_parametric_estimation/ate.py src/relational_ERM/relational_erm/sampling/factories.py src/language/bert/modeling.py src/language/ScienceParse/ScienceParse.py src/relational_ERM/relational_erm/graph_ops/tensorflow.py src/language/data_cleaning/PeerRead_hand_features.py src/language/dataset/dataset.py src/language/model/logging.py src/relational_ERM/relational_erm/tensorflow_ops/__init__.py src/semi_parametric_estimation/PeerRead_estimates.py src/relational_ERM/relational_erm/data_cleaning/simulate_treatment_outcome_baseline.py src/language/model/run_classifier.py src/language/dataset/sentence_masking.py src/relational_ERM/relational_erm/tensorflow_ops/adapter_ops.py src/relational_ERM/relational_erm/graph_ops/representations.py src/language/bert/create_pretraining_data.py src/relational_ERM/relational_erm/data_cleaning/simulate_treatment_outcome.py src/language/ScienceParse/ScienceParseReader.py src/relational_ERM/relational_erm/rerm_model/run_classifier.py src/relational_ERM/relational_erm/graph_ops/structure.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 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 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 _is_punctuation make_extra_feature_cleaning make_label make_input_id_masker make_parser dataset_processing make_input_fn_from_file main make_split_document_labels compose main create_masked_lm_predictions main main get_PeerRead_hand_features process_json_paper _int64_feature bert_process_sentence clean_PeerRead_dataset _bytes_feature _float_feature main paper_to_bert_Example _dict_of_nonlist_numerical_to_tf_features _treatment_outcome_eval_metric_fn _create_unsupervised_only_model _create_or_get_dragonnet _make_feedforward_classifier binary_treat_binary_response_model_fn_builder _get_getter get_masked_lm_output gather_indexes unsupervised_eval_metric_fn label_eval_metric_fn batch_kappa batch_random_agreement make_label_prediction_summaries main main Paper Review ScienceParse ScienceParseReader BuildExtCustom TensorflowExtension _append_to_key add_parser_sampling_arguments get_dataset_fn make_no_graph_input_fn main compose make_input_fn _standardize subset_to_region _edges_in_region load_data_pokec _process_profiles preprocess_packed_adjacency_list process_pokec_attributes _load_profiles preprocess_data main logits_from_load_trained_embeddings simulate_from_pokec_covariates0 alt_simulate_from_continuous_confounder simulate_from_pokec_covariates2 simulate_from_continuous_confounder simulate_y simulate_from_pokec_covariates main logits_from_load_trained_embeddings simulate_from_pokec_covariates0 alt_simulate_from_continuous_confounder simulate_from_pokec_covariates2 simulate_from_continuous_confounder simulate_y simulate_from_pokec_covariates edge_list_to_red_edge_list relabel packed_adj_list_to_red_edge_list adj_list_to_edge_list adj_list_to_red_edge_list directed_to_undirected create_packed_adjacency_list create_packed_adjacency_from_redundant_edge_list redundant_edge_list_to_adj_list PackedAdjacencyList red_edge_list_to_edge_list edge_list_to_adj_list is_connected edge_list_to_adj_mat _get_value _default_embedding_optimizer make_simple_skipgram_loss _make_embedding_variable get_assignment_map_from_checkpoint _default_global_optimizer unsupervised_eval_metric_fn label_eval_metric_fn batch_kappa batch_random_agreement make_label_prediction_summaries _str2bool add_parser_model_arguments _make_global_optimizer _adjust_regularization _linear_warmup _adjust_learning_rate main _make_local_optimizer treatment_response_model_fn_builder _make_feedforward_regressor _make_edge_logits _get_edge_loss _create_or_get_dragonnet_rerm _make_treatment_outcome_eval_metric_fn _make_feedforward_classifier _targeted_regularization _get_getter _rerm_optimizer format_features_labels relabel_subgraph append_packed_vertex_labels padded_batch_samples adapt_packed_subgraph apply_adapter adapt_packed_subgraph_posneg append_vertex_labels make_split_vertex_labels get_edge_index append_sparse_vertex_classes add_sample_size_info adapt_random_walk_window split_vertex_labels append_vertex_vector_features compose adapt_random_walk adapt_random_walk_induced make_psample_induced_dataset make_biased_walk_induced_pos_dataset make_open_ego_dataset make_biased_random_walk_dataset get_unigram_distribution make_biased_walk_induced_dataset get_negative_sample make_uniform_edge_dataset make_dataset tensorboard_hack parallel_dataset make_psample_negative_dataset dataset_names add_negative_sample make_learned_unigram_logits adjacency_to_edge_list adjacency_to_posneg_edge_list get_induced_subgraph _library get_open_ego_network batch_length_to_segment repeat _library packed_to_sparse_index concatenate_slices PSamplingDataset _library UniformEdgeDataset RandomWalkDataset BiasedRandomWalkDataset psi_naive truncate_by_g psi_aiptw _perturbed_model_bin_outcome _cross_entropy psi_tmle_cont_outcome psi_tmle_bin_outcome load_predictor_outputs psi_very_naive main psi_iptw _nonneg_scale main bert_psis_from_tsv bert_psi main rerm_psi_errors rerm_psis_in_output_dir 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 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 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 isinstance PY3 PY2 isinstance PY3 PY2 OrderedDict append strip split category category startswith startswith category ord map shuffle filter repeat make_split_document_labels compose batch Glob extend split enable_eager_execution print input_dataset_from_filenames add_argument make_one_shot_iterator get_next ArgumentParser make_input_fn_from_file parse_args range ones_like not_equal logical_and where gather scatter_nd shape pad cast random_uniform less expand_dims cond proc_dataset datasets_dir TITLE get_most_recent_reference_year get_accepted get_title_len get_num_recent_references get_num_sections get_scienceparse get_num_ref_to_sections get_num_authors get_contains_appendix get_avg_length_reference_mention_contexts get_num_uniq_words get_num_references lower get_num_ref_to_figures get_avg_sentence_length get_num_ref_to_tables get_num_ref_to_theorems get_num_refmentions ABSTRACT get_num_ref_to_equations int sorted format from_json glob TITLE shuffle ID read_science_parse append get_PeerRead_hand_features ABSTRACT update from_json TITLE ID read_science_parse get_PeerRead_hand_features tokenize ABSTRACT append convert_tokens_to_ids len Example _dict_of_nonlist_numerical_to_tf_features _int64_feature bert_process_sentence isinstance isinstance items list _int64_feature isinstance float32 int64 _float_feature sorted format print glob makedirs max_abs_len review_json_dir clean_PeerRead_dataset out_file out_dir parsedpdf_json_dir venue year get_masked_lm_output get_embedding_table get_sequence_output dense l2_regularizer range cast float32 add_loss label_eval_metric_fn cast float32 gather_indexes reshape get_shape_list range gather accuracy mean precision recall argmax mean reshape argmax accuracy do_eval num_train_steps TPUClusterResolver set_random_seed TPUEstimator output_dir do_train do_predict from_json_file label_pred seed eval_batch_size tpu_name input_files_or_glob bert_config_file num_warmup_steps use_tpu predict latest_checkpoint MakeDirs binary_treat_binary_response_model_fn_builder join evaluate PER_HOST_V2 train train_batch_size RunConfig to_json from_softconf_dump extend add_argument ArgumentParser make_sample_generator add_parser_sampling_arguments get_dataset_fn sampler process_pokec_attributes load_data_pokec ConfigProto make_input_fn set_index read_csv split to_datetime isna astype nan join _process_profiles loadtxt _load_profiles create_packed_adjacency_from_redundant_edge_list sort unique concatenate isin copy arange set_index zeros_like savez_compressed print preprocess_packed_adjacency_list copy logical_or unique zeros isin sum max to_pickle values join GraphData ones astype float32 int32 read_pickle PackedAdjacencyList _standardize Day columns astype float32 apply to_timedelta values split edge_list subset_to_region data_dir getcwd preprocess_packed_adjacency_list preprocess_data to_pickle savez_compressed load_variable rvs normal expit min cos astype where float32 uniform int32 binomial sum max normal ones cos astype where float32 mean uniform expand_dims sum std gamma normal expit exp print astype where mean sqrt uniform int32 binomial abs std expit zeros_like where isnan mean uniform binomial process_pokec_attributes simulate_y load_data_pokec zeros sum std enumerate expit where searchsorted binomial process_pokec_attributes simulate_y unique load_data_pokec max expit min where searchsorted mean binomial process_pokec_attributes simulate_y unique load_data_pokec std logits_from_load_trained_embeddings sigmoid binomial argsort unique searchsorted concatenate cumsum append zeros empty range len cumsum lexsort astype empty_like int32 unique require items list concatenate stack repeat arange weights copy lengths repeat neighbours empty len adj_list_to_red_edge_list edge_list_to_red_edge_list stack edge_list_to_red_edge_list shape reshape unique csr_matrix from_scipy_sparse_matrix ones_like not_equal ones squeeze concat where scatter_nd stack cast callable get_or_create_global_step get_variable print update log_softmax f1_score add_argument ArgumentParser constant get_or_create_global_step float32 cast int32 add_parser_model_arguments batch_size treatment_response_model_fn_builder ON_1 Estimator num_vertices use_xla mean simulate_from_pokec_covariates savez std makedirs float32 cast mean_squared_error expand_dims get_variable dense l2_regularizer range value cast float32 add_loss shape squeeze _make_edge_logits _get_value trainable_variables get_or_create_global_step minimize identity assign_add list searchsorted get_neighbours offsets empty range enumerate len cumsum empty_like _make_hidden_constant set_shape shape _make_features_hidden_constant set_shape shape RandomState float32 astype RandomState float32 astype print shuffle repeat range info num_vertices add_negative_sample make_learned_unigram_logits lengths adjacency_list offsets neighbours _constant_hidden_value ones Number isinstance get_variable join load_op_library dirname get_config_var logical_and logit ones_like truncate_by_g zeros_like minimize copy q1 min max clip ones_like truncate_by_g zeros_like square sum q1 psi_naive psi_aiptw logical_not psi_tmle_cont_outcome psi_tmle_bin_outcome psi_very_naive psi_iptw read_csv values sorted format list glob print bert_psis_from_tsv keys bert_psi load join _descale psi_naive psi_aiptw logical_not mean psi_tmle_cont_outcome psi_very_naive psi_iptw read_csv values join sorted list glob print square __len__ rerm_psis_in_output_dir keys rerm_psi_errors | vveitch/causal-embeddings | 4,050 |
vveitch/causal-network-embeddings | ['causal inference'] | ['Using Embeddings to Correct for Unobserved Confounding in Networks'] | src/relational_ERM/tensorflow_ops/dataset_ops.py src/relational_ERM/rerm_model/run_classifier.py src/relational_ERM/graph_ops/structure.py src/relational_ERM/tensorflow_ops/array_ops.py src/relational_ERM/graph_ops/tensorflow.py src/relational_ERM/effect_estimates/process_baseline.py src/relational_ERM/sampling/negative_sampling.py src/relational_ERM/graph_ops/representations.py src/relational_ERM/data_cleaning/pokec.py src/relational_ERM/data_cleaning/simulate_treatment_outcome.py src/relational_ERM/rerm_model/helpers.py src/relational_ERM/sampling/adapters.py src/setup.py src/relational_ERM/data_cleaning/simulate_baseline_sbm_neurips2019.py src/semi_parametric_estimation/ate.py src/relational_ERM/tensorflow_ops/__init__.py src/relational_ERM/tensorflow_ops/adapter_ops.py src/relational_ERM/effect_estimates/compute_ate.py src/relational_ERM/dataset/dataset.py src/semi_parametric_estimation/helpers.py src/relational_ERM/rerm_model/treatment_outcome_predictor.py src/relational_ERM/effect_estimates/exogeneity_plotting.py src/relational_ERM/rerm_model/logging.py src/relational_ERM/effect_estimates/compute_single_ate.py src/relational_ERM/data_cleaning/simulate_treatment_outcome_baseline.py src/semi_parametric_estimation/att.py src/relational_ERM/sampling/factories.py BuildExtCustom TensorflowExtension _append_to_key add_parser_sampling_arguments get_dataset_fn make_no_graph_input_fn main compose make_input_fn _standardize subset_to_region _edges_in_region load_data_pokec _process_profiles preprocess_packed_adjacency_list process_pokec_attributes _load_profiles preprocess_data main main simulate_y simulate_exogeneity_experiment simulate_from_pokec_covariate logits_from_load_trained_embeddings simulate_from_pokec_covariates0 alt_simulate_from_continuous_confounder simulate_from_pokec_covariates2 simulate_from_continuous_confounder simulate_y simulate_from_pokec_covariates ground_truth_and_naive_from_sim_log _make_descale ate_from_rerm_tsv rerm_psi process_exogeneity_experiment main process_covariate_experiment main make_reddit_prop_plt main edge_list_to_red_edge_list relabel packed_adj_list_to_red_edge_list adj_list_to_edge_list adj_list_to_red_edge_list directed_to_undirected create_packed_adjacency_list create_packed_adjacency_from_redundant_edge_list redundant_edge_list_to_adj_list PackedAdjacencyList red_edge_list_to_edge_list edge_list_to_adj_list is_connected edge_list_to_adj_mat _get_value _default_embedding_optimizer make_simple_skipgram_loss _make_embedding_variable get_assignment_map_from_checkpoint _default_global_optimizer unsupervised_eval_metric_fn label_eval_metric_fn batch_kappa batch_random_agreement make_label_prediction_summaries _str2bool add_parser_model_arguments _make_global_optimizer _adjust_regularization _linear_warmup _adjust_learning_rate main _make_local_optimizer treatment_response_model_fn_builder _make_feedforward_regressor _make_edge_logits _get_edge_loss _create_or_get_dragonnet_rerm _make_treatment_outcome_eval_metric_fn _make_feedforward_classifier _targeted_regularization _get_getter _rerm_optimizer format_features_labels relabel_subgraph append_packed_vertex_labels padded_batch_samples adapt_packed_subgraph apply_adapter adapt_packed_subgraph_posneg append_vertex_labels make_split_vertex_labels get_edge_index append_sparse_vertex_classes add_sample_size_info adapt_random_walk_window split_vertex_labels append_vertex_vector_features compose adapt_random_walk adapt_random_walk_induced make_psample_induced_dataset make_biased_walk_induced_pos_dataset make_open_ego_dataset make_biased_random_walk_dataset get_unigram_distribution make_biased_walk_induced_dataset get_negative_sample make_uniform_edge_dataset make_dataset tensorboard_hack parallel_dataset make_psample_negative_dataset dataset_names add_negative_sample make_learned_unigram_logits adjacency_to_edge_list adjacency_to_posneg_edge_list get_induced_subgraph _library get_open_ego_network batch_length_to_segment repeat _library packed_to_sparse_index concatenate_slices PSamplingDataset _library UniformEdgeDataset RandomWalkDataset BiasedRandomWalkDataset ate_estimates psi_aiptw psi_q_only _perturbed_model_bin_outcome ates_from_atts psi_tmle_cont_outcome psi_tmle_bin_outcome psi_very_naive main psi_iptw _perturbed_model psi_aiptw psi_plugin att_estimates psi_q_only psi_tmle psi_very_naive make_one_step_tmle truncate_by_g truncate_all_by_g mse calibrate_g cross_entropy extend add_argument ArgumentParser enable_eager_execution get_dataset_fn make_no_graph_input_fn get_next list add_parser_sampling_arguments squeeze sampler process_pokec_attributes parse_args range make_sample_generator format value mean ConfigProto keys equal time print make_one_shot_iterator load_data_pokec set_index read_csv split to_datetime isna astype nan join _process_profiles loadtxt _load_profiles create_packed_adjacency_from_redundant_edge_list sort unique concatenate isin copy arange set_index zeros_like savez_compressed print preprocess_packed_adjacency_list copy logical_or unique zeros isin sum max to_pickle values join GraphData ones astype float32 int32 read_pickle PackedAdjacencyList _standardize Day columns min astype float32 apply values split edge_list subset_to_region data_dir getcwd add_argument preprocess_packed_adjacency_list ArgumentParser preprocess_data to_pickle savez_compressed astype float32 astype float32 where searchsorted binomial process_pokec_attributes simulate_y unique int32 load_data_pokec astype float32 simulate_y int32 binomial simulate_from_pokec_covariate load_variable rvs normal expit min cos where uniform int32 binomial sum max normal ones cos astype where float32 mean uniform expand_dims sum std gamma normal expit exp print astype where mean sqrt uniform int32 binomial abs std expit zeros_like where isnan mean uniform binomial process_pokec_attributes simulate_y load_data_pokec zeros sum std enumerate expit where searchsorted binomial process_pokec_attributes simulate_y unique load_data_pokec max expit min where searchsorted mean binomial process_pokec_attributes simulate_y unique load_data_pokec std load mean load mean std ate_estimates logical_not read_csv values sorted format list glob print ate_from_rerm_tsv keys mean std print join format rerm_psi print join format rerm_psi process_covariate_experiment DataFrame join set_index xlabel ylabel tight_layout set process_exogeneity_experiment scatterplot rename figure savefig DataFrame makedirs make_reddit_prop_plt agg read_csv argsort unique searchsorted concatenate cumsum append zeros empty range len cumsum lexsort astype empty_like int32 unique require items list concatenate stack repeat arange weights copy lengths repeat neighbours empty len adj_list_to_red_edge_list edge_list_to_red_edge_list stack edge_list_to_red_edge_list shape reshape unique csr_matrix from_scipy_sparse_matrix ones_like not_equal ones squeeze concat where scatter_nd stack cast callable get_or_create_global_step get_variable print name group OrderedDict match list_variables update log_softmax accuracy mean precision f1_score recall argmax mean reshape argmax accuracy add_argument ArgumentParser constant get_or_create_global_step float32 cast int32 do_eval num_train_steps add_parser_model_arguments batch_size set_random_seed set_verbosity output_dir do_train do_predict values label_pred seed RunConfig treatment_response_model_fn_builder ON_1 Estimator predict num_vertices latest_checkpoint use_xla MakeDirs info INFO join savez evaluate base_propensities_path simulate_exogeneity_experiment train std makedirs float32 cast mean_squared_error expand_dims get_variable dense l2_regularizer range dense l2_regularizer range value cast float32 add_loss shape squeeze _make_edge_logits _get_value trainable_variables get_or_create_global_step minimize identity assign_add list searchsorted get_neighbours offsets empty range enumerate len cumsum empty_like _make_hidden_constant set_shape shape _make_features_hidden_constant set_shape shape RandomState float32 astype RandomState float32 astype print shuffle repeat range info num_vertices add_negative_sample make_learned_unigram_logits lengths adjacency_list offsets neighbours _constant_hidden_value ones Number isinstance get_variable join load_op_library dirname get_config_var logit ones_like zeros_like minimize truncate_all_by_g q1 ones_like std zeros_like truncate_all_by_g square mse mean sqrt sum q1 truncate_all_by_g mean list keys att_estimates psi_aiptw psi_q_only psi_tmle_bin_outcome psi_very_naive psi_iptw ones_like expit logit zeros_like mean q1 ones_like zeros_like minimize truncate_all_by_g mean q2 mean truncate_all_by_g mean truncate_all_by_g mean psi_aiptw psi_plugin psi_q_only one_step_tmle psi_very_naive make_one_step_tmle reshape fit LogisticRegression logical_and truncate_by_g copy | vveitch/causal-network-embeddings | 4,051 |
vwxyzjn/invalid-action-masking | ['real time strategy games'] | ['A Closer Look at Invalid Action Masking in Policy Gradient Algorithms'] | invalid_action_masking/ppo_no_mask_24x24.py invalid_action_masking/ppo_24x24.py invalid_action_masking/ppo_no_mask_16x16.py invalid_action_masking/ppo_10x10.py invalid_action_masking/ppo_16x16.py plots/approx_kl.py invalid_action_masking/ppo_4x4.py invalid_action_masking/ppo_no_mask_4x4.py invalid_action_masking/ppo_no_adj_16x16.py gym_vec_api/ppo_multidiscrete_mask.py test.py gym_vec_api/ppo_multidiscrete.py invalid_action_masking/ppo_no_mask_10x10.py plots/episode_reward.py invalid_action_masking/ppo_no_adj_10x10.py invalid_action_masking/ppo_no_adj_24x24.py plots/analysis.py ppo.py invalid_action_masking/ppo_no_adj_4x4.py Agent layer_init MicroRTSStatsRecorder VecPyTorch make_env Scale CategoricalMasked ImageToPyTorch Agent layer_init Transpose make_env parse_args Agent layer_init Transpose make_env CategoricalMasked parse_args discount_cumsum update_mean_var_count_from_moments RunningMeanStd Value CategoricalMasked Policy evaluate_with_no_mask NormalizedEnv discount_cumsum update_mean_var_count_from_moments RunningMeanStd Value CategoricalMasked Policy evaluate_with_no_mask NormalizedEnv discount_cumsum update_mean_var_count_from_moments RunningMeanStd Value CategoricalMasked Policy evaluate_with_no_mask NormalizedEnv discount_cumsum update_mean_var_count_from_moments RunningMeanStd Value CategoricalMasked Policy evaluate_with_no_mask NormalizedEnv discount_cumsum update_mean_var_count_from_moments RunningMeanStd Value CategoricalMasked Policy NormalizedEnv discount_cumsum update_mean_var_count_from_moments RunningMeanStd Value CategoricalMasked Policy NormalizedEnv discount_cumsum update_mean_var_count_from_moments RunningMeanStd Value CategoricalMasked Policy NormalizedEnv discount_cumsum update_mean_var_count_from_moments RunningMeanStd Value CategoricalMasked Policy NormalizedEnv discount_cumsum update_mean_var_count_from_moments RunningMeanStd Value CategoricalMasked Policy NormalizedEnv discount_cumsum update_mean_var_count_from_moments RunningMeanStd Value CategoricalMasked Policy NormalizedEnv discount_cumsum update_mean_var_count_from_moments RunningMeanStd Value CategoricalMasked Policy NormalizedEnv discount_cumsum update_mean_var_count_from_moments RunningMeanStd Value CategoricalMasked Policy NormalizedEnv get_df_for_env export_legend smooth _smooth get_df_for_env export_legend smooth _smooth weight orthogonal_ constant_ bias num_steps num_envs int batch_size add_argument num_minibatches ArgumentParser square list range reversed zeros_like sum batch_size capture_video step copy shape render reset numpy zeros to empty array range add_scalar append list append DataFrame copy set_text inverted draw add_subplot axis transformed set_linewidth clf get_lines figure legend get_texts savefig get_legend_handles_labels list smooth smooth_weight | vwxyzjn/invalid-action-masking | 4,052 |
vxld014/S-H-ESD | ['time series', 'anomaly detection'] | ['Automatic Anomaly Detection in the Cloud Via Statistical Learning'] | ts_anomaly_detection.py ts_decomposition_plot esd_test_statistics esd_test ts_S_Md_decomposition seasonal_mean tile seasonal_mean median array len show clear subplots display plot set_ylabel mean median abs std argmax int max sum ppf esd_test_statistics sqrt floor append power abs array range len | vxld014/S-H-ESD | 4,053 |
vztu/RAPIQUE | ['video quality assessment'] | ['RAPIQUE: Rapid and Accurate Video Quality Prediction of User Generated Content'] | evaluate_bvqa_features_binary_classification.py evaluate_bvqa_features_regression.py evaluate_bvqa_features_ordinal_classification.py evaluate_bvqa_one_split logistic_func arg_parser formatted_print compute_metrics Logger final_avg main evaluate_bvqa_one_split logistic_func arg_parser formatted_print compute_metrics Logger final_avg main evaluate_bvqa_one_split logistic_func arg_parser formatted_print compute_metrics Logger final_avg main parse_args add_argument ArgumentParser negative abs exp divide balanced_accuracy_score f1_score accuracy_score print str print formatted time format RandomizedSearchCV print best_params_ LinearSVC SVC formatted_print compute_metrics transform train_test_split predict fit zeros_like delete out_file final_avg mos_file values list squeeze dirname append range predict asarray partial format astype log_short nan enumerate feature_file time num_iterations print reshape sort evaluate_bvqa_one_split makedirs savemat transform GaussianMixture loadmat array read_csv fit mean_absolute_error sqrt logistic_func mean_squared_error curve_fit LinearSVR SVR | vztu/RAPIQUE | 4,054 |
wacr2008/tensorflow_crnn | ['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/test_shadownet_subnetwork.py ctpn/lib/utils/timer.py local_utils/establish_char_dict.py tools/train_shadownet_subnet.py tools/test_shadownet.py ctpn/lib/text_connector/other.py crnn_model/__init__.py ctpn/lib/datasets/__init__.py data_provider/data_provider.py ctpn/lib/rpn_msr/generate_anchors.py ctpn/lib/fast_rcnn/config.py tools/test.py ctpn/lib/roi_data_layer/layer.py ctpn/lib/rpn_msr/proposal_layer_tf.py ctpn/lib/networks/VGGnet_test.py tools/train_shadownet_org.py tools/train_shadownet.py tools/demo_shadownet_car_plate.py ctpn/lib/utils/blob.py ctpn/lib/__init__.py ctpn/lib/fast_rcnn/bbox_transform.py global_configuration/__init__.py ctpn/lib/datasets/pascal_voc.py ctpn/lib/roi_data_layer/minibatch.py global_configuration/config.py tools/__init__.py ctpn/lib/fast_rcnn/nms_wrapper.py ctpn/lib/text_connector/text_proposal_graph_builder.py ctpn/lib/roi_data_layer/__init__.py local_utils/tensorboard_vis_summary.py ctpn/lib/datasets/factory.py crnn_model/cnn_basenet.py ctpn/train_net.py data_provider/base_data_provider.py ctpn/lib/utils/__init__.py ctpn/lib/text_connector/text_proposal_connector_oriented.py ctpn/lib/networks/VGGnet_train.py ctpn/lib/utils/boxes_grid.py ctpn/lib/prepare_training_data/ToVoc.py ctpn/lib/datasets/ds_utils.py ctpn/lib/networks/network.py data_provider/data_provider_org.py ctpn/lib/networks/__init__.py data_provider/__init__.py local_utils/log_utils.py tools/watch_cnn_para.py test.py ctpn/lib/text_connector/detectors.py tools/test_shadownet_car_plate.py tools/demo_shadownet.py ctpn/lib/fast_rcnn/train.py tools/establish_char_dict.py ctpn/lib/rpn_msr/anchor_target_layer_tf.py crnn_model/crnn_model.py ctpn/lib/utils/setup_win.py local_utils/data_utils.py demo.py ctpn/lib/fast_rcnn/__init__.py ctpn/lib/text_connector/text_proposal_connector.py tools/write_text_tfrecords.py local_utils/__init__.py ctpn/lib/networks/factory.py ctpn/lib/utils/setup.py ctpn/lib/roi_data_layer/roidb.py ctpn_crnn.py ctpn/lib/fast_rcnn/test.py ctpn/lib/datasets/imdb.py ctpn/lib/prepare_training_data/split_label.py ctpn/lib/text_connector/text_connect_cfg.py ctpn/lib/text_connector/__init__.py CTPN_CRNN CRNN ctpn_crnn_do CTPN CNNBaseModel ShadowNet unique_boxes xywh_to_xyxy validate_boxes xyxy_to_xywh filter_small_boxes _selective_search_IJCV_top_k get_imdb list_imdbs imdb pascal_voc _which clip_boxes bbox_transform bbox_transform_inv cfg_from_list cfg_from_file _merge_a_into_b get_log_dir get_output_dir nms test_ctpn _get_image_blob _get_blobs train_net get_training_roidb get_data_layer SolverWrapper get_network layer Network VGGnet_test VGGnet_train generate_xml _is_hard build_voc_dirs RoIDataLayer _project_im_rois _sample_rois _vis_minibatch _get_image_blob get_minibatch _get_bbox_regression_labels add_bbox_regression_targets prepare_roidb _compute_targets _unmap _compute_targets anchor_target_layer generate_anchors generate_basic_anchors scale_anchor _filter_boxes proposal_layer _filter_irregular_boxes TextDetector resize_im threshold clip_boxes Graph normalize prepare_img Config TextProposalConnector TextProposalConnector TextProposalGraphBuilder im_list_to_blob prep_im_for_blob get_boxes_grid find_in_path customize_compiler_for_nvcc custom_build_ext locate_cuda CUDA_build_ext Timer Dataset TextDataset TextDataProvider TextDataset TextDataProvider TextFeatureWriter TextFeatureIO TextFeatureReader FeatureIO CharDictBuilder init_logger CNNVisualizer recognize init_args recognize init_args generate_char_dict init_args init_args test_shadownet init_args test_shadownet init_args test_shadownet_subnetwork train_shadownet init_args train_shadownet init_args train_shadownet init_args init_args write_features do dot array unique pascal_voc selective_search_IJCV_roidb print list_imdbs join strip is_exe pathsep split transpose log dtype exp astype shape zeros minimum maximum join EXP_DIR name abspath ROOT_DIR makedirs join name strftime localtime LOG_DIR abspath ROOT_DIR makedirs items list ndarray isinstance type array _merge_a_into_b literal_eval zip split USE_GPU_NMS MAX_SIZE min astype float32 SCALES shape resize append im_list_to_blob float max _get_image_blob HAS_RPN array _get_blobs run prepare_roidb print USE_FLIPPED append_flipped_images HAS_RPN RoIDataLayer IS_MULTISCALE HAS_RPN ConfigProto str int Document lower append float append_xml_node_attr split join mkdir vstack round _project_im_rois basename BATCH_SIZE ones len shape _get_image_blob range FG_FRACTION hstack astype HAS_RPN empty zeros _sample_rois float32 randint array BBOX_REG minimum size choice append _get_bbox_regression_labels prep_im_for_blob PIXEL_MEANS imread range len zeros BBOX_INSIDE_WEIGHTS shape show uint8 print astype copy add_patch imshow Rectangle range image_index toarray roidb argmax max range image_path_at len EPS BBOX_NORMALIZE_STDS print _compute_targets BBOX_NORMALIZE_MEANS BBOX_NORMALIZE_TARGETS_PRECOMPUTED mean sqrt BBOX_NORMALIZE_TARGETS tile zeros array range len bbox_transform ascontiguousarray zeros argmax bbox_overlaps arange RPN_BBOX_INSIDE_WEIGHTS _unmap argmax max RPN_FG_FRACTION generate_anchors ones transpose bbox_intersections array meshgrid sum RPN_BATCHSIZE format hstack astype ascontiguousarray choice sqrt fill empty RPN_POSITIVE_WEIGHT int EPS print reshape RPN_CLOBBER_POSITIVES _compute_targets zeros bbox_overlaps fill empty zeros array int32 scale_anchor copy append decode generate_anchors RPN_POST_NMS_TOP_N format arange nms print reshape meshgrid transpose clip_boxes bbox_transform_inv _filter_boxes hstack shape RPN_NMS_THRESH RPN_PRE_NMS_TOP_N RPN_MIN_SIZE transpose threshold min max float min max zeros max range len min astype float32 rand shape RANDOM_DOWNSAMPLE resize float max arange reshape transpose hstack SPATIAL_SCALE dstack ASPECTS sqrt SCALES_BASE floor KERNEL_SIZE repeat meshgrid zeros max range len pathsep pjoin exists split find_in_path items list pjoin pathsep dirname sep append _compile compiler_so join setFormatter getLogger addHandler getcwd WARNING StreamHandler Formatter dirname TimedRotatingFileHandler setLevel makedirs add_argument ArgumentParser ctc_beam_search_decoder TextFeatureIO string Saver resize Session ShadowNet placeholder IMREAD_COLOR shape cast TF_ALLOW_GROWTH imread COLOR_BGR2GRAY astype ConfigProto constant SEQUENCE_LENGTH print float32 GPU_MEMORY_FRACTION int32 cvtColor format glob close mean info len join format write_char_dict print map_index_to_ord map_ord_to_index CharDictBuilder ctc_beam_search_decoder read_features string Saver Session ShadowNet BATCH_SIZE ones cast TF_ALLOW_GROWTH close ConfigProto batch constant SEQUENCE_LENGTH reader sequence_length GPU_MEMORY_FRACTION int32 shuffle_batch placeholder ceil tf_record_iterator join int join int ShadowNet read_features reader close ceil GPU_MEMORY_FRACTION cast Saver tf_record_iterator TF_ALLOW_GROWTH ConfigProto shuffle_batch Session batch trainable_variables ctc_beam_search_decoder read_features localtime Saver LR_DECAY_STEPS exponential_decay Session str list ShadowNet BATCH_SIZE LR_DECAY_RATE ones ctc_loss get_collection placeholder strftime EPOCHS pprint cast LEARNING_RATE append TF_ALLOW_GROWTH merge_conv_image format close FileWriter cfg CNNVisualizer ConfigProto merge items time SEQUENCE_LENGTH join reader Variable merge_weights_hist graph add_graph print edit_distance sequence_length reduce_mean UPDATE_OPS dict int32 GPU_MEMORY_FRACTION shuffle_batch scalar makedirs argmax softmax_cross_entropy_with_logits merge_all softmax equal as_list float32 int join format list print TextFeatureIO num_examples tqdm TextDataProvider ceil next_batch range makedirs | wacr2008/tensorflow_crnn | 4,055 |
