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
|
|---|---|---|---|---|---|
taivu1998/ResNet-Regularization-Pruning | ['network pruning'] | ['How Not to Give a FLOP: Combining Regularization and Pruning for Efficient Inference'] | src/model.py flopsCount.py src/regularization.py src/soft_filter_pruning.py src/resnet.py main.py main cifar_resnet_flop cal_cifar_resnet_flop main parseArgs Net Cutout Mixup BasicBlockLarge PreActBottleneckLarge ResNet LambdaLayer ResNetLarge BottleneckLarge test conv3x3 ResNetSmall PreActBlockLarge BasicBlockSmall _weights_init Mask int range print format cifar_resnet_flop cal_cifar_resnet_flop add_argument ArgumentParser watch print getcwd parseArgs Trainer test Net init save fit weight kaiming_normal_ __name__ randn Variable ResNet print size net | taivu1998/ResNet-Regularization-Pruning | 3,800 |
takahashihiroshi/vae_iop | ['density estimation'] | ['Variational Autoencoder with Implicit Optimal Priors'] | models/bernoulli/__init__.py models/bernoulli/bernoulli_vae.py models/gaussian/gaussian_vae_iop.py models/gaussian/gaussian_vae.py models/utils.py models/__init__.py datasets.py models/gaussian/__init__.py main.py models/bernoulli/bernoulli_vae_iop.py load_omniglot load_histopathology load_mnist load_dataset load_one_hot load_freyfaces gaussian_kl_divergence standard_gaussian_nll from_numpy bernoulli_nll make_data_loader reparameterize to_numpy gaussian_nll BernoulliNetwork BernoulliVAE BernoulliNetwork BernoulliVAEIOP Discriminator GaussianNetwork GaussianVAE GaussianVAEIOP GaussianNetwork Discriminator seed reshape MNIST makedirs seed str T urlretrieve print hstack shuffle joinpath loadmat makedirs seed str urlretrieve print reshape extractall close joinpath open clip makedirs seed str urlretrieve print shuffle joinpath makedirs seed hstack shuffle cpu exp randn_like exp | takahashihiroshi/vae_iop | 3,801 |
taki0112/Batch_Instance_Normalization-Tensorflow | ['style transfer'] | ['Batch-Instance Normalization for Adaptively Style-Invariant Neural Networks'] | batch_instance_norm.py batch_instance_norm | taki0112/Batch_Instance_Normalization-Tensorflow | 3,802 |
taksau/GPS-Net | ['graph generation', 'scene graph generation'] | ['GPS-Net: Graph Property Sensing Network for Scene Graph Generation'] | gpsnet-detectron/lib/modeling_rel/sparse_targets_rel.py gpsnet-detectron/lib/core/test_rel.py gpsnet-detectron/lib/modeling_rel/rel_model_builder.py lib/get_dataset_counts.py gpsnet-detectron/lib/datasets_rel/dataset_catalog_rel.py gpsnet-detectron/lib/utils_rel/training_stats_rel.py gpsnet-detectron/lib/modeling_rel/draw_rectangles/setup.py gpsnet-detectron/lib/modeling_rel/fast_rcnn_heads.py gpsnet-detectron/lib/datasets_rel/json_dataset_rel.py gpsnet-detectron/tools/_init_paths.py lib/direction_aware_context.py lib/dataloaders/mscoco.py lib/dataloaders/image_transforms.py gpsnet-detectron/lib/modeling_rel/relpn_heads_mbatch.py lib/sparse_targets.py gpsnet-detectron/lib/core/test_engine_rel_mps.py gpsnet-detectron/lib/datasets_rel/ap_eval_rel.py gpsnet-detectron/lib/datasets_rel/pytorch_misc.py gpsnet-detectron/lib/modeling_rel/detector_builder.py gpsnet-detectron/lib/modeling_rel/rel_pyramid_module.py gpsnet-detectron/lib/modeling_rel/refine_obj_feats.py gpsnet-detectron/lib/modeling_rel/word_vecs.py gpsnet-detectron/lib/modeling_rel/relpn_heads.py lib/nps_loss.py gpsnet-detectron/lib/datasets_rel/task_evaluation_vg_and_vrd.py gpsnet-detectron/lib/modeling_rel/get_dataset_counts_rel.py gpsnet-detectron/lib/datasets_rel/task_evaluation_vg_and_vrd_k1.py gpsnet-detectron/tools/test_net_rel_mps.py gpsnet-detectron/tools/convert_vrd_anno_to_coco_format.py gpsnet-detectron/lib/modeling_rel/generate_rel_proposal_labels.py gpsnet-detectron/lib/modeling_rel/model_builder_rel_gpsnet.py gpsnet-detectron/lib/datasets_rel/roidb_rel.py gpsnet-detectron/lib/setup.py lib/dataloaders/visual_genome.py gpsnet-detectron/lib/utils_rel/boxes_rel.py gpsnet-detectron/lib/modeling_rel/model_builder_rel.py gpsnet-detectron/lib/roi_data_rel/fast_rcnn_rel.py gpsnet-detectron/lib/modeling_rel/reldn_heads.py gpsnet-detectron/lib/utils_rel/subprocess_rel.py gpsnet-detectron/lib/utils_rel/net_rel.py gpsnet-detectron/tools/rename_vrd_with_numbers.py lib/pytorch_misc.py lib/dataloaders/blob.py gpsnet-detectron/tools/train_net_step_rel_mps.py gpsnet-detectron/lib/datasets_rel/task_evaluation_sg.py gpsnet-detectron/lib/roi_data_rel/minibatch_rel.py gpsnet-detectron/lib/utils_rel/logging_rel.py gpsnet-detectron/lib/datasets_rel/task_evaluation_vg_and_vrd_enhance.py gpsnet-detectron/lib/core/config.py gpsnet-detectron/lib/modeling_rel/VGG16.py gpsnet-detectron/lib/roi_data_rel/loader_rel.py 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 get_inference_dataset get_roidb_and_dataset get_eval_functions run_inference get_metrics_gt_boxes get_metrics_det_boxes multi_gpu_test_net_on_dataset initialize_model_from_cfg test_net_on_dataset test_net _project_im_rois im_detect_rels im_get_det_rels _get_blobs _get_rois_blob _add_multilevel_rois_for_test prepare_mAP_dets ap_eval get_ap add_rel_proposals _merge_paired_boxes_into_roidb _merge_proposal_boxes_into_roidb _add_class_assignments _sort_proposals _add_prd_class_assignments JsonDatasetRel _filter_crowd_proposals add_proposals intersect_2d argsort_desc add_bbox_regression_targets extend_with_flipped_entries combined_roidb_for_training rank_for_training _compute_targets filter_for_training _compute_and_log_stats print_stats eval_rel_results _compute_pred_matches print_stats eval_rel_results _compute_pred_matches print_stats eval_rel_results _compute_pred_matches print_stats eval_rel_results _compute_pred_matches check_inference get_func Generalized_RCNN roi_2mlp_head_prd fast_rcnn_losses roi_Xconv1fc_head fast_rcnn_outputs roi_2mlp_head roi_Xconv1fc_gn_head GenerateRelProposalLabelsOp box_filter get_rel_counts_split intersect_2d get_rel_counts get_rel_counts_bg check_inference get_func Generalized_RCNN Generalized_RCNN get_ort_embeds get_func get_importance_factor check_inference Get_Atten_map_mc entity_losses_imp entity_losses Merge_OBJ_Feats Message_Passing4OBJ center_size mc_matmul GRU split_pos_neg_p_aware reldn_so_contrastive_losses split_pos_neg_spo_agnostic roi_2mlp_head_prd split_pos_neg_so_aware reldn_contrastive_losses union_mask reldn_losses reldn_p_contrastive_losses reldn_head single_scale_relpn_outputs single_scale_pairs_pn_outputs pairs_pruning_losses Pairs_Pruning generic_relpn_outputs rel_assignments co_nms_wrapper topk_batch_sg single_scale_relpn_outputs rel_samples rel_assignments_gt_boxes single_scale_pairs_pn_outputs pairs_pruning_losses enumerate_by_image Pairs_Pruning topk_batch generic_relpn_outputs rel_assignments diagonal_inds Rel_Model get_ort_embeds get_func check_inference importance_loss rel_pyramid_module FrequencyBias FrequencyBias_Fix FrequencyBias_Fix_bg VGG16_roi_conv5_head VGG16_roi_conv5_head_prd VGG16_conv_body reporthook load_word_vectors obj_edge_vectors _add_rel_multilevel_rois _sample_pairs add_rel_blobs collate_minibatch MinibatchSampler BatchSampler cal_minibatch_ratio pad_image_data RoiDataLoader get_minibatch _get_image_blob get_minibatch_blob_names add_relpn_blobs y1y2x1x2_to_x1y1x2y2 get_box_feature boxes_intersect get_pair_feature get_spt_features rois_union boxes_union rois_intersect log_stats SmoothedValue send_email log_json_stats setup_logging load_ckpt_rel update_learning_rate_rel update_learning_rate_att process_in_parallel log_subprocess_output TrainingStats box_transform convert_anno process_vrd_split parse_args main parse_args save_ckpt add_path Get_Atten_map_mc mc_matmul LayerNorm Direction_Aware_MP box_filter get_counts_new get_counts node_priority_sensitive_loss transpose_packed_sequence_inds arange Flattener intersect_2d get_ranking enumerate_imsize const_row to_variable pairwise batch_map diagonal_inds right_shift_packed_sequence_inds to_onehot gather_nd argsort_desc optimistic_restore cache np_to_variable random_choose clip_grad_norm update_lr save_net batch_index_iterator de_chunkize load_net print_para accuracy nonintersecting_2d_inds enumerate_by_image unravel_index FrequencyBias FrequencyBias_New random_crop Grayscale Contrast Brightness SquarePad RandomOrder Sharpness Hue CocoDataLoader coco_collate CocoDetection VGDataLoader load_image_filenames VG load_graphs assertion_checks vg_collate load_info normal constant LOAD_IMAGENET_PRETRAINED_WEIGHTS immutable set uniform GroupNorm _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 update im_detect_rels get_roidb_and_dataset dict eval eval_rel_results imread enumerate len update im_detect_rels get_roidb_and_dataset dict eval eval_rel_results imread enumerate len result_getter get_eval_functions toc format info average_time tic JsonDatasetRel eval_rel_results do_vis get_roidb Timer multi_gpu_test_net_on_dataset do_special do_val test_net len join use_gt_boxes save_object format use_gt_labels load_ckpt process_in_parallel get_runtime_dir get_py_bin_ext load_detectron do_vis do_special output_dir info abspath do_val test_net_file use_gt_boxes get_roidb_and_dataset tuple abspath do_val str save_object defaultdict use_gt_labels do_vis imread sum update dump format im_detect_rels average_time timedelta info initialize_model_from_cfg enumerate join dict len load load_ckpt_rel load_detectron_weight load_ckpt Generalized_RCNN load_detectron eval DataParallel info cuda JsonDatasetRel get_roidb len toc defaultdict MAX_SIZE im_get_det_rels tic SCALE isinstance model squeeze _get_blobs dot dict mean unique _add_multilevel_rois_for_test numpy array PYTORCH_VERSION_LESS_THAN_040 _project_im_rois hstack zeros float astype ROI_MAX_LEVEL add_multilevel_roi_blobs map_rois_to_fpn_levels ROI_MIN_LEVEL _get_rois_blob get_image_blob concatenate tqdm boxes_union range len concatenate size maximum sum range minimum eps cumsum logical_and astype maximum get_ap argsort any zeros float argmax max range len _merge_paired_boxes_into_roidb concatenate _add_prd_class_assignments repeat tile unique append enumerate minimum max dtype arange csr_matrix astype zeros argmax bbox_overlaps enumerate max argmax toarray _merge_proposal_boxes_into_roidb _add_class_assignments _filter_crowd_proposals append range len dtype toarray csr_matrix astype bbox_overlaps zeros argmax max append enumerate iou toarray csr_matrix xyxy_to_xywh len max argmax toarray argsort all string_types add_bbox_regression_targets isinstance rank_for_training extend filter_for_training info _compute_and_log_stats len items list extend copy append format info len ASPECT_LO argsort ASPECT_HI info append ASPECT_CROPPING float array _compute_targets astype bbox_transform_inv BBOX_REG_WEIGHTS zeros argmax bbox_overlaps format arange debug classes rjust zeros sum max enumerate len reduce ap_eval _compute_pred_matches open list transpose append sum range update format readlines hstack union1d set mean info float enumerate items prepare_mAP_dets print tqdm argsort dict zeros print_stats len print items list keys int concatenate intersect_2d reshape astype any zip append boxes_union max concatenate unique empty join import_module split smooth_l1_loss type_as mean get_device cuda cross_entropy y1y2x1x2_to_x1y1x2y2 items list len keys USE_OVLP_FILTER zeros array values enumerate y1y2x1x2_to_x1y1x2y2 items list len keys USE_OVLP_FILTER zeros array values enumerate ones_like fill_diagonal where column_stack y1y2x1x2_to_x1y1x2y2 items list len keys any vstack USE_OVLP_FILTER append zeros array values enumerate repeat minimum maximum numpy sum log ndarray isinstance type_as mean get_device cuda cross_entropy exp log_softmax squeeze type_as mean get_device cuda append size mm range type_as mean get_device cuda cross_entropy split_pos_neg_spo_agnostic softmax margin_ranking_loss margin_ranking_loss split_pos_neg_so_aware softmax margin_ranking_loss split_pos_neg_p_aware softmax min cuda get_device max range cat min USE_SPO_AGNOSTIC_COMPENSATION cuda get_device unique max range cat min USE_SPO_AGNOSTIC_COMPENSATION cuda get_device unique numpy max range cat where bbox_overlaps argmax round max column_stack RELS_PER_IMG_REFINE FG_REL_FRACTION USE_BG ones append sum concatenate choice stack enumerate int min eye zeros array binary_cross_entropy Variable squeeze mean get_device float cuda int enumerate arange minimum int FG_REL_SIZE_PER_IM USE_BG concatenate FG_REL_FRACTION min choice pad bbox_overlaps numpy max append enumerate int ones_like FG_REL_SIZE_PER_IM USE_BG concatenate FG_REL_FRACTION min where choice enumerate_by_image stack append argmax range len int concatenate ravel unique co_nms expand_dims numpy max append enumerate int concatenate append max enumerate int concatenate append expand_dims numpy max enumerate data int exp fill_ Variable log_softmax squeeze min log mean get_device cuda sum max range get format print normal_ load_word_vectors split append Tensor sum enumerate len decode save open str list basename view append range format isfile binary_type join isinstance print makedirs extend tqdm split len items list concatenate _add_rel_multilevel_rois _sample_pairs append enumerate NODE_SAMPLE_SIZE FG_REL_SIZE_PER_IM FG_REL_FRACTION USE_BG ones rois_union append size hstack astype choice USE_SPATIAL_FEAT unique minimum int get_spt_features dict int32 zeros USE_FREQ_BIAS array ROI_MAX_LEVEL _distribute_rois_over_fpn_levels ROI_MIN_LEVEL int IMS_PER_BATCH min ceil empty range len IMS_PER_BATCH default_collate append pad_image_data range len get_max_shape zeros append shape RETINANET_ON RPN_ON RPN_ON add_fast_rcnn_blobs add_relpn_blobs _get_image_blob RETINANET_ON add_rpn_blobs enumerate im_list_to_blob prep_im_for_blob MAX_SIZE PIXEL_MEANS append randint imread range len get_box_feature boxes_union get_pair_feature hstack bbox_transform_inv minimum maximum minimum maximum minimum maximum minimum maximum print format dumps print hasattr sendmail SMTP MIMEText as_string basicConfig getLogger _get_lr_change_ratio param_groups BACKBONE_LR_SCALAR _CorrectMomentum info enumerate _get_lr_change_ratio param_groups BACKBONE_LR_SCALAR _CorrectMomentum info enumerate load_state_dict log_subprocess_output Popen open str list map device_count append range get format array_split NUM_GPUS close copy info enumerate load join isinstance PIPE split join wait close info int list box_transform items print tuple size set dict add tqdm append enumerate len items sorted format list print tuple convert copyfile tqdm set add mkdir save listdir len add_argument ArgumentParser join format state_dict isinstance no_save DataParallel save info module makedirs NUM_THREADS SGD assert_and_infer_cfg load_detectron use_tfboard str basename Adam map device_count tic load_state_dict iter parse_args set_cfgs save_ckpt DATASETS WARM_UP_ITERS average_time NUM_GPUS info IterTic toc load_detectron_weight requires_grad combined_roidb_for_training NUM_CLASSES load_optimizer_state_dict empty_cache step STEPS GAMMA zero_grad DataLoader