waiyulam/ORCNN | ['instance segmentation', 'data augmentation', 'semantic segmentation'] | ['Learning to See the Invisible: End-to-End Trainable Amodal Instance Segmentation'] | projects/DensePose/densepose/densepose_coco_evaluation.py tests/test_checkpoint.py detectron2/modeling/proposal_generator/build.py detectron2/evaluation/cityscapes_evaluation.py detectron2/utils/visualizer.py detectron2/utils/collect_env.py tools/visualize_data.py projects/TensorMask/tensormask/arch.py detectron2/modeling/anchor_generator.py detectron2/data/detection_utils.py detectron2/modeling/proposal_generator/rpn_outputs.py detectron2/modeling/proposal_generator/rpn.py detectron2/checkpoint/__init__.py projects/TridentNet/tridentnet/trident_rcnn.py tests/test_data_loader.py projects/TensorMask/tests/__init__.py detectron2/modeling/postprocessing.py detectron2/config/compat.py detectron2/utils/analysis.py projects/TensorMask/tensormask/layers/swap_align2nat.py projects/DensePose/train_net.py detectron2/evaluation/AmodalCocoEvaluation.py detectron2/model_zoo/__init__.py detectron2/evaluation/sem_seg_evaluation.py detectron2/evaluation/lvis_evaluation.py detectron2/utils/registry.py detectron2/modeling/backbone/backbone.py detectron2/modeling/roi_heads/fast_rcnn.py tests/test_boxes.py detectron2/data/datasets/lvis.py projects/TensorMask/tensormask/layers/__init__.py projects/TensorMask/tests/test_swap_align2nat.py detectron2/modeling/roi_heads/mask_head.py detectron2/data/samplers/__init__.py projects/DensePose/densepose/evaluator.py detectron2/utils/logger.py detectron2/structures/__init__.py detectron2/modeling/meta_arch/semantic_seg.py detectron2/modeling/meta_arch/retinanet.py detectron2/export/caffe2_export.py detectron2/export/shared.py detectron2/data/samplers/grouped_batch_sampler.py detectron2/layers/roi_align.py setup.py detectron2/modeling/roi_heads/rotated_fast_rcnn.py detectron2/utils/events.py detectron2/layers/roi_align_rotated.py detectron2/modeling/roi_heads/mask_invisible_head.py detectron2/evaluation/Amodal_cocoeval.py detectron2/utils/video_visualizer.py detectron2/data/samplers/distributed_sampler.py detectron2/modeling/sampling.py detectron2/modeling/roi_heads/mask_visible_head.py detectron2/utils/__init__.py projects/DensePose/apply_net.py detectron2/structures/image_list.py projects/PointRend/point_rend/config.py tests/test_model_analysis.py detectron2/evaluation/panoptic_evaluation.py detectron2/layers/__init__.py detectron2/modeling/roi_heads/roi_heads.py detectron2/modeling/backbone/__init__.py docs/conf.py projects/PointRend/point_rend/point_features.py detectron2/data/transforms/transform_gen.py tools/visualize_json_results.py detectron2/utils/comm.py detectron2/evaluation/testing.py detectron2/structures/instances.py detectron2/data/__init__.py detectron2/modeling/box_regression.py detectron2/solver/lr_scheduler.py projects/TridentNet/tridentnet/trident_rpn.py tools/train_net.py detectron2/data/datasets/pascal_voc.py detectron2/export/caffe2_modeling.py detectron2/data/catalog.py detectron2/config/__init__.py detectron2/modeling/test_time_augmentation.py projects/DensePose/densepose/vis/extractor.py projects/TensorMask/tensormask/config.py detectron2/modeling/proposal_generator/rrpn_outputs.py detectron2/modeling/roi_heads/box_head.py projects/DensePose/densepose/structures.py tests/test_roi_align.py detectron2/modeling/meta_arch/__init__.py detectron2/export/c10.py detectron2/export/__init__.py projects/DensePose/densepose/utils/dbhelper.py demo/demo.py detectron2/solver/build.py detectron2/export/patcher.py tools/benchmark.py projects/PointRend/point_rend/__init__.py detectron2/data/transforms/__init__.py detectron2/config/defaults.py detectron2/export/caffe2_inference.py tests/test_roi_pooler.py tests/test_model_e2e.py projects/DensePose/densepose/densepose_head.py detectron2/modeling/meta_arch/rcnn.py projects/DensePose/densepose/config.py detectron2/checkpoint/catalog.py detectron2/layers/batch_norm.py detectron2/data/datasets/coco.py detectron2/evaluation/__init__.py tests/test_sampler.py projects/TensorMask/train_net.py projects/DensePose/densepose/roi_head.py detectron2/checkpoint/detection_checkpoint.py projects/DensePose/densepose/dataset.py projects/TridentNet/tridentnet/config.py projects/TridentNet/tridentnet/trident_conv.py detectron2/export/api.py detectron2/structures/keypoints.py detectron2/engine/__init__.py detectron2/utils/serialize.py detectron2/config/config.py projects/DensePose/densepose/dataset_mapper.py projects/DensePose/densepose/vis/bounding_box.py detectron2/engine/train_loop.py detectron2/modeling/matcher.py projects/DensePose/densepose/vis/base.py detectron2/data/dataset_mapper.py detectron2/data/datasets/cityscapes.py detectron2/modeling/proposal_generator/proposal_utils.py detectron2/data/datasets/builtin.py detectron2/modeling/roi_heads/cascade_rcnn.py projects/TridentNet/tridentnet/__init__.py detectron2/data/transforms/transform.py detectron2/modeling/proposal_generator/rrpn.py detectron2/engine/hooks.py detectron2/layers/mask_ops.py projects/PointRend/train_net.py projects/TridentNet/tridentnet/trident_backbone.py tests/test_roi_heads.py demo/predictor.py detectron2/data/datasets/__init__.py detectron2/data/datasets/builtin_meta.py detectron2/modeling/roi_heads/keypoint_head.py detectron2/model_zoo/model_zoo.py tests/test_nms_rotated.py detectron2/data/build.py detectron2/evaluation/rotated_coco_evaluation.py tests/test_anchor_generator.py tests/test_data_transform.py tests/test_rpn.py detectron2/modeling/roi_heads/__init__.py detectron2/modeling/proposal_generator/__init__.py projects/TensorMask/setup.py projects/PointRend/point_rend/point_head.py tests/test_model_zoo.py detectron2/checkpoint/c2_model_loading.py projects/PointRend/point_rend/roi_heads.py detectron2/__init__.py detectron2/data/datasets/register_coco.py tests/test_mask_ops.py detectron2/layers/nms.py detectron2/modeling/meta_arch/build.py tests/test_rotated_boxes.py detectron2/modeling/roi_heads/mask_amodal_head.py detectron2/structures/masks.py projects/DensePose/densepose/utils/logger.py detectron2/solver/__init__.py detectron2/evaluation/coco_evaluation.py detectron2/layers/wrappers.py projects/DensePose/densepose/__init__.py detectron2/engine/defaults.py projects/DensePose/query_db.py detectron2/utils/memory.py tests/test_visualizer.py tools/caffe2_converter.py detectron2/layers/deform_conv.py tools/plain_train_net.py detectron2/structures/rotated_boxes.py projects/DensePose/densepose/vis/densepose.py projects/TridentNet/train_net.py detectron2/modeling/backbone/resnet.py detectron2/layers/rotated_boxes.py tests/test_box2box_transform.py detectron2/modeling/backbone/fpn.py tests/test_roi_align_rotated.py detectron2/utils/colormap.py detectron2/evaluation/pascal_voc_evaluation.py projects/PointRend/point_rend/coarse_mask_head.py detectron2/modeling/backbone/build.py detectron2/modeling/__init__.py tests/test_fast_rcnn.py detectron2/modeling/meta_arch/panoptic_fpn.py detectron2/utils/env.py projects/TensorMask/tensormask/__init__.py tests/test_config.py detectron2/engine/launch.py detectron2/layers/shape_spec.py detectron2/data/datasets/lvis_v0_5_categories.py detectron2/modeling/poolers.py tests/__init__.py detectron2/evaluation/evaluator.py detectron2/structures/boxes.py detectron2/data/common.py get_model_zoo_configs get_extensions get_version get_parser setup_cfg VisualizationDemo AsyncPredictor convert_c2_detectron_names convert_basic_c2_names align_and_update_state_dicts Detectron2Handler ModelCatalogHandler ModelCatalog DetectionCheckpointer upgrade_config downgrade_config _rename _RenameConverter ConverterV2 ConverterV1 guess_version set_global_cfg get_cfg CfgNode print_instances_class_histogram build_detection_test_loader filter_images_with_few_keypoints build_detection_train_loader load_proposals_into_dataset worker_init_reset_seed get_detection_dataset_dicts trivial_batch_collator filter_images_with_only_crowd_annotations _quantize MetadataCatalog DatasetCatalog Metadata AspectRatioGroupedDataset DatasetFromList MapDataset DatasetMapper check_metadata_consistency annotations_to_instances transform_instance_annotations annotations_to_instances_rotated transform_proposals gen_crop_transform_with_instance build_transform_gen check_image_size create_keypoint_hflip_indices SizeMismatchError filter_empty_instances transform_keypoint_annotations read_image register_all_coco register_all_cityscapes register_all_lvis register_all_pascal_voc _get_coco_instances_meta _get_builtin_metadata _get_coco_panoptic_separated_meta load_cityscapes_instances load_cityscapes_semantic cityscapes_files_to_dict load_sem_seg convert_to_coco_json load_coco_json convert_to_coco_dict register_lvis_instances get_lvis_instances_meta _get_lvis_instances_meta_v0_5 load_lvis_json load_voc_instances register_pascal_voc merge_to_panoptic register_coco_panoptic_separated register_coco_instances RepeatFactorTrainingSampler InferenceSampler TrainingSampler GroupedBatchSampler ExtentTransform Resize_rotated_box ResizeTransform HFlip_rotated_box TransformGen RandomFlip RandomSaturation check_dtype RandomLighting apply_transform_gens RandomContrast Resize RandomCrop ResizeShortestEdge RandomExtent RandomBrightness default_setup DefaultTrainer DefaultPredictor default_argument_parser PeriodicCheckpointer LRScheduler IterationTimer PreciseBN CallbackHook PeriodicWriter AutogradProfiler EvalHook launch _distributed_worker _find_free_port SimpleTrainer HookBase TrainerBase _evaluate_box_proposals AmodalEvaluator _evaluate_predictions_on_coco instances_to_coco_json AmodalParams AMODALCOCOeval CityscapesEvaluator instances_to_coco_json COCOEvaluator _evaluate_box_proposals _evaluate_predictions_on_coco DatasetEvaluator DatasetEvaluators inference_on_dataset inference_context _evaluate_predictions_on_lvis _evaluate_box_proposals LVISEvaluator COCOPanopticEvaluator _print_panoptic_results PascalVOCDetectionEvaluator parse_rec voc_eval voc_ap RotatedCOCOeval RotatedCOCOEvaluator SemSegEvaluator verify_results print_csv_format flatten_results_dict Caffe2Model add_export_config export_caffe2_model Caffe2KeypointRCNNInference Caffe2RPN Caffe2Compatible Caffe2FastRCNNOutputsInference Caffe2MaskRCNNInference Boxes4or5 Caffe2ROIPooler InstancesList run_and_save_graph _op_stats export_caffe2_detection_model _assign_device_option _export_via_onnx ProtobufDetectionModel ProtobufModel Caffe2GeneralizedRCNN Caffe2RetinaNet set_caffe2_compatible_tensor_mode _cast_to_f32 Caffe2PanopticFPN Caffe2MetaArch assemble_rcnn_outputs_by_name convert_batched_inputs_to_c2_format GenericMixin mock_fastrcnn_outputs_inference ROIHeadsPatcher patch Caffe2CompatibleConverter patch_generalized_rcnn mock_mask_rcnn_inference mock_keypoint_rcnn_inference rename_op_input get_sub_graph_external_input_output to_device IllegalGraphTransformError mock_torch_nn_functional_interpolate save_graph_base identify_reshape_sub_graph alias remove_reshape_for_fc construct_init_net_from_params DiGraph get_params_from_init_net get_pb_arg_valstrings _modify_blob_names _rename_blob group_norm_replace_aten_with_caffe2 _rename_versioned_blob_in_proto get_pb_arg_ints ScopedWS get_pb_arg_vals save_graph get_pb_arg_floats fuse_copy_between_cpu_and_gpu get_pb_arg_vali get_pb_arg_valf _generic_status_identifier onnx_compatibale_interpolate remove_dead_end_ops get_pb_arg BilinearInterpolation check_set_pb_arg infer_device_type fetch_any_blob get_producer_map fuse_alias_placeholder rename_op_output _get_dependency_chain _updater_raise _create_const_fill_op_from_numpy create_const_fill_op get_consumer_map _create_const_fill_op_from_c2_int8_tensor NaiveSyncBatchNorm FrozenBatchNorm2d AllReduce get_norm ModulatedDeformConv DeformConv _ModulatedDeformConv _DeformConv paste_mask_in_image_old pad_masks _do_paste_mask paste_masks_in_image scale_boxes nms_rotated batched_nms_rotated batched_nms ROIAlign _ROIAlign _ROIAlignRotated ROIAlignRotated pairwise_iou_rotated ShapeSpec _NewEmptyTensorOp interpolate cat Conv2d RotatedAnchorGenerator build_anchor_generator _create_grid_offsets BufferList DefaultAnchorGenerator Box2BoxTransformRotated Box2BoxTransform Matcher convert_boxes_to_pooler_format assign_boxes_to_levels ROIPooler detector_postprocess sem_seg_postprocess subsample_labels DatasetMapperTTA GeneralizedRCNNWithTTA Backbone build_backbone LastLevelMaxPool build_retinanet_resnet_fpn_backbone build_resnet_fpn_backbone FPN LastLevelP6P7 _assert_strides_are_log2_contiguous ResNet ResNetBlockBase BottleneckBlock build_resnet_backbone DeformBottleneckBlock make_stage BasicStem build_model combine_semantic_and_instance_outputs PanopticFPN ProposalNetwork GeneralizedRCNN permute_all_cls_and_box_to_N_HWA_K_and_concat permute_to_N_HWA_K RetinaNet RetinaNetHead SemanticSegmentor SemSegFPNHead build_sem_seg_head build_proposal_generator add_ground_truth_to_proposals add_ground_truth_to_proposals_single_image RPN StandardRPNHead build_rpn_head rpn_losses RPNOutputs find_top_rpn_proposals RRPN RRPNOutputs find_top_rrpn_proposals build_box_head FastRCNNConvFCHead _ScaleGradient CascadeROIHeads FastRCNNOutputs fast_rcnn_inference fast_rcnn_inference_single_image FastRCNNOutputLayers build_keypoint_head keypoint_rcnn_inference KRCNNConvDeconvUpsampleHead keypoint_rcnn_loss amodal_mask_rcnn_loss AmodalMaskRCNNConvUpsampleHead amodal_mask_rcnn_inference build_amodal_mask_head mask_rcnn_inference MaskRCNNConvUpsampleHead build_mask_head mask_rcnn_loss BaseMaskRCNNHead invisible_mask_rcnn_loss build_invisible_mask_head invisible_mask_rcnn_inference InvisibleMaskRCNNHead VisibleMaskRCNNConvUpsampleHead visible_mask_rcnn_inference visible_mask_rcnn_loss build_visible_mask_head Res5ROIHeads build_roi_heads AmodalROIHeads ROIHeads select_proposals_with_visible_keypoints select_foreground_proposals StandardROIHeads RROIHeads RotatedFastRCNNOutputs fast_rcnn_inference_single_image_rotated fast_rcnn_inference_rotated get get_checkpoint_url get_config_file _ModelZooUrls build_lr_scheduler build_optimizer WarmupMultiStepLR WarmupCosineLR _get_warmup_factor_at_iter pairwise_iou matched_boxlist_iou BoxMode Boxes ImageList Instances Keypoints _keypoints_to_heatmap heatmaps_to_keypoints polygon_area BitMasks polygons_to_bitmask rasterize_polygons_within_box PolygonMasks pairwise_iou RotatedBoxes flop_count_operators detect_compute_compatibility get_env_module collect_torch_env collect_env_info random_color colormap get_local_size synchronize get_world_size get_local_rank reduce_dict _get_global_gloo_group shared_random_seed all_gather get_rank gather _serialize_to_tensor is_main_process _pad_to_largest_tensor setup_environment setup_custom_environment _configure_libraries _import_file seed_all_rng EventStorage TensorboardXWriter EventWriter get_event_storage JSONWriter CommonMetricPrinter _cached_log_stream log_first_n _find_caller setup_logger log_every_n create_small_table _ColorfulFormatter log_every_n_seconds retry_if_cuda_oom _ignore_torch_cuda_oom PicklableWrapper _DetectedInstance VideoVisualizer VisImage Visualizer GenericMask ColorMode _PanopticPrediction _create_text_labels url_resolver setup autodoc_skip_member ShowAction create_argument_parser register_action InferenceAction main DumpAction Action setup_dataset ShowAction create_argument_parser register_action EntrywiseAction main PrintAction Action main setup Trainer add_densepose_config get_densepose_metadata DatasetMapper Params DensePoseDataMode DensePoseCocoEval DensePoseEvalMode DensePoseLosses densepose_inference ASPPPooling build_densepose_predictor _NonLocalBlockND ASPP DensePoseV1ConvXHead _linear_interpolation_utilities DensePoseDataFilter NONLocalBlock2D _resample_data build_densepose_head DensePosePredictor _extract_single_tensors_from_matches _extract_single_tensors_from_matches_one_image build_densepose_losses DensePoseDeepLabHead initialize_module_params ASPPConv _grid_sampling_utilities build_densepose_data_filter _extract_at_points_packed DensePoseCOCOEvaluator _evaluate_predictions_on_coco_gpsm prediction_to_json _evaluate_predictions_on_coco_gps _evaluate_predictions_on_coco Decoder DensePoseROIHeads DensePoseResult DensePoseList normalized_coords_transform DensePoseTransformData DensePoseDataRelative DensePoseOutput AllEntrySelector EntrySelector FieldEntrySelector verbosity_to_level PointsVisualizer CompoundVisualizer RectangleVisualizer TextVisualizer MatrixVisualizer BoundingBoxVisualizer ScoredBoundingBoxVisualizer _extract_v_from_iuvarr DensePoseDataPointsVisualizer DensePoseDataPointsIVisualizer DensePoseDataPointsVVisualizer DensePoseResultsMplContourVisualizer DensePoseDataCoarseSegmentationVisualizer DensePoseResultsVVisualizer DensePoseResultsFineSegmentationVisualizer _densepose_data_i_for_cmap DensePoseOutputsFineSegmentationVisualizer _extract_u_from_iuvarr DensePoseOutputsVVisualizer DensePoseOutputsUVisualizer _densepose_data_v_for_cmap _densepose_data_u_for_cmap DensePoseDataPointsUVisualizer DensePoseResultsVisualizer DensePoseMaskedColormapResultsVisualizer DensePoseResultsCustomContourVisualizer _extract_i_from_iuvarr DensePoseResultsUVisualizer extract_boxes_xywh_from_instances BoundingBoxExtractor ScoreThresholdedExtractor CompoundExtractor ScoredBoundingBoxExtractor DensePoseResultExtractor extract_scores_from_instances NmsFilteredExtractor create_extractor main setup Trainer CoarseMaskHead add_pointrend_config get_uncertain_point_coords_on_grid point_sample get_point_coords_wrt_image point_sample_fine_grained_features generate_regular_grid_point_coords get_uncertain_point_coords_with_randomness StandardPointHead roi_mask_point_loss build_point_head PointRendROIHeads calculate_uncertainty get_extensions main setup Trainer TensorMask TensorMaskAnchorGenerator _paste_mask_lists_in_image _postprocess _assignment_rule TensorMaskHead add_tensormask_config SwapAlign2Nat _SwapAlign2Nat SwapAlign2NatTest main setup Trainer add_tridentnet_config build_trident_resnet_backbone TridentBottleneckBlock make_trident_stage TridentConv merge_branch_instances TridentStandardROIHeads TridentRes5ROIHeads TridentRPN TestAnchorGenerator random_rotated_boxes TestBox2BoxTransformRotated random_boxes TestBox2BoxTransform TestBoxIOU TestBoxMode TestCheckpointer TestConfigVersioning TestTransformAnnotations TestTransforms FastRCNNTest rasterize_polygons_with_grid_sample TestMaskCropPaste benchmark_paste iou_between_full_image_bit_masks FasterRCNNFlopTest get_model_zoo RetinaNetFlopTest create_model_input get_empty_instance RetinaNetE2ETest ModelE2ETest MaskRCNNE2ETest get_regular_bitmask_instances get_model_zoo TestModelZoo TestNMSRotated ROIAlignTest benchmark_roi_align ROIAlignRotatedTest ROIHeadsTest TestROIPooler TestRotatedBoxesLayer TestRotatedBoxesStructure benchmark_rotated_iou RPNTest TestGroupedBatchSampler TestVisualizer benchmark_eval benchmark_data setup benchmark_train setup_cfg setup get_evaluator do_train main do_test main setup Trainer parse_args output setup create_instances dataset_id_map join format strip readlines strftime getenv dirname abspath append get join format glob dirname abspath append join isdir glob unlink realpath rmtree islink symlink dirname exists merge_from_file confidence_threshold config_file get_cfg merge_from_list opts freeze add_argument ArgumentParser deepcopy deepcopy sorted format convert_basic_c2_names zip getLogger tuple shape startswith info keys cat get_missing_parameters_message getLogger tuple warning max values sorted list view tolist shape convert_c2_detectron_names format info keys enumerate error clone get_unexpected_parameters_message len VERSION upgrade clone range VERSION downgrade clone range VERSION format warning getLogger _get _del _set split clear update getLogger format info len getLogger format info len pop format getLogger set info list sorted copy list tabulate arange format chain min log_first_n extend zip_longest colored zeros sum INFO len list check_metadata_consistency thing_classes print_instances_class_histogram filter_images_with_few_keypoints from_iterable zip filter_images_with_only_crowd_annotations getLogger DataLoader SAMPLER_TRAIN BatchSampler get_detection_dataset_dicts RepeatFactorTrainingSampler TrainingSampler ASPECT_RATIO_GROUPING REPEAT_THRESHOLD AspectRatioGroupedDataset format IMS_PER_BATCH get_world_size TRAIN info DatasetMapper MapDataset DatasetFromList len DataLoader MapDataset BatchSampler get_detection_dataset_dicts DatasetMapper DatasetFromList InferenceSampler len randint seed_all_rng pop apply_box convert astype Boxes Instances nonempty XYXY_ABS as_tensor clip decode apply_segmentation isinstance convert XYXY_ABS transform_keypoint_annotations apply_coords reshape decode ndarray Keypoints isinstance BitMasks Boxes Instances stack polygons_to_bitmask append tensor PolygonMasks clip Instances tensor clip RotatedBoxes append nonempty get update check_metadata_consistency keypoint_flip_map dict keypoint_names minimum asarray convert astype maximum randint int32 XYXY_ABS str format getLogger error enumerate str RandomFlip MIN_SIZE_TRAIN_SAMPLING info getLogger MIN_SIZE_TEST MIN_SIZE_TRAIN ResizeShortestEdge MAX_SIZE_TRAIN MAX_SIZE_TEST append get join list items register_coco_instances _get_builtin_metadata register_coco_panoptic_separated register_lvis_instances list join items get_lvis_instances_meta join list format items set _get_builtin_metadata register join register_pascal_voc update _get_coco_instances_meta join format partial getLogger glob map info append Pool len append join glob list asarray isinstance Polygon endswith bounds geoms id buffer difference is_empty nonzero unique append XYXY_ABS union chain warning Timer getCatIds sorted list append get format XYWH_ABS zip loadImgs info seconds keys enumerate join get_local_path loadCats len list sorted format zip warn set info append len get hasattr XYWH_ABS convert len reverse_id_mapper item info append XYXY_ABS sum PolygonMasks enumerate mkdirs dirname register set Timer load_imgs get_local_path format seconds sorted list zip join get set get_lvis_instances_meta startswith info LVIS keys append len sorted join parse findall text append find register set register set register set update append copy width arctan2 cos h pi w new_w sin new_h check_dtype get_transform apply_image append getuid add_argument hash ArgumentParser str read format collect_env_info join config_file CUDNN_BENCHMARK setup_logger get_world_size get_rank mkdirs abspath info OUTPUT_DIR seed_all_rng socket bind close AF_INET SOCK_STREAM _find_free_port spawn main_func list init_process_group new_group synchronize set_device main_func range decode XYWH_ABS has pred_keypoints convert tolist append XYXY_ABS numpy range len arange zeros_like max pairwise_iou Boxes append sum loadAnns range cat getAnnIds mean float proposal_boxes enumerate reshape sort min zeros as_tensor len pop deepcopy evaluate summarize accumulate loadRes AMODALCOCOeval array len COCOeval str format evaluate getLogger min perf_counter timedelta reset info DatasetEvaluators len eval train training get_ann_ids load_anns pop deepcopy format getLogger LVISResults warn get_results create_small_table print_results info LVISEval run append tabulate info int parse findall text append find arange concatenate size maximum sum max range parse_rec cumsum argmax max sum range eps format astype float minimum reshape maximum voc_ap argsort zeros bool array len join list format items getLogger info str getLogger error exit EXPECTED_RESULTS pformat info abs items list isinstance freeze defrost is_frozen CN get_caffe2_inputs C2MetaArch export_caffe2_detection_model property onnx_graph_to_caffe2_net get_available_passes optimize apply get items sorted list infer_device_type _assign_op_device_option get_ssa deepcopy format remove_reshape_for_fc info construct_init_net_from_params get_params_from_init_net fuse_alias_placeholder fuse_copy_between_cpu_and_gpu _assign_device_option remove_dead_end_ops any encode_additional_info _op_stats colored _export_via_onnx group_norm_replace_aten_with_caffe2 tabulate __name__ format save_graph info get arange keypoint_rcnn_inference pred_classes Boxes int64 zeros to apply get from_tensors image_sizes zip append Tensor named_children isinstance ccc RPN patch ROIPooler device int upsample_filt zeros conv_transpose2d warning isinstance is_in_onnx_export FetchBlob arg get_pb_arg get_pb_arg get_pb_arg get_pb_arg get_pb_arg get_pb_arg format extend MakeArgument warning getattr setattr get_pb_arg update data type NetDef list format items isinstance extend warning append type len range enumerate defaultdict append range enumerate len get_ssa get_producer_map deepcopy get_ssa _update_i op reversed zip union deepcopy list _replace_list map output input append partial GetPydotGraph format print write_svg op GetPydotGraphMinimal dirname _modify_blob_names write_png write_pdf makedirs remove format check_set_pb_arg get_pb_arg_vals op get_pb_arg_vali info get_pb_arg decode rename_op_input rename_op_output op extend get_pb_arg_vali append bool enumerate external_output external_input output op zip input range len deepcopy get_ssa get_producer_map rename_op_output _rename_versioned_blob_in_proto get_ssa _rename_versioned_blob_in_proto get_ssa sum format get_all_paths get_producer_map min from_ssa warning get_consumer_map get_ssa op _get_dependency_chain append enumerate join get_ssa format all deepcopy remove get_sub_graph_external_input_output rename_op_output extend info append identify_reshape_sub_graph _fuse_once get_ssa list all extend reversed add set get_consumer_map enumerate isinstance arange grid_sample size expand stack device to split int arange chunk _do_paste_mask device ceil tensor to zeros len fromarray max uint8 min from_numpy resize zeros to numpy array float new_zeros zeros_like nms view size tolist new_zeros nms_rotated min clone to max _output_size tuple meshgrid reshape arange NAME clamp sqrt log2 floor epsilon cat cat pred_boxes has Instances scale paste_masks_in_image proposal_boxes image_size clip expand int squeeze min numel NAME ShapeSpec enumerate IN_FEATURES OUT_CHANNELS FPN build_resnet_backbone FPN channels build_resnet_backbone IN_FEATURES OUT_CHANNELS append block_class range convert_frozen_batchnorm STEM_OUT_CHANNELS make_stage WIDTH_PER_GROUP max DEFORM_NUM_GROUPS FREEZE_AT RES2_OUT_CHANNELS append freeze range OUT_FEATURES DEPTH RES5_DILATION DEFORM_ON_PER_STAGE BasicStem enumerate NORM STRIDE_IN_1X1 parameters DEFORM_MODULATED NUM_GROUPS META_ARCHITECTURE zeros_like tolist argsort item append to shape reshape permute view view NAME NAME ones Instances device image_size log cat len HEAD_NAME arange Instances device tensor clip count all Boxes nonempty append cat isfinite zip batched_nms enumerate sort min image_sizes full len smooth_l1_loss to float32 binary_cross_entropy_with_logits arange RotatedBoxes Instances device tensor clip count all nonempty batched_nms_rotated append cat isfinite zip enumerate sort min image_sizes full len NAME all view reshape Boxes Instances nonzero batched_nms clip NAME put_scalar cross_entropy get_event_storage view gt_keypoints squeeze numel shape cat append tensor to to_heatmap len detach heatmaps_to_keypoints zip cat split put_scalar arange get_event_storage put_image size numel sigmoid stack binary_cross_entropy_with_logits item append to max cat enumerate arange sigmoid zip cat split NAME put_scalar arange get_event_storage put_image size numel sigmoid stack binary_cross_entropy_with_logits item append to max cat enumerate arange sigmoid zip cat split NAME put_scalar arange get_event_storage put_image size numel sigmoid stack binary_cross_entropy_with_logits item append to max cat enumerate arange sigmoid zip cat split NAME put_scalar arange get_event_storage put_image size numel sigmoid stack binary_cross_entropy_with_logits item append to max cat enumerate arange sigmoid zip cat split NAME NAME append squeeze gt_classes put_scalar get_event_storage squeeze numel mean unsqueeze any append tensor all view reshape RotatedBoxes Instances batched_nms_rotated nonzero clip replace join resource_filename merge_from_file load build_model get_cfg WEIGHTS get_checkpoint_url get_config_file WEIGHT_DECAY_NORM isinstance WEIGHT_DECAY_BIAS SGD add named_parameters BASE_LR modules BIAS_LR_FACTOR WEIGHT_DECAY LR_SCHEDULER_NAME min area where clamp_ prod zeros max max min area clamp long argmax arange view exp_ clamp squeeze new_zeros ceil float sum max range frPyObjects merge from_numpy deepcopy max polygons_to_bitmask train training join sorted format check_output strip set isfile append split get str list defaultdict items join format detect_compute_compatibility check_output get_env_module strip device_count is_available tabulate range append origin randint len barrier get_world_size format getLogger from_buffer dumps get_rank warning get_backend device to len get_world_size all_gather tensor max zeros cat _serialize_to_tensor _get_global_gloo_group loads zip append max _pad_to_largest_tensor max zip _get_global_gloo_group loads get_rank append _serialize_to_tensor _pad_to_largest_tensor randint all_gather get_world_size seed int set_rng_state format from_bytes get_state getLogger strftime getpid info urandom spec_from_file_location exec_module module_from_spec get int setUseOpenCL get setup_custom_environment _configure_libraries endswith setup_environment _import_file import_module setFormatter join format _cached_log_stream getLogger addHandler StreamHandler Formatter mkdirs _ColorfulFormatter dirname colored DEBUG setLevel f_back _getframe f_code _find_caller log isinstance _find_caller log get time _find_caller log tuple tabulate zip getattr replace add_transform add_config_value connect items list add_parser ArgumentParser set_defaults add_subparsers create_argument_parser setup_logger func setLevel parse_args verbosity_to_level get format timer info merge_from_file config_file add_densepose_config get_cfg setup_logger merge_from_list default_setup opts freeze verify_results setup resume_or_load build_model test WEIGHTS Trainer eval_only is_main_process CN kaiming_normal_ constant_ named_parameters NAME DensePosePredictor DensePoseDataFilter DensePoseOutput len clamp float min unbind _linear_interpolation_utilities unbind arange grid_sample size expand stack u gt_densepose hasattr y view list clone i unsqueeze full_like zip append v tensor range x len _extract_single_tensors_from_matches_one_image size len extend long cat enumerate DensePoseLosses append tolist range len getLogger _evaluate_predictions_on_coco_gpsm warn _evaluate_predictions_on_coco_gps create_small_table info accumulate summarize DensePoseCocoEval evaluate accumulate summarize DensePoseCocoEval evaluate device numpy clip numpy clip N_PART_LABELS numpy clip has clone has error isinstance getLogger add_pointrend_config CN squeeze unsqueeze grid_sample Size tensor affine_grid int arange view rand point_sample uncertainty_func cat float min shape zeros to transpose get_point_coords_wrt_image append tensor enumerate cat split put_scalar arange size numel binary_cross_entropy_with_logits to cat NAME unsqueeze clone add_tensormask_config new_full int all zeros_like size min max cat tolist empty_like paste_masks_in_image unique append tensor cat clip pred_boxes Instances nonempty _paste_mask_lists_in_image image_size CN add_tridentnet_config CN append block_class range convert_frozen_batchnorm STEM_OUT_CHANNELS BRANCH_DILATIONS WIDTH_PER_GROUP max TRIDENT_STAGE DEFORM_NUM_GROUPS FREEZE_AT RES2_OUT_CHANNELS append freeze range OUT_FEATURES DEPTH RES5_DILATION DEFORM_ON_PER_STAGE BasicStem enumerate pop NORM STRIDE_IN_1X1 TEST_BRANCH_IDX parameters DEFORM_MODULATED NUM_BRANCH NUM_GROUPS scores pred_classes append tensor batched_nms range cat len sum arange grid_sample from_numpy shape meshgrid to append randn clamp rand Boxes benchmark manual_seed is_available cat merge_from_file get_cfg get_config_file BitMasks rand Boxes Instances to BitMasks rand Boxes Instances to benchmark is_available stack benchmark append format setup info IMS_PER_BATCH build_detection_train_loader total available iter Timer seconds trange next range virtual_memory load list format setup build_model build_optimizer islice f WEIGHTS build_detection_train_loader DetectionCheckpointer DistributedDataParallel defrost register_hooks info SimpleTrainer train load Timer list format setup build_model model islice build_detection_test_loader WEIGHTS eval defrost info seconds range add_export_config evaluator_type join COCOPanopticEvaluator COCOEvaluator SemSegEvaluator append OUTPUT_DIR join format print_csv_format get_evaluator inference_on_dataset build_detection_test_loader OrderedDict info OUTPUT_DIR TEST is_main_process get PeriodicCheckpointer build_lr_scheduler CHECKPOINT_PERIOD format MAX_ITER build_optimizer build_detection_train_loader DetectionCheckpointer info train OUTPUT_DIR format DistributedDataParallel do_train info update test_with_TTA ENABLED register_hooks add_argument ArgumentParser show join format print waitKey imshow save asarray XYWH_ABS convert Boxes Instances XYXY_ABS | waiyulam/ORCNN | 4,056 |
walegahaha/Curls-Whey | ['adversarial attack'] | ['Curls & Whey: Boosting Black-Box Adversarial Attacks'] | attacks/__init__.py untargeted_attack.py fmodel.py bmodels/ensemble.py targeted_attack.py fmodels/resnet/resnet101.py bmodels/inceptionv3/inceptionv3.py bmodel.py attacks/curls_targeted.py utils.py fmodels/ensemble.py attacks/curls_untargeted.py create_bmodel create_fmodel main run_attack_curls_whey test main run_attack_curls_whey test store_adversarial read_images _read_image _load_image check_image compute_MAD L2GradientMixin L2BasicIterativeAttack IterativeProjectedGradientBaseAttack sigmoid L2DistanceCheckMixin L2ClippingMixin L2GradientMixin L2BasicIterativeAttack IterativeProjectedGradientBaseAttack sigmoid L2DistanceCheckMixin L2ClippingMixin EnsembleNet InceptionB InceptionC InceptionAux BasicConv2d InceptionD InceptionE InceptionA Inception3 inception_v3 EnsembleNet ResNet resnet50 Bottleneck resnet152 conv3x3 resnet34 resnet18 BasicBlock resnet101 PyTorchModel eval EnsembleNet PyTorchModel eval EnsembleNet load join str norm deepcopy curls_targeted ones astype float32 random TargetClass any dirname abspath attack bool round range seed int store_adversarial norm read_images print random exit rmtree mkdir compute_MAD attack_func exists print CompositeModel test create_bmodel create_fmodel curls_untargeted Misclassification load join astype float32 _load_image sort list keys uint8 warning clip astype join check_image save median format print mean distance array append load_image float listdir worst_case_distance load_url Inception3 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 load_url ResNet load_state_dict | walegahaha/Curls-Whey | 4,057 |
wanggrun/SYSU-30k | ['person re identification'] | ['Weakly Supervised Person Re-ID: Differentiable Graphical Learning and A New Benchmark'] | GraphReID/EvaluatingYourOwnMethod/test_sysu_combine.py GraphReID/UnaryTerm_PairwiseTerm_WeaklyTripletLoss/data/msmt17_folder.py GraphReID/UnaryTerm_PairwiseTerm_WeaklyTripletLoss/data/market1501_folder.py GraphReID/UnaryTerm_PairwiseTerm_WeaklyTripletLoss/data/market1501.py GraphReID/UnaryTerm_Only/train_weak.py GraphReID/UnaryTerm_Only/model.py GraphReID/UnaryTerm_PairwiseTerm_WeaklyTripletLoss/trainer.py GraphReID/UnaryTerm_PairwiseTerm_WeaklyTripletLoss/utils/utility.py GraphReID/UnaryTerm_PairwiseTerm_WeaklyTripletLoss/utils/functions.py GraphReID/UnaryTerm_PairwiseTerm_WeaklyTripletLoss/data/sampler.py GraphReID/UnaryTerm_PairwiseTerm_WeaklyTripletLoss/main.py GraphReID/UnaryTerm_Only/myImage.py GraphReID/UnaryTerm_Only/random_erasing.py GraphReID/UnaryTerm_PairwiseTerm_WeaklyTripletLoss/loss/CrossEntropyLoss.py GraphReID/UnaryTerm_PairwiseTerm_WeaklyTripletLoss/model/mgn.py GraphReID/EvaluatingYourOwnMethod/model.py GraphReID/UnaryTerm_PairwiseTerm_WeaklyTripletLoss/model/__init__.py GraphReID/UnaryTerm_PairwiseTerm_WeaklyTripletLoss/utils/n_adam.py GraphReID/UnaryTerm_PairwiseTerm_WeaklyTripletLoss/data/__init__.py GraphReID/UnaryTerm_PairwiseTerm_WeaklyTripletLoss/loss/__init__.py GraphReID/UnaryTerm_PairwiseTerm_WeaklyTripletLoss/loss/triplet.py Using_SYSU30k_Test_Set/model.py GraphReID/UnaryTerm_Only/mySampler.py GraphReID/UnaryTerm_PairwiseTerm_WeaklyTripletLoss/option.py GraphReID/UnaryTerm_PairwiseTerm_WeaklyTripletLoss/data/cuhk03_folder.py GraphReID/UnaryTerm_PairwiseTerm_WeaklyTripletLoss/utils/re_ranking.py GraphReID/UnaryTerm_PairwiseTerm_WeaklyTripletLoss/utils/random_erasing.py Using_SYSU30k_Test_Set/test_sysu_combine.py GraphReID/UnaryTerm_PairwiseTerm_WeaklyTripletLoss/data/common.py GraphReID/UnaryTerm_PairwiseTerm_WeaklyTripletLoss/__init__.py GraphReID/UnaryTerm_PairwiseTerm_WeaklyTripletLoss/utils/nadam.py GraphReID/UnaryTerm_Only/mySelect.py ft_net_dense ClassBlock ft_net PCB_test weights_init_classifier ft_net_middle PCB weights_init_kaiming extract_feature evaluate compute_mAP get_id load_network fliplr ft_net_dense ClassBlock ft_net PCB_test weights_init_classifier ft_net_middle PCB weights_init_kaiming DatasetFolder find_classes make_dataset ImageFolder accimage_loader default_loader has_file_allowed_extension pil_loader mySampler mySelect RandomErasing train_model save_network draw_curve Data list_pictures CUHK03_folder Market1501 Market1501_folder MSMT17_folder RandomSampler Data CrossEntropyLoss TripletLoss_full TripletLoss TripletSemihardLoss Loss make_model MGN Model mean_ap _unique_sample cmc Nadam NAdam RandomErasing k_reciprocal_neigh re_ranking make_optimizer make_scheduler checkpoint ft_net_dense ClassBlock ft_net PCB_test weights_init_classifier ft_net_middle PCB weights_init_kaiming extract_feature evaluate compute_mAP get_id load_network fliplr data normal constant __name__ kaiming_normal data normal constant __name__ load join which_epoch load_state_dict index_select long norm use_dense view FloatTensor print Variable size model div cuda zero_ expand_as cpu PCB fliplr range cat append int setdiff1d compute_mAP dot argsort intersect1d argwhere append flatten argwhere in1d zero_ range len lower sort join sorted has_file_allowed_extension append expanduser listdir walk list tolist set argsort array append zeros argmax max range len data draw_curve Softmax model batchsize zero_grad max cuda mySelect sm step load_state_dict append range state_dict format astype save_network time criterion backward print Variable idnum train numpy len join plot savefig legend append join save is_available cuda state_dict zeros list items choice asarray arange defaultdict astype argsort shape savetxt _unique_sample int32 zip append zeros range enumerate len asarray arange astype average_precision_score argsort shape int32 append range zeros_like around max list exp transpose append sum range concatenate astype mean unique minimum int float32 argpartition k_reciprocal_neigh zeros len Adam RMSprop SGD parameters filter weight_decay lr pop list StepLR map MultiStepLR split | wanggrun/SYSU-30k | 4,058 |
wangguanan/JSIA-ReID | ['person re identification'] | ['Cross-Modality Paired-Images Generation for RGB-Infrared Person Re-Identification'] | core/__init__.py tools/evaluation/__init__.py tools/transforms2.py core/data_loader/loader.py core/visualize.py tools/__init__.py core/train.py tools/evaluation/classification.py tools/utils.py core/networks.py tools/evaluation/sysu_mm01_matlab/__init__.py core/test.py tools/loss.py tools/logger.py tools/meter.py tools/evaluation/sysu_mm01_python/evaluate_sysymm01.py main.py core/base.py tools/evaluation/sysu_mm01_python/__init__.py core/data_loader/__init__.py tools/metric.py core/data_loader/samples.py core/data_loader/sampler.py main Base ResBlock ModSpecEncoderr SpectralNorm MLP l2normalize Generator Decoder ResBlocks LayerNorm Encoder AdaptiveInstanceNorm2d BNClassifier weights_init_classifier Conv2dBlock weights_init Discriminator LinearBlock weights_init_kaiming compute_and_save_features evalutate test train_an_epoch train_gan_an_iter train_reid_an_iter train_pixel_an_iter shuffle_styles visualize ReIDDataSet IterLoader UniformSampler Seeds os_walk ReIDSamples Loaders Logger CrossEntropyLabelSmooth TripletLoss RankingLoss MultiItemAverageMeter CatMeter RandomErasing rgb2gray norm denorm os_walk make_dirs time_now accuracy DataCam calc Args evaluate_sysymm01 calc_rank calc_dist calc_one save_model pretrained_model_path model_list os_walk Logger warmup_reid_epoches visualize list sorted logger save_models_path make_dirs save_features_path append range time_now format output_path test set train_epoches keys save_images_path join Loaders resume_model_from_path int deepcopy remove resume_model warmup_gan_epoches pretrained_model_epoch difference train_an_epoch Base len affine bias kaiming_normal_ weight __name__ constant_ bias normal_ weight __name__ constant_ compute_and_save_features set_eval evalutate evaluate_sysymm01 save_features_path modes number_shots update join format print save_features_path array savemat resize append get_val_numpy range time_now data update train_gan_an_iter set_train train_reid_an_iter backward zero_grad MultiItemAverageMeter train_pixel_an_iter lr_scheduler_step step range calc_gen_loss decode weight_gan_feature reconst_loss weight_gan_image calc_dis_loss encode next_one detach encoder kl_loss ide_creiteron encoder triplet_creiteron next_one Tensor join set_eval format gan_p gan_k cpu save_image save_images_path cat list permutation extend range cat sorted walk tensor to repeat clone to to makedirs topk size t eq mul_ expand_as append sum max join list concatenate close map array zip sum Pool len data arange mean calc_rank append to_list range array zeros len max min argsort calc_dist zeros flip flatnonzero sqrt sum join list concatenate cumsum getcwd calc Args mean zip | wangguanan/JSIA-ReID | 4,059 |
wangguanzhi/LADN | ['style transfer'] | ['LADN: Local Adversarial Disentangling Network for Facial Makeup and De-Makeup'] | src/networks.py src/run.py src/utils/geo_util.py src/dataset.py src/options.py src/util.py src/utils/constants.py src/saver.py src/utils/api_util.py src/utils/train_util.py src/model.py src/utils/helpers.py dataset_makeup LADN LeakyReLUConv2d G Dis_pair Dis E_content init_weights get_scheduler MultiScaleDis init_net Dis_content Residule_Block E_attr Options main save_imgs tensor2img Saver PIL2array FacePPAPI cropFaceBBox expandConvex facePartsCoordinatesAPI LambdaLR ReduceLROnPlateau StepLR print apply init_weights to test_forward dataset_makeup DataLoader unsqueeze set_scheduler Saver write_model update_D_local_style Options style_dis interpolate_forward LADN local_style_dis write_display range cat detach parse save_interpolate_img save_test_img resume update_EG interpolate_num update_lr update_D update_D_style enumerate int write_test_img print n_ep update_D_content write_img len transpose numpy tile fromarray join mkdir save zip tensor2img mean tolist array astype max boundingRect array int getLandmarkByName astype mean FacePPAPI append round enumerate | wangguanzhi/LADN | 4,060 |
wangkenpu/rsrgan | ['speech recognition', 'robust speech recognition', 'speech enhancement'] | ['Investigating Generative Adversarial Networks based Speech Dereverberation for Robust Speech Recognition'] | reverberate/steps/nnet3/chain/gen_topo5.py scripts/train_gan_rnn_placeholder.py models/dnn_trainer_single_gpu.py reverberate/steps/libs/nnet3/train/frame_level_objf/raw_model.py scripts/train_segan.py utils/misc.py reverberate/utils/nnet/gen_splice.py reverberate/utils/lang/make_phone_lm.py reverberate/utils/data/extend_segment_times.py io_funcs/tfrecords_dataset.py reverberate/steps/libs/nnet3/xconfig/utils.py reverberate/steps/nnet3/components.py io_funcs/make_tfrecords.py reverberate/steps/libs/nnet3/train/dropout_schedule.py reverberate/steps/nnet3/report/generate_plots.py reverberate/utils/filt.py models/rced.py reverberate/steps/libs/nnet3/train/frame_level_objf/acoustic_model.py reverberate/steps/nnet3/train_rnn.py reverberate/steps/nnet2/make_multisplice_configs.py models/gan.py reverberate/steps/dict/prune_pron_candidates.py reverberate/steps/cleanup/internal/get_pron_stats.py reverberate/steps/nnet3/make_tdnn_configs.py reverberate/utils/nnet/gen_hamm_mat.py reverberate/steps/libs/nnet3/report/log_parse.py reverberate/steps/libs/nnet3/xconfig/lstm.py models/gan_rnn.py io_funcs/kaldi_io.py reverberate/steps/nnet3/get_successful_models.py reverberate/steps/nnet3/dot/descriptor_parser.py reverberate/utils/nnet/make_cnn_proto.py reverberate/steps/libs/nnet3/xconfig/parser.py reverberate/steps/libs/nnet3/xconfig/layers.py utils/generate_plots.py models/segan.py reverberate/steps/libs/nnet3/report/__init__.py reverberate/steps/dict/apply_lexicon_edits.py reverberate/steps/libs/nnet3/__init__.py reverberate/steps/libs/nnet3/xconfig/__init__.py utils/bnorm.py reverberate/steps/dict/select_prons_bayesian.py models/BNLSTMCell.py reverberate/steps/diagnostic/analyze_phone_length_stats.py models/dnn_trainer.py models/__init__.py reverberate/steps/conf/prepare_word_categories.py reverberate/steps/cleanup/internal/get_non_scored_words.py reverberate/steps/dict/internal/prune_pron_candidates.py reverberate/steps/nnet3/make_jesus_configs.py reverberate/steps/cleanup/make_biased_lms.py reverberate/steps/libs/nnet3/train/chain_objf/acoustic_model.py scripts/train_dnn.py utils/__init__.py reverberate/steps/conf/prepare_calibration_data.py models/discriminator_lstm.py reverberate/steps/conf/append_prf_to_ctm.py reverberate/steps/libs/common.py io_funcs/make_tfrecords_rta.py reverberate/steps/nnet3/train_raw_rnn.py reverberate/steps/conf/parse_arpa_unigrams.py scripts/train_gan_dnn_iter_dataset.py utils/ops.py reverberate/utils/nnet/make_lstm_proto.py reverberate/utils/nnet/gen_dct_mat.py reverberate/steps/data/reverberate_bash.py reverberate/steps/nnet3/chain/gen_topo4.py reverberate/steps/nnet3/report/summarize_compute_debug_timing.py io_funcs/tfrecords_io_test.py reverberate/steps/nnet3/xconfig_to_configs.py io_funcs/tfrecords_io.py models/gan_rnn_placeholder.py reverberate/utils/reverse_arpa.py reverberate/utils/lang/internal/arpa2fst_constrained.py utils/select_data.py reverberate/utils/nnet/make_blstm_proto.py reverberate/steps/cleanup/internal/modify_ctm_edits.py io_funcs/verify_tfrecords.py reverberate/steps/nnet3/tdnn/make_configs.py scripts/get_train_val_scp.py models/res_lstm_i.py reverberate/steps/cleanup/internal/segment_ctm_edits.py reverberate/steps/conf/append_eval_to_ctm.py models/discriminator.py reverberate/steps/cleanup/internal/get_ctm_edits.py reverberate/steps/libs/nnet3/train/common.py models/discriminator_dnn.py scripts/train_dnn_single_gpu.py reverberate/steps/nnet3/chain/gen_topo3.py utils/common.py reverberate/steps/dict/prons_to_lexicon.py io_funcs/convert_cmvn_to_numpy.py reverberate/steps/libs/nnet3/train/frame_level_objf/__init__.py models/cnn.py models/lstm.py scripts/train_gan_dnn.py reverberate/steps/nnet3/chain/train.py reverberate/steps/libs/nnet3/train/frame_level_objf/common.py models/bnlstm.py reverberate/steps/nnet3/chain/gen_topo_orig.py reverberate/steps/libs/nnet3/train/__init__.py reverberate/steps/nnet3/dot/nnet3_to_dot.py reverberate/steps/diagnostic/analyze_lattice_depth_stats.py reverberate/steps/conf/convert_ctm_to_tra.py reverberate/utils/data/internal/modify_speaker_info.py reverberate/steps/libs/nnet3/xconfig/basic_layers.py reverberate/steps/dict/get_pron_stats.py reverberate/steps/nnet3/train_dnn.py reverberate/steps/nnet3/lstm/make_configs.py reverberate/steps/cleanup/internal/make_one_biased_lm.py reverberate/steps/data/reverberate_data_dir.py scripts/train_rnn.py reverberate/steps/nnet3/chain/gen_topo.py reverberate/utils/nnet/make_nnet_proto.py io_funcs/tfrecords_dataset_test.py models/res_lstm_l.py reverberate/steps/libs/nnet3/train/chain_objf/__init__.py models/rnn_trainer.py reverberate/utils/lang/internal/modify_unk_pron.py models/res_lstm_base.py scripts/train_gan_rnn.py reverberate/steps/cleanup/internal/taint_ctm_edits.py reverberate/utils/nnet/make_cnn2d_proto.py reverberate/steps/cleanup/combine_short_segments.py reverberate/steps/nnet3/chain/gen_topo2.py models/generator.py reverberate/steps/nnet3/train_raw_dnn.py reverberate/utils/data/internal/choose_utts_to_combine.py reverberate/steps/libs/__init__.py scripts/train_gan_dnn_iter.py models/dnn.py reverberate/steps/data/data_dir_manipulation_lib.py convert_cmvn_to_numpy read_binary_file PerColHeader GlobalHeader ArkReader ArkWriter main convert_to make_config_file main convert_to make_config_file get_padded_batch get_batch make_sequence_example main get_padded_batch get_batch splice_feats read_tfrecords make_sequence_example main main BNLSTM batch_norm BNLSTMCell CNN discriminator discriminator_dnn nnet_info dropout discriminator_lstm DNN Model DNNTrainer Model DNNTrainer Model GAN Model GAN_RNN Model GAN_RNN AEGenerator Generator LSTM RCED RES_LSTM_BASE RES_LSTM_I RES_LSTM_L Model RNNTrainer Model SEGAN ParseFileToDict GetArgs MakeDir CheckFiles ParseDataDirInfo CombineSegments GetCombinedUttIndexRange Main WriteCombinedDirFiles WriteDictToFile RunKaldiCommand ProcessGroupOfLines FloatToString OpenFiles ProcessOneUtterance ProcessData PadArrays GetEditType OutputCtm ReadLang CheckArgs GetArgs GetStatsFromCtmProns WriteStats Main ReadEntries NgramCounts ProcessUtterance ProcessUtteranceForRepetitions ReadNonScoredWords PrintRepetitionStats ProcessData PrintNonScoredStats ProcessLineForNonScoredWords AccumulateSegmentStats FloatToString GetSegmentsForUtterance ComputeSegmentCores WriteSegmentsForUtterance PrintDebugInfoForUtterance PrintWordStats PrintSegmentStats ReadNonScoredWords IsTainted ProcessData Segment AccWordStatsForUtterance TimeToString ProcessUtterance ProcessData PrintStats PrintNonScoredStats RunKaldiCommand GetArgs SmoothProbabilityDistribution PickItemWithProbability GenerateReverberatedWavScp CheckArgs AddPrefixToFields ParseNoiseList MakeRoomDict CreateReverberatedCopy ParseSetParameterStrings GenerateReverberationOpts almost_equal Main GetNewId WriteDictToFile ParseFileToDict list_cyclic_iterator AddPointSourceNoise ParseRirList GetArgs SmoothProbabilityDistribution PickItemWithProbability GenerateReverberatedWavScp CheckArgs AddPrefixToFields ParseNoiseList MakeRoomDict CreateCorruptedUtt2uniq CreateReverberatedCopy ParseSetParameterStrings GenerateReverberationOpts almost_equal Main GetNewId WriteDictToFile ParseFileToDict list_cyclic_iterator AddPointSourceNoise ParseRirList GetPercentile GetMean GetPercentile GetMean CheckArgs GetArgs WriteLexicon ApplyLexiconEdits ReadLexicon Main CheckArgs GetArgs WriteStats Main GetStatsFromArcInfo CheckArgs GetArgs WriteLexicon ConvertWordCountsToProbs NormalizeLexicon ConvertWordProbsToLexicon ReadLexicon Main StrToBoolAction ReadStats CheckArgs GetArgs ReadLexicon Main PruneProns ReadStats CheckArgs GetArgs WriteEditsAndSummary ReadPronStats ComputePosteriors ReadLexicon ReadWordCounts ComputePriorCounts Main FilterPhoneticDecodingLexicon SelectPronsBayesian WriteLearnedLexiconOov CheckArgs GetArgs ReadLexicon Main PruneProns ReadStats compute_idct_matrix send_mail force_symlink BackgroundProcessHandler NullstrToNoneAction read_kaldi_matrix compute_lifter_coeffs get_feat_dim str_to_bool run_job StrToBoolAction get_number_of_leaves_from_model check_if_cuda_compiled get_feat_dim_from_scp KaldiCommandException write_idct_matrix get_number_of_leaves_from_tree write_kaldi_matrix get_ivector_dim run_kaldi_command split_data get_number_of_jobs get_ivector_extractor_id generate_acc_logprob_report parse_train_logs parse_difference_string MalformedClippedProportionLineException parse_prob_logs KaldiLogParseException parse_progress_logs_for_clipped_proportion parse_progress_logs_for_nonlinearity_stats parse_progress_logs_for_param_diff self_test copy_egs_properties_to_exp_dir remove_model remove_nnet_egs parse_generic_config_vars_file validate_range_str do_shrinkage CommonParser validate_minibatch_size_str verify_iterations halve_minibatch_size_str get_average_nnet_model prepare_initial_network principal_chunk_width get_successful_models verify_egs_dir validate_chunk_width clean_nnet_dir compute_presoftmax_prior_scale halve_range_str get_best_nnet_model get_learning_rate RunOpts smooth_presoftmax_prior_scale_vector _parse_dropout_option _parse_dropout_string _get_dropout_proportions get_dropout_edit_string _get_component_dropout _self_test compute_preconditioning_matrix create_phone_lm train_new_models prepare_initial_acoustic_model compute_train_cv_probabilities combine_models train_one_iteration create_denominator_fst check_for_required_files compute_progress generate_chain_egs generate_egs prepare_initial_acoustic_model compute_preconditioning_matrix align train_new_models get_realign_iters compute_train_cv_probabilities adjust_am_priors train_one_iteration compute_progress realign compute_average_posterior combine_models generate_egs_using_targets test_layers XconfigLayerBase XconfigTrivialOutputLayer XconfigInputLayer XconfigBasicLayer XconfigAffineLayer XconfigOutputLayer XconfigFixedAffineLayer XconfigFastLstmpLayer XconfigFastLstmLayer XconfigLstmLayer XconfigLstmpLayer read_xconfig_file xconfig_line_to_object tokenize_descriptor get_prev_names is_valid_line_name get_string_from_layer_name test_library convert_value_to_type split_layer_name Descriptor get_dim_from_layer_name replace_bracket_expressions_in_descriptor parse_new_descriptor parse_config_line expect_token AddAffRelNormLayer AddLdaLayer AddSoftmaxLayer AddAffineLayer AddSigmoidLayer AddOutputLayer AddAffPnormLayer AddLstmLayer AddMaxpoolingLayer AddFixedAffineLayer AddFinalLayer AddPermuteLayer AddBlockAffineLayer AddBLstmLayer AddConvolutionLayer GetSumDescriptor AddInputLayer AddNoOpLayer StatisticsConfig main train process_args get_args main train process_args get_args main train process_args get_args main train process_args get_args get_config_headers get_args write_expanded_xconfig_files write_config_files add_back_compatibility_info main backup_xconfig_file check_args main train process_args get_args IdentifyNestedSegments ParseSubsegmentsAndArguments ProcessReplaceIndexDescriptor ProcessSumDescriptor ProcessIfDefinedDescriptor ProcessRoundDescriptor ParseNnet3String ProcessAppendDescriptor DescriptorSegmentToDot Nnet3OutputToDot Nnet3DimrangeToDot GetDotNodeName Nnet3DescriptorToDot ProcessOffsetDescriptor Nnet3ComponentToDot Nnet3ComponentNodeToDot ParseConfigLines GroupConfigs Nnet3InputToDot CheckArgs GetArgs ProcessSpliceIndexes Main ParseLstmDelayString PrintConfig ParseSpliceString MakeConfigs Main GetArgs FindOpenParanthesisPosition ExtractCommandName CheckArgs GetArgs ParseCnnString Main PrintConfig AddConvMaxpLayer ParseSpliceString AddCnnLayers MakeConfigs FloatToString CombineList SelfTest LessThan GetUtteranceGroups GetFormatString SplitIntoGroups NgramCounts CountsForHistory ReadBigramMap HistoryState ArpaModel main decode get_num_batch train_one_iteration main train eval_one_iteration decode get_num_batch train_one_iteration main train eval_one_iteration decode run_batch get_num_batch train_one_iteration main train eval_one_iteration decode get_num_batch train_one_iteration main train eval_one_iteration vbn VBN execute_command get_command_stdout get_args generate_loss_plots main parse_loss_log parse_loss_log_adversarial show_all_variables check_tensorflow_version str2bool read_list leakyrelu variables_on_cpu minmax_normalize exponential_decay minmax_denormalize softmax_cross_entropy_with_logits tensor_summary prelu repeat_elements variables_on_gpu average_gradients batch_to_time atrous_conv1d nn_deconv conv1d conv2d gaussian_noise_layer highway time_to_batch deconv downconv histogram_summary sample_random_walk audio_summary residual_block scalar_summary join savez print read_binary_file sqrt int read seek print reshape exit close unpack frombuffer open join copyfile load join cmvn_dir remove makedirs ArkReader make_config_file apply_cmvn convert_to name inputs labels test output_dir rt60 FeatureLists Features TFRecordDataset group_by_window shuffle map apply make_one_shot_iterator get_next repeat prefetch batching_func TFRecordDataset shuffle map make_one_shot_iterator get_next repeat prefetch unbatch batch append join info data_dir read TFRecordReader string_input_producer add_queue_runner PaddingFIFOQueue splice_feats parse_single_sequence_example QueueRunner read TFRecordReader string_input_producer parse_single_sequence_example slice pad range append add_queue_runner PaddingFIFOQueue splice_feats dequeue_many read_tfrecords RandomShuffleQueue QueueRunner Glob input_data_pattern set_verbosity INFO len as_list expand_dims sqrt truncated_normal_initializer relu print l2_scale format join argv print add_argument ArgumentParser parse_args communicate Popen mkdir format open value_processor split join list format sort write close keys open ParseFileToDict data_dir_file exists min max len pop join list remove format out_dir_file sort append WriteDictToFile keys pop deepcopy format ParseDataDirInfo insert sort GetCombinedUttIndexRange tuple warn WriteCombinedDirFiles append keys range GetArgs output_data_dir MakeDir CheckFiles format minimum_duration CombineSegments print input_data_dir copy exists RunKaldiCommand join format print Popen exit close split lm_opts flush len symbol_table format print readlines close exit set add oov split ctm_edits_out ctm_in edits_in open append len format FloatToString format print exit GetEditType range len list exit PadArrays zip append OutputCtm split readline format print len exit ProcessOneUtterance edits_in append split int str format print readlines exit add set split CheckArgs stdin stdout silence_file stats_file non_scored_words_file ctm_prons_file optional_silence_file open add strip set get join isinstance insert endswith readlines len reversed add set append float union split print iteritems format close pop non_scored_words_file_handle GetStatsFromCtmProns WriteStats silence_file_handle ReadEntries optional_silence_file_handle stats_file_handle ctm_prons_file_handle format readlines exit close add open split append range len append ProcessUtteranceForRepetitions ProcessLineForNonScoredWords ProcessUtterance join close ctm_edits_out ctm_edits_in open sorted format print sum keys values sorted format print sum keys values append range reversed len sorted print keys range len AccumulateSegmentStats MergeWithSegment ContainsAtLeastOneScoredNonOovWord PossiblyAddTaintedLines ComputeSegmentCores PossiblyTruncateBoundaries RelaxBoundaryTruncation PossiblyAddUnkPadding PossiblyTruncateEndForJunkProportion PossiblyTruncateStartForJunkProportion append float range JunkProportion len round str print StartTime Text frame_length range EndTime TimeToString len str sorted list join print DebugInfo frame_length append float range TimeToString len end_index start_index range len items sorted format print close open GetSegmentsForUtterance segments_out PrintDebugInfoForUtterance WriteSegmentsForUtterance text_out AccWordStatsForUtterance range len join format print sum values warn output_dir makedirs list isinstance set uniform sum values str format rir_list PickItemWithProbability random rir_rspecifier noise_rspecifier uniform append randint round range format rir_list AddPointSourceNoise PickItemWithProbability noise_rspecifier uniform append str WriteDictToFile format sort GetNewId keys range GenerateReverberationOpts join print close map open GetNewId range split ParseFileToDict format print GenerateReverberatedWavScp values RunKaldiCommand sum float probability warn strip append float setattr split format add_argument map rir_rspecifier ParseSetParameterStrings ArgumentParser filename open append sum setattr keys format SmoothProbabilityDistribution add_argument map noise_rspecifier ParseSetParameterStrings ArgumentParser filename append keys open seed sum ParseNoiseList source_sampling_rate MakeRoomDict CreateReverberatedCopy rir_set_para_array ParseRirList random_seed noise_set_para_array rir_smoothing_weight noise_smoothing_weight len ParseFileToDict WriteDictToFile sort GetNewId keys range next next list_cyclic_iterator floor AddPrefixToFields isfile map CreateCorruptedUtt2uniq split items sorted int sum values sum values lexicon_edits_file out_lexicon in_lexicon join readlines add set split discard print strip readlines add startswith split print format close WriteLexicon ApplyLexiconEdits out_lexicon_handle lexicon_edits_file_handle ReadLexicon in_lexicon_handle arc_info_file phone_map get join iteritems defaultdict readlines add float split phone_map_handle GetStatsFromArcInfo arc_info_file_handle filter_lexicon get join stats_file_handle float split append iteritems float get iteritems get iteritems iteritems min_prob add set len ConvertWordCountsToProbs NormalizeLexicon close ConvertWordProbsToLexicon filter_lexicon_handle ReadStats pron_stats ref_lexicon pruned_prons iteritems defaultdict sort readlines append defaultdict pop iteritems format r print ceil float len pron_stats_handle ref_lexicon_handle PruneProns pron_posteriors learned_lexicon_oov ref_lexicon_edits word_counts_file phonetic_decoding_lexicon pron_stats_file g2p_lexicon split range join float readlines split int readlines split iteritems remove format print strip add set silence_file_handle split sum defaultdict get iteritems sorted defaultdict format print extend append sum len pop iteritems variants_prob_mass defaultdict format print variants_counts add ceil len get sorted format print add append len print iteritems format close WriteEditsAndSummary g2p_lexicon_handle ReadPronStats word_counts_file_handle ComputePosteriors ReadWordCounts phonetic_decoding_lexicon_handle ComputePriorCounts pron_stats_file_handle FilterPhoneticDecodingLexicon SelectPronsBayesian WriteLearnedLexiconOov learned_lexicon_oov_handle format Popen communicate Popen communicate add_process Popen communicate add_process Popen int format run_kaldi_command split int format run_kaldi_command split int strip int format run_kaldi_command format run_kaldi_command int format run_kaldi_command int format run_kaldi_command format run_kaldi_command readlines map range len symlink float range pi sin cos pi sqrt compute_lifter_coeffs float range append write_kaldi_matrix compute_idct_matrix range int search groups float compile split float split int list sort search groups set add append float max range compile split max list format sort len search parse_difference_string groups set keys warning union range compile split max values search groups float keys compile split list format sort search groups intersection keys compile split str format parse_train_logs parse_prob_logs timedelta append keys str format readlines search index warn sub append float max range compile len format run_job format run_job int split split split append join split append halve_range_str format split copy2 format isfile strip int split open int readline rstrip strip warning remove format write_kaldi_matrix force_symlink glob smooth_presoftmax_prior_scale_vector run_job map pow append sum range len run_job exists format int min set add float range exp log float format run_kaldi_command split format run_job remove_nnet_egs range remove_model remove format isfile ArgumentParser format info _parse_dropout_string append split error len reverse append float range split next append _parse_dropout_option join format _get_dropout_proportions info append _get_dropout_proportions assert_approx_equal int readline join format run_job open format run_job format run_job int format communicate wait close append range run_job int remove format get_best_nnet_model get_successful_models strip train_new_models range compute_train_cv_probabilities sqrt warning info compute_progress halve_minibatch_size_str float get_average_nnet_model exists append remove format force_symlink map range run_job format prepare_initial_network run_job format run_job format run_job sorted format run_job print add compute_train_cv_probabilities info append exists format run_job int pow sqrt append float split format run_job info format align adjust_am_priors info compute_average_posterior run_job format run_job remove format glob sleep run_job format get_feat_dim_from_scp run_job parse_config_line readline close xconfig_line_to_object append open append add get_name set join split split_layer_name split_layer_name int len Descriptor append expect_token append int split append replace_bracket_expressions_in_descriptor split join len search map group dict append range finditer split print str format parse_config_line pop format append str join format print append append format append format append format append join format map append format append format append format append format append format append format append format append format str format AddSoftmaxLayer AddAffineLayer AddSigmoidLayer AddOutputLayer append append abs strip format format AddLstmLayer join argv print add_argument process_args ArgumentParser parse_args use_gpu num_jobs_compute_prior RunOpts command ali_dir warning compute_preconditioning_matrix copy_egs_properties_to_exp_dir remove_model parse_generic_config_vars_file prepare_initial_acoustic_model adjust_am_priors train_one_iteration send_mail num_jobs_final feat_dir cleanup num_jobs_initial dir ali_dir verify_iterations email get_feat_dim combine_models generate_egs run_job range frames_per_eg reporting_interval format generate_acc_logprob_report verify_egs_dir copy clean_nnet_dir compute_presoftmax_prior_scale pformat egs_dir info max_models_combine vars float num_epochs compute_average_posterior int preserve_model_interval get_ivector_dim add_layers_period online_ivector_dir split_data remove_egs get_number_of_jobs get_ivector_extractor_id BackgroundProcessHandler train get_args ensure_processes_are_done generate_egs_using_targets str_to_bool prepare_initial_network use_dense_targets deriv_truncate_margin chunk_left_context chunk_right_context check_args config_dir makedirs join readline format argv print strip close open join str argv print close normalize_descriptors open join defaultdict argv items remove get_config_headers defaultdict get_full_config format print close append sum open int format force_symlink strip run_kaldi_command write close open split write_expanded_xconfig_files read_xconfig_file xconfig_file add_back_compatibility_info config_dir backup_xconfig_file write_config_files format deriv_truncate_margin lat_dir check_for_required_files create_phone_lm frame_subsampling_factor generate_chain_egs tree_dir run_kaldi_command lat_dir create_denominator_fst append strip map split pop insert ParseSubsegmentsAndArguments append range len sub join format has_key append range len append format has_key append format has_key join format has_key append range len append format has_key append format append IdentifyNestedSegments format pop strip sub split append range len has_key keys intersection append format append GetDotNodeName format append GetDotNodeName format append format ParseNnet3String insert append GroupConfigs keys add_mutually_exclusive_group num_lstm_layers get_number_of_leaves_from_tree feat_dir print get_ivector_dim tree_dir num_targets exit strip ali_dir config_dir ParseLstmDelayString get_feat_dim ivector_dir join close write open print len map append max range split map split append range len deepcopy AddAffRelNormLayer AddLdaLayer format insert AddLstmLayer AddFinalLayer AddBLstmLayer PrintConfig AddOutputLayer AddInputLayer keys range str print strip close ParseSpliceString open splice_indexes num_lstm_layers label_delay config_dir MakeConfigs ProcessSpliceIndexes split append strip pop len strip join FindOpenParanthesisPosition stdin items sorted values ExtractCommandName float compile split relu_dim pnorm_input_dim relu_dim_final relu_dim_init pnorm_output_dim pool_z_step num_filters pool_x_step filt_y_dim filt_y_step pool_y_size pool_y_step pool_z_size AddMaxpoolingLayer AddConvolutionLayer pool_x_size filt_x_dim filt_x_step join format ParseCnnString AddAffineLayer strip AddFixedAffineLayer AddConvMaxpLayer range write_idct_matrix len add_argument len ArgumentParser append parse_args range split int strip ParseSpliceString open str append close AddCnnLayers print AddAffPnormLayer index len pop list LessThan append range len list append randint sum range CombineList len format values print append sum range CombineList len append readline defaultdict format exit add open split print splite_dir makedirs d_clip num_gpu disc_updates g_disturb mean g_disturb_weights gen_updates add_summary d_clip_weights summaries run num_gpu int disc_updates mean gen_updates add_summary summaries range run get_num_batch test_list_file info decode int tr_list_file max_epoches format batch_size get_num_batch isfile min_epoches cv_list_file read_list assign d_fake d_real assign d_fake d_real put run get get max_epochs min_epochs setattr VBN_cls disable_vbn getattr communicate Popen format warning Popen returncode arange grid linspace parse_loss_log_adversarial sorted ylabel title savefig legend append format plot size info keys xlabel figure parse_loss_log array makedirs format get_command_stdout append float range split format get_command_stdout append float range split generate_loss_plots adversarial log_file print __version__ trainable_variables analyze_vars flush as_list random_normal zeros range reshape randn scalar histogram audio xavier_initializer expand_dims format _linear f sigmoid xrange as_list get_shape xavier_initializer as_list print get_shape as_list split conv1d repeat_elements xavier_initializer get_shape expand_dims get_variable get_variable concat reduce_mean zip append expand_dims exp log concat reduce_mean | wangkenpu/rsrgan | 4,061 |