DataParallel LogIterStats load_ckpt_rel list append update_learning_rate_rel PROPOSAL_FILES get_run_name IMS_PER_BATCH maskRCNN resume WARM_UP_FACTOR optimizer RoiDataLoader load_ckpt BASE_LR train IterToc warning dataset cuda defaultdict exp cfg_from_file len exit UpdateIterStats get_metrics_gt_boxes run_name next range cfg_from_list load Generalized_RCNN print num_workers named_parameters add_scalar iter_size batch_size CUDA MAX_ITER start_step BatchSampler disp_interval SUBTYPE SummaryWriter cfg_file format RPN_COLLECT_SCALE lr int items backward TrainingStats WARM_UP_METHOD lr_decay_gamma get_output_dir makedirs insert copy any zip zeros range len copy zip zeros range len int sum exp Variable log_softmax squeeze clamp log pow cuda get_device zeros numpy max range items join format print size set copy_ keys state_dict next tee size topk squeeze long size long arange fill_ items list File create_dataset items list asarray format print size File from_numpy copy_ range format print size f append batch_index_iterator Variable cuda LongTensor is_available join sorted format items named_parameters append topk size t eq mul_ expand_as append sum max ones diag where column_stack Variable type cuda size dim range clone numpy size long int enumerate append clone size min contiguous choice get_device cuda concatenate cumsum copy append range len append range zip items norm format sorted print size mul_ float print param_groups format int size min crop astype int32 randint max column_stack append reduce Blob tuple size join format append exists enumerate File astype len append zeros bbox_overlaps range column_stack load sorted open append reduce Blob | taksau/GPS-Net | 3,803 |
talwagner/efficient_kde | ['density estimation'] | ['Space and Time Efficient Kernel Density Estimation in High Dimensions'] | kde.py laplacian_kernel FastLaplacianKDE LaplaceLSH kde BinningLaplaceLSH | talwagner/efficient_kde | 3,804 |
tamirdennis/Tracking_Project | ['multiple object tracking'] | ['Simple Online and Realtime Tracking'] | tracker.py metric.py detection.py detect_and_track.py fl_detector.py compare_hists_algos_tests.py track.py sort.py ReID_Model.py chi2_distance BBoxDetection CentroidDetection Detection parse_args DetectorAPI centroid_distance Metric iou build_layers process_image get_augmented_image_list get_first_blocks_list my_plot_model generate get_last_blocks_list eucl_dist_output_shape get_labels_proc_images_dict get_all_possible_equal_pairs_indexes euclidean_distance get_pair_indexes_from_dict get_siamese_model get_all_possible_unequal_pairs_indexes parse_args KalmanCentroidTrack Track KalmanBBoxTrack ParticleTrack TrackStatus Tracker sum add_argument ArgumentParser minimum maximum LinearContrast CoarseDropout extend AdditiveGaussianNoise augment_images int list get_augmented_image_list process_image extend shuffle append imread listdir values enumerate combinations list extend keys range len combinations list product extend keys range len len shuffle get_all_possible_equal_pairs_indexes append range get_all_possible_unequal_pairs_indexes Conv2D BatchNormalization append ReLU plot_model sum square build_layers model l2 Lambda Sequential get_last_blocks_list add Model L1_layer Input zeros rand load_weights get_siamese_model | tamirdennis/Tracking_Project | 3,805 |
tango4j/Auto-Tuning-Spectral-Clustering | ['speaker diarization'] | ['Auto-Tuning Spectral Clustering for Speaker Diarization Using Normalized Maximum Eigengap'] | spectral_opt.py sc_utils/make_rttm.py sc_utils/affinity_score.py sc_utils/modules.py modules.py sc_utils/common.py segRead ftm read_txt unison_shuffled_copies makeDict unison_numpy_shuffled bashGet fisherSpkCH batchDiv getGPUbatchSize readFeat seqLen unison_shuffled_copies_three write_txt dictClean_Pickle loadPickle timeStamped noremDiv nanCheck loadFisherFeatList cprint savePickle makeTxtBash kaldiFeatLoader rsc dictConvert _set_diag estimate_num_of_spkrs isFullyConnected eig_decompose get_kneighbors_conn getLaplacian gc_thres_min_gc get_X_conn_from_dist kaldi_style_lable_writer read_embd_seg_info spectral_embedding getSegmentDict_kaldi getLamdaGaplist scp2dict SparseSpectralClustering _graph_is_connected GraphSpectralClusteringClass nps _graph_connected_component checkOutput spectral_clustering write_txt segment_to_line_dict save_npy get_embed_dict spk2utt2dict min_var read_txt scp2dict background_command_waiter compute_idct_matrix write_matrix_ascii send_mail read_matrix_ascii force_symlink get_command_stdout NullstrToNoneAction read_kaldi_matrix compute_lifter_coeffs get_feat_dim str_to_bool StrToBoolAction execute_command get_number_of_leaves_from_model check_if_cuda_compiled get_feat_dim_from_scp read_key write_idct_matrix get_number_of_leaves_from_tree write_kaldi_matrix wait_for_background_commands get_ivector_dim smart_open background_command get_number_of_jobs get_ivector_extractor_id read_mat_ark main get_args segRead ftm read_txt unison_shuffled_copies makeDict