wangkua1/apd_public | ['active learning', 'anomaly detection'] | ['Adversarial Distillation of Bayesian Neural Network Posteriors'] | active_learning.py model/cnn.py tflib/plot.py tflib/ops/linear.py gan_utils.py gan.py pgd.py adv_eval.py opt/nsgd.py tensorboard_monitor/configuration.py model/fc.py tensorboard_monitor/monitor.py tflib/__init__.py train_toy2d.py utils.py train_new.py opt/loss.py gan_pytorch.py acq_entropy update_train_pool_sets acq_random main acq_bald generate_samples trim_dataloader get_generator get_opt_config uncertainty_hist run_adv_detection gen_adv_examples main get_model load_adv_examples get_dataset_id Generator ReLULayer Discriminator ReLULayer TrainGAN Generator data_generator Discriminator inf_train_gen evaluate EvalMNIST get_anomaly_detection_test_inputs model_load_configuration EvalCIFAR data_generator EvalToy2d opt_load_configuration FBOXPGDAttack PGDAttack get_dataloader _flatten_npyfy check_point posterior_sampling evaluate load_configuration update_LearningRate run_test_mc_dropout main _validate_batch _flatten_npyfy _validate_batch_bayes _plot mc_dropout_expectation posterior_uncertainty f_uncert_x load_posterior_samples MiniBatcher cuda posterior_expectation check_nan f_bald sm_given_np_data get_anomaly_detection_test_inputs mc_dropout_uncertainty f_entropy get_dataloader show_ood_detection_results_softmax load_ood_dataset load_posterior_state_dicts inference_accuracy prepare_torch_dicts load_ood_data f_identity f_maxy _cpu_data cnn cnn_pytorch_base identity_layer cnn_globe fc fc1 fc1_separate fc_pytorch_base CE NoisedSGD initial_tensorboard Monitor flush plot tick param delete_all_params params_with_name alias_params delete_param_aliases print_model_settings_dict print_model_settings enable_default_weightnorm disable_default_weightnorm set_weights_stdev unset_weights_stdev Linear setdiff1d arange LongTensor concatenate ByteTensor train_labels train_data len shuffle arange train_labels len mc_dropout_expectation Variable eval softmax train forward cuda posterior_expectation enumerate Variable eval train cuda posterior_expectation enumerate arange TrainGAN zero_grad BabyMnist get_samples DataLoader update_LearningRate train_labels save init_gan cuda forward argmax posterior_expectation log open posterior_sampling FloatTensor len step posterior_samples inference_prediction array append next range cross_entropy opt_load_configuration dump format update_train_pool_sets load_configuration Compose nll_loss shuffle mean eval softmax float type inference_accuracy enumerate MNIST join _flatten_npyfy int backward print parameters load_ood_data cpu ravel update_iter makedirs load load_state_dict open load join int Generator load_state_dict cuda open int concatenate append numpy range load open Variable cuda append get_dataloader format LongTensor model Variable print mean eval PyTorchModel numpy attack cuda append Tensor type attack_instance get_dataset_id get_dataloader trim_dataloader format show_ood_detection_results_softmax print prepare_torch_dicts tick_params cuda show ylabel title ylim legend append get_dataloader gcf plot concatenate tight_layout prepare_torch_dicts set_size_inches Variable xlabel histogram numpy join exists mc_dropout_expectation load_posterior_samples run_adv_detection load_state_dict LBFGSAttack get_generator gen_adv_examples load_adv_examples generate_samples get_model GradientSignAttack relu Linear ReLULayer random_normal Linear ReLULayer Linear concatenate data kaiming_uniform train_gen print format vstack load_posterior_samples load open load open argmax append nll_loss posterior_expectation log mean eval softmax cpu train forward cuda inference_accuracy cross_entropy enumerate Variable iter append next range load join format basename print makedirs now copy parameters CE load_state_dict cuda open pop load_state_dict state_dict print format save state_dict deepcopy cpu cuda append state_dict mc_dropout_expectation nll_loss training log mean eval numpy cpu train argmax cuda inference_accuracy append MNIST int FashionMNIST Compose BabyMnist DataLoader CIFAR10 posterior_samples inference_prediction posterior_weights append ravel values Monitor std defaultdict sm_given_np_data get_anomaly_detection_test_inputs run_test_mc_dropout get_dataloader state_dict show_ood_detection_results_softmax upper load_posterior_state_dicts flush load check_point evaluate record_matplot save_result_numpy dict zeros zip FloatTensor infer eval train type FloatTensor infer eval load_state_dict xrange train type len eval forward softmax astype load_posterior_samples load join sorted shuffle append len items FloatTensor reshape size OrderedDict append array state_dict int mean stack softmax cpu train forward range append cuda enumerate forward list posterior_samples load_state_dict ceil posterior_weights append sum range cat state_dict astype shuffle eval float deepcopy int min cpu train len sum eval posterior_samples softmax load_state_dict posterior_weights train forward range len int sum softmax train forward range __class__ isinstance mean array _cpu_data mean _cpu_data f_entropy _cpu_data _cpu_data squeeze average_precision_score eval vstack zeros round roc_auc_score imresize Compose loadmat stack DataLoader iter CIFAR10 append expand_dims next cat Variable FloatTensor load_ood_dataset stack isinstance print any set_trace flush join graph FileWriter rmtree mkdir exists InteractiveSession update items list format join replace plot clear xlabel sort print ylabel mean clf savefig append keys values Variable clear items clear print sorted format print sorted format | wangkua1/apd_public | 4,062 |
wangleihitcs/DeepLab-V1-PyTorch | ['semantic segmentation'] | ['Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs', 'DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs'] | nets/vgg.py utils/losses.py evaluate.py utils/crf.py datasets.py main.py VOCDataset IOUMetric get_params train test VGG16_LargeFOV DenseCRF build_metrics resize_labels named_modules isinstance Conv2d zero_grad SGD localtime DataParallel DataLoader save VOCDataset open str VGG16_LargeFOV exit strftime load_state_dict append to range state_dict format param_groups build_metrics mean float flush enumerate load setdefault backward print write cpu step model flatten DataParallel DataLoader DenseCRF save post_processor VOCDataset argmax max CEL fromarray copyMakeBorder VGG16_LargeFOV IMREAD_COLOR load_state_dict putpalette append to imread range astype eval softmax float enumerate load uint8 time print extend cpu numpy array len asarray LongTensor resize append numpy model to cpu float argmax CEL len | wangleihitcs/DeepLab-V1-PyTorch | 4,063 |
wangleiphy/MongeAmpereFlow | ['density estimation'] | ['Monge-Ampère Flow for Generative Modeling'] | paper/plot_fe.py paper/config.py objectives/phi4.py objectives/template.py utils/checkpoint.py objectives/lattice.py objectives/__init__.py flow.py objectives/ring2ds.py paper/sample_model.py utils/transform.py utils/__init__.py paper/plot_nll.py net.py variational_free_energy.py objectives/ising.py symmetrize.py objectives/wave.py objectives/mog.py objectives/gaussian.py paper/__init__.py density_estimation.py utils/dataloader.py MongeAmpereFlow CNN tanh_prime2 MLP Simple_MLP roll sigmoid_prime lncosh tanh_prime Symmetrize vi Gaussian Ising Hypercube Lattice Triangular energy Mog2 Phi4 Ring5 Ring2D Target Wave sample inverserg gaussianization reversibility load_checkpoint save_checkpoint dataloader logit logit_back ZeroPadding Crop Transpose ToTensor HorizontalFlip AddUniformNoise tanh sigmoid size abs narrow add_subplot axhline linspace ion list ylabel from_numpy imshow ylim legend meshgrid sum plot set_xlim xlim T print xlabel draw parameters filter figure zeros print save load print load_state_dict MNIST random_split ConcatDataset print exit DataLoader CIFAR10 net sigmoid | wangleiphy/MongeAmpereFlow | 4,064 |
wangqiqi/ccnn | ['object counting'] | ['Towards perspective-free object counting with deep learning'] | src/gen_features.py tools/gen_ucsd_dataset.py src/test.py tools/gen_ucsd_extranotation.py tools/gen_ucsd_dotmaps.py tools/gen_ucf_results.py tools/gen_ucf_dataset.py src/utils.py tools/gen_ucf_dotmaps.py dispHelp getGtPos hFlipImages genPDensity genDensity trasposeImages computeMeanIm extractEscales main initGenFeatFromCfg loadImage cropAtPos dispHelp initTestFromCfg CaffePredictor testOnImg gameMetric main gameRec resizePatches importImagesFolder genRandomPos resizeDensityPatch shuffleRows takeIndexFromList cartesian getMasks extendName resizeListDens cfgFromFile extendImNames generateRandomOdd cropPerspective get_dense_pos resizeMaxSize batch shuffleWithIndex dispHelp main writeToFile dispHelp main dispHelp main dispHelp main dispHelp main dispHelp main gaussian_filter getGtPos zeros_like float32 zeros gaussian_filter T max where slice append astype float32 tile zeros len float32 shape append transpose range len append fliplr append range resize DATASET FLIP TRAIN_FEAT NR cfgFromFile CNN_PW_OUT TRAIN_FEAT_LIST RESIZE SPLIT TRAINVAL_LIST USE_PERSPECTIVE PERSPECTIVE_MAP IM_FOLDER DOT_ENDING SIG N_SCALES COLOR CNN_PW_IN PW print dispHelp getopt initGenFeatFromCfg genDensity vstack extractEscales open str len shape loadImage append sum resizePatches hFlipImages format genPDensity close extendName resizeListDens enumerate genRandomPos print loadtxt File write array resizeMaxSize cropAtPos int shape append zeros range process sum DATASET PERSPECTIVE_MAP DOT_ENDING SIG RESIZE N_SCALES TEST_LIST USE_PERSPECTIVE USE_MASK COLOR RESULTS_OUTPUT cfgFromFile IM_FOLDER MASK_FILE PW initTestFromCfg CaffePredictor abs set_device testOnImg gameMetric savetxt range get asarray mean set_mode_cpu int time set_mode_gpu zeros loadmat float resize dtype size repeat zeros prod range cartesian int slice start stop append resize sum max min resizeDensityPatch enumerate shape enumerate resize reshape range len rfind sep append loadtxt extendName print squeeze append append loadmat get seed list asarray arange permutation len asarray take arange shuffle append randint join writeToFile arange ones where imwrite astype logical_and int32 std sorted glob rfind loc pmapx min mask | wangqiqi/ccnn | 4,065 |
wangren09/TrojanNetDetector | ['backdoor attack'] | ['Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases'] | DFTND/robustness_lib/robustness/tools/constants.py DFTND/dataset_wrapper.py DLTND/UniversalPerturb.py DFTND/robustness_lib/robustness/cifar_models/__init__.py DLTND/PerImgPerturb.py DLTND/eval.py DFTND/robustness_lib/robustness/loaders.py DFTND/dataset_input.py DFTND/robustness_lib/robustness/attack_steps.py DFTND/robustness_lib/robustness/cifar_models/resnet.py DFTND/robustness_lib/robustness/imagenet_models/resnet.py DFTND/robustness_lib/robustness/imagenet_models/__init__.py DLTND/resnet.py DFTND/robustness_lib/setup.py DFTND/robustness_lib/robustness/attacker.py DFTND/user_constants.py DLTND/utilities.py DFTND/robustness_lib/robustness/datasets.py DFTND/robustness_lib/robustness/folder.py DFTND/robustness_lib/robustness/constants.py DFTND/robustness_lib/robustness/helpers.py DLTND/dataset_input.py DFTND/robustness_lib/robustness/model_utils.py DFTND/utilities.py DFTND/robustness_lib/robustness/tools/vis_tools.py DataSubset poison GTSRB TinyImagenet CIFAR10Data RestrictedImagenet wrapper get_config config_to_namedtuple Attacker AttackerModel LinfStep LinfStep2 AttackerStep UnconstrainedStep LinfStep1 L2Step Lighting CINIC RestrictedImageNetBalanced CIFAR DataSet ImageNet A2B RestrictedImageNet is_image_file DatasetFolder make_dataset ImageFolder accimage_loader default_loader has_file_allowed_extension TensorDataset pil_loader Parameters restricted_label_mapping InputNormalize Arguments get_label_mapping DataPrefetcher calc_fadein_eps accuracy AverageMeter override_json save_checkpoint ckpt_at_epoch make_loaders TransformedLoader LambdaLoader make_and_restore_model ResNet18Thin FakeReLU ResNet ResNet18 Bottleneck ResNet34 ResNet101 ResNet18Wide test ResNet50 SequentialWithArgs BasicBlock ResNet152 conv1x1 FakeReLU ResNet resnet50 Bottleneck resnet152 conv3x3 resnet34 resnet18 SequentialWithArgs BasicBlock resnet101 show_image_row filter_data show_image_column plot_tsne get_axis plot_axis DataSubset poison CIFAR10Data loop evaluate PerImgPert Model UniversalPert get_config config_to_namedtuple asarray range copy where update items list exists list items isinstance lower join sorted has_file_allowed_extension append expanduser keys walk float min copyfile save BEST_APPEND items list sort enumerate load update Arguments append vars open join list format arange RandomState print Subset choice ImageFolder DataLoader samples custom_class range len cpu len TensorDataset func append cat enumerate load AttackerModel format print DataParallel load_state_dict startswith isfile get_model cuda randn print ResNet18 size net 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 show subplots set_title set_ticks imshow set_ylabel savefig permute set_ticklabels get_axis abs range show subplots set_title set_ticks imshow savefig permute set_ticklabels get_axis range tolist zip len set_xlabel set_ylabel plot show scatter unique color_palette fit_transform len batch_size target_label output_dir position poison_method xs Summary run color clean_label ceil format get_or_create_global_step CIFAR10Data eval trange int print min makedirs repeat add_summary len format latest_checkpoint print now Saver output_dir sleep flush | wangren09/TrojanNetDetector | 4,066 |
wangrui1996/crnnLicensePlateRecognition | ['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'] | src/models/cnnmodel.py tools/create_xml_ssd_CCPD.py tools/inference_crnn_ctc.py src/models/resmodel.py tools/config.py tools/create_crnn_ctc_tfrecord_CCPD.py src/utils/stn.py src/models/pyramidcnnmodel.py src/models/model.py tools/eval_crnn_ctc.py tools/train_crnn_ctc_CCPD.py tools/create_image_list_CCPD.py src/utils/distribution.py build_network CRNNCTCNetwork SpatialAttention CFE build_network BilinearUpsampling BilinearDownsampling ChannelWiseAttention AtrousBlock Act resnet build_network Conv_unit residual_unit residual_unit_v1 channel_wise_attention affine_grid_generator get_pixel_value spatial_transformer_network bilinear_sampler generate_config _string_to_int convert_dataset _int64_feature write_tfrecord _bytes_feature main get_province_num write_to_files make_image_list find_key_by_value main progress _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_train_tfrecord main train_crnn_ctc _read_test_tfrecord as_list squeeze rgb info stn conv2d conv2d concat batch_norm AtrousBlock as_list as_list get_shape list fully_connected reshape multiply map reduce_mean tile list batch_norm map add sigmoid conv2d tile conv2d leaky_relu relu get reduce_mean Conv_unit get get bn_mom format print exit shape Conv_unit max_pool2d residual_unit range len resnet num_layers list Variable fully_connected reshape ones multiply map reduce_mean tile zeros reshape affine_grid_generator bilinear_sampler reshape shape stack tile range ones_like reshape matmul stack cast linspace tile meshgrid expand_dims cast clip_by_value floor add_n zeros expand_dims get_pixel_value items list load char_map_json_file append open join data_store_path makedirs load join int format data_store_path len shuffle train_ratio plate_map_json_file shuffle_list write_tfrecord trainval_targets range open convert_dataset seed join time int submit format basename float32 find_key_by_value lower writelines walk range open get join int print find_key_by_value walk join format dataset_root_path data_store_path get_province_num write_to_files print plate_map_json_file ThreadPoolExecutor mkdir info shutdown trainval_targets len make_image_list str SubElement Element write shape imread ElementTree 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 resize_images read TFRecordReader string_input_producer float32 set_shape cast int32 parse_single_example decode_jpeg load join _read_tfrecord ctc_beam_search_decoder batch_size latest_checkpoint data_dir char_map_json_file float32 placeholder sparse_placeholder model_dir Saver int32 tf_record_iterator ConfigProto batch open _eval_crnn_ctc plate_map_json_file plate_map_json_file load list ctc_beam_search_decoder model_stn_save_path latest_checkpoint assign_from_checkpoint_fn len placeholder plate_map_json_file model_save_path get_variables_to_restore int32 build_network global_variables_initializer bool stn keys open _inference_crnn_ctc read TFRecordReader string_input_producer float32 random_brightness set_shape resize_with_crop_or_pad cast int32 parse_single_example random_contrast decode_jpeg resize_images read TFRecordReader string_input_producer float32 set_shape cast int32 parse_single_example decode_jpeg ctc_beam_search_decoder batch_size localtime model_save_path Saver exponential_decay exists open decay_rate str list data_store_path model_stn_save_path ctc_loss decay_steps get_collection merge_all placeholder strftime cast build_network _read_train_tfrecord append stn format latest_checkpoint get_variables_to_restore create_global_step tf_record_iterator assign_from_checkpoint_fn ConfigProto _read_test_tfrecord keys batch enumerate load join time learning_rate makedirs float32 sparse_placeholder plate_map_json_file edit_distance reduce_mean UPDATE_OPS int32 save_root_path global_variables_initializer bool trainval_targets scalar len train_crnn_ctc | wangrui1996/crnnLicensePlateRecognition | 4,067 |
wangyue2334/anomelies | ['time series'] | ['Beyond Sparsity: Tree Regularization of Deep Models for Interpretability'] | preprocessing.py train.py adapted.py adapted_fs.py test.py feature_selection.py test_tree.py test_model.py datasets.py model.py adapted_new.py map_3d_to_2d map_3d_to_2d Find_Optimal_Cutoff map_3d_to_2d map_3d_to_2d gen_synthetic_dataset build_mlp safe_log softplus linear make_grad_softplus mse sigmoid build_gru WeightsParser generate_data_and_feature_selection series_to_supervised generate_dataframe_feature_selection generate_data generate_dataframe Find_Optimal_Cutoff map_3d_to_2d Find_Optimal_Cutoff get_ith_minibatch_ixs_fences visualize MLP prune_label build_batched_grad_fences get_ith_minibatch_ixs make_graph_minimal build_batched_grad GRU GRUTree average_path_length shape T arange DataFrame roc_curve arange len exp hstack dot multinomial binomial zeros array range WeightsParser add_shape zip WeightsParser add_shape enumerate exp zeros_like logical_not log1p asarray concat shift append dropna range series_to_supervised getcwd astype keys read_csv MinMaxScaler DataFrame fit_transform fillna drop SelectFromModel series_to_supervised ExtraTreesClassifier print getcwd float fit astype index keys shape read_csv MinMaxScaler DataFrame fit_transform fillna drop generate_dataframe_feature_selection reshape stack append range values str print reshape stack generate_dataframe append range values node_count arange apply dot bincount float slice concatenate len write_pdf graph_from_dot_data export_graphviz make_graph_minimal str set_label print get_nodes get_label prune_label len split | wangyue2334/anomelies | 4,068 |
wangzh0ng/adversarial_yolo2 | ['human detection'] | ['Fooling automated surveillance cameras: adversarial patches to attack person detection'] | models/caffe_net.py debug.py tools/lmdb/create_dataset.py oude versies/craft_adv_draaien_scalen_plaatsen_werkt.py train_patch.py tools/lmdb/train_lmdb.py valid.py darknet.py detect.py oude versies/rotate2.py test_patch.py from_notebook.py region_loss.py train.py batch_rotate.py FocalLoss.py models/tiny_yolo.py dataset.py recall.py partial.py utils.py oude versies/rotate.py layers/batchnorm/bn.py oude versies/craft_adv_patch_plaatsen_werkt.py cfg.py patch_config.py tools/lmdb/lmdb_utils.py scripts/voc_label.py image.py batch_detect.py load_data.py tools/lmdb/plot_lmdb.py demo.py layers/batchnorm/bn_lib/__init__.py craft_adv.py eval.py median_pool.py scripts/voc_eval.py scripts/eval_widerface.py layers/batchnorm/build.py models/resnet.py PatchApplier PatchTransformer InriaDataset load_fc save_fc save_conv_bn load_conv parse_cfg save_conv print_cfg load_conv_bn get_max_probability read_and_size_image calc_nps transform_patch total_variation apply_patch get_printability_array EmptyModule MaxPoolStride1 Darknet Reorg GlobalAvgPool2d listDataset extract demo detect_cv2 detect detect_skimage test FocalLoss distort_image random_distort_image load_data_detection scale_image_channel data_augmentation fill_truth_detection rand_scale NPSCalculator PatchTransformer TotalVariation MaxProbExtractor InriaDataset PatchApplier MedianPool2d partial Experiment3LowRes ReproducePaperObj Experiment4ClassOnly BaseConfig Experiment1 Experiment2HighRes Experiment1Desktop eval_list RegionLoss build_targets train adjust_learning_rate test main PatchTrainer scale_bboxes logging do_detect read_truths get_image_size read_truths_args plot_boxes nms convert2cpu bbox_ious load_class_names file_lines convert2cpu_long softmax image2torch plot_boxes_cv2 read_data_cfg sigmoid bbox_iou get_region_boxes valid BN2dFunc BN2d_slow BN2d _import_symbols ResNet Bottleneck conv3x3 Resnet101 BasicBlock TinyYoloNet get_max_probability read_and_size_image calc_nps transform_patch total_variation apply_patch get_printability_array get_max_probability read_and_size_image calc_nps total_variation apply_patch get_printability_array transform_patch th_affine2d th_iterproduct th_bilinear_interp2d getRotationMatrix eval_widerface save_boxes convert_annotation convert createDataset writeCache checkImageIsValid lmdbDataset lmdb_nsamples train adjust_learning_rate test readline rstrip strip close dict open append split print int append split copy_ from_numpy reshape numel tofile is_cuda copy_ from_numpy reshape numel tofile is_cuda copy_ from_numpy numel tofile view print size contiguous sigmoid shape unsqueeze max list asarray float32 append full sqrt sum prod abs sum numel view size convert from_buffer contiguous ByteTensor div resize tobytes grid_sample FloatTensor ones abs size rand ConstantPad2d mypad pi affine_grid sqrt uniform sin ceil zeros round max int size ConstantPad2d mypad sqrt transform_patch data convert2cpu load_class_names VideoCapture read print exit plot_boxes_cv2 do_detect waitKey Darknet imshow load_weights resize print_network cuda load_class_names time print convert do_detect Darknet load_weights resize print_network plot_boxes cuda load_class_names time COLOR_BGR2RGB print plot_boxes_cv2 do_detect Darknet load_weights resize print_network imread cuda range cvtColor load_class_names time print plot_boxes_cv2 do_detect Darknet load_weights resize print_network imread cuda range data nms num_classes view logging Variable get_region_boxes num_anchors anchors size eval bbox_iou truths_length cuda range enumerate len list point tuple merge split mode list point tuple convert mode split merge randint uniform uniform distort_image rand_scale int FLIP_LEFT_RIGHT height random_distort_image resize transpose width randint float crop getsize loadtxt reshape min zeros max range height replace convert width data_augmentation fill_truth_detection print Darknet save_weights load_weights print_network max height rstrip replace resize print do_detect Darknet read_truths_args eval load_weights bbox_iou width plot_boxes cuda range len int bbox_ious fill_ ones size t bbox_iou pow repeat xrange zero_ zeros max log len param_groups range len logging model zero_grad listDataset DataLoader adjust_learning_rate save_weights dataset cuda region_loss seen module size enumerate time backward print zeros step len module print train PatchTrainer patch_configs sum exp max min max min max sort append zeros range len data max time exp view LongTensor print convert2cpu size contiguous convert2cpu_long sigmoid index_select unsqueeze append cuda range len int imwrite FloatTensor print putText FONT_HERSHEY_SIMPLEX rectangle get_color round range len height Draw get_color FloatTensor print text rectangle save width range len getsize size loadtxt reshape append range read_truths append rstrip height view contiguous from_buffer ByteTensor div width tobytes Image div unsqueeze forward cuda nms view exit width height ByteTensor eval tobytes time isinstance print Variable contiguous from_buffer dict strip split deepcopy range len read close open print data get_image_size listDataset Darknet DataLoader cuda open nms num_classes range load_class_names num_anchors anchors size close eval load_weights mkdir enumerate Variable print write read_data_cfg print_network get_region_boxes len append dir getattr _wrap_function data print shape print item print shape show squeeze shape interpolate type to_pil_image mul view print clamp size stride gather add shape floor tensor long print pi FloatTensor bmm th_bilinear_interp2d print th_nearest_interp2d size transpose contiguous shape unsqueeze repeat expand_as float th_iterproduct basename height write close width open round len load_class_names join int basename height save_boxes resize print convert do_detect Darknet load_weights mkdir width plot_boxes round cuda walk int str parse join text convert write index getroot iter open find imdecode fromstring IMREAD_COLOR join str rstrip replace print len xrange writeCache open open logging write lmdbDataset max | wangzh0ng/adversarial_yolo2 | 4,069 |
wanjinchang/MTCNN_USE_TF_E2E | ['face detection', 'face alignment'] | ['Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks'] | boxes_utils.py demo.py detect_face_tf.py npy2ckpt.py rerec_tf bbreg_tf generateBoundingBox_tf pad_tf imresample_tf resample_np Network convert save stack to_float greater_equal transpose concat where stack gather_nd cond floor cast equal ones_like ones to_int32 reshape greater where tile less append stack maximum expand_dims resize resize_bilinear join format print makedirs ConfigProto Network | wanjinchang/MTCNN_USE_TF_E2E | 4,070 |
water-mirror/DPR | ['combinatorial optimization'] | ['Dynamic Partial Removal: A Neural Network Heuristic for Large Neighborhood Search'] | lib/vrp_helper_1.py train.py lib/torch_model_3.py lib/ppo_0_n_anchor.py lib/torch_model.py lib/torch_model_2.py lib/ppo_1_no_gru.py lib/ppo_0.py lib/vrp_helper_0.py lib/vrp_helper_legacy.py lib/torch_ppo_3.py lib/ppo_1.py lib/vrp_helper_env.py lib/__init__.py arguments.py args parse_output compile_java write_distMat_file write_data_file write_states_file vrp_java execute_java Agent Net_Actor Memory GATConv Net_Generic ActorCritic Agent Net_Actor Memory GATConv Net_Generic ActorCritic Agent Net_Actor Memory GATConv Net_Generic ActorCritic Agent Net_Actor Memory GATConv Net_Generic ActorCritic GATConv Net_Generic Agent Net_Actor get_embeddings Agent Net_Actor GATConv Net_Generic Attention get_embeddings Agent Net_Actor Memory GATConv Net_Generic Attention Agent Net_Actor Attention_Pointer Memory GATConv Net_Generic ActorCritic Attention check_vrp_route_validity check_cvrp_route_validity get_distance get_routes_distance random_vrptw_legacy sisr_vrp random_cvrp_legacy getQADict parse_vrp_answer sisr_cvrp parse_vrp_question random_vrptw check_vrp_routes_validity calculate_distance_matrix get_embeddings get_distMat find_degree get_inbalance_distMat get_neighbours parse_vrp_answer parse_vrp_question find_ruins get_solDist getQADict env build_edge_index_near build_edge_index_routes build_action_index find_ruins vrp_env_sisr vrp_env random_vrptw random_cvrp add_argument ArgumentParser append join range append get_dist_matrix_str range len append join range len check_call communicate encode Popen splitext float split compile_java execute_java append zeros range len lower zeros sum max range len print round zeros sum max range len print sum zeros sum range len zeros sum range len zeros sisr_vrp concatenate deepcopy get_routes_distance print ruin recreate fleet_min get_neighbours round zeros sum range len append int max array get_distance random_cvrp concatenate random_tw append array range len int get_distance min random demand_func sigmoid array append randint max range len zeros sum range len append sorted range append getValid_legacy route_add enumerate shape random randint int find_t remove_nodes ceil max append len norm arccos min pi dot max list std find_degree transpose min astype mean float sum max append array range len append array range len append range append int max array random_cvrp concatenate random_tw | water-mirror/DPR | 4,071 |
water-mirror/NeuLNS | ['combinatorial optimization', 'graph attention'] | ['Learn to Design the Heuristics for Vehicle Routing Problem'] | src/cvrp/lib/utils_train.py src/cvrp/train_model.py src/cvrptw/lib/__init__.py src/cvrp/evaluation.py src/cvrp/arguments.py src/cvrptw/evaluation.py src/cvrp/lib/rms.py src/cvrp/lib/__init__.py src/cvrp/lib/utils_eval.py src/cvrptw/lib/rms.py src/cvrp/lib/egate_model.py src/cvrptw/train_model.py src/cvrptw/lib/utils_eval.py src/cvrptw/lib/utils_train.py src/cvrptw/lib/egate_model.py src/cvrptw/arguments.py args Decoder Encoder GatConv Model Attention RunningMeanStd update_mean_var_count_from_moments create_instance create_batch_env create_replay_buffer create_env roll_out create_instance eval_random train create_batch_env create_replay_buffer train_once create_env roll_out random_init args eval Decoder Encoder GatConv Model Attention RunningMeanStd update_mean_var_count_from_moments eval_random create_batch_env read_input create_replay_buffer train_once create_env roll_out random_init create_instance eval_random train create_batch_env create_replay_buffer train_once create_env roll_out random_init add_argument ArgumentParser square append tolist calc_dist enumerate Env create_replay_buffer random_cvrp exp num_graphs evaluate backward print reshape train squeeze clamp zero_grad mean item append to step enumerate print mean reset array range step state_dict print eval_random create_batch_env Adam extend mean parameters DataLoader save train_once roll_out range random_init best print argmin create_batch_env reset roll_out best_sol load int str items sorted dict calc_dist append float array enumerate sorted random_tw reset | water-mirror/NeuLNS | 4,072 |
water45wzh/exploring_melody | ['information retrieval'] | ['Exploring Inherent Properties of the Monophonic Melody of Songs'] | zehao_dataprepare.py Melody STC Note | water45wzh/exploring_melody | 4,073 |
wboag/awecm | ['word embeddings'] | ['AWE-CM Vectors: Augmenting Word Embeddings with a Clinical Metathesaurus'] | code/word2vecf/umls/code/umls_lookup.py resources/word2vecf/scripts/vecs2nps.py code/eval/srs/srs_eval.py code/word2vecf/generate_context_windows.py code/eval/concept_extraction/concept_data.py code/eval/concept_extraction/word2vec.py resources/word2vecf/scripts/eval_analogies.py resources/word2vecf/mimic_to_vec_demo/umls_lookup.py resources/word2vecf/scripts/extract_neighbours.py code/word2vecf/umls/code/interface_umls_web.py code/eval/concept_extraction/onehot.py code/word2vec/w2v_bin_to_txt.py code/eval/concept_extraction/tools.py code/corpus/build_fake_corpus.py resources/word2vecf/mimic_to_vec_demo/build_word2vec_corpus_hassan.py code/eval/srs/read_data.py resources/word2vecf/scripts/extract_deps.py resources/word2vecf/scripts/infer.py resources/word2vecf/scripts/vocab.py code/word2vecf/umls/code/Authentication.py code/word2vecf/umls/code/interface_umls.py code/word2vecf/umls/code/create_sqliteDB.py code/corpus/build_corpus.py resources/word2vecf/scripts/mergecounts.py main tokenize bin_age main get_data read_con map_files read_txt main tokenize main extract_features vectorize_X analyze make_concept_annotations results official_eval compute_stats_multiclass write_i2b2 error_analysis make_iobs main extract_features load_vectors _get_srs_cui _get_srs_mini get_srs _get_srs _get_srs_mini_cui main get_srs_cui load_vectors norm cosine main embed get_cui_context get_relationships_word extract_context_cuis_frequency extract_context_cuis extract_context_position get_relationships_cui main Authentication create_db umls_db_cleanup cui_relation_lookup SQLConnect cui_lookup read_vocab read_conll read_vocab ugly_normalize Embeddings join iterrows print text connect read_sql_query tokenize replace strip bin_age set lower sub findall int dirname abspath listdir range get_data int zip update join list print glob exit set read_con map_files read_txt zip append listdir keys startswith join int groups set lower range split LinearSVC shape vectorize_X extract_features array fit append lower range len transform DictVectorizer fit stdout str coef_ write reversed argsort shape enumerate str list make_concept_annotations official_eval write decision_function compute_stats_multiclass argmax keys make_iobs append range zip len lower zip append range enumerate len str list write zip append zeros sum keys range len join str mkdtemp write getstatusoutput rmtree mkdir dirname abspath write_i2b2 print tolist decision_function append predict enumerate load_vectors print zeros get_srs update _get_srs_mini _get_srs update _get_srs_mini_cui _get_srs_cui join join join join list items cosine append spearmanr embed len zeros sum split int defaultdict print len append sum values enumerate list set get_relationships_cui int defaultdict print len append sum values enumerate int defaultdict print len append sum values enumerate extract_context_cuis_frequency extract_context_cuis extract_context_position exit print remove close pop join commit cursor print tuple strip connect split execute open print join create_db connect execute execute append lower split int lower split sqrt sum | wboag/awecm | 4,074 |
webis-de/EMNLP-20 | ['bias detection', 'text classification'] | ['Detecting Media Bias in News Articles using Gaussian Bias Distributions'] | code/freq_svm.py code/pos_nb.py norValues sampling processBERT norValues trainGMM estTrans checkGM testGMM sampling processBERT int arange append zeros round range len int mean append max range len argmin array sqrt linspace len stack append zeros argmax array range predict enumerate ones means_ append array range predict len | webis-de/EMNLP-20 | 4,075 |
webis-de/WWW-20 | ['text summarization'] | ['Abstractive Snippet Generation'] | code/filters/step2_3_nonexist_target.py code/filters/step2_2_collect_existed_url.py code/filters/step8_2_reuse.py code/filters/step8_1_lsh.py code/filters/step5_stop.py code/filters/step9_short_content.py code/filters/step0and1_raw_AC_and_remove_intralink.py code/filters/step2_1_collect_used_url.py code/filters/step3and4_eng_spam.py code/filters/step6_proper.py getPure tryJson getDomain main makeAbsoluteUrl tryJson cleanurl tryJson checkDoc tryJson cleanurl tryJson isSpam pos_tag tryJson isSteps cleanText removeList main tokenize isSpam pos_tag tryJson isSteps cleanText removeList main tokenize cleanurl tryJson process tryJson process tryJson strip max finditer list handle tryJson readline getPure HTML2Text group start getDomain DOTALL enumerate join print end min write dumps search replace group search sub tryJson handle HTML2Text download range len sub replace sent_tokenize word_tokenize rstrip isSpam lstrip cleanText removeList word_tokenize escape sent_tokenize pos_tag findall float compile len update encode insert len query tryJson MinHash range MinHashLSH enumerate ngrams append value sub | webis-de/WWW-20 | 4,076 |
webis-de/argmining20-social-bias-argumentation | ['word embeddings'] | ["Argument from Old Man's View: Assessing Social Bias in Argumentation"] | GloVe/eval/python/distance.py embedding_bias_evaluation.py sbeval/utils.py sbeval/weat_test.py weat_cooccurrence_analysis.py prepare_ddo_data.py prepare_iac_data.py accumulate_cooccurrence_counts.py sbeval/tests/weat_score_replication_glove.py sbeval/constants.py sbeval/tests/weat_score_replication_w2v.py GloVe/eval/python/word_analogy.py prepare_glove_input_from_iac.py GloVe/eval/python/evaluate.py prepare_glove_input_from_ddo.py prepare_cmv_data.py prepare_glove_input_from_sbf.py sbeval/word_vectors.py lexical_corpus_evaluation.py prepare_glove_input_from_cmv.py main weat_evaluation main extract_context main tokenize_and_tag_posts generate_statistics main get_all_texts main prepare_data extract_data calculate_age_group main main main main main calculate_candidate_posts _get_candidate_posts calculate_cooccurrences main _get_cooccurrence_sentences get_sentences_from_posts distance generate main evaluate_vectors distance generate split_corpus _embed_token_list weat_score _association_test _differential_association_test BaseEmbeddings ConceptNetNumberbatchEmbeddings Word2VecEmbeddings GloVeEmbeddings WordVectors CustomEmbeddings TestWeatGloVe TestWeatWord2vec list print info sum keys enumerate split lowercase items list weat_score join embedding_model weat_evaluation output strftime CustomEmbeddings append all pipe tqdm append tqdm enumerate most_common load vocab items compile tokenize_and_tag_posts extract_context Tokenizer extend extend tqdm get_all_texts append cut apply items list debug tqdm append append text nlp progress_apply multicore extract_data calculate_age_group to_csv apply splits split_corpus pipe read_csv values replace concat set sub read_sql create_engine connect append split join close tqdm imap append Pool extend pipe tqdm join close tqdm imap append Pool calculate_candidate_posts product len calculate_cooccurrences tests get_sentences_from_posts items list T add_argument shape ArgumentParser parse_args sum zeros len T print copy dot shape zeros sum enumerate split T add_argument shape ArgumentParser parse_args evaluate_vectors zeros int T arange print min dot flatten ceil zeros float sum array range len len mkdir join shuffle enumerate mean cdist sum _association_test append _embed_token_list concatenate mean WordVectors std _association_test WordVectors WordVectors | webis-de/argmining20-social-bias-argumentation | 4,077 |
webis-de/unit-segmentation-of-argumentative-texts | ['argument mining'] | ['Unit Segmentation of Argumentative Texts'] | code/public_library.py code/nn.py getMaxDoc1D filterPr filterDisLabel balanceSampling getSplitDataDir IO2BIO genBinaryLDic genLDic loadListFull filterDisLabel2D genBLDic genELDic getMaxDoc BIO2IO getWrapper filterDisPadding2D dicLookUpFlat ctc_lambda_func filterLabel predictFromClass2D filterLabel2D loadEmbedding locateFineDM bestBIO filterOutSenLv nFolds categorical_crossentropy_ignore getFolds getSplitDataFile getWrapper_output_shape convert2SenLv genLDicSenLv filterOut decode_batch locateDM maxmerge_shape genSCTDic maxmerge genInvLDic predictFromClassNoPadding dicLookUp2D labelLookUpOri convert2twoway loadList filterLabelNoPadding genInputSCTNoPadding filterDisPadding BIOconflict sigTestStab labelLookUp dicLookUp dicLookUpNoPadding pipelinePred genInputSCT genHiddenInputSCT flatten2Dlist printOutSenLabel convert2BIE labelLookUp2D labelLookUpNoPadding predictFromClass findTrues fineGrainDM randomFolds list max list print average split append zeros enumerate isfile append flatten2Dlist enumerate len flatten2Dlist append range enumerate isfile len len zeros enumerate zeros enumerate zeros enumerate zeros enumerate append enumerate append append argmax append range append range zeros range len seed int endswith shuffle append listdir enumerate len seed int shuffle append enumerate len int shuffle append listdir range enumerate len extend enumerate list extend enumerate set append enumerate append enumerate append enumerate append enumerate append enumerate append enumerate zeros enumerate zeros enumerate append enumerate append lower enumerate append lower enumerate append lower enumerate ones_like zeros_like print exit shape softmax clip append append append zeros append append range len dtype min len extend choice unique bincount empty max range append enumerate extend enumerate len extend append range enumerate len extend append range enumerate list extend reversed enumerate len list input print append argmax range ttest_1samp seed int list shuffle zip append range enumerate len | webis-de/unit-segmentation-of-argumentative-texts | 4,078 |
weihua916/imsat | ['unsupervised image classification', 'data augmentation'] | ['Learning Discrete Representations via Information Maximizing Self-Augmented Training'] | imsat_hash.py calculate_distance.py mnist/load_mnist.py imsat_cluster.py entropy enc_aux_noubs loss_unlabeled Encoder distance loss_test loss_equal call_bn kl vat loss_information enc_test enc_aux_noubs loss_unlabeled Encoder distance loss_test call_bn vat Data load_mnist_whole normal backward Variable reshape transpose astype float32 grad distance prop_eps forward range unchain_backward data vat data argmax Munkres compute to_cpu logical_and range append zeros float sum log len entropy sum softmax enc sigmoid data list reshape concat tuple extend range sigmoid separate enc expand_dims sum log len data Data print fetch_mldata astype float32 target int32 | weihua916/imsat | 4,079 |
weijiawu/Unconstrained-Text-Detection-with-Box-Supervisionand-Dynamic-Self-Training | ['optical character recognition', 'scene text detection', 'curved text detection'] | ['EAST: An Efficient and Accurate Scene Text Detector', 'Shape Robust Text Detection with Progressive Scale Expansion Network', 'Polygon-free: Unconstrained Scene Text Detection with Box Annotations'] | PSENet_box_supervision/dataset/augment.py TextBoxSeg/segmentron/solver/loss.py TextBoxSeg/segmentron/models/textseg_attention.py TextBoxSeg/segmentron/utils/visualize.py PSENet_box_supervision/train_synthtext.py PSENet_box_supervision/models/model.py TextBoxSeg/segmentron/config/settings.py TextBoxSeg/segmentron/data/dataloader/Curved_Synthtext_attention.py PSENet_box_supervision/dataset/augment_img.py TextBoxSeg/demo/test.py PSENet_box_supervision/evaluation/msra/file_util.py TextBoxSeg/tools/demo_tt.py TextBoxSeg/demo/curved_st800k_crop.py TextBoxSeg/segmentron/utils/default_setup.py PSENet_box_supervision/config/totaltext/psenet_baseline.py PSENet_box_supervision/pse_pyx/__init__.py PSENet_box_supervision/models/mobilenetv3.py EAST_box_supervision/train_ICDAR15.py PSENet_box_supervision/evaluation/msra/eval.py TextBoxSeg/segmentron/utils/registry.py PSENet_box_supervision/models/loss.py PSENet_box_supervision/config/icdar15/icdar15_baseline.py PSENet_box_supervision/utils/__init__.py EAST_box_supervision/eval.py TextBoxSeg/segmentron/modules/batch_norm.py TextBoxSeg/tools/demo_ic15_pslabel.py PSENet_box_supervision/pse/__init__.py TextBoxSeg/segmentron/config/config.py TextBoxSeg/segmentron/config/__init__.py TextBoxSeg/segmentron/models/backbones/__init__.py TextBoxSeg/segmentron/data/dataloader/utils.py TextBoxSeg/segmentron/modules/sync_bn/syncbn.py PSENet_box_supervision/test_msra.py TextBoxSeg/segmentron/data/dataloader/__init__.py EAST_box_supervision/dataset/SynthText.py TextBoxSeg/segmentron/models/model_zoo.py TextBoxSeg/segmentron/models/__init__.py TextBoxSeg/segmentron/models/backbones/hrnet.py TextBoxSeg/segmentron/models/backbones/build.py PSENet_box_supervision/predict.py TextBoxSeg/demo/st800k_crop.py TextBoxSeg/tools/demo_msra.py EAST_box_supervision/trainSyndata.py PSENet_box_supervision/dataset/msra_td500.py EAST_box_supervision/network/model.py PSENet_box_supervision/config/msra/msra_pseudo.py EAST_box_supervision/evaluate/script.py TextBoxSeg/segmentron/utils/distributed.py PSENet_box_supervision/test_icdar15.py EAST_box_supervision/dataset/dataset.py TextBoxSeg/segmentron/utils/filesystem.py TextBoxSeg/segmentron/solver/lr_scheduler.py PSENet_box_supervision/train_msra.py PSENet_box_supervision/utils/.ipynb_checkpoints/config_icdar15-checkpoint.py PSENet_box_supervision/models/ShuffleNetV2.py PSENet_box_supervision/dataset/total_aug.py PSENet_box_supervision/dataset/__init__.py TextBoxSeg/segmentron/data/dataloader/st800k.py TextBoxSeg/segmentron/models/backbones/mobilenet.py TextBoxSeg/segmentron/modules/cc_attention.py PSENet_box_supervision/config/msra/msra_baseline.py EAST_box_supervision/lib/detect.py EAST_box_supervision/evaluate/msra/file_util.py PSENet_box_supervision/utils/config_icdar15.py PSENet_box_supervision/train_icdar15.py TextBoxSeg/segmentron/models/backbones/resnet.py TextBoxSeg/segmentron/data/dataloader/seg_data_base.py TextBoxSeg/segmentron/models/segbase.py TextBoxSeg/segmentron/modules/module.py TextBoxSeg/segmentron/models/backbones/xception.py PSENet_box_supervision/evaluation/script.py PSENet_box_supervision/models/__init__.py TextBoxSeg/segmentron/data/dataloader/Curved_Synthtext.py PSENet_box_supervision/utils/config_totaltext.py TextBoxSeg/segmentron/utils/parallel.py TextBoxSeg/tools/demo_tt_sw.py EAST_box_supervision/evaluate/msra/eval.py TextBoxSeg/segmentron/solver/lovasz_losses.py PSENet_box_supervision/utils/utils.py TextBoxSeg/segmentron/utils/__init__.py TextBoxSeg/segmentron/data/dataloader/TextSegmentation_total.py PSENet_box_supervision/dataset/icdar15_load.py PSENet_box_supervision/pse_pyx/setup.py TextBoxSeg/segmentron/utils/logger.py PSENet_box_supervision/dataset/total_text_load.py TextBoxSeg/segmentron/models/textseg.py TextBoxSeg/segmentron/modules/basic.py EAST_box_supervision/dataset/MSRA_TD500.py PSENet_box_supervision/models/resnet.py TextBoxSeg/segmentron/solver/optimizer.py PSENet_box_supervision/dataset/synthtext_load.py TextBoxSeg/segmentron/modules/__init__.py TextBoxSeg/segmentron/utils/options.py TextBoxSeg/segmentron/utils/score.py PSENet_box_supervision/train_totaltext.py EAST_box_supervision/test_msra.py TextBoxSeg/segmentron/utils/show.py PSENet_box_supervision/evaluation/rrc_evaluation_funcs.py EAST_box_supervision/evaluate/rrc_evaluation_funcs.py TextBoxSeg/segmentron/utils/download.py TextBoxSeg/segmentron/utils/env.py TextBoxSeg/demo/st800k_crop2.py PSENet_box_supervision/config/icdar15/icdar15_pseudo.py PSENet_box_supervision/utils/lr_scheduler.py TextBoxSeg/tools/demo_ic15.py EAST_box_supervision/network/loss.py EAST_box_supervision/dataset/ICDAR15.py TextBoxSeg/segmentron/__init__.py PSENet_box_supervision/utils/config_synthtext.py TextBoxSeg/segmentron/models/backbones/eespnet.py EAST_box_supervision/train_msra.py EAST_box_supervision/lib/utils.py PSENet_box_supervision/config/totaltext/psenet_pseudo.py PSENet_box_supervision/utils/.ipynb_checkpoints/config_icdar17-checkpoint.py cvt2HeatmapImg test cvt2HeatmapImg test extract_vertices train train train rotate_vertices get_rotate_mat shrink_poly is_cross_text move_points extract_vertices rotate_all_pixels find_min_rect_angle get_score_geo rotate_img custom_dataset get_boundary cal_error crop_img cal_distance adjust_height rotate_vertices get_rotate_mat shrink_poly is_cross_text move_points extract_vertices ICDAR15 rotate_all_pixels find_min_rect_angle get_score_geo rotate_img get_boundary cal_error crop_img cal_distance adjust_height is_cross_text scale_aligned move_points adjust_height rotate_vertices cal_distance get_ann get_score_geo get_rotate_mat shrink_poly extract_vertices random_scale find_min_rect_angle rotate_img MSRA_TD500 rotate_all_pixels get_boundary cal_error crop_img rotate_vertices get_rotate_mat shrink_poly is_cross_text move_points extract_vertices rotate_all_pixels find_min_rect_angle get_score_geo rotate_img get_boundary cal_error crop_img SynthText cal_distance adjust_height 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 evaluate_method default_evaluation_params evaluation_imports getresult eval_2015 validate_data get_union get_gt get_msra_result get_intersection get_pred write_file_not_cover write_file read_file read_dir restore_polys resize_img get_boxes detect_dataset detect_17 detect_15 adjust_ratio detect_msra plot_boxes is_valid_poly load_pil adjust_box_sort setup_logger Loss get_dice_loss get_geo_loss extractor VGG output EAST make_layers merge _get_annotation Pytorch_model eval scale_image eval scale_image main adjust_learning_rate train_epoch weights_init dice_loss train_epoch ohem_batch scale_image ohem_single weights_init main train_epoch eval adjust_learning_rate weights_init main dice_loss scale_aligned_short ohem_batch train_epoch ohem_single weights_init main print print print print pprint pprint DataAugment show_pic DataAugment show_pic augmentation ICDAR15 image_label generate_rbox check_and_validate_polys augmentation scale_aligned extract_vertices random_scale MSRA_TD500 image_label generate_rbox check_and_validate_polys get_ann get_img Synthtext scale_aligned random_crop_padding random_rotate random_scale image_label generate_rbox random_horizontal_flip check_and_validate_polys DataAugment show_pic get_img random_crop scale_aligned random_crop_padding shrink get_bboxes random_rotate random_scale read_mat_lindes dist image_label generate_rbox random_horizontal_flip check_and_validate_polys resize TotalTextoader perimeter 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 evaluate_method default_evaluation_params evaluation_imports getresult eval_2015 validate_data get_union get_gt get_msra_result get_intersection get_pred write_file_not_cover write_file read_file read_dir PSELoss hsigmoid Block SeModule hswish MobileNetV3_Small MobileNetV3_Large PSENet ResNet resnet50 Bottleneck resnet152 conv3x3 resnet34 resnet18 BasicBlock resnet101 shufflenet_v2_x2_0 shufflenet_v2_x1_5 InvertedResidual shufflenet_v2_x1_0 _shufflenetv2 channel_shuffle shufflenet_v2_x0_5 ShuffleNetV2 decode pse_warpper decode_icdar17 decode_total print print pprint WarmupMultiStepLR remove_all get_dir is_dir save_checkpoint exists show_img cvt2HeatmapImg join_path to_lowercase is_str get_absolute_path debug setup_logger write_result_as_txt mkdir ls exe_time read_lines ends_with load_checkpoint AverageMeter write_lines make_parent_dir split draw_bbox replace_all print print show get_patchs readimg makedirs show get_patchs readimg makedirs show get_patchs readimg makedirs SegmentronConfig TextSegmentation_CurvedST800 _get_curved_st800_pairs _get_st800kcrop_pairs TextSegmentation_attention SegmentationDataset SegmentationDataset_total scale_image _get_st800kcrop_pairs TextSegmentation _get_st800kcrop_pairs TextSegmentation_total download_extract download_url check_integrity gen_bar_updater makedir_exist_ok get_segmentation_dataset load_model_pretrain get_segmentation_model _flip_image _pad_image _resize_image SegBaseModel _crop_image _to_tuple TextSeg _resize_image _DeepLabHead textseg_attention _DeepLabHead_attention _resize_image FusHead _DeepLabHead load_backbone_pretrained get_segmentation_backbone eespnet DownSampler EESPNet hrnet_w18_small_v1 Bottleneck HighResolutionModule HighResolutionNet conv3x3 BasicBlock mobilenet_v2 mobilenet_v1 MobileNet MobileNetV2 BasicBlockV1b ResNetV1 resnet101c resnet152c BottleneckV1b resnet50 resnet152 resnet34 resnet18 resnet50c resnet101 Enc FCAttention XceptionA xception65 xception_a Xception65 BlockA XceptionBlock _ConvBNPReLU _fixed_padding _BNPReLU _DepthwiseConv InvertedResidual _ConvBNReLU SeparableConv2d _ConvBN _pytorch_padding AllReduce groupNorm NaiveSyncBatchNorm FrozenBatchNorm2d get_norm _CAWeight CrissCrossAttention _CAMap CAM_Module PAM_Module _FCNHead PyramidPooling EESP _ASPP BatchNorm1d BatchNorm2d BatchNorm3d SyncBatchNorm EncNetLoss LovaszSoftmax OhemCrossEntropy2d BinaryDiceLoss MixSoftmaxCrossEntropyOHEMLoss MixSoftmaxCrossEntropyLoss FocalLoss bce_loss DiceLoss get_segmentation_loss ICNetLoss TranslabLoss lovasz_grad flatten_binary_scores iou binary_xloss xloss lovasz_hinge_flat StableBCELoss lovasz_hinge lovasz_softmax_flat isnan mean flatten_probas lovasz_softmax iou_binary WarmupCosineLR _get_warmup_factor_at_iter WarmupPolyLR get_scheduler WarmupMultiStepLR _set_batch_norm_attr _get_paramters get_optimizer default_setup make_data_sampler synchronize DistributedSampler get_world_size reduce_dict IterationBasedBatchSampler all_gather get_rank make_batch_data_sampler is_main_process reduce_loss_dict download check_sha1 seed_all_rng save_checkpoint makedirs setup_logger parse_args DataParallelModel Reduce get_a_var DataParallelCriterion criterion_parallel_apply Registry SegmentationMetric batch_intersection_union batch_mae hist_info pixelAccuracy batch_pix_accuracy intersectionAndUnion compute_score batch_ber get_bboxes mask_image read_mat_lindes show_prediction _getvocpallete show_colorful_images save_colorful_images set_img_color print_iou get_color_pallete parse_img_gt demo is_cross_text move_points demo adjust_height rotate_vertices parse_img_gt inference cal_distance get_score_geo get_rotate_mat shrink_poly extract_vertices get_pseudo_pabel find_min_rect_angle rotate_img adjust_box_sort rotate_all_pixels get_boundary cal_error crop_img get_ann RotateClockWise90 demo scale_image RotateClockWise90 parse_img_gt demo scale_image RotateClockWise90 parse_img_gt demo scale_image applyColorMap uint8 astype COLORMAP_JET join basename vis_path print convert tqdm eval detect splitext imread listdir append list map workspace extract_vertices eval_path rmtree get_msra_result detect_msra exists makedirs int time format criterion model backward batch_size zero_grad localtime asctime item info epoch_iter step enumerate len cal_distance move_points min copy cal_distance dot T get_rotate_mat min max get_boundary cal_distance rotate_vertices list sorted min pi append cal_error float max range len reshape area convex_hull int height is_cross_text resize rand BILINEAR shape width zeros crop arange concatenate reshape dot shape meshgrid array int height rand BILINEAR copy around resize rotate_vertices height rand BILINEAR pi rotate shape width zeros array enumerate int rotate_vertices arange get_rotate_mat fillPoly astype float32 rotate_all_pixels find_min_rect_angle get_boundary int32 meshgrid zeros append enumerate ones adjust_box_sort asarray decode adjust_box_sort list_from_file asarray replace reshape boxPoints pi append float array split int BILINEAR resize min array scale_aligned choice write exit print 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 list items close dumps write 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 compute_ap area list decode_utf8 append polygon_from_points range import_module get_intersection_over_union load_zip_file empty get_tl_line_values_from_file_contents float items namedtuple int8 rectangle_to_polygon Rectangle get_intersection zeros len join ZIP_DEFLATED write close dirname listdir ZipFile main_evaluation eval_2015 print append split int reshape boxPoints pi append float split area int get_union get_gt zip get_pred Polygon reshape print read_dir get_intersection float array len append sort walk replace read close open join makedirs close write open join makedirs close write open int size min BILINEAR resize Compose range get_rotate_mat concatenate dot array append is_valid_poly range restore_polys astype copy shape argwhere zeros merge_quadrangle_n9 resize_img numpy get_boxes resize_img numpy get_boxes resize_img numpy get_boxes polygon Draw sorted format print extend detect listdir enumerate open list reshape sort min extend range setFormatter remove basicConfig getLogger addHandler StreamHandler info ColoredFormatter DEBUG setLevel exists sum min cos split Conv2d int min max resize join unsqueeze_ format workspace to reshape print testroot getresult tqdm savetxt gt_name resize imread max makedirs copy scale_image get_msra_result isinstance Conv2d bias weight kaiming_normal_ constant_ warm_up_epoch param_groups lr_gamma lr zero_grad unsqueeze display_output_images display_interval step format size info item net enumerate time display_input_images make_grid criterion backward reshape sigmoid cpu train epochs MultiStepLR gpu_id DataLoader __version__ DataParallel save_checkpoint device exp_name PSENet seed trainroot workspace_dir len Adam apply device_count to lr_decay_step range manual_seed_all format workspace PSELoss is_pseudo setup_logger ICDAR15 start_epoch manual_seed info checkpoint join time print load_checkpoint train_epoch __len__ parameters epochs makedirs int sort min float sum append float range ohem_single kernel_num append sum range ohem_batch float len sigmoid sum view mean msra_path hust_path MSRA_TD500 rmtree exists Synthtext rmtree int min resize TotalTextoader train_data_dir test_data_dir pprint train_gt_dir test_gt_dir items items list int line tuple astype copy imshow array append clip contourArea PyclipperOffset int zip fillPoly JT_ROUND astype arcLength contourArea zeros AddPath array ET_CLOSEDPOLYGON Execute random_scale random_rotate_img_bbox horizontal_flip augmentation random_crop_author COLOR_BGR2RGB ones min shape generate_rbox check_and_validate_polys resize append imread array range cvtColor fromarray random_crop_padding convert astype random_scale extend random_rotate random_horizontal_flip float astype boundingRect range copy len warpAffine random getRotationMatrix2D range len int copyMakeBorder min where append max range len imread get_absolute_path loadmat str encode T asarray read_mat_lindes append array range enumerate len range PyclipperOffset int JT_ROUND area min append AddPath array perimeter ET_CLOSEDPOLYGON Execute array min where randint max range len len range random_crop len print join ResNet _load_pretrained_model ResNet _load_pretrained_model ResNet _load_pretrained_model ResNet _load_pretrained_model ResNet _load_pretrained_model size view contiguous load_url ShuffleNetV2 load_state_dict info connectedComponents uint8 astype append pse_cpp array range len boxPoints astype float32 minAreaRect sigmoid mean pse_warpper shape resize append zeros numpy boxPoints astype float32 sigmoid mean pse_warpper append minAreaRect numpy uint8 CHAIN_APPROX_SIMPLE ones reshape findContours RETR_EXTERNAL astype float32 sigmoid mean pse_warpper shape contourArea resize dilate zeros numpy append get_absolute_path open join_path makedirs write_lines append range enumerate len get_absolute_path make_parent_dir get_dir mkdir get_absolute_path get_absolute_path makedirs is_dir get_absolute_path get_absolute_path join imwrite concatenate makedirs append range len imshow expand_dims figure line isinstance tuple astype copy imread findall replace save info load load_state_dict info expanduser startswith append listdir get_absolute_path ends_with list tuple to_lowercase is_str enumerate fillPoly transpose shape append zeros array boundingRect enumerate join get_path_pairs tqdm md5 hexdigest makedirs join basename urlretrieve print expanduser makedir_exist_ok download_url MODEL_NAME load_model_pretrain load items list format state_dict PRETRAINED_MODEL_PATH OrderedDict load_state_dict info append TEST_MODEL_PATH shape pad Number isinstance load format isfile load_url BACKBONE_PRETRAINED_PATH load_state_dict info load_backbone_pretrained XceptionA Xception65 _fixed_padding isinstance lower info cumsum sum len mean zip append float sum zip append float sum range mean lovasz_hinge_flat data lovasz_grad relu Variable sort dot float view Variable float flatten_binary_scores mean lovasz_softmax_flat data lovasz_grad Variable sort size dot append float abs size view filterfalse next iter enumerate EPOCHS lower setattr isinstance named_modules _set_batch_norm_attr list format BN_MOMENTUM decoder BN_EPS_FOR_DECODER parameters BN_TYPE info append BN_EPS_FOR_ENCODER Adadelta Adam RMSprop SGD lower _get_paramters format info init_process_group synchronize set_device setup_logger dumps distributed get_rank local_rank seed_all_rng barrier get_world_size from_buffer dumps get_world_size loads zip append to max cat get_world_size get_world_size SequentialSampler RandomSampler BatchSampler IterationBasedBatchSampler sha1 min hexdigest len get join isdir print dirname abspath expanduser makedirs seed int set_rng_state format from_bytes get_state getLogger strftime getpid info urandom str join format MODEL_SAVE_DIR expanduser makedirs join FileHandler Formatter INFO makedirs add_argument ArgumentParser items list isinstance map Tensor join isinstance _worker len start is_grad_enabled append range Lock sum argmax long mean float sum zeros float argmax long cpu float argmax histc sum histogram sum nanmean sum diag shape astype zeros randint join print size nanmean append range range len uint8 array set_img_color fromarray show fromarray join mkdir save fromarray astype putpalette range save device resize exists update_from_file fromarray parse_img_gt len append parse_args to format concatenate config_file Compose default_setup BASE_SIZE eval trange join print repeat check_and_freeze numpy array makedirs reshape open boundingRect append split imwrite pi open ylabel title savefig writelines inference plot get_pseudo_pabel close find_min_rect_angle enumerate drawContours adjust_box_sort reshape xlabel system sort findContours RETR_EXTERNAL astype boundingRect minAreaRect CHAIN_APPROX_NONE array size BASE_SIZE cuda resize array transpose flip fillPoly abspath max ROTATE_90 RotateClockWise90 ones transpose morphologyEx imread get_ann astype copy distanceTransform zip dilate DIST_L1 DIST_MASK_3 uint8 extend MORPH_CLOSE MORPH_OPEN zeros astype | weijiawu/Unconstrained-Text-Detection-with-Box-Supervisionand-Dynamic-Self-Training | 4,080 |
weilinie/RelGAN | ['text generation'] | ['RelGAN: Relational Generative Adversarial Networks for Text Generation'] | oracle/oracle_gan/oracle_loader.py oracle/oracle_gan/oracle_train.py utils/utils.py utils/text_process.py models/rmc_att.py real/real_gan/real_train.py run.py utils/metrics/Bleu.py models/rmc_vanilla.py models/__init__.py models/rmc_vdcnn.py utils/metrics/Nll.py test_coco_model.py utils/metrics/Metrics.py models/lstm_vanilla.py utils/metrics/DocEmbSim.py real/experiments/coco_relgan.py utils/metrics/SelfBleu.py utils/models/relational_memory.py oracle/experiments/oracle_relgan.py real/experiments/emnlp_relgan.py utils/ops.py real/real_gan/real_loader.py utils/models/OracleLstm.py main generator create_lstm_output_unit discriminator create_recurrent_unit generator discriminator generator discriminator generator conv_block discriminator get_discriminator get_generator OracleDataLoader get_metrics oracle_train get_fixed_temperature get_losses get_metric_summary_op get_train_ops RealDataLoader get_metrics get_fixed_temperature get_losses get_metric_summary_op real_train get_train_ops lrelu mlp create_bias_initializer linear create_linear_initializer create_output_unit add_gumbel_cond l2_norm spectral_norm hw_flatten conv2d highway self_attention add_gumbel gradient_penalty text_precess get_tokenlized get_word_list code_to_text text_to_code get_dict generate_samples get_oracle_file init_sess pre_train_epoch plot_csv get_real_test_file Bleu DocEmbSim Metrics Nll SelfBleu OracleLstm RelationalMemory OracleLstm get_discriminator batch_size real_train dataset OracleDataLoader oracle_train data_dir pprint parse_args format text_precess get_generator d_architecture vars join print RealDataLoader seq_len g_architecture embedding_lookup constant while_loop transpose TensorArray stack create_lstm_output_unit unstack create_recurrent_unit zeros get_variable concat get_variable squeeze matmul conv2d highway append expand_dims sum format dropout relu zip as_list int print reshape linear max_pool get_variable get_variable RelationalMemory initial_state create_output_unit flatten self_attention conv_block dense transpose values seed join generator one_hot Variable float32 placeholder set_random_seed get_losses assign_add assign merge get_train_ops int32 discriminator get_metric_summary_op Saver makedirs tanh sigmoid_cross_entropy_with_logits squared_difference relu square reduce_mean log gradient_penalty list format gradients clip_by_global_norm print get_collection TRAINABLE_VARIABLES AdamOptimizer apply_gradients RMSPropOptimizer zip exponential_decay len Nll DocEmbSim append pretrain_loss x float32 placeholder append scalar merge sqrt exp log generator join format one_hot Variable float32 placeholder merge get_losses assign_add assign get_metric_summary_op get_train_ops int32 discriminator Saver makedirs SelfBleu Bleu range format range sqrt as_list linear act_func range len sqrt reshape matmul hw_flatten conv2d softmax get_variable as_list reshape transpose l2_norm matmul range get_variable get_variable shape random_uniform add as_list format reduce_logsumexp print truncated_gumbel reduce_sum shape random_uniform norm square flatten reduce_mean discriminator random_uniform len list map len list append list dict str list get_tokenlized get_word_list get_dict max len int list join extend range run global_variables_initializer ConfigProto Session run num_batch append next_batch reset_pointer range run genfromtxt join format plot get_name xlabel print axvline ylabel savefig figure legend dirname range len get_tokenlized get_word_list get_dict get_tokenlized | weilinie/RelGAN | 4,081 |