unison_numpy_shuffled bashGet fisherSpkCH batchDiv getGPUbatchSize readFeat seqLen unison_shuffled_copies_three write_txt dictClean_Pickle loadPickle timeStamped noremDiv nanCheck loadFisherFeatList cprint savePickle makeTxtBash kaldiFeatLoader rsc dictConvert print communicate decode Popen split update list keys split items list dictConvert print time permutation len permutation len shuffle noremDiv int print any close open split segRead int print append glob print count_nonzero bashGet check_random_state spectral_embedding labels_ discretize fit check_random_state print _deterministic_vector_sign_flip check_symmetric _set_diag warn uniform csgraph_laplacian eigsh todia size tocsr tocoo argsort zeros_like enumerate abs sum diag eigh append float range len sort getLamdaGaplist eig_decompose argmax getLaplacian int float embedding_scp read_vec_flt_scp open append nps split connected_components isspmatrix issparse tocsr ravel logical_or fill zeros sum range get_kneighbors_conn T print isFullyConnected get_X_conn_from_dist enumerate open print replace strip append segment_file_input_path open open strip read_txt append read_vec_flt_scp T ones inv matmul flatten cov append zeros range enumerate len items list format write_txt save append format Popen communicate Popen communicate Popen format warning Popen returncode join enumerate start Thread Popen interrupt_main format communicate error returncode warning int format get_command_stdout split int format get_command_stdout split int strip int format get_command_stdout format get_command_stdout int format get_command_stdout int format get_command_stdout range len join format print open enumerate len read readline error close open append split read strip read_matrix_ascii read_key open symlink float range pi sin cos pi sqrt compute_lifter_coeffs float range append write_kaldi_matrix compute_idct_matrix range parse_args add_argument ArgumentParser str join sorted get_args len append float range split set_trace | tango4j/Auto-Tuning-Spectral-Clustering | 3,806 |
tangxianfeng/STDN | ['traffic prediction'] | ['Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction'] | main.py models.py attention.py file_loader.py SimpleAttention Attention file_loader eval_lstm main eval_together CustomStopper models baselines mean sqrt abs square mean sqrt abs square eval_lstm models format threshold print sample_stdn strftime shape file_loader model_name save stdn float predict fit | tangxianfeng/STDN | 3,807 |
tankche1/Semantic-Feature-Augmentation-in-Few-shot-Learning | ['one shot learning'] | ['Multi-level Semantic Feature Augmentation for One-shot Learning'] | SVM.py classification.py datasets/oneShotdataset.py option.py datasets/miniImageEmbedding.py train_model ClassificationNetwork Options EmbeddingNetwork Evaluate ClassificationNetwork miniImagenetEmbeddingDataset miniImagenetOneshotDataset model zero_grad save max cuda str view load_state_dict range state_dict tensorname format size enumerate deepcopy time join criterion backward print Variable tqdm cpu train step time list format print squeeze SVC predict ravel tqdm cpu train numpy array range __getitem__ fit | tankche1/Semantic-Feature-Augmentation-in-Few-shot-Learning | 3,808 |
tanlab/ConvolutionMedicalNer | ['time series'] | ['Improving Clinical Outcome Predictions Using Convolution over Medical Entities with Multimodal Learning'] | preprocess.py pattern_repl split_heading clean_text preprocess_mimic find_end getSentences sub find_end join word_tokenize split_heading clean_text sent_tokenize end strip start finditer len append start search | tanlab/ConvolutionMedicalNer | 3,809 |
tanmay1618/text_to_sql_bert | ['semantic parsing'] | ['A Comprehensive Exploration on WikiSQL with Table-Aware Word Contextualization'] | bert_encoder.py tokenization_utils.py modeling_bert.py configuration_utils.py configuration_bert.py tokenization_bert.py BertConfig PretrainedConfig BertPreTrainingHeads BertForQuestionAnswering BertEncoder BertSelfAttention BertForMaskedLM BertOnlyMLMHead BertOnlyNSPHead BertEmbeddings BertOutput BertPredictionHeadTransform BertAttention BertPooler gelu BertPreTrainedModel BertForMultipleChoice BertLayer BertForTokenClassification BertModel BertForNextSentencePrediction BertIntermediate BertForSequenceClassification BertForPreTraining swish BertLMPredictionHead load_tf_weights_in_bert BertSelfOutput BasicTokenizer WordpieceTokenizer load_vocab whitespace_tokenize _is_whitespace _is_control BertTokenizer _is_punctuation PreTrainedTokenizer load_variable join int format info zip transpose fullmatch from_numpy any getattr list_variables abspath append split OrderedDict rstrip enumerate strip split category category startswith startswith category ord | tanmay1618/text_to_sql_bert | 3,810 |