weimin17/semEval-taks1 | ['semantic parsing'] | ['CUNY-PKU Parser at SemEval-2019 Task 1: Cross-Lingual Semantic Parsing with UCCA'] | self-attentive-parser/src/vocabulary.py tupa0222/tests/test_features.py tupa0222/tupa/classifiers/classifier.py self-attentive-parser/export/export_bert.py tupa0222/tests/test_config.py tupa0222/tupa/parse.py tupa0222/docs/conf.py tupa0222/tupa/states/state.py tupa0222/tupa/classifiers/nn/sub_model.py tupa0222/tupa/features/dense_features.py self-attentive-parser/benepar/bert_tokenization.py self-attentive-parser/src/transliterate.py tupa0222/tests/conftest.py tupa0222/tests/test_oracle.py tupa0222/tupa/classifiers/noop.py tupa0222/tupa/classifiers/nn/mlp.py tupa0222/tupa/__version__.py tupa0222/tupa/features/feature_extractor.py tupa0222/tupa/states/node.py tupa0222/tupa/scripts/conll18_ud_eval.py tupa0222/tupa/scripts/load_save.py tupa0222/tupa/__main__.py tupa0222/tupa/classifiers/nn/birnn.py tupa0222/tests/test_model.py tupa0222/revise_formation.py tupa0222/tupa/scripts/enum_to_json.py self-attentive-parser/benepar/base_parser.py self-attentive-parser/src/parse_nk.py tupa0222/setup.py tupa0222/tupa/model_util.py tupa0222/server/parse_server.py self-attentive-parser/src/viz.py tupa0222/tupa/scripts/export.py tupa0222/tupa/scripts/dump_vocab.py data/src/splitconllu.py tupa0222/tupa/action.py self-attentive-parser/benepar/spacy_plugin.py self-attentive-parser/src/nkutil.py tupa0222/tupa/labels.py self-attentive-parser/src/trees.py self-attentive-parser/benepar/nltk_plugin.py tupa0222/tupa/oracle.py tupa0222/tupa/features/sparse_features.py data/src/tb_to_stanford_2.py tupa0222/tupa/scripts/tune.py self-attentive-parser/benepar/__init__.py tupa0222/tupa/features/feature_params.py self-attentive-parser/export/export.py tupa0222/tupa/traceutil.py tupa0222/tupa/classifiers/linear/sparse_perceptron.py tupa0222/tests/test_parser.py tupa0222/tupa/scripts/visualize_learning_curve.py tupa0222/tupa/classifiers/nn/util.py self-attentive-parser/benepar/downloader.py tupa0222/tupa/features/empty_features.py tupa0222/tupa/states/edge.py self-attentive-parser/src/preprocess.py self-attentive-parser/src/dev_pre.py tupa0222/tupa/scripts/viz.py self-attentive-parser/src/main.py tupa0222/tupa/model.py self-attentive-parser/setup.py tupa0222/tupa/config.py tupa0222/tupa/classifiers/nn/neural_network.py self-attentive-parser/src/test_pre.py self-attentive-parser/src/evaluate.py tupa0222/tupa/scripts/strip_multitask.py tupa0222/tupa/classifiers/nn/constants.py replace convert readname splitsingleline BaseParser BasicTokenizer WordpieceTokenizer load_vocab whitespace_tokenize _is_whitespace _is_control BertTokenizer _is_punctuation download load_model get_downloader Parser PartialConstituentData parse_string get_parent_span BeneparComponent get_labels get_subconstituents get_child_spans NonConstituentException get_constituent ConstituentData FScore evalb format_elapsed run_ensemble torch_load run_viz make_hparams main run_train run_parse run_test HParams ben2constituency arabic hebrew InternalParseNode LeafParseNode load_trees load_silver_trees_single ParseNode LeafTreebankNode load_silver_trees InternalTreebankNode TreebankNode viz viz_attention Vocabulary replace install Mock parse download parser_demo get_parser visualize config pytest_addoption empty_features_config passage_files basename write_oracle_actions Settings default_setting weight_decay pytest_generate_tests write_features create_config load_passage remove_existing test_passage assert_all_params_equal test_boolean_params config test_params test_hyperparams _test_features test_features_conllu test_feature_templates FeatureExtractorCreator test_features feature_extractors extract_features test_model parse test_oracle gen_actions test_train_empty test_ensemble test_extra_classifiers test_parser test_copy_shared test_empty_features test_iterations Action Actions Config FallbackNamespace Iterations Hyperparams add_param_arguments HyperparamsInitializer Labels ParameterDefinition Model ClassifierProperty DropoutDict DefaultOrderedDict remove_backup load_enum KeyBasedDefaultDict AutoIncrementDict jsonify Strings load_dict UnknownDict save_dict IdentityVocab remove_existing save_json Lexeme Vocab load_json is_terminal_edge is_implicit_node is_remote_edge Oracle print_scores generate_and_len to_lower_case read_passages single_to_iter Parser PassageParser get_eval_type from_text_format get_output_converter AbstractParser train_test ParserException ParseMode main BatchParser percents_str main_generator average_f1 tracefunc set_tracefunc set_traceback_listener print_traceback dict_value Classifier NoOp FeatureWeights FeatureWeightsCreator SparsePerceptron HighwayRNN HierarchicalBiRNN BiRNN EmptyRNN CategoricalParameter MultilayerPerceptron NeuralNetwork AxisModel SubModel randomize_orthonormal DenseFeatureExtractor EmptyFeatureExtractor dep_distance static_vars height FeatureTemplateElement FeatureTemplate gap_type get_punctuation head_terminal gap_lengths calc prop_getter FeatureExtractor head_terminal_height has_gaps gap_length_sum FeatureParameters NumericFeatureParameters SparseFeatureExtractor UDError _decode evaluate load_conllu load_conllu_file TestAlignment main _encode main main decode main save_model load_model main main delete_if_exists strip_multitask sample main get_values_based_on_format Params main load_scores visualize main smooth visualize Edge Node State InvalidActionError mkstemp remove move print remove format isfile print close len OrderedDict strip split strip split category category startswith startswith category ord Downloader format find _constituent_data range ends len get_constituent doc get_constituent label_vocab doc get_constituent label_vocab start doc get_constituent label_vocab sent doc get_constituent label_vocab join list format cleanup name print leaves FScore nan zip exists TemporaryDirectory run use_cuda divmod int time format InternalParseNode children NKChartParser from_spec batch_size START check_dev clip_grad_norm_ zero_grad ReduceLROnPlateau CHAR_START_SENTENCE checks_per_epoch max count seed sorted torch_load chr schedule_lr word CHAR_STOP_SENTENCE print_vocabs Adam step split_batch CHAR_STOP_WORD load_state_dict parse_batch ceil freeze STOP TAG_UNK range UNK sum format_elapsed format set_from_args Vocabulary predict_tags subbatch_max_tokens numpy_seed learning_rate_warmup_steps tag set reversed shuffle load_trees manual_seed label float pop int train_path dev_path learning_rate CHAR_START_WORD isinstance time print backward extend index CHAR_UNK print_vocabulary randint numpy len from_spec eval_batch_size time format torch_load format_elapsed print test_path_raw extend model_path_base load_trees parse_batch test_path evalb evalb_dir range len from_spec test_path eval_batch_size torch_load parse_batch append evalb evalb_dir range format_elapsed format load_trees decode_from_chart_batch label_vocab time print extend model_path_base len from_spec eval_batch_size time torch_load format value print extend model_path_base linearize parse_batch range output_path len from_spec eval_batch_size format torch_load print forward model_path_base dict load_trees parse_batch viz_attention viz_path range enumerate len callback populate_arguments add_argument make_hparams add_parser ArgumentParser parse_args set_defaults add_subparsers listdir write close join join isinstance helper InternalTreebankNode enumerate split append load_silver_trees_single items list isinstance display append Chart values enumerate viz print Parser decode print to_standard next from_text decode BytesIO print FigureCanvasAgg fromstring from_standard draw get_data print_png figure print addoption getoption parametrize Config update update_hyperparams update create_config read_files_and_dirs items sorted assert_allclose glob remove Config update update_hyperparams update items list update items list update_hyperparams items list params append need_label label_node values set_format list feature_extractor_creator get_label transition load_passage extract_features finished annotate State items join min init_param Actions Oracle _test_features _test_features feature_extractor_creator join set_format str argmax init_features update init_model finished_step State extract_features set_format finished_item update join load parse sorted items dict Model finalize remove_existing save range assert_all_params_equal all_params load_passage update dict set_format str finished label_node min need_label get_label transition Actions State Oracle values model tuple Parser weight_decay all_params list map append update parse passage_files init zip assert_allclose print dict average_f1 remove_existing train assert_all_params_equal update list passage_files print map dict Parser remove_existing train update list passage_files map update_hyperparams dict Parser remove_existing train update list parse passage_files map dict remove_existing train enumerate update list parse passage_files map dict Parser remove_existing train update list passage_files isinstance map dict remove_existing Iterations append train update dict remove_existing Action update add_argument_group get_group_arg_names add_mutually_exclusive_group add add_boolean ArgParser print copy2 glob remove setrecursionlimit time remove_existing print print time try_load print remove_existing print print_scores parse print Scores Parser testscores get lower all from_text join list passages print train_test Scores shuffle read_passages append folds range args print main_generator list set_traceback_listener print setprofile dump_traceback signal randn shape set_value svd child get_terminals any has_gaps list map sorted prop_getter rstrip UDWord list _decode len map add UDSpan append UDRepresentation range readline process_word words set startswith int join extend split align_words words open system_files format evaluate system_total load_conllu_file gold_file precision correct gold_total f1 recall enumerate counts model_name isinstance data lang get_vocab suffix load_model models params save_json filename ArgParser values load Model print savez_compressed save_model save difference delete_if_exists join basename keep out_dir strip_multitask makedirs get int seed map run max print list plot xlabel ylabel title clf savefig legend range len load_scores splitext visualize reshape subplots smooth values all_params set_major_locator ndarray colorbar pcolormesh OrderedDict delaxes append MaxNLocator tight_layout enumerate items isinstance tqdm sub sca | weimin17/semEval-taks1 | 4,082 |
weinman/cnn_lstm_ctc_ocr | ['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'] | src/filters.py src/model_fn.py src/test.py src/mjsynth-tfrecord.py src/train.py src/model.py src/utils.py src/charset.py src/validate.py src/pipeline.py src/evaluate.py src/mjsynth.py string_to_label num_classes label_to_string main _get_input _extract_metric_update_ops _get_config _get_filter input_filter_fn get_image make_example _int64_feature is_writable gen_data calc_seq_len get_image_filenames _bytes_feature main get_text_and_labels gen_shard _get_filenames element_length_fn preprocess_fn get_dataset postbatch_fn preprocess_image ctc_loss_layer pool_layer norm_layer get_sequence_lengths rnn_layer rnn_layers convnet_layers conv_layer train_fn _get_lexicon_output _get_loss_ops _get_dictionary_tensor _get_seq_err_ops _get_merged_output predict_fn _get_output _get_image_info evaluate_fn _get_open_output _get_training _get_testing _get_init_pretrained _get_label_err_ops get_data normalize_image pack_image rescale_image main _get_input _get_config main _get_input _get_distribution_strategy _get_config dense_to_sparse_tight main _get_input _get_image _get_config join get_data input_filter_fn append iteritems sorted group ConfigProto join model SummaryAtEndHook evaluate_repeatedly FileWriter make_one_shot_iterator output eval_metric_ops get_next EVAL evaluate_fn StopAfterNEvalsHook _get_input _extract_metric_update_ops greater_equal reshape add_filter less_equal get_sequence_lengths cast int32 join int str gen_shard print float close get_image_filenames log10 isfile ceil ConfigProto range Session len get_image join make_example TFRecordWriter print is_writable write SerializeToString close get_text_and_labels run string_to_label Example gen_data TFRecordDataset from_tensor_slices _get_filenames shuffle serialize_sparse cast int32 parse_single_example preprocess_image decode_jpeg int64 cast int32 deserialize_many_sparse rescale_image concat slice variance_scaling_initializer relu norm_layer conv2d constant_initializer max_pooling2d batch_normalization concat CudnnCompatibleLSTMCell bidirectional_dynamic_rnn truncated_normal_initializer variance_scaling_initializer constant_initializer relu ctc_loss reduce_mean reduce_sum rnn_layers num_classes convnet_layers Saver GLOBAL_VARIABLES get_collection Variable assign_add Variable assign_add group truediv Variable group assign_add int64 cast truediv load_op_library pad softmax encode word_beam_search exp ctc_beam_search_decoder concat transpose stack gather_nd argmax padded_batch postbatch_fn bucket_by_sequence_length write map exit get_dataset preprocess_fn apply filter repeat prefetch convert_image_dtype subtract float32 reshape size constant resize_images float64 multiply divide BICUBIC cast round int32 rescale_image rgb_to_grayscale RunConfig print Estimator evaluate num_gpus train_path static_data batch_size synth_config_file ipc_synth filename_pattern split train array open stdin pack_image rstrip concatenate map from_tensors preprocess_image _get_image label_to_string print_score next predict | weinman/cnn_lstm_ctc_ocr | 4,083 |
weiyao1996/ScRoadExtractor | ['boundary detection', 'semantic segmentation'] | ['Scribble-based Weakly Supervised Deep Learning for Road Surface Extraction from Remote Sensing Images'] | DBNet/wrapper/bilateralfilter/setup.py boundary_detect/traditional_edge_detect.py road_label_propagation.py DBNet/data.py boundary_detect/run.py DBNet/train.py DBNet/framework.py DBNet/loss.py DBNet/networks/dinknet.py DBNet/calc_param_num.py DBNet/test.py DBNet/wrapper/bilateralfilter/bilateralfilter.py DBNet/DenseCRFLoss.py superpixels_histograms_neighbors buffer_inference normalize_histograms find_superpixels_under_marking cal_fcn_prediction scribble do_graph_cut cumulative_histogram_for_superpixels pixels_for_segment_selection estimate Network randomRotate90 randomHorizontalFlip default_loader111 randomHueSaturationValue randomShiftScaleRotate ImageFolder default_loader randomVerticleFlip DenseCRFLossFunction DenseCRFLoss MyFrame partial_BCELoss Regularized_Loss TTAFrame _ASPPConv ResNet34_EdgeNet DecoderBlock _ASPP _AsppPooling _swig_repr initializePermutohedral swig_import_helper FloatVector _swig_setattr_nondynamic _swig_getattr bilateralfilter SwigPyIterator bilateralfilter_batch _swig_setattr Permutohedral line ones dilate shape randrange append zeros range len mark_boundaries astype float32 Delaunay COLOR_BGR2HSV unique slic array imsave cvtColor unique sum isin where array add_edge add_nodes compareHist add_tedge maxflow HISTCMP_KL_DIV range enumerate len ones dilate size uint8 COLOR_HSV2BGR merge add COLOR_BGR2HSV uniform randint cvtColor split T warpPerspective getPerspectiveTransform cos astype pi float32 dot shape uniform sin round array flip flip rot90 randomRotate90 randomHorizontalFlip format randomHueSaturationValue transpose randomShiftScaleRotate expand_dims IMREAD_GRAYSCALE imread randomVerticleFlip randomRotate90 randomHorizontalFlip format randomHueSaturationValue transpose randomShiftScaleRotate expand_dims IMREAD_GRAYSCALE imread randomVerticleFlip lstrip get __setattr__ get __repr__ delete_SwigPyIterator delete_FloatVector delete_Permutohedral | weiyao1996/ScRoadExtractor | 4,084 |
weizhepei/CasRel | ['relation extraction'] | ['A Novel Cascade Binary Tagging Framework for Relational Triple Extraction'] | data/Wiki-KBP/build_data.py run.py data/WebNLG/raw_WebNLG/generate.py data/NYT/build_data.py data/NYT11-HRL/build_data.py data/NYT/raw_NYT/generate.py data/NYT/test_split_by_type/generate_triples.py data/NYT/test_split_by_num/split_by_num.py data/WebNLG/test_split_by_num/split_by_num.py data/WebNLG/build_data.py utils.py data/WebNLG/test_split_by_type/generate_triples.py data/NYT10-HRL/build_data.py data_loader.py model.py to_tuple seq_padding data_generator load_data find_head_idx E2EModel Evaluate get_tokenizer seq_gather metric partial_match HBTokenizer extract_items is_multi_label is_over_lapping is_normal_triple load_data is_multi_label is_over_lapping is_normal_triple load_data range len append tuple max load seed list print shuffle to_tuple open range len sum layers bert_model load_trained_model_from_checkpoint Model add_loss summary expand_dims Input binary_crossentropy compile expand_dims cast arange concatenate join zip reshape predict set add repeat split encode tokenize enumerate append len print write dumps close set tqdm extract_items iter open add enumerate set is_normal_triple is_normal_triple extend set | weizhepei/CasRel | 4,085 |
wellecks/nonmonotonic_text | ['imitation learning', 'text generation'] | ['Non-Monotonic Sequential Text Generation'] | tree_text_gen/binary/common/data.py tree_text_gen/binary/bagorder/args.py tree_text_gen/binary/common/samplers.py tree_text_gen/binary/common/encoder.py tree_text_gen/binary/translation/metrics.py tree_text_gen/binary/common/trajectory_sampler.py tree_text_gen/binary/translation/evaluate.py tree_text_gen/binary/unconditional/train.py tree_text_gen/binary/bagorder/metrics.py tree_text_gen/binary/unconditional/args.py tree_text_gen/binary/common/transformer.py tree_text_gen/binary/common/attention.py tree_text_gen/binary/common/tree.py tree_text_gen/binary/translation/evaluation/ribes.py tree_text_gen/binary/unconditional/metrics.py tree_text_gen/binary/bagorder/train.py tree_text_gen/binary/translation/data.py tree_text_gen/binary/translation/train_transformer.py tree_text_gen/binary/common/constants.py tree_text_gen/binary/common/losses.py tree_text_gen/binary/unconditional/evaluate.py tree_text_gen/binary/common/oracle.py tree_text_gen/binary/translation/train.py tree_text_gen/binary/common/util.py tree_text_gen/binary/common/evaluate.py setup.py tree_text_gen/binary/bagorder/evaluate.py tree_text_gen/binary/translation/args.py tree_text_gen/binary/common/model.py model_args eval_single eval_dataset load_model print_output Metrics print_samples evaluate predict_batch train_epoch adjust AttentionLayer load_personachat SentenceDataset inds2toks build_tok2i LSTMEncoder BOWEncoder eval_sacrebleu eval_meteor eval_ribes predict_batch get_genorder_tokens save_tokens convert_samples eval_yisi eval_by_length _correct_policy_distribution sequential_set_no_stop_loss sequential_set_loss LSTMDecoder Oracle LeftToRightOracle TopkSampler initialize MultinomialSampler MixedRollin GreedySampler StochasticSampler PolicyCorrectSampler TrajectorySampler TrajectoryBatch SmallConfig Transformer PositionwiseFeedForward Decoder LayerNorm Embeddings Encoder GreedySampler TreeEncoding MixedPolicyCorrectSampler EncoderLayer MultiHeadedAttention PositionalEncoding DecoderLayer _build_tree_string generate_random_invalid BinaryNode build_tree print_tree Tree generate_left_to_right test_binarynode Node tree_to_text test_demo generate_random_valid setup get_optimizer log_tensorboard setup_tensorboard DataParallel mkdir_p date_filename dotdict init_embeddings masked_softmax common_args NormalField TranslationDataset load_iwslt load_iwslt_vocab load_transformer_eval eval_single load_model_eval eval_dataset print_output Metrics print_samples evaluate predict_batch train_epoch adjust print_samples evaluate predict_batch train_epoch adjust outputRIBES kendall RIBESevaluator main overlapping_count Corpus model_args sample_with_prefix calc_bleu load_model bleu_eval predict_batch get_bleu_parallel sample eval_dataset print_output Metrics predict_batch print_samples adjust train_epoch add_argument load join get MixedRollin GreedySampler load_state_dict to BOWEncoder open i2tok build_tree eval inds2toks tree_to_text tensor train forward split update tok2i i2tok predict_batch extend convert_samples tqdm eval report Metrics train enumerate print join print_samples batch_size clip_grad_norm_ zero_grad eval_metric n_classes report save device Metrics forward stamp max round log str longest_label log_directory append to next state_dict update format max_norm log_tensorboard mean eval item __iter__ expr_name enumerate int time join backward print predict_batch parameters reset loss_fn train step Oracle len join print build_tree tolist print_tree inds2toks tree_to_text range update join format state_dict log_tensorboard print predict_batch expr_name log_directory eval reset report lrshrink save Metrics train log enumerate hasattr log_tensorboard self_teach_beta_step beta_step beta max print len _add tolist build_tree inds2toks append tree_to_text range len enumerate decode remove communicate print float Popen split items list outputRIBES close getvalue dotdict float StringIO decode communicate float Popen split items list join decode remove communicate strip float Popen split eval_sacrebleu defaultdict sorted list i2tok print predict_batch convert_samples tqdm save_tokens eval tok2i keys enumerate append len clamp float masked_softmax _correct_policy_distribution log_softmax size mean stack append float sum range detach _correct_policy_distribution isinstance binary_cross_entropy log_softmax size mean stack append float sum range detach rollin_beta aux_end MixedRollin GreedySampler StochasticSampler n_classes rollin_mix_type device PolicyCorrectSampler append BinaryNode level index _inorder str value format right index left max range append len print print_dfs Tree Node generate next join print generate print_dfs Tree Node choices binomial next ascii_uppercase print print_dfs Tree Node generate next generate_random_invalid print to_text generate_left_to_right generate_random_valid print ascii_lowercase print_tree build_tree clamp float exp sum Adagrad Adadelta Adamax Adam RMSprop SGD Rprop float ASGD split get __delitem__ __setitem__ format print standard_normal set from_numpy len join configure date_filename makedirs log_value list items seed manual_seed set_device setup_tensorboard copy pprint device is_available dotdict gpu print makedirs now add_argument str print NormalField TranslationDataset Path datadir exists load str BOS_WORD format PAD_WORD src defaultdict update NODE_END itos trg EOS_WORD stoi vocab_size append _default_unk_index load join get MixedRollin GreedySampler LSTMEncoder load_state_dict to open load join SmallConfig Transformer DataParallel load_state_dict cuda exists open iter detach min get_oracle_trajectory TrajectorySampler get get_loss get_mixed_trajectory_loss rollin_beta beta_min find decode exp print min index append max range len str ref print RIBESevaluator today eval append range Corpus len add_option outputRIBES OptionParser debug parse_args TopkSampler StochasticSampler i2tok contiguous size convert_samples eval reset tok2i tensor cat i2tok predict_batch convert_samples eval tok2i train join list tuple apply_async close tqdm append Pool enumerate TopkSampler get_bleu_parallel min StochasticSampler eval device sample train range append format print lrshrink | wellecks/nonmonotonic_text | 4,086 |
wendazhou/nnet-compression-generalization | ['generalization bounds'] | ['Non-Vacuous Generalization Bounds at the ImageNet Scale: A PAC-Bayesian Compression Approach'] | nnet/models/lenet5.py nnet/pruning/__init__.py nnet/quantization/__init__.py scripts/compression_lenet/quantize.py nnet/train_simple/hooks.py nnet/compression/_utils.py nnet/datasets/imagenet_data.py nnet/datasets/mnist_data.py nnet/quantization/_getter.py nnet/compression/_arithmetic_coding.py nnet/pruning/commit_masked_value.py nnet/train_simple/_model_fn.py scripts/compression-mobilenet/quantize_mobilenet.py nnet/compression/bounds.py nnet/datasets/__init__.py nnet/pruning/_masks.py scripts/compression-mobilenet/noise_mobilenet.py scripts/compression_lenet/noise.py nnet/preprocessing/__init__.py nnet/quantization/_codebook.py nnet/datasets/cifar_random.py nnet/compression/_bit_manipulation.py nnet/models/layers.py scripts/compression_lenet/summary.py scripts/compression-mobilenet/prune_mobilenet_dns.py nnet/compression/algorithms.py nnet/models/resnet_model.py nnet/preprocessing/inception_preprocessing.py nnet/pruning/magnitude.py scripts/randomization-cifar/prune_resnet_dns.py nnet/train_simple/_input_fn.py nnet/compression/coding.py nnet/quantization/_minmax.py nnet/models/mobilenet.py nnet/pruning/dns.py scripts/compression_lenet/baseline.py scripts/compression_lenet/prune_dns.py nnet/models/rename.py nnet/compression/weights_noise.py nnet/train_simple/__init__.py scripts/randomization-cifar/train_resnet_random.py nnet/preprocessing/normalize_preprocessing.py nnet/compression/mnist.py normal_kl_divergence divergence_gains_opt pac_bayes_bound divergence_gains _ensure_sample _bernoulli_inv_laplace pac_bayes_bound_opt normal_mixture_log_density get_index_list _get_compression _iter_max_size LzmaCompression _decompress_default compress_variable EntropyEstimateCompression get_bits_for_index decompress_variable _compress_default compress_checkpoint get_variable_compression_summary get_variable_summary noisy_variable_getter apply_noise _default_filter _evaluate_function FlatFrequencyTable FrequencyTable ArithmeticCoderBase AdaptiveArithmeticCompression ArithmeticDecoder ArithmeticEncoder CheckedFrequencyTable SimpleFrequencyTable BitOutputStream BitInputStream BitsReader BitsAccumulator get_variable_compression_summary _get_smoothing_gains _call_function get_variable_summary _get_entropy _ensure_ckpt get_split _parse_record _get_random_labels_and_probability get_split _parse_record _make_record _decode_label _load_dataset _maybe_decompress get_split _decode_image dense format_input depthwise_conv2d conv2d batch_normalization _get_scope _ensure_mixed_precision _get_mixed_precision lenet _conv2d_layer convolutional_layer rename_pretrained separable_layer mobilenet_v1 _reduced_kernel_size_for_small_input final_layer mobilenet_v1_base wrapped_partial _batch_norm_and_relu main rename_variables make_final_block cifar10_resnet_v2_generator building_block imagenet_resnet_v2_generator conv2d_fixed_padding batch_norm_relu fixed_padding block_layer bottleneck_block resnet_v2 distorted_bounding_box_crop _decode_and_central_crop preprocess_for_train preprocess_for_eval preprocess_image distort_color apply_with_random_selector preprocess preprocess_for_train preprocess_for_eval _main commit_values _make_void default_thresh_fn make_dns_train_op _compute_dns_thresh _evaluate_function dns_grad_op percentile_thresh_fn dns_thresh_op pruning_weight_global_percentile _make_variable_pruning_op pruning_weight_local_percentile weights_percentile make_pruning_op CommitMaskedValueHook assign_masked_values_to_weights apply_mask _default_mask_filter masked_variable_getter make_pruning_summaries make_codebook_quantization codebook_quantization _evaluate_fn make_codebook_config make_codebook_init make_codebook_data apply_quantization quantized_variable_getter _evaluate_fn CommitQuantizedValueHook _make_data assign_quantized_values_to_weights _default_filter _add_to_collections make_minmax_init minmax_quantization _evaluate_fn make_minmax_config make_minmax_data make_minmax_quantization ExecuteAtStepHook ExecuteAtSessionCreateHook make_input_fn _get_value warm_start make_metrics _default_train_op_fn _get_optimizer make_model_fn _call_network_fn main _make_scale _make_scope _make_train_op evaluate _make_target_sparsity get_config _learning_rate scope _learning_rate_inverse main train _prob_piecewise _variable_filter _is_pointwise_variable evaluate get_config make_scope _train_fn _is_dense main train _quantize_init_op _make_num_bits main main _make_scope _train_op _prob_exponential _prob_inverse _trainable_variable_filter _variables_to_warm_start _scope _learning_rate _make_thresh_fn main _prob_piecewise main _variable_filter _train_fn _minmax_init_op main print_summaries _make_train_op evaluate get_config _scope _learning_rate main train main get_config train evaluate asarray var len index log_density atleast_1d shape _ensure_sample empty log broadcast asarray broadcast_arrays float64 reshape astype square empty_like pi logsumexp log flat partial concatenate normal_kl_divergence min unique abs max minimize_scalar _ensure_sample exp log minimize_scalar log log1p percentile get_bits_for_index int len write log2 ceil max push flush BitsAccumulator read empty range BitsReader _get_compression compression_weights ediff1d get_index_list list append flatnonzero pack compression_index unique tobytes keys zeros enumerate pop BytesIO write get_bits_for_index ravel len decompress read BytesIO hasattr to_bytes BitsReader zip zeros prod range BytesIO isinstance get_tensor load_checkpoint getvalue compress_variable callable _evaluate_function get load_checkpoint sum set_index from_dict _ensure_ckpt get_variable_to_shape_map get_index_list asarray cumsum divergence_gains_opt divergence_gains ediff1d log flatnonzero callable format gammaln print get_tensor tell _get_smoothing_gains log _call_function compress_variable append _ensure_ckpt get_variable_to_shape_map enumerate randint from_tensor_slices RandomState random_sample less_equal where cast parse_single_example decode_png transpose concat expand_dims values reshape uint8 decode_raw reshape uint8 decode_raw Exists _ensure_mixed_precision cast float16 cast warn float16 ACTIVATIONS add_to_collection isinstance ACTIVATIONS add_to_collection isinstance batch_norm build shape add_to_collection MODEL_VARIABLES variables BatchNormalization transpose cast float16 reshape batch_normalization relu6 isinstance convolutional_layer separable_layer stride kernel depth compute_depth enumerate as_list info partial update_wrapper as_list items list sub load_checkpoint format get_variable_to_shape_map info rsplit add_argument rename_variables import_module getattr set_verbosity ArgumentParser i parse_args o INFO batch_normalization relu pad fixed_padding random_uniform float32 decode_and_crop_jpeg extract_jpeg_shape stack cast int32 to_float resize_image_with_crop_or_pad divide image expand_dims decode_jpeg load_checkpoint get_variable_to_shape_map get_variable_to_dtype_map add_argument output ArgumentParser input parse_args commit_values print_usage dtype default_thresh_fn trainable_variables trainable_variables format name get_collection apply_gradients info append compute_gradients exponential_decay constant dns_grad_op AdamOptimizer name get_collection weights_percentile get_collection WEIGHTS get_collection WEIGHTS name add_to_collection basename get get_collection scalar get_collection TRAINABLE_VARIABLES callable int _evaluate_fn get_variable gather multiply scatter_update to_float not_equal reshape size where shape assign no_op gather range scatter_nd_update py_func add_to_collection signature _add_to_collections _evaluate_fn variables get_collection callable MODEL_VARIABLES _evaluate_fn get_variable dtype fake_quant_with_min_max_vars not_equal multiply sign cast minimum ones_like isinstance not_equal Variable reduce_max reduce_min group where assign abs initialized_value model_variables list load_checkpoint init_from_checkpoint info keys get_variable_to_shape_map recall_at_k to_int64 accuracy expand_dims argmax callable vars _get_value _get_optimizer get_or_create_global_step minimize signature isinstance scale_dense adj_power get_split dataset Estimator cutoff partial scale_pointwise make_model_fn preprocess_image _make_scale make_input_fn scale_depthwise depth_multiplier evaluate get_or_create_global_step get_or_create_global_step get_or_create_global_step _make_train_op depth_multiplier partial add_argument make_model_fn ArgumentParser parse_args partial Estimator dataset_path get_split preprocess_image make_input_fn partial Estimator dataset_path get_split preprocess_image make_input_fn get_config train trainable_variables get_or_create_global_step minimize MomentumOptimizer get_collection set shape shape get minmax_quantization codebook_quantization _make_num_bits get_collection batch_size mnist_input_fn HParams format print dataset_path preprocess split get_or_create_global_step get_or_create_global_step minimum get_or_create_global_step make_dns_train_op MomentumOptimizer get_collection float32 identity sqrt cast add_n l2_pen scalar AdamOptimizer get_collection scale_posterior checkpoint_path load_checkpoint scale_prior print_summaries to_string get_variable_compression_summary format print get_variable_summary pac_bayes_bound_opt sum log cifar10_resnet_v2_generator target_sparsity dataset dataset model_size train_dir train_dir | wendazhou/nnet-compression-generalization | 4,087 |