tantara/PeerNets-pytorch | ['autonomous driving'] | ['PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks'] | src/attack.py src/cifar/train.py src/cifar/dataset.py src/utee/universal_perturbation.py src/cifar/model.py src/utee/selector.py src/eval.py src/mnist/model.py src/mnist/train.py src/mnist/dataset.py src/utee/misc.py src/utee/peer_regularization.py src/utee/pytorch_classifiers.py src/utee/gat_conv.py get10 get100 resnet110 resnet20 cifar10 ResNet LambdaLayer resnet44 cifar100 resnet56 resnet32 make_layers _weights_init BasicBlock get LeNet5 mnist GATConv auto_select_gpu load_pickle str2img attack_model eval_model expand_user md5 model_snapshot dump_pickle Logger load_state_dict ensure_dir img2str generate_noise PeerRegularization PyTorchClassifier mnist cifar100 select cifar10 projection UniversalPerturbation pop join format setdefault print DataLoader CIFAR10 append expanduser pop join format setdefault print DataLoader append expanduser CIFAR100 weight kaiming_normal enumerate Conv2d load resnet32 load_state_dict resnet110 load load_state_dict pop join MNIST format setdefault print DataLoader append expanduser load LeNet5 load_state_dict print rmtree format makedirs print time format decode list format join print len exit map mean sleep append range split items remove format isinstance expand_user print OrderedDict DataParallel save cpu module is_cuda update transpose_ LongTensor model size expand tqdm eval cuda enumerate norm format print reshape fooling_rate tqdm eval numpy PyTorchClassifier UniversalPerturbation generate v float sum enumerate transpose_ LongTensor model size expand from_numpy tqdm eval cuda enumerate Parameter items data isinstance print set OrderedDict load_url copy_ sub keys state_dict print cuda print cuda print cuda expanduser setdefault minimum norm reshape sign shape expand_dims abs attack_params | tantara/PeerNets-pytorch | 3,811 |
tanvidadu/Subjective-Bias-Detection | ['bias detection', 'word embeddings', 'sentiment analysis'] | ['Towards Detection of Subjective Bias using Contextualized Word Embeddings'] | train_model.py preprocess.py is_torch_available ColaProcessor MnliProcessor InputExample acc_and_f1 RteProcessor simple_accuracy set_seed MnliMismatchedProcessor QqpProcessor StsbProcessor QnliProcessor compute_metrics convert_examples_to_features is_tf_available DataProcessor InputFeatures Args MultipleClassificationProcessor WnliProcessor Sst2Processor evaluate pearson_and_spearman MrpcProcessor BinaryClassificationProcessor SingleSentenceClassificationProcessor train load_and_cache_examples join text_b float InputFeatures text_a get_labels tfds_map guid info label get_example_from_tensor_dict cardinality encode_plus enumerate append len f1_score accuracy_score precision_score recall_score seed manual_seed_all manual_seed gradient_accumulation_steps model get_linear_schedule_with_warmup tuple clip_grad_norm_ zero_grad DataLoader DataParallel DistributedDataParallel max_grad_norm output_dir save max exists initialize list set_seed logging_steps load_state_dict master_params state_dict SummaryWriter format close mean save_pretrained num_train_epochs info fp16 trange per_gpu_train_batch_size max_steps enumerate load join int n_gpu items evaluate model_name_or_path AdamW backward add_scalar print makedirs dumps tqdm parameters step train_batch_size len tuple DataLoader DataParallel argmax max eval_batch_size squeeze per_gpu_eval_batch_size compute_metrics append SequentialSampler update format eval info zip load_and_cache_examples join n_gpu makedirs tqdm numpy len pop join str format load max_seq_length data_dir barrier get_labels TensorDataset convert_examples_to_features save info tensor str | tanvidadu/Subjective-Bias-Detection | 3,812 |
taohan10200/USADTM | ['template matching'] | ['Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning'] | label_guessor.py dataloader/SVHN.py misc/MI_losses.py misc/ema.py misc/lr_scheduler.py dataloader/setting.py model/WideResnet.py train.py misc/utils.py misc/feature_pool.py dataloader/transform.py dataloader/cifar.py misc/DTM.py dataloader/STL10.py dataloader/MNIST.py dataloader/sampler.py dataloader/loading_data.py dataloader/randaugment.py config.py LabelGuessor Trainer CIFAR10SSL CIFAR100SSL loading_data x_u_split TransformFix update_loading MNISTSSL color_func cutout_level_to_args rotate_func posterize_level_to_args shear_level_to_args brightness_func contrast_func translate_x_func solarize_level_to_args translate_level_to_args rotate_level_to_args cutout_func identity_func solarize_func translate_y_func equalize_func posterize_func autocontrast_func sharpness_func shear_y_func enhance_level_to_args RandomAugment none_level_to_args shear_x_func SubsetRandomSampler WeightedRandomSampler RandomSampler BatchSampler SequentialSampler Sampler STL10SSL SVHNSSL ToTensor Compose Resize Normalize RandomHorizontalFlip PadandRandomCrop Cluster euclidean_dist EMA FeaturePool WarmupExpLrScheduler WarmupCosineLrScheduler WarmupPolyLrScheduler Triplet_MI_loss compute_joint MI_loss initialize_weights logger AverageMeter vis_results copy_cur_env accuracy AverageCategoryMeter ProgressMeter logger_txt Timer real_init_weights update_model logger_for_CMTL print_summary weights_normal_init WideResnetBackbone BasicBlockPreAct WideResnet batch_size n_labeled DataLoader BatchSampler STL10 SVHN STL10SSL SVHNSSL CIFAR10SSL CIFAR100 mu x_u_split MNISTSSL Compose targets CIFAR10 MNIST print labels RandomSampler CIFAR100SSL STL10SSL SVHNSSL batch_size CIFAR10SSL print MNISTSSL hstack RandomSampler flatten CIFAR100SSL DataLoader BatchSampler array extend range array shuffle merge merge getRotationMatrix2D warpAffine uint8 array astype uint8 astype float32 uint8 astype mean sum array uint8 astype uint8 ones astype float32 filter2D uint8 astype float32 uint8 astype float32 uint8 astype float32 uint8 bitwise_and uint8 astype float32 random array copy t sqrt addmm_ expand compute_joint size clone softmax sum log t sum size unsqueeze real_init_weights children Module isinstance print Conv2d bias normal_ BatchNorm2d weight constant_ Linear fill_ isinstance Conv2d normal_ modules Linear SummaryWriter readlines copy_cur_env mkdir open readlines copy_cur_env mkdir open data str restore uint8 make_grid add_image ToTensor astype extend stack repeat zip enumerate join remove logger_txt save exists state_dict join copyfile mkdir isfile listdir copytree print | taohan10200/USADTM | 3,813 |
taolicheng/VAE-Jet | ['outlier detection'] | ['Variational Autoencoders for Anomalous Jet Tagging'] | preprocessing.py tf2/train_disco.py tf2/utils.py tf2/vae.py tf1/train_betaVAE.py tf2/disco.py tf2/train_oe_resample.py tf1/utils.py tf2/train.py preprocessing jet_vae_lstm jet_vae_fcn load_test jet_mass AnnealingCallback jet_pt load_scaler load_data calc_emd distance_corr annealing_fn train_vae annealing_fn_2steps annealing_fn train load_oe_data_resample annealing_fn train_oe annealing_fn_v2 load_test jet_mass jet_pt load_data VariationalAutoEncoder Encoder_0 Decoder Encoder AutoEncoder Sampling deepcopy eta rotate_z arctan2 reshape set_perp phi rotate_x ravel boost_vector sqrt boost LorentzVector sum range len decoder Model summary Input compile int decoder print Model summary Input compile reshape sum sqrt reshape sqrt range len File jet_pt len range fit File jet_pt len close transform range fit transform File emd jet_4v_translate_py3 append array range len reshape transpose sqrt reduce_mean tile abs min gradient save_weights trainable_weights kl_loss_metric list VariationalAutoEncoder annealing_fn Adam result reset_states loss_metric apply_gradients append train_test_split mse_loss_metric range from_tensor_slices MeanSquaredError zip Mean batch enumerate val_loss_metric print mse_loss_fn vae load_data min gradient save_weights trainable_weights dc_val_metric distance_corr list VariationalAutoEncoder train_loss_metric Adam reset_states result apply_gradients append train_test_split range ones_like from_tensor_slices dc_metric close MeanSquaredError zip Mean batch enumerate int val_loss_metric print File mse_loss_fn annealing_fn_2steps vae load_data PiecewiseConstantDecay print load_w_oe shuffle min gradient save_weights trainable_weights list loss_mse_oe_fn VariationalAutoEncoder train_loss_metric ones Adam reset_states train_in_loss_metric result apply_gradients iter load_oe_data_resample append train_test_split next encoder range from_tensor_slices val_in_loss_metric MeanSquaredError annealing_fn_v2 load_weights zip Mean train_oe_loss_metric batch enumerate int val_loss_metric print val_oe_loss_metric mse_loss_fn load_data vae_oe loss_kl_oe_fn jet_pt close append array range len | taolicheng/VAE-Jet | 3,814 |
taoqiongxing/Enhancing-Relation-Extraction-using-Syntactic-Indicators-and-Sentential-Contexts | ['relation extraction'] | ['Enhancing Relation Extraction Using Syntactic Indicators and Sentential Contexts'] | logger.py run_pretraining.py run_classifier_with_tfhub.py run_classifier.py modeling.py optimization.py optimization_test.py tokenization_test.py configure.py create_pretraining_data.py modeling_test.py tokenization.py utils.py run_squad.py extract_features.py run_classifier2.py parse_args 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 read_examples InputFeatures input_fn_builder InputExample _truncate_seq_pair convert_examples_to_features main model_fn_builder Logger 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 BertModelTest create_optimizer AdamWeightDecayOptimizer OptimizationTest create_model InputFeatures MrpcProcessor input_fn_builder file_based_input_fn_builder InputExample ranking_loss _truncate_seq_pair model_fn_builder file_based_convert_examples_to_features convert_examples_to_features main _truncate_seq_pair_10_text_b PaddingInputExample DataProcessor convert_single_example create_model InputFeatures MrpcProcessor input_fn_builder file_based_input_fn_builder InputExample _truncate_seq_pair model_fn_builder file_based_convert_examples_to_features convert_examples_to_features main _truncate_seq_pair_10_text_b PaddingInputExample DataProcessor convert_single_example main create_tokenizer_from_hub_module create_model model_fn_builder