wenhuchen/LogicNLG | ['text generation'] | ['Logical Natural Language Generation from Open-Domain Tables'] | GPT-distributed.py NLI_models.py APIs.py Transformer.py Model.py parse_programs.py parser.py DataLoader.py NLI.py GPT2-coarse-to-fine.py evaluate.py utils.py GPT2.py none array_to_exist row_select fuzzy_match most_freq inner is_ascii n_th GPTTableDataset2 BERTScorerDatabase NormalTableDatabase GPTTableDatabase BERTTableDatabase GPTTableCoarseFineDatabase2 Dataloader GPTTableCoarseFineDatabase linearize_table func_compute_bleu get_reference set_seed set_seed clean_str assemble_distribute set_seed DecoderLayer TableDecoder PositionwiseFeedForward PositionalEmbedding get_attn_key_pad_mask BERTRanker MultiHeadAttention get_subsequent_mask get_sinusoid_encoding_table Ranker BERTGen TableInfusing ScaledDotProductAttention get_non_pad_mask EncoderLayer parse_opt forward_pass GNN MHAtt TableEncoder SAEncoder MLP LayerNorm FFN GAEncoder GA CREncoder SA NumGNN FC get_closest Parser list2tuple tree_eq recursion normalize isnumber replace_useless postprocess recover ProgramNode replace intersect is_number dynamic_programming Node replace_number split_prog augment merge_strings program_eq is_ascii split evaluate convert_program ParseNLIDataset func get_model parse_opt top_k_top_p_filtering sample_sequence join index inner index value_counts str join columns format isinstance convert_tokens_to_ids tokenize range len append sentence_bleu get_reference split seed manual_seed_all manual_seed append sub convert_ids_to_tokens len convert_tokens_to_string startswith append sum tokenize enumerate array cos sin bool size eq type bool size type expand parse_args add_argument ArgumentParser model unsqueeze max list columns convert_tokens_to_ids append to head range cat format csv_path shuffle mean zip tokenize enumerate extend zeros read_csv len startswith normalize pop ProgramNode split_prog append append_child split strip recursion memory_str_len get_memory_str search delete_memory_str memory_num memory_str list done call delete_memory_num header_num append delete_memory_bool range memory_bool_len replace is_number rows Node conditional_add add_memory_str zip startswith add_memory_bool float append_result get_memory_num inc_row_counter enumerate items time isinstance header_str clone index memory_num_len any add_memory_num add_rows len append str any range replace get len extend any append abs replace_useless split append rstrip sub replace append append get split recover get_closest format extend set startswith zip append float append tuple append format split from_pretrained BERTRanker resize_token_embeddings add_tokens len format split_prog range len prob cpu_count Pool list map append to format close eval zip items join convert_program print convert distribute_parse write dict train len format parse cumsum sort size min clone scatter softmax tensor repeat isinstance | wenhuchen/LogicNLG | 4,088 |
wenkph/FGPGM | ['time series'] | ['Fast Gaussian Process Based Gradient Matching for Parameter Identification in Systems of Nonlinear ODEs'] | mainFiles/FitzHughNagumo/doFGPGM.py mainFiles/LotkaVolterra/getHyperparams.py Experiments/LotkaVolterra.py mainFiles/ProteinTransduction/getHyperparams.py mainFiles/LotkaVolterra/createExperiments.py Kernels/__init__.py mainFiles/FitzHughNagumo/createExperiments.py Optimizer/RandomDisplacement.py Experiments/__init__.py Experiments/ProteinTransduction.py mainFiles/LotkaVolterra/doFGPGM.py Experiment.py Kernel.py DensityCalculation.py FGPGM.py Kernels/Sigmoid.py Experiments/FitzHughNagumo.py mainFiles/ProteinTransduction/createExperiments.py Optimizer/__init__.py MCMCSampler.py Kernels/Matern52.py Kernels/RBF.py mainFiles/FitzHughNagumo/getHyperparams.py mainFiles/ProteinTransduction/doFGPGM.py __init__.py getLambdaStars calculateLogDensity getDs calculateFPostLog _getMultivariateDensityLog calculateGPPostLog getAs Experiment FGPGM Kernel MCMCWithBounds getValidProbability getProposal FHN LotkaVolterra ProteinTransduction Matern52 RBF Sigmoid RandomDisplacement arange solve dot append len append arange len append asarray arange eye asarray arange solve dot slogdet eye zeros prod len asarray arange zeros_like f solve dot slogdet zeros prod len ones_like asarray zeros_like size calculateFPostLog float calculateGPPostLog asarray multi_dot solve dot prod slogdet asarray exp arange zeros_like print size logTarget copy mean getValidProbability getProposal append range range randn | wenkph/FGPGM | 4,089 |
wesselb/gpar | ['gaussian processes'] | ['The Gaussian Process Autoregressive Regression Model (GPAR)'] | tests/test_model.py examples/paper/ml.py gpar/__init__.py tests/util.py examples/paper/synthetic.py docs/conf.py examples/paper/eeg.py examples/paper/exchange.py examples/paper/ml_data/evaluate_neural_net.py examples/paper/ml_data/grid_search.py examples/paper/air_temp.py tests/test_regression.py examples/paper/air_temp_process.py examples/paper/jura.py examples/model_sample.py gpar/model.py setup.py gpar/regression.py tests/__init__.py convert_index date_to_day inputs get_results fit_model build_model construct_model GPAR per_output last merge _construct_gpar _determine_indices _init_weights _vector_from_init _to_torch _model_generator GPARRegressor test_per_output test_conditioning test_last test_misc w test_obs test_per_output_caching test_merge test_update_inputs test_sample test_logpdf test_construct_model x test_inducing_points_uprank test_sample_and_predict test_features test_log_transform w test_determine_indices test_squishing_transform test_get_variables test_scale_tying test_vector_from_init test_logpdf test_logpdf_differentiable x test_condition_and_fit tensor approx all_different index int Sequential Adam add Dense float round Activation range compile Dropout fit build_model seed get_state permutation fit_model reshape to_categorical astype set_state load_data concat append sum range len should_yield set squeeze list range GPAR _model_generator range add_layer param approx array merge construct_model array GPAR _obs approx GPAR rand EQ copy GP nan logpdf sample Measure approx _update_inputs Obs GPAR concat f EQ copy GP nan Measure array approx concat mean add_layer sample Measure add_layer concat nan logpdf sample Measure all_different approx add_layer sample Measure all_different param f rand approx f_inv f approx f_inv randn array approx _vector_from_init get GPARRegressor approx _construct_gpar uprank condition vs GPARRegressor requires_grad backward sample get_vars GPARRegressor approx mean condition sample GPARRegressor predict all_different y approx p ones _transform_y _normalise_y copy mean stack condition linspace sample zeros _untransform_y _unnormalise_y std GPARRegressor fit stack linspace sample GPARRegressor fit sample get_variables GPARRegressor GPARRegressor zip | wesselb/gpar | 4,090 |
whai362/PSENet | ['optical character recognition', 'scene text detection', 'curved text detection'] | ['Shape Robust Text Detection with Progressive Scale Expansion Network', 'Shape Robust Text Detection with Progressive Scale Expansion Network'] | config/psenet/psenet_r50_synth.py utils/logger.py eval/ic15_rec/rrc_evaluation_funcs_1_1.py dataset/psenet/psenet_ctw.py config/psenet/psenet_r50_tt_finetune.py models/builder.py config/psenet/psenet_r50_ic15_736_finetune.py dataset/psenet/check_dataloader.py eval/tt/polygon_wrapper.py models/neck/__init__.py config/psenet/psenet_r50_ic15_736.py models/backbone/builder.py models/neck/fpn.py train.py models/loss/iou.py models/neck/builder.py models/utils/fuse_conv_bn.py models/loss/builder.py eval/tt/Deteval_rec.py dataset/psenet/psenet_ic15.py config/psenet/psenet_r50_tt.py models/__init__.py dataset/psenet/psenet_tt.py models/head/builder.py config/psenet/psenet_r50_ctw_finetune.py models/utils/__init__.py utils/result_format.py dataset/psenet/psenet_synth.py eval/ic15_rec/script.py utils/__init__.py config/psenet/psenet_r50_ctw.py eval/tt_rec/script.py test.py eval/ic15/rrc_evaluation_funcs_v2.py models/post_processing/pse/setup.py eval/ic15/rrc_evaluation_funcs_v1.py config/psenet/psenet_r50_ic15_1024.py models/pypse.py eval/msra/file_util.py eval/ctw/file_util.py eval/ic15_rec/script_self_adapt.py eval/tt/Deteval.py models/backbone/__init__.py eval/ctw/eval.py models/psenet.py models/backbone/resnet.py models/head/psenet_head.py models/utils/conv_bn_relu.py eval/msra/eval.py models/loss/ohem.py models/loss/emb_loss_v1.py eval/tt_rec/rrc_evaluation_funcs_1_1.py dataset/psenet/__init__.py utils/average_meter.py models/post_processing/pse/__init__.py eval/ic15/script_self_adapt.py models/head/__init__.py eval/ic15/rrc_evaluation_funcs.py eval/ic15/script.py models/loss/acc.py dataset/builder.py models/loss/dice_loss.py dataset/__init__.py __init__.py models/loss/__init__.py models/post_processing/__init__.py config/psenet/psenet_r50_ic15_1024_finetune.py main report_speed test main train adjust_learning_rate save_checkpoint build_data_loader to_rgb save get_img scale_aligned random_crop_padding shrink PSENET_CTW random_rotate random_scale scale_aligned_short dist random_horizontal_flip perimeter get_ann get_img PSENET_IC15 shrink scale_aligned random_crop_padding dist random_rotate scale_aligned_short random_scale random_horizontal_flip perimeter get_ann get_img scale_aligned random_crop_padding shrink random_rotate random_scale dist PSENET_Synth random_horizontal_flip update_word_mask perimeter get_ann get_img scale_aligned random_crop_padding shrink random_rotate random_scale scale_aligned_short read_mat_lindes dist get_vocabulary PSENET_TT random_horizontal_flip update_word_mask perimeter get_ann get_union get_gt get_pred get_intersection write_file_not_cover write_file read_file read_dir 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 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 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 eval write_result_as_txt validate_point_inside_bounds load_zip_file_keys validate_clockwise_points validate_lines_in_file decode_utf8 print_help get_tl_dict_values get_tl_dict_values_from_array 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 eval write_result_as_txt get_union get_gt get_pred get_intersection write_file_not_cover write_file read_file read_dir get_union gt_reading_mod many_to_many input_reading_mod detection_filtering sigma_calculation tau_calculation get_intersection one_to_one one_to_many get_union gt_reading_mod many_to_many input_reading_mod detection_filtering sigma_calculation tau_calculation get_intersection one_to_one one_to_many approx_area_of_intersection iou area area_of_intersection iod validate_point_inside_bounds load_zip_file_keys validate_clockwise_points validate_lines_in_file decode_utf8 print_help get_tl_dict_values get_tl_dict_values_from_array 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 build_model PSENet pse build_backbone Convkxk ResNet resnet50 Bottleneck load_url conv3x3 resnet18 BasicBlock resnet101 build_head PSENet_Head acc acc_single build_loss DiceLoss EmbLoss_v1 iou_single iou ohem_batch ohem_single build_neck FPN Conv_BN_ReLU fuse_module fuse_conv_bn AverageMeter Logger ResultFormat update print avg update ResultFormat result_path report_speed basename write_result print dict eval splitext type cuda flush enumerate config model fuse_module DataLoader cuda _cfg_dict list load_state_dict fromfile update format build_model build_data_loader test resume checkpoint flush load items print dumps dict isfile update time format model print backward AverageMeter zero_grad dict mean adjust_learning_rate item step flush enumerate epoch isinstance param_groups schedule lr float range len join save SGD train_cfg save_checkpoint basename hasattr Adam module range epoch pretrain splitext optimizer join parameters train makedirs dict reshape concatenate imwrite copyMakeBorder concatenate print makedirs BORDER_CONSTANT range len imread array open int asarray list_from_file replace append split range copy len warpAffine random getRotationMatrix2D range len int resize min array scale_aligned choice int min resize int copyMakeBorder min where append max range len range PyclipperOffset int JT_ROUND area min append AddPath array perimeter ET_CLOSEDPOLYGON Execute decode array sqrt reshape transpose extend unique loadmat T read_mat_lindes range enumerate len list range dict ascii_lowercase zip append ascii_letters digits len print append split append int asarray split area append sort walk replace read close open join makedirs close write open join makedirs close write open 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 group match replace argsort append get_tl_line_values split update default_evaluation_params_fn validate_data_fn writestr list items write dumps close dict print_help evaluate_method_fn ZipFile makedirs update default_evaluation_params_fn validate_data_fn print exit dict validate_clockwise_points float load_zip_file validate_lines_in_file compute_ap area list decode_utf8 append polygon_from_points range import_module get_intersection_over_union load_zip_file empty get_pred get_tl_line_values_from_file_contents float items namedtuple int8 rectangle_to_polygon Rectangle get_intersection zeros len append tuple enumerate makedirs read write_result_as_txt popen append float range len validate_point_inside_bounds validate_clockwise_points append float range len append int range len argsort get_tl_dict_values append range len include_in_dictionary_transcription reshape boxPoints pi float loadmat list concatenate Polygon transpose squeeze area map get_intersection enumerate split range where range where range where polygon zeros sum max minimum min max maximum zeros_like maximum where polygon zeros sum max zeros_like maximum where polygon zeros sum max sum zeros_like maximum where polygon zeros round max polygon_from_list tolist load_tt_gt load_pred dict connectedComponents get transpose copy put shape Queue zeros range len dict load_url ResNet load_state_dict load_url ResNet load_state_dict load_url ResNet load_state_dict join format urlretrieve write makedirs dict size float sum acc_single view size new_zeros mean range dict append float sum range len view size new_zeros mean iou_single range int sort min float sum append float range ohem_single dict Parameter eps reshape running_mean bias sqrt weight running_var named_children isinstance fuse_conv_bn Conv2d Identity | whai362/PSENet | 4,091 |
whuAdv/AdvPattern | ['person search', 'person re identification'] | ['advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns'] | pairtrain/pair_train.py pairtrain/single_eval.py baseline_dis/evaluate.py baseline_dis/train.py baseline_dis/evaluate_v2.py digital_adv/untarget.py pairtrain/eval.py digital_adv/target_market.py map_rank_quick_eval extract_feature similarity_matrix sort_similarity grid_result_eval test_predict train_predict market_result_eval extract_info map_rank_quick_eval extract_feature similarity_matrix sort_similarity evaluate test_predict extract_feature_MQ train_predict market_result_eval extract_info test_predict_MQ load_mix_data softmax_model_pretrain load_data softmax_pretrain_on_dataset evaluate pair_generator save_adv load_market single_evaluate attack eval_without_noise adv load evaluate pair_generator save_adv eucl_dist single_evaluate adv attack load_raw eval_without_noise avg_eucl_dist market_eval test_pair_predict test_rank_predict train_pair_predict tf_eucl_dist train_rank_predict grid_eval extract_imgs reid_data_prepare pair_model pair_generator pair_pretrain_on_dataset mix_data_prepare eucl_dist pair_tune dis_sigmoid common_lr single_directory_eval map_rank_quick_eval extract_feature sort_similarity similarity_matrix test_pair_predict test_predict market_result_eval int sorted append listdir split int join img_to_array load_img preprocess_input sorted squeeze append expand_dims listdir predict split set_session l2_normalize print float32 matmul placeholder shape ConfigProto Session run argsort similarity_matrix list print len savetxt append array range enumerate extract_feature sort_similarity Model savetxt array range len extract_feature sort_similarity Model array range len print map_rank_quick_eval write extract_info genfromtxt print write range enumerate array squeeze print append enumerate int img_to_array sorted load_img preprocess_input glob mean split append listdir array predict len extract_feature sort_similarity Model extract_feature_MQ range len market_result_eval test_predict test_predict_MQ list to_categorical shuffle append array range len list to_categorical shuffle append array range len layers set_session exists output fit_generator Model ResNet50 load_data flow save ImageDataGenerator ModelCheckpoint Session compile int softmax_model_pretrain int sorted len append listdir range split l2_normalize reduce_max resize_images ones multiply squeeze placeholder reduce_sum cast concatenate stack total_variation net tanh preprocess_input minimize Variable AdamOptimizer transform global_variables_initializer randint choice len load join sorted str format pair_generator save_adv load_market save rm_jpg load_raw listdir adv transform cast placeholder print copy single_evaluate zeros range len load sorted list concatenate set repeat randint listdir range eval_without_noise load list sort_similarity map_rank_quick_eval concatenate load_market extend set load_weights range predict len resize_images load_raw preprocess_input placeholder join int arange split append imread array len append Model load_model train_predict int join img_to_array load_img sorted append listdir split Model load_model train_predict Model load_model test_predict grid_result_eval test_pair_predict range Model load_model test_predict test_pair_predict dict dict list to_categorical astype shuffle copy array range layers load_model base_model Model get_weights Input set_weights pair_model EarlyStopping fit_generator ReduceLROnPlateau save compile reid_data_prepare int pair_tune pair_generator | whuAdv/AdvPattern | 4,092 |
widedeepnetworks/widedeepnetworks | ['gaussian processes'] | ['Gaussian Process Behaviour in Wide Deep Neural Networks'] | experiments/process_comparison_bias_2d.py experiments/defaults.py RecursiveKernel.py experiments/process_mmds.py experiments/process_comparison_yacht.py experiments/comparison_snelson.py experiments/shared.py experiments/comparison_yacht.py experiments/process_comparison_four.py layers_torch.py experiments/mmd_experiment.py experiments/process_snelson.py experiments/comparison_ML.py experiments/process_smooth_xor.py experiments/comparison_bias_2d.py experiments/process_mmds_all.py experiments/process_comparison_bias.py hmc_torch.py mmd.py ess_torch.py experiments/comparison_bias.py experiments/comparison_smooth_xor.py experiments/process_comparison_ML.py experiments/comparison_bias_four.py NormalTestModule test_ess ESS test_hmc HMC HAISACC GaussLinearStandardized ScaledRelu GaussLinear mmd test_mmd demo_deep_arcosine_kernel DeepArcCosine get_XY_gridpoints plot_mean_and_stds nn_experiments main gp_experiments get_grid get_plot_min_and_max_mean nn_experiments main reshape_and_plot gp_experiments get_plot_max_sqrt main nn_model_regression gp_experiments nn_experiments gp_experiments main nn_model_ml nn_experiments smooth_xor make_smooth_xor_data get_base_grid standardPlotLimits plot_smooth_xor_data_2d get_plot_min_and_max_mean get_grid_two_d nn_experiments plotPredictions main reshape_and_plot get_test_points gp_experiments get_plot_max_sqrt gpPriorSamples readCsvFile standardPlotLimits getTrainingHoldOutData nn_experiments plotPredictions main getRunGPModel getTestData getData main gp_experiments nn_experiments mmd_experiments process_mmd_experiment process_mmd_experiment_all split_array ResultsManager get_nn_model nn_model_regression xor_data_np baseline_log_density get_middel_nn_model draw_sample_from_nn_prior get_kernel get_intermediate_layers nrmse get_gp_model draw_from_gp_prior flatten solve from_numpy range RandomState mean NormalTestModule T Variable print inv dot parameters cov eye zeros step array ESS flatten HMC solve from_numpy range RandomState mean manual_seed NormalTestModule T time Variable print inv dot parameters cov eye zeros step array embed compute_K diag compute_K_symm seed RBF ones_like rvs errorbar mmd mean sqrt linspace eye zip figure zeros sum std range embed len test_two_dim test_one_dim embed T array float32 set_title plot set_xlabel set_xlim set_ylabel set_ylim get_gp_model predict_f ResultsManager nn_model_regression Variable draw_sample_from_nn_prior hidden_units shared_depth type get_nn_model tdtype get_XY_gridpoints update dump set_num_threads nn_experiments manual_seed gp_experiments to_dict open lower_lim points_per_dim linspace upper_lim array reshape imshow colorbar ceil max maximum ceil max maximum xor_data_np get_grid model pi flatten HMC log logsumexp MSELoss range RandomState size noise_variance zip time print tqdm parameters pow zeros step ESS len predict_density mean print load show RandomState Variable embed hidden_units numpy shared_depth type tdtype closure RandomState record_start_energy MSELoss parameters linspace HMC zeros model_constructor step range embed nn_model_ml subplots print sqrt standardPlotLimits plot set_xlim set_ylim optimize sqrt exp RandomState smooth_xor randn get_base_grid array smooth_xor plot make_smooth_xor_data get_base_grid text colorbar imshow scatter get_test_points array T ones_like linspace make_smooth_xor_data vstack append reader open text set_xlabel getTrainingHoldOutData set_ylabel getTestData append readCsvFile range linspace array GPR optimize getTrainingHoldOutData DeepArcCosine T plot standardPlotLimits compute_K_symm eye getTestData getTrainingHoldOutData getTestData predict_f set_random_seed getRunGPModel getTestData genfromtxt add_noise T permutation RandomState standardizeArray mean std nrmse baseline_log_density getData randn compute_K_symm flatten get_kernel open mmd savetxt get_nn_model range dump RandomState sqrt manual_seed type RBF multivariate_normal Variable set_num_threads print eye zeros tdtype len results_file_stub axhline open show str ylabel ylim savefig legend range errorbar mean sqrt zip xlim load xlabel loadtxt figure std embed len subplots embed results_file_stub axhline open show str valid_width_classes set_xlabel savefig legend range errorbar set_xlim mean sqrt zip load loadtxt text set_ylabel std set_ylim len mean sqrt square logpdf DeepArcCosine get_kernel GPR noise_variance range GaussLinearStandardized ScaledRelu weight_variance Sequential bias_variance get_intermediate_layers GaussLinearStandardized ScaledRelu weight_variance Sequential bias_variance get_intermediate_layers randn get_grid compute_K_symm dot get_kernel cholesky model update initialize acceptance_rate finalize array float32 | widedeepnetworks/widedeepnetworks | 4,093 |
williamSYSU/TextGAN-PyTorch | ['text generation'] | ['DGSAN: Discrete Generative Self-Adversarial Network'] | models/RelGAN_G.py instructor/oracle_data/sentigan_instructor.py visual/visual_human.py instructor/oracle_data/catgan_instructor.py models/LeakGAN_G.py metrics/clas_acc.py instructor/oracle_data/instructor.py instructor/real_data/cot_instructor.py instructor/oracle_data/leakgan_instructor.py models/MaliGAN_G.py utils/cat_data_loader.py config.py models/EvoGAN_G.py models/SentiGAN_G.py run/run_cot.py models/DPGAN_G.py models/DGSAN_G.py models/CoT_D.py utils/text_process.py instructor/real_data/dgsan_instructor.py metrics/basic.py run/run_dgsan.py models/CoT_G.py instructor/oracle_data/relgan_instructor.py utils/rollout.py models/SentiGAN_D.py run/run_seqgan.py visual/visual_metric.py main.py utils/data_utils.py models/MaliGAN_D.py models/CatGAN_D.py models/RelGAN_D.py instructor/oracle_data/evogan_instructor.py metrics/ppl.py instructor/real_data/sentigan_instructor.py models/LeakGAN_D.py models/SeqGAN_G.py instructor/real_data/dpgan_instructor.py metrics/nll.py instructor/oracle_data/dgsan_instructor.py instructor/real_data/evogan_instructor.py instructor/real_data/seqgan_instructor.py instructor/oracle_data/jsdgan_instructor.py models/Oracle.py models/SeqGAN_D.py metrics/bleu.py models/CatGAN_G.py models/discriminator.py run/run_catgan.py run/run_relgan.py instructor/real_data/relgan_instructor.py run/run_leakgan.py run/run_sentigan.py utils/helpers.py visual/visual_temp_compare.py utils/data_loader.py instructor/oracle_data/dpgan_instructor.py utils/visualization.py models/EvoGAN_D.py instructor/real_data/maligan_instructor.py instructor/oracle_data/seqgan_instructor.py visual/visual_temp_appendix.py run/run_dpgan.py instructor/oracle_data/cot_instructor.py utils/gan_loss.py instructor/real_data/jsdgan_instructor.py models/DPGAN_D.py instructor/oracle_data/maligan_instructor.py instructor/real_data/leakgan_instructor.py run/run_maligan.py models/generator.py models/relational_rnn_general.py instructor/real_data/instructor.py instructor/real_data/catgan_instructor.py run/run_jsdgan.py models/JSDGAN_G.py init_param program_config CatGANInstructor CoTInstructor DGSANInstructor DPGANInstructor EvoGANInstructor BasicInstructor JSDGANInstructor LeakGANInstructor MaliGANInstructor RelGANInstructor SentiGANInstructor SeqGANInstructor CatGANInstructor CoTInstructor DGSANInstructor DPGANInstructor EvoGANInstructor BasicInstructor JSDGANInstructor LeakGANInstructor MaliGANInstructor RelGANInstructor SentiGANInstructor SeqGANInstructor Metrics BLEU ACC NLL PPL CatGAN_C CatGAN_D CatGAN_G Cot_D CoT_G DGSAN_G GRUDiscriminator CNNDiscriminator CNNClassifier DPGAN_D DPGAN_G EvoGAN_D EvoGAN_G LSTMGenerator JSDGAN_G LeakGAN_D LeakGAN_G MaliGAN_D MaliGAN_G Oracle RelationalMemory RelGAN_D RelGAN_G SentiGAN_C SentiGAN_D SentiGAN_G SeqGAN_D SeqGAN_G GANDataset CatGenDataIter CatClasDataIter GANDataset DisDataIter GenDataIter clean_amazon_long_sentence create_specific_oracle mean _count mean_list create_many_oracle create_multi_oracle _save GANLoss create_oracle get_fixed_temperature Signal create_logger get_losses truncated_normal_ ROLLOUT extend_clas_train_data load_word_vec build_embedding_matrix init_dict load_dict tensor_to_tokens get_tokenlized write_tensor get_word_list padding_token process_cat_text combine_amazon_text text_process load_test_dict get_dict tokens_to_tensor write_tokens plt_data get_log_data get_log_data plt_x_y_data plt_data get_log_data plt_data get_log_data adv_g_step loss_type start_letter adv_epoch batch_size rollout_num tips gen_lr pre_log_step temperature vocab_size device log_file gen_adv_lr dataset head_size num_heads step_size str d_out_mean adv_log_step adv_d_epoch list dis_init eval_type devices set_device lambda_fd clip_norm d_step dis_embed_dim map model_type mu_type use_population inter_epoch gen_hidden_dim goal_size d_epoch use_all_real_fake evo_temp_step format eval_b_num padding_idx shuffle gen_init mem_slots freeze_dis dis_lr signal_file strftime lambda_fq samples_num join clas_pre_epoch freeze_clas num_rep gen_embed_dim max_seq_len temp_adpt makedirs k_label dis_hidden_dim extend n_parent run_model adv_d_step d_type mle_epoch split add_argument batch_size CUDA vocab_size save GenDataIter cuda gen_hidden_dim range state_dict format padding_idx cal_nll sample loader samples_num NLLLoss print gen_embed_dim max_seq_len Oracle batch_size CUDA localtime vocab_size GenDataIter save cuda strftime gen_hidden_dim range state_dict format padding_idx cal_nll mkdir sample loader samples_num NLLLoss gen_embed_dim max_seq_len print Oracle batch_size CUDA vocab_size GenDataIter save cuda gen_hidden_dim range state_dict format padding_idx cal_nll sample loader samples_num NLLLoss gen_embed_dim max_seq_len print Oracle print _save listdir isdir append round zip mean stdout setFormatter getLogger addHandler StreamHandler Formatter DEBUG setLevel INFO FileHandler batch_size CUDA vocab_size save GenDataIter cuda oracle_state_dict_path gen_hidden_dim state_dict format padding_idx cal_nll sample loader samples_num NLLLoss print gen_embed_dim max_seq_len Oracle sqrt exp log ones_like zeros_like mean Tanh ReLU bce_loss BCEWithLogitsLoss squeeze add_ copy_ shape normal_ list append list str start_letter padding_idx dict padding_token start_token list get_tokenlized get_word_list get_dict max len format print get_tokenlized get_word_list get_dict len format init_dict str format load_dict get_tokenlized get_word_list len append tolist append int padding_idx enumerate append enumerate int format readlines write shuffle close open len readlines format print readlines append len load_word2vec_format split asarray open load items format FloatTensor print load_word_vec random load_dict save exists savefig plot plot xticks arange concatenate | williamSYSU/TextGAN-PyTorch | 4,094 |
williamleif/socialsent | ['word embeddings'] | ['Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora'] | socialsent/representations/embedding.py socialsent/representations/__init__.py socialsent/historical/vocab.py socialsent/historical/explore_polarities.py socialsent/representations/representation_factory.py socialsent/evaluate_methods.py socialsent/polarity_induction_methods.py socialsent/historical/make_adj_lexicons.py socialsent/constants.py socialsent/representations/ppmigen.py socialsent/representations/cooccurgen.py socialsent/historical/make_freq_lexicons.py socialsent/reddit/subreddit_run.py socialsent/historical/synthetic_test.py socialsent/graph_construction.py socialsent/lexicons.py socialsent/util.py socialsent/representations/explicit.py example.py socialsent/representations/makelowdim.py socialsent/reddit/subredditgen.py setup.py socialsent/seeds.py socialsent/embedding_transformer.py socialsent/representations/matrix_serializer.py socialsent/representations/sequentialembedding.py make_directories get_model apply_embedding_transformation orthogonalize SimpleSGD Orthogonal OthogonalRegularizer DatasetMinibatchIterator print_polarities evaluate_overlap_methods evaluate ternary_metrics evaluate_twitter_methods evaluate_finance_methods optimal_tern_acc run_method evaluate_adj_methods evaluate_methods binary_metrics hyperparam_eval wordnet_similarity_matrix similarity_matrix transition_matrix make_inquirer_lexicon make_qwn_scores_lexicon make_qwn_lexicon make_bingliu_lexicon make_kuperman_scores_lexicon compare_lexicons make_140_scores_lexicon make_concreteness_lexicon load_lexicon make_twitter_scores_lexicon make_mpqa_lexicon make_all_lexicons make_finance_lexicon make_twitter_lexicon graph_propagate weighted_teleport_set label_propagate_probabilistic random_walk bootstrap teleport_set densify dist run_iterative _bootstrap_func pmi label_propagate_continuous adj_seeds hist_seeds turney_seeds twitter_seeds finance_seeds random_seeds load_pickle logged_loop NestedDict lines load_json_lines mkdir write_json rmkdir load_json Progbar lines_in_file sizeof_fmt write_pickle build_boot_timeseries plot_timeseries build_boot_zdictseries zscore trend_estimate build_dictseries build_timeseries get_boot_meanseries get_yearseries get_boot_meanseriess main slope build_boot_ztimeseries main worker main worker _sample_vec worker _sample_vec2 make_synthetic_data main _make_weight words_above_freq pos_words top_words pos_tags main word_gen worker COHAWordGen _process_context run GigaEmbedding Embedding SVDEmbedding Explicit PositiveExplicit run save_vocabulary load_matrix load_vocabulary make_ppmi_mat run create_representation SequentialEmbedding SequentialSVDEmbedding mkdir svd add_output add_input Graph Lambda add_shared_node Dense compile add_node vstack max values set_weights show list ylim load_lexicon get_weights DatasetMinibatchIterator range orthogonalize shuffle set sample xlim enumerate items print text min figure get_model seed hist_seeds evaluate print create_representation get_subembed GOOGLE_EMBEDDINGS set union run_method load_lexicon iw intersection keys write_pickle SVD_EMBEDDINGS hist_seeds evaluate print create_representation get_subembed union set run_method load_lexicon iw intersection COMMON_EMBEDDINGS keys seed hist_seeds intersection evaluate print create_representation get_subembed union set run_method COHA_EMBEDDINGS load_lexicon iw COHA_COUNTS normalize keys seed pos_words adj_seeds evaluate print create_representation get_subembed union set COUNTS run_method COHA_EMBEDDINGS load_lexicon iw intersection COMMON_EMBEDDINGS normalize keys get_subembed STOCK_COUNTS seed create_representation load_lexicon normalize finance_seeds union choice set COMMON_EMBEDDINGS float int evaluate print STOCK_EMBEDDINGS run_method iw len seed int evaluate print create_representation choice set keys run_method load_lexicon iw intersection twitter_seeds float TWITTER_EMBEDDINGS union write_pickle len print extend apply_embedding_transformation method items sorted format list print ENDC print format ternary_metrics binary_metrics cumsum append sum max len max list sorted min confusion_matrix repeat intersection append f1_score float sum array len f1_score int format print min confusion_matrix repeat array append zeros argmax max range enumerate len issparse T todense arccos fill_diagonal apply_along_axis pi dot clip fill_diagonal print from_iterable set zeros sum enumerate A similarity_matrix wordnet_similarity_matrix dot diag LEXICONS lines write_json split PROCESSED_LEXICONS float enumerate LEXICONS lines write_json PROCESSED_LEXICONS float split LEXICONS lines write_json PROCESSED_LEXICONS float split LEXICONS defaultdict lines write_json PROCESSED_LEXICONS float split LEXICONS lines PROCESSED_LEXICONS write_json split LEXICONS defaultdict lines write_json PROCESSED_LEXICONS split LEXICONS format lines write_json PROCESSED_LEXICONS encode LEXICONS readline lower write_json PROCESSED_LEXICONS open split percentile LEXICONS readline list items label_func write_json PROCESSED_LEXICONS open float values split LEXICONS lines PROCESSED_LEXICONS write_json split LEXICONS lines lower write_json PROCESSED_LEXICONS split load_json PROCESSED_LEXICONS combinations list print set keys make_bingliu_lexicon make_inquirer_lexicon make_mpqa_lexicon sum similarity_matrix iw enumerate wi iw m ci sum apply_embedding_transformation run_random_walk weighted_teleport_set transition_matrix iw random transition_matrix run_iterative iw zeros transition_matrix run_iterative iw sum T logged_loop similarity_matrix list print csr_matrix copy wi run_graph_propagate values dot update_seeds array range seed score_method choice list partial map mean Pool range sample list intersection makedirs rmtree exists makedirs update len max Progbar enumerate load_pickle sorted defaultdict list items POLARITIES append float keys enumerate len load_pickle list defaultdict POLARITIES keys mean append float std len load_pickle list POLARITIES mean append std values load_pickle list defaultdict POLARITIES mean append values enumerate load_pickle list defaultdict POLARITIES keys mean append std load_pickle defaultdict POLARITIES mean std load_pickle sorted defaultdict list items POLARITIES float enumerate len list defaultdict mean get_yearseries append std values arange len OLS add_constant fit show list YEARS plot xlabel map ylabel title figure show load_pickle list items T DATA print xlabel mpl_connect ylabel build_timeseries scatter figure zip append predict get str pos_words adj_seeds intersection print POLARITIES random create_representation get_subembed set COHA_EMBEDDINGS iw sleep union write_pickle bootstrap join put start Queue range hist_seeds difference top_words seed make_synthetic_data float _make_weight run_method print extend _sample_vec2 vstack iw append range seed represent print dirichlet repeat zeros sum enumerate len seed represent print csr_matrix isfinite log multinomial uniform vstack zeros sum max clip enumerate len str POS load_pickle pos_tags load_pickle format int FREQS load_pickle print lower split enumerate open format write_pickle token2id mkdir word_gen compactify filter_extremes run load_pickle format filter_tokens twitter_seeds main filter_extremes pop install _process_context Counter export_mat_from_dict append extend list range load get_subembed randomized_svd save iw m write_pickle install join sorted load_pickle print isfile data row tocoo col range sum max log len data make_ppmi_mat row col create_representation export_mat_eff wi power sum | williamleif/socialsent | 4,095 |
williamscott701/Embedding-LJST | ['word embeddings'] | ['Topic Modeling over Short Texts by Incorporating Word Embeddings'] | noembeds_btm.py archive/LDA_ELJST.py archive/LDA_ELJST_Old.py archive/ELJST_Train.py LDA_ETM.py noembeds_uni.py noedges.py archive/sentiment.py archive/LDA_Init.py nosampler_btm.py utils.py archive/LDA_ELJST_CC.py archive/old_utils.py ELJST_script_BTM.py nosampler_uni.py archive/edges.py ELJST_script_unigram.py save_document_image SentimentLDAGibbsSampler word_indices sampleFromDirichlet SkipGramVectorizer sampleFromCategorical save_document_image SentimentLDAGibbsSampler word_indices sampleFromDirichlet sampleFromCategorical get_edges_transformers get_tokenized_text parse getDF process_df loadGloveModel get_edges process_sampler process_sampler process_sampler process_sampler preprocess_with_nums convert_numbers kl_score kl_score_multi processReviews get_cosine get_cosine_multi get_hscore_multi preprocess coherence_score preprocess_lite extract_body print_if_mod get_hscore get_edges_per_doc log_multi_beta sample_index word_indices LdaSampler log_multi_beta sample_index word_indices LdaSampler log_multi_beta sample_index word_indices LdaSampler convert_numbers kl_score kl_score_multi processReviews get_cosine get_cosine_multi get_hscore_multi preprocess coherence_score preprocess_lite extract_body print_if_mod get_hscore SentimentAnalysis ones shape kron imsave sum int range combinations open parse preprocess print split open array len list fill_diagonal zip astype where intersection cosine_similarity bert_embedding array split dump print SentimentLDAGibbsSampler ones read_pickle _initialize_ run load list remove set keys open int num2words range len join format replace apply lower join lower replace apply join format replace apply lower get_feature_names arange dict CountVectorizer zip fit_transform len print str list replace bs find_all replace_with len kl_score outer zeros sum range close map outer choice append zeros sum Pool range enumerate enumerate xrange format | williamscott701/Embedding-LJST | 4,096 |
willspag/SeqGan | ['text generation'] | ['SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient'] | Oracle.py Dataloader.py Discriminator.py Discriminator_Dataloader.py SeqGAN.py Generator.py SmilesTokenizer DataLoader Discriminator Highway Convolutional_Bullshit Discriminator_DataLoader | willspag/SeqGan | 4,097 |
wilson1yan/rlpyt | ['deformable object manipulation'] | ['Learning to Manipulate Deformable Objects without Demonstrations'] | rlpyt/utils/logging/autoargs.py rlpyt/agents/dqn/atari/atari_catdqn_agent.py rlpyt/models/dqn/atari_catdqn_model.py rlpyt/experiments/scripts/dm_control/qpg/sac/launch/launch_dm_control_sac_pixels_cloth_two_hand.py rlpyt/experiments/scripts/atari/dqn/launch/pabti/launch_atari_r2d1_async_alt_chopper_command.py rlpyt/samplers/parallel/gpu/collectors.py rlpyt/distributions/base.py rlpyt/experiments/scripts/atari/dqn/launch/pabti/launch_atari_r2d1_long_4tr_seaquest.py rlpyt/experiments/scripts/atari/dqn/launch/got/launch_atari_r2d1_async_alt_seaquest.py rlpyt/experiments/scripts/atari/dqn/train/atari_dqn_gpu_noeval.py rlpyt/experiments/scripts/atari/pg/launch/launch_atari_ff_a2c_gpu_basic.py rlpyt/experiments/scripts/dm_control/qpg/sac/launch/launch_dm_control_sac_state_cloth_autoreg.py rlpyt/models/dqn/atari_dqn_model.py rlpyt/replays/frame.py rlpyt/experiments/scripts/atari/pg/launch/launch_atari_lstm_a2c_cpu.py rlpyt/experiments/scripts/dm_control/qpg/sac/old/launch_dm_control_sac_serial.py rlpyt/experiments/scripts/atari/dqn/launch/dgx/launch_atari_r2d1_async_alt_seaquest.py rlpyt/samplers/async_/serial_sampler.py rlpyt/agents/dqn/atari/atari_r2d1_agent.py rlpyt/experiments/scripts/atari/dqn/launch/pabti/launch_atari_dqn_gpu_basic.py rlpyt/experiments/scripts/atari/dqn/train/atari_dqn_gpu.py rlpyt/experiments/scripts/atari/pg/launch/got/launch_atari_ff_ppo_gpu_basic.py rlpyt/experiments/scripts/mujoco/launch/pabti/launch_mujoco_sac_serial.py rlpyt/experiments/scripts/mujoco/qpg/launch/launch_mujoco_sac_serial.py rlpyt/replays/sequence/prioritized.py rlpyt/experiments/scripts/atari/dqn/launch/pabti/launch_atari_dqn_gpu_noeval.py rlpyt/agents/qpg/sac_agent_v2.py rlpyt/experiments/scripts/atari/pg/train/atari_ff_a2c_gpu.py rlpyt/utils/quick_args.py examples/example_2.py rlpyt/experiments/configs/atari/dqn/atari_dqn.py rlpyt/experiments/scripts/atari/dqn/train/atari_r2d1_gpu.py rlpyt/agents/qpg/td3_agent.py rlpyt/experiments/scripts/dm_control/qpg/sac/train/dm_control_sac_generic.py rlpyt/agents/pg/base.py rlpyt/experiments/scripts/atari/dqn/launch/pabti/launch_atari_r2d1_async_alt_gravitar.py rlpyt/experiments/scripts/mujoco/qpg/launch/launch_mujoco_ddpg_cpu.py rlpyt/experiments/scripts/mujoco/qpg/launch/launch_mujoco_ddpg_serial.py rlpyt/experiments/scripts/mujoco/qpg/launch/got/launch_mujoco_sac_async_gpu.py rlpyt/experiments/scripts/atari/pg/launch/launch_atari_ff_ppo_gpu_basic.py rlpyt/experiments/scripts/dm_control/qpg/sac/launch/launch_dm_control_sac_state_clothv7.py rlpyt/replays/sum_tree.py rlpyt/samplers/parallel/cpu/collectors.py rlpyt/algos/base.py rlpyt/experiments/scripts/atari/pg/launch/pabti/launch_atari_ff_a2c_gpu_multi.py rlpyt/samplers/async_/base.py rlpyt/experiments/scripts/atari/dqn/launch/launch_atari_dqn_gpu_basic.py rlpyt/samplers/base.py rlpyt/algos/dqn/dqn.py rlpyt/experiments/scripts/atari/pg/train/atari_ff_ppo_gpu.py rlpyt/experiments/scripts/dm_control/qpg/sac/launch/launch_dm_control_sac_state_rope_script.py rlpyt/experiments/scripts/atari/dqn/launch/got/launch_atari_dqn_cpu_basic_2of2.py examples/example_6.py rlpyt/replays/n_step.py rlpyt/spaces/box.py rlpyt/experiments/scripts/atari/dqn/train/atari_dqn_async_gpu.py rlpyt/experiments/scripts/atari/dqn/launch/pabti/launch_atari_r2d1_long_4tr_asteroids.py rlpyt/samplers/async_/collectors.py rlpyt/experiments/scripts/atari/dqn/launch/pabti/launch_atari_ernbw_gpu_basic.py rlpyt/agents/pg/atari.py rlpyt/experiments/scripts/mujoco/pg/launch/launch_mujoco_ppo_serial.py rlpyt/utils/shmemarray.py rlpyt/experiments/scripts/mujoco/qpg/launch/pabti/launch_mujoco_ddpg_td3_sac_serial.py rlpyt/algos/dqn/cat_dqn.py rlpyt/algos/qpg/sac_v2.py setup.py rlpyt/agents/dqn/atari/atari_dqn_agent.py rlpyt/experiments/configs/atari/pg/atari_ff_ppo.py rlpyt/experiments/scripts/atari/dqn/launch/pabti/launch_atari_r2d1_async_gpu_qbert.py rlpyt/experiments/scripts/dm_control/qpg/sac/launch/launch_dm_control_sac_pixels_clothv8.py rlpyt/experiments/scripts/atari/dqn/launch/pabti/launch_atari_dqn_async_serial.py rlpyt/experiments/scripts/dm_control/qpg/sac/old/dm_control_sac_serial_v2.py rlpyt/experiments/scripts/mujoco/qpg/train/mujoco_td3_async_cpu.py rlpyt/samplers/parallel/cpu/sampler.py rlpyt/utils/misc.py examples/example_5.py rlpyt/experiments/scripts/atari/pg/launch/got/launch_atari_ff_a2c_gpu_multi.py rlpyt/experiments/scripts/atari/pg/train/atari_lstm_a2c_cpu_test.py rlpyt/experiments/scripts/mujoco/pg/train/mujoco_ppo_serial.py rlpyt/spaces/float_box.py rlpyt/experiments/scripts/atari/pg/train/atari_ff_a2c_cpu.py rlpyt/utils/collections.py rlpyt/experiments/scripts/atari/dqn/launch/launch_atari_catdqn_gpu_basic.py rlpyt/replays/sequence/n_step.py rlpyt/replays/non_sequence/prioritized.py rlpyt/utils/prog_bar.py rlpyt/distributions/epsilon_greedy.py rlpyt/experiments/scripts/atari/pg/train/atari_ff_a2c_cpu_test.py rlpyt/experiments/scripts/atari/dqn/launch/launch_atari_dpd_dqn_gpu_basic.py rlpyt/experiments/scripts/dm_control/qpg/sac/launch/launch_dm_control_sac_pixels_cloth_point.py rlpyt/algos/qpg/ddpg.py rlpyt/replays/non_sequence/frame.py rlpyt/samplers/parallel/gpu/alternating_sampler.py rlpyt/experiments/scripts/dm_control/qpg/sac/launch/launch_dm_control_sac_pixels_rope.py rlpyt/experiments/scripts/atari/pg/launch/got/launch_atari_lstm_ppo_gpu_basic.py rlpyt/utils/logging/context.py rlpyt/experiments/configs/atari/dqn/atari_r2d1.py rlpyt/experiments/configs/mujoco/pg/mujoco_ppo.py examples/example_7.py rlpyt/experiments/scripts/atari/dqn/launch/got/launch_atari_r2d1_async_gpu.py rlpyt/experiments/scripts/mujoco/pg/launch/launch_mujoco_a2c_cpu.py examples/atari_dqn_async_serial.py rlpyt/replays/base.py rlpyt/experiments/scripts/atari/dqn/launch/got/launch_atari_r2d1_async_alt_pong.py rlpyt/experiments/scripts/atari/dqn/launch/launch_atari_dqn_gpu.py random_policy.py rlpyt/experiments/scripts/atari/pg/launch/got/launch_atari_ff_a2c_gpu_basic.py rlpyt/experiments/configs/atari/pg/atari_ff_a2c.py rlpyt/experiments/scripts/dm_control/qpg/sac/launch/launch_dm_control_sac_pixels_rope_v1.py rlpyt/experiments/scripts/atari/dqn/launch/pabti/launch_atari_r2d1_long_sq_cc.py rlpyt/experiments/configs/mujoco/qpg/mujoco_td3.py examples/example_3.py rlpyt/experiments/scripts/atari/dqn/train/atari_dqn_async_cpu.py rlpyt/experiments/scripts/atari/pg/launch/got/launch_atari_ff_ppo_gpu.py rlpyt/experiments/scripts/mujoco/qpg/train/mujoco_ddpg_serial.py rlpyt/experiments/scripts/atari/pg/train/atari_lstm_a2c_gpu.py rlpyt/spaces/gym_wrapper.py rlpyt/experiments/scripts/atari/pg/launch/got/launch_atari_ff_a2c_gpu_low_lr.py rlpyt/experiments/scripts/dm_control/qpg/sac/train/dm_control_sac.py rlpyt/experiments/scripts/atari/dqn/launch/pabti/launch_atari_r2d1_async_alt_qbert.py rlpyt/utils/buffer.py rlpyt/experiments/scripts/atari/dqn/train/atari_r2d1_async_gpu.py rlpyt/experiments/scripts/atari/dqn/launch/pabti/launch_atari_dqn_async_gpu.py rlpyt/experiments/scripts/dm_control/qpg/sac/launch/launch_dm_control_sac_state_clothv8.py rlpyt/models/qpg/conv2d.py rlpyt/experiments/scripts/mujoco/qpg/launch/got/launch_mujoco_sac_serial.py rlpyt/experiments/scripts/mujoco/pg/train/mujoco_ff_a2c_cpu.py rlpyt/experiments/scripts/atari/pg/launch/got/launch_atari_ff_lstm_a2c_ppo_gpu.py rlpyt/algos/pg/a2c.py rlpyt/experiments/scripts/atari/pg/train/atari_lstm_a2c_cpu.py rlpyt/utils/logging/logger.py rlpyt/samplers/serial/collectors.py rlpyt/experiments/scripts/dm_control/qpg/sac/launch/launch_dm_control_sac_pixels_rope_two_hand.py rlpyt/experiments/scripts/atari/dqn/launch/launch_atari_r2d1_gpu_basic.py rlpyt/experiments/scripts/mujoco/pg/launch/pabti/launch_mujoco_ppo_serial.py rlpyt/algos/dqn/r2d1.py rlpyt/experiments/scripts/atari/dqn/launch/pabti/launch_atari_dqn_async_gpu_scale_pri.py rlpyt/experiments/configs/dm_control/qpg/sac/dm_control_sac.py rlpyt/agents/qpg/sac_agent_v2_generic.py rlpyt/utils/logging/tabulate.py max_q_eval_policy.py rlpyt/experiments/scripts/atari/dqn/launch/pabti/launch_atari_r2d1_long_4tr_chopper_command.py rlpyt/experiments/scripts/atari/pg/train/atari_lstm_ppo_gpu.py rlpyt/experiments/scripts/mujoco/pg/launch/launch_mujoco_ppo_gpu.py rlpyt/experiments/scripts/mujoco/qpg/launch/got/launch_mujoco_ddpg_async_serial.py rlpyt/runners/sync_rl.py rlpyt/agents/pg/gaussian.py rlpyt/experiments/scripts/atari/dqn/train/atari_dqn_async_serial.py rlpyt/experiments/scripts/mujoco/qpg/launch/got/launch_mujoco_ddpg_serial.py rlpyt/experiments/scripts/atari/dqn/train/atari_dqn_cpu.py rlpyt/utils/seed.py rlpyt/replays/sequence/uniform.py rlpyt/utils/array.py rlpyt/models/qpg/mlp.py rlpyt/experiments/scripts/mujoco/launch/pabti/launch_mujoco_ppo_ddpg_td3_sac_serial.py rlpyt/envs/atari/atari_env.py rlpyt/experiments/scripts/mujoco/qpg/train/mujoco_sac_serial.py rlpyt/algos/qpg/sac_v2_generic.py rlpyt/agents/qpg/sac_agent.py rlpyt/distributions/categorical.py rlpyt/models/preprocessor.py rlpyt/agents/dqn/atari/mixin.py rlpyt/experiments/scripts/dm_control/qpg/sac/launch/launch_dm_control_sac_pixels_cloth_sim.py rlpyt/samplers/serial/sampler.py rlpyt/replays/non_sequence/n_step.py rlpyt/agents/pg/categorical.py rlpyt/algos/pg/ppo.py rlpyt/models/pg/mujoco_ff_model.py rlpyt/experiments/scripts/atari/dqn/launch/launch_atari_ernbw_gpu_basic.py rlpyt/models/dqn/atari_r2d1_model.py rlpyt/experiments/scripts/atari/dqn/launch/got/launch_atari_r2d1_async_alt_amidar.py rlpyt/models/pg/atari_lstm_model.py rlpyt/runners/base.py rlpyt/experiments/scripts/atari/dqn/train/atari_dqn_serial.py rlpyt/agents/dqn/r2d1_agent.py sample_random.py rlpyt/replays/async_.py rlpyt/envs/base.py rlpyt/agents/qpg/sac_agent_autoreg_v2_generic.py rlpyt/utils/launching/affinity.py examples/example_6a.py examples/example_1.py rlpyt/experiments/scripts/mujoco/qpg/launch/launch_mujoco_ddpg_td3_sac_serial.py rlpyt/experiments/scripts/atari/dqn/launch/got/launch_atari_r2d1_long_4tr_gravitar.py rlpyt/samplers/async_/alternating_sampler.py rlpyt/experiments/scripts/atari/dqn/launch/pabti/launch_atari_dqn_serial.py rlpyt/agents/pg/mujoco.py rlpyt/utils/tensor.py rlpyt/experiments/scripts/atari/dqn/launch/got/launch_atari_r2d1_async_gpu_amidar.py rlpyt/experiments/scripts/atari/pg/launch/launch_atari_ff_a2c_gpu_multi.py rlpyt/distributions/gaussian.py rlpyt/utils/logging/console.py rlpyt/experiments/scripts/dm_control/qpg/sac/launch/launch_dm_control_sac_state_clothv0.py rlpyt/experiments/scripts/dm_control/qpg/sac/old/dm_control_sac_serial.py rlpyt/agents/dqn/dqn_agent.py rlpyt/agents/qpg/sac_agent_autoreg_v2.py rlpyt/utils/synchronize.py rlpyt/spaces/int_box.py rlpyt/experiments/scripts/mujoco/qpg/launch/got/launch_mujoco_td3_async_cpu.py rlpyt/experiments/scripts/atari/dqn/train/atari_r2d1_async_alt.py examples/atari_dqn_async_cpu.py rlpyt/models/pg/atari_ff_model.py rlpyt/experiments/configs/mujoco/pg/mujoco_a2c.py rlpyt/samplers/parallel/worker.py rlpyt/models/dqn/dueling.py rlpyt/utils/logging/__init__.py rlpyt/experiments/scripts/atari/dqn/launch/dgx/launch_atari_r2d1_async_gpu.py rlpyt/experiments/scripts/atari/pg/launch/got/launch_atari_lstm_a2c_gpu_basic.py rlpyt/distributions/discrete.py rlpyt/experiments/scripts/atari/dqn/train/atari_catdqn_gpu.py rlpyt/experiments/scripts/atari/pg/launch/launch_atari_lstm_ppo_gpu_basic.py rlpyt/experiments/scripts/dm_control/qpg/sac/launch/launch_dm_control_sac_state_cloth_corner.py rlpyt/experiments/configs/atari/pg/atari_lstm_ppo.py rlpyt/experiments/scripts/dm_control/qpg/sac/train/dm_control_sac_autoreg.py rlpyt/experiments/scripts/mujoco/pg/train/mujoco_ff_ppo_gpu.py rlpyt/experiments/scripts/mujoco/qpg/launch/launch_mujoco_td3_serial.py rlpyt/models/conv2d.py rlpyt/replays/sequence/frame.py rlpyt/utils/launching/variant.py rlpyt/experiments/scripts/dm_control/qpg/sac/old/launch_dm_control_sac_serial_v2.py rlpyt/experiments/scripts/atari/dqn/launch/pabti/launch_atari_dqn_cpu_basic.py rlpyt/experiments/scripts/dm_control/qpg/sac/launch/launch_dm_control_sac_state_cloth_script.py rlpyt/experiments/scripts/mujoco/pg/launch/pabti/launch_mujoco_ppo_cpu.py examples/atari_dqn_async_gpu.py rlpyt/agents/qpg/ddpg_agent.py rlpyt/experiments/scripts/atari/pg/train/atari_ff_a2c_gpu_multi.py rlpyt/experiments/scripts/atari/pg/launch/launch_atari_lstm_a2c_gpu.py simulate_policy.py rlpyt/experiments/scripts/mujoco/qpg/train/mujoco_sac_async_gpu.py rlpyt/samplers/parallel/gpu/sampler.py rlpyt/utils/launching/exp_launcher.py rlpyt/experiments/scripts/atari/pg/launch/launch_atari_lstm_a2c_gpu_basic.py rlpyt/experiments/scripts/dm_control/qpg/sac/launch/launch_dm_control_sac_state_cloth_sim.py rlpyt/models/utils.py rlpyt/experiments/scripts/atari/dqn/launch/pabti/launch_atari_dpd_dqn_gpu_basic.py rlpyt/spaces/composite.py rlpyt/algos/qpg/td3.py rlpyt/experiments/scripts/mujoco/qpg/train/mujoco_ddpg_cpu.py rlpyt/samplers/buffer.py rlpyt/experiments/scripts/atari/dqn/launch/got/launch_atari_r2d1_async_gpu_test.py rlpyt/experiments/scripts/atari/dqn/launch/launch_atari_dqn_cpu_basic.py rlpyt/samplers/async_/gpu_sampler.py rlpyt/agents/base.py examples/example_4.py rlpyt/experiments/scripts/atari/pg/launch/launch_atari_ff_a2c_cpu.py rlpyt/experiments/scripts/mujoco/qpg/launch/got/launch_mujoco_td3_serial.py rlpyt/experiments/scripts/atari/dqn/launch/pabti/launch_atari_dqn_async_cpu.py rlpyt/replays/non_sequence/uniform.py rlpyt/runners/minibatch_rl.py rlpyt/experiments/scripts/atari/dqn/launch/got/launch_atari_dqn_gpu_pong.py rlpyt/agents/dqn/catdqn_agent.py rlpyt/samplers/async_/cpu_sampler.py rlpyt/experiments/scripts/dm_control/qpg/sac/launch/launch_dm_control_sac_pixels_clothv0.py rlpyt/samplers/async_/action_server.py rlpyt/experiments/scripts/atari/dqn/launch/got/launch_atari_r2d1_async_alt.py rlpyt/envs/gym.py rlpyt/experiments/scripts/mujoco/pg/train/mujoco_ff_ppo_cpu.py rlpyt/experiments/scripts/atari/dqn/launch/pabti/launch_atari_r2d1_async_alt.py rlpyt/experiments/scripts/atari/dqn/launch/pabti/launch_atari_r2d1_long_4tr_gravitar.py rlpyt/experiments/scripts/atari/dqn/launch/pabti/launch_atari_r2d1_long_gt_ad.py rlpyt/experiments/configs/atari/pg/atari_lstm_a2c.py rlpyt/experiments/configs/atari/dqn/atari_dqn_debug.py rlpyt/experiments/configs/mujoco/qpg/mujoco_ddpg.py rlpyt/experiments/scripts/atari/dqn/launch/dgx/launch_atari_r2d1_async_alt.py rlpyt/models/pg/mujoco_lstm_model.py rlpyt/samplers/parallel/base.py rlpyt/algos/utils.py rlpyt/algos/qpg/sac.py rlpyt/experiments/configs/mujoco/qpg/mujoco_sac.py rlpyt/experiments/scripts/atari/dqn/launch/got/launch_atari_r2d1_async_alt_gravitar.py rlpyt/experiments/scripts/atari/dqn/launch/pabti/launch_atari_catdqn_gpu_basic.py rlpyt/agents/dqn/epsilon_greedy.py rlpyt/experiments/scripts/dm_control/qpg/sac/launch/launch_dm_control_sac_pixels_cloth_corner.py rlpyt/samplers/collections.py rlpyt/models/mlp.py rlpyt/runners/async_rl.py rlpyt/envs/dm_control_env.py rlpyt/samplers/collectors.py rlpyt/experiments/scripts/dm_control/qpg/sac/launch/launch_dm_control_sac_state_cloth_point.py rlpyt/experiments/scripts/atari/dqn/launch/got/launch_atari_dqn_cpu_basic_1of2.py rlpyt/experiments/scripts/mujoco/pg/launch/launch_mujoco_ppo_cpu.py rlpyt/experiments/scripts/mujoco/qpg/train/mujoco_td3_serial.py rlpyt/spaces/base.py rlpyt/algos/pg/base.py rlpyt/samplers/parallel/gpu/action_server.py rlpyt/experiments/scripts/mujoco/qpg/train/mujoco_ddpg_async_serial.py rlpyt/experiments/scripts/dm_control/qpg/sac/launch/launch_dm_control_sac_state_rope.py main simulate_policy cloth_point_random cloth_corner_random rope_v2_random worker main save_video build_and_train build_and_train build_and_train build_and_train build_and_train build_and_train build_and_train build_and_train build_and_train build_and_train RecurrentAgentMixin BaseAgent AlternatingRecurrentAgentMixin CatDqnAgent DqnAgent EpsilonGreedyAgentMixin R2d1AlternatingAgent R2d1Agent R2d1AgentBase AtariCatDqnAgent AtariDqnAgent AtariR2d1AlternatingAgent AtariR2d1Agent AtariMixin AlternatingAtariLstmAgent AtariLstmAgent AtariFfAgent AtariMixin AlternatingRecurrentCategoricalPgAgent RecurrentCategoricalPgAgent RecurrentCategoricalPgAgentBase CategoricalPgAgent RecurrentGaussianPgAgent RecurrentGaussianPgAgentBase GaussianPgAgent AlternatingRecurrentGaussianPgAgent MujocoLstmAgent MujocoFfAgent MujocoMixin AlternatingMujocoLstmAgent DdpgAgent SacAgent SacAgent SacAgent SacAgent SacAgent Td3Agent RlAlgorithm discount_return valid_from_done generalized_advantage_estimation discount_return_n_step CategoricalDQN DQN R2D1 A2C PolicyGradientAlgo PPO DDPG SAC SAC SAC TD3 Distribution Categorical DiscreteMixin EpsilonGreedy CategoricalEpsilonGreedy Gaussian Env convert_dm_control_to_rlpyt_space init_namedtuples DMControlEnv make GymEnvWrapper sometimes_info EnvInfoWrapper infill_info info_to_nt build_info_tuples AtariEnv AtariTrajInfo build_and_train build_and_train build_and_train build_and_train build_and_train build_and_train build_and_train build_and_train build_and_train build_and_train build_and_train build_and_train build_and_train build_and_train build_and_train build_and_train build_and_train build_and_train build_and_train build_and_train build_and_train build_and_train build_and_train build_and_train build_and_train build_and_train build_and_train build_and_train build_and_train build_and_train build_and_train build_and_train build_and_train build_and_train build_and_train build_and_train Conv2dHeadModel Conv2dModel MlpModel get_preprocessor strip_ddp_state_dict ScaleGrad update_state_dict conv2d_output_shape AtariCatDqnModel DistributionalHeadModel AtariDqnModel AtariR2d1Model DuelingHeadModel DistributionalDuelingHeadModel AtariFfModel AtariLstmModel MujocoFfModel MujocoLstmModel AutoregPiConvModel QofMuConvModel GumbelPiConvModel PiConvModel _filter_name MuMlpModel GumbelPiMlpModel PiMlpModel GumbelAutoregPiMlpModel QofMuMlpModel VMlpModel AutoregPiMlpModel AsyncReplayBufferMixin BaseReplayBuffer FrameBufferMixin BaseNStepReturnBuffer SumTree AsyncSumTree UniformReplayFrameBuffer AsyncPrioritizedReplayFrameBuffer AsyncUniformReplayFrameBuffer PrioritizedReplayFrameBuffer NStepFrameBuffer NStepReturnBuffer PrioritizedReplay AsyncPrioritizedReplayBuffer PrioritizedReplayBuffer AsyncUniformReplayBuffer UniformReplayBuffer UniformReplay AsyncUniformSequenceReplayFrameBuffer UniformSequenceReplayFrameBuffer SequenceNStepFrameBuffer PrioritizedSequenceReplayFrameBuffer AsyncPrioritizedSequenceReplayFrameBuffer SequenceNStepReturnBuffer AsyncPrioritizedSequenceReplayBuffer PrioritizedSequenceReplay PrioritizedSequenceReplayBuffer UniformSequenceReplay UniformSequenceReplayBuffer AsyncUniformSequenceReplayBuffer AsyncRl AsyncOptWorker AsyncRlEval run_async_sampler memory_copier AsyncRlBase run_async_sampler_eval BaseRunner MinibatchRlEval MinibatchRl MinibatchRlBase SyncRlMixin SyncWorkerEval SyncWorker SyncRlEval SyncWorkerMixin SyncRl BaseSampler build_samples_buffer get_example_outputs BatchSpec TrajInfo BaseCollector BaseEvalCollector DecorrelatingStartCollector AsyncNoOverlapAlternatingActionServer AsyncAlternatingActionServer AsyncActionServer AsyncNoOverlapAlternatingSampler AsyncAlternatingSampler AsyncAlternatingSamplerBase AsyncSamplerMixin AsyncParallelSamplerMixin DoubleBufferCollectorMixin DbCpuResetCollector DbCpuWaitResetCollector DbGpuResetCollector DbGpuWaitResetCollector AsyncCpuSampler AsyncGpuSampler AsyncGpuSamplerBase AsyncSerialSampler ParallelSamplerBase sampling_process initialize_worker CpuEvalCollector CpuResetCollector CpuWaitResetCollector CpuSampler NoOverlapAlternatingActionServer AlternatingActionServer ActionServer NoOverlapAlternatingSampler AlternatingSampler AlternatingSamplerBase GpuWaitResetCollector GpuResetCollector GpuEvalCollector build_step_buffer GpuSamplerBase GpuSampler SerialEvalCollector SerialSampler Space Box Composite FloatBox GymSpaceWrapper nt_to_dict dict_to_nt IntBox infer_leading_dims to_onehot from_onehot select_at_indexes valid_mean build_array buffer_from_example buffer_func buffer_to torchify_buffer numpify_buffer buffer_method np_mp_array get_leading_dims is_namedtuple namedarraytuple_like namedarraytuple tuple_itemgetter is_namedarraytuple_class is_namedarraytuple is_namedtuple_class AttrDict extract_sequences zeros empty iterate_mb_idxs ProgBarCounter save__init__args make_seed set_seed get_seed ShmemRawArray address_of_buffer NpShmemArray ShmemBufferWrapper get_random_tag find_port RWLock drain_queue batched_index_select restore_leading_dims infer_leading_dims to_onehot repeat from_onehot select_at_indexes valid_mean decode_affinity build_cpu_affinity make_affinity build_multigpu_affinity remove_run_slot get_hyperthread_offset affinity_from_code get_n_run_slots get_master_cpus prepend_run_slot quick_affinity_code get_n_socket build_async_affinity get_workers_cpus build_gpu_affinity encode_affinity build_affinities_gpu_1cpu_drive run_experiments log_num_launched launch_experiment log_exps_tree load_variant save_variant _cross_variants make_variants update_config arg inherit _get_prefix new_from_args get_all_parameters _t_or_f add_args prefix _get_info SimpleMessage tweakfun colorize type_hint tweakval tweak prefix_log tee_log collect_args mkdir_p query_yes_no Message log add_exp_param get_log_dir logger_context get_snapshot_gap enable_tabular remove_text_output _add_output get_snapshot_dir log_parameters get_snapshot_mode get_disable_prefix set_snapshot_gap save_itr_params log set_snapshot_dir tabular_prefix prefix set_disable_prefix pop_tabular_prefix push_prefix enable set_tf_summary_dir remove_tabular_output get_tf_summary_writer pop_prefix add_text_output hold_tabular_output get_tf_summary_dir MyEncoder get_log_tabular_only _remove_output stub_to_json log_parameters_lite set_snapshot_mode set_log_tabular_only add_tabular_output push_tabular_prefix disable TerminalTablePrinter record_tabular log_variant set_tf_summary_writer record_tabular_misc_stat disable_tabular dump_tabular _pipe_segment_with_colons _visible_width _pipe_line_with_colons _column_type _latex_line_begin_tabular _build_simple_row _strip_invisible _align_header _mediawiki_row_with_attrs _format_table _more_generic _isint _build_row _build_line _normalize_tabular_data _pad_row simple_separated_format _format _type tabulate _afterpoint _padboth _align_column _isnumber _padright _isconvertible _padleft load join n_rollouts format SacAgent initialize SerialSampler eval_mode print evaluate_agent snapshot_dir add_argument import_module load_state_dict ArgumentParser to_device parse_args randint rand zeros print step range mean reset append policy DMControlEnv imwrite save DMControlEnv count seed str append range update format concatenate astype close stack sample join norm zfill tqdm dict reset step makedirs Observations save_video stack enumerate vwrite AsyncCpuSampler make_affinity dict AsyncRlEval DQN AtariDqnAgent AsyncGpuSampler AsyncSerialSampler MinibatchRlEval SerialSampler SacAgent SAC AtariFfAgent A2C print Sampler MinibatchRl GpuParallelSampler AtariLstmAgent load_variant affinity_from_code GpuSampler update_config SyncRl range reversed len range reversed len dtype isinstance maximum Tensor type range ones_like cumsum clamp float type tuple tuple tuple tuple tuple list Box namedtuple isinstance keys namedarraytuple namedtuple get join list items isinstance namedtuple keys update items isinstance CategoricalDQN AtariCatDqnAgent pop CpuParallelSampler AsyncAlternatingSampler AtariR2d1AlternatingAgent R2D1 AtariR2d1Agent PPO str format get import_module init_namedtuples CpuSampler MujocoFfAgent DdpgAgent DDPG TD3 Td3Agent strip_ddp_state_dict load_state_dict items list index initialize obtain_samples log sample_ready acquire shutdown range release initialize obtain_samples evaluate_agent log sample_ready acquire shutdown range release append_samples samples_to_buffer value set_num_threads acquire log release join Process buffer_from_example value AgentSamples AgentSamplesBsv dict Manager start torchify_buffer EnvSamples Samples asarray set_num_threads AgentInputs _replace torchify_buffer reset sample EnvCls step Process set_seed set_num_threads cpu_affinity sleep log reset_if_needed wait put initialize_worker torch_threads cpus seed list collect_batch ctrl rank value collect_evaluation max_decorrelation_steps close CollectorCls start_envs start_agent eval_CollectorCls StepBuffer torchify_buffer isinstance is_namedtuple int reshape shape prod len zeros namedarraytuple_like asarray int itemsize c_char RawArray prod Tensor tuple ndarray isinstance Tensor tuple ndarray isinstance Tensor tuple ndarray isinstance tuple isinstance tuple isinstance tuple isinstance get namedtuple __module__ tuple_itemgetter property _fields type enumerate is_namedtuple is_namedtuple_class is_namedarraytuple_class is_namedarraytuple slice range arange shuffle empty zip enumerate len list setattr mro seed colorize print manual_seed int time sleep get isinstance from_address get_address ShmemBufferWrapper __init__ sizeof len int itemsize ShmemRawArray c_char prod get list append put TCPStore range view numel dtype scatter_ shape type long type argmax dtype type dim tuple isinstance list reshape len shape enumerate list expand shape unsqueeze range len device_count cpu_count min get_hyperthread_offset get_n_socket decode_affinity remove_run_slot cpu_count get decode_affinity int split dict int split list tuple extend get_master_cpus get_workers_cpus AttrDict max range build_cpu_affinity list tuple extend dict get_master_cpus get_workers_cpus append bool AttrDict max range enumerate tuple tuple AttrDict range makedirs join list print save_variant affinity_from_code prepend_run_slot Popen join launch_experiment log_exps_tree zip wait makedirs get_n_run_slots log_num_launched get_log_dir sleep range enumerate len _cross_variants deepcopy list join dict zip append items copy issubclass hasattr __init__ hasattr isinstance __init__ upper getargspec items list hasattr _get_prefix __init__ dict getattr zip _get_info ismethod append str makedirs print flush open join split Callable isinstance collect_args replace log items getargspec items list replace locate log __init__ dict collect_args lower getattr startswith zip __name__ lower write join strftime join set_snapshot_dir push_prefix remove_text_output print set_snapshot_mode set_log_tabular_only remove_tabular_output add_tabular_output dict pop_prefix add_text_output abspath get_log_dir getcwd join walk remove append open mkdir_p dirname remove close append join _add_output _remove_output append _add_output remove _remove_output pop remove system list values colorize write now strftime append append join join push_prefix push_tabular_prefix pop_tabular_prefix writerows log open list add DictWriter union close set writeheader nan keys flush pop DictReader items writerow dict print_tabular split join join get_snapshot_dir save items isinstance __module__ get_all_parameters dict any getattr mkdir_p dirname __name__ items isinstance __module__ dict __name__ pop items list stub_to_json obj b64decode dict args_data loads mkdir_p dirname kwargs dump hasattr stub_to_json mkdir_p dirname max min average nan record_tabular median std join conv hasattr isinstance _isint _strip_invisible _isnumber _isint _isnumber rfind isinstance list max map get max list hasattr map index _fields zip_longest names keys range values len get join list search map _normalize_tabular_data zip hasattr hasattr linebetweenrows datarow lineabove padding _build_line linebelow _pad_row linebelowheader _build_row append headerrow | wilson1yan/rlpyt | 4,098 |
winstonll/COPOD | ['outlier detection'] | ['COPOD: Copula-Based Outlier Detection'] | results/cod_example.py results/cod_arff.py results/cod_mat.py results/benchmark_time.py models/cod.py results/benchmark_mat.py results/benchmark_arff.py COPOD read_arff read_arff load asarray print ravel open | winstonll/COPOD | 4,099 |
Subsets and Splits
No saved queries yet
Save your SQL queries to embed, download, and access them later. Queries will appear here once saved.