get_masked_lm_output gather_indexes get_next_sentence_output input_fn_builder _decode_record main model_fn_builder _check_is_max_context create_model _compute_softmax InputFeatures input_fn_builder get_final_text _improve_answer_span _get_best_indexes validate_flags_or_throw read_squad_examples convert_examples_to_features SquadExample FeatureWriter main write_predictions model_fn_builder validate_case_matches_checkpoint 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 TokenizationTest load_word2vec load_glove initializer format print add_argument exit upper print_help getattr ArgumentParser vars 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 input_type_ids input_mask append unique_id input_ids join text_b InputFeatures convert_tokens_to_ids _truncate_seq_pair tokenize info append unique_id text_a enumerate len pop len read_examples input_fn_builder bert_config_file TPUEstimator PER_HOST_V2 convert_examples_to_features input_file from_json_file model_fn_builder RunConfig pow tanh sqrt pi lower name group OrderedDict match list_variables layer_norm dropout one_hot reshape get_shape_list matmul gather 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 while_loop to_float constant join text_b isinstance InputFeatures convert_tokens_to_ids len index _truncate_seq_pair tokenize guid info append text_a enumerate si_mask segment_ids create_int_feature TFRecordWriter write SerializeToString close OrderedDict Example input_mask info e1_mask input_ids enumerate e2_mask convert_single_example pop get_variable get_pooled_output value BertModel si_mask segment_ids e22_p e12_p label_id e21_p si_id e1_mask e11_p e2_mask convert_single_example get_train_examples init_checkpoint set_random_seed output_dir do_train abspath Logger do_predict argmax file_based_convert_examples_to_features validate_case_matches_checkpoint str data_dir len get_labels LoggingTensorHook do_lower_case predict logging_eval predict_batch_size lower MakeDirs num_train_epochs int warmup_proportion join curdir time makedirs file_based_input_fn_builder get_test_examples train array train_batch_size Module add dict set bert_module do_eval TPUClusterResolver create_tokenizer_from_hub_module eval_batch_size tpu_name use_tpu bert_hub_module_handle evaluate get_dev_examples gather_indexes reshape get_shape_list range gather parse_single_example to_int32 list keys join is_whitespace whitespace_tokenize version_2_with_negative warning SquadExample append len _DocSpan printable_text _improve_answer_span orig_answer_text length range doc_tokens question_text start output_fn _check_is_max_context namedtuple join tokenize range length start min enumerate reshape get_shape_list transpose get_sequence_output matmul unstack bias_add int64 FixedLenFeature strip end_logit _get_best_indexes sorted defaultdict get_final_text _NbestPrediction end_logits OrderedDict append start_logit replace _compute_softmax start_logits info enumerate join namedtuple text _PrelimPrediction version_2_with_negative split join _strip_spaces iteritems BasicTokenizer len info verbose_logging tokenize find sorted append range enumerate len append exp validate_case_matches_checkpoint init_checkpoint do_lower_case do_predict do_train RawResult validate_flags_or_throw max_answer_length n_best_size append num_features close shuffle FeatureWriter read_squad_examples write_predictions match group isinstance PY3 PY2 isinstance PY3 PY2 OrderedDict append strip split category category startswith category ord format print astype vocabulary_ float32 sqrt len get format asarray print astype vocabulary_ float32 sqrt split open len | taoqiongxing/Enhancing-Relation-Extraction-using-Syntactic-Indicators-and-Sentential-Contexts | 3,815 |
taranO/defending-adversarial-attacks-by-RD | ['adversarial attack'] | ['Towards Evaluating the Robustness of Neural Networks'] | libs/model_multi_channel.py libs/setup_cifar.py test_model_multi_channel.py train_model_multi_channel.py libs/setup_mnist.py prepare_data_for_classification makeDir MultiChannel CIFARModel CIFAR CIFARModelAllLayers load_batch MNIST FashionMNIST extract_data MNISTModelAllLayers extract_labels MNISTModel reshape makedirs read transpose fromstring append range | taranO/defending-adversarial-attacks-by-RD | 3,816 |
tarepan/jsss | ['speech synthesis'] | ['JSSS: free Japanese speech corpus for summarization and simplification'] | jsss/PyTorch/Lightning/datamodule/waveform.py jsss/PyTorch/Lightning/datamodule/spectrogram.py jsss/corpus.py jsss/PyTorch/dataset/waveform.py jsss/PyTorch/dataset/spectrogram.py JSSS ItemIdJSSS Datum_JSSS_spec_train Datum_JSSS_spec_test get_dataset_spec_path JSSS_spec preprocess_as_spec JSSS_wave Datum_JSSS_wave preprocess_as_wave get_dataset_wave_path JSSS_spec_DataModule NpVCC2016DataModule load_wav get_dataset_spec_path mkdir save load_wav mkdir get_dataset_wave_path save | tarepan/jsss | 3,817 |
tarolangner/ukb_segmentation | ['semantic segmentation'] | ['Kidney segmentation in neck-to-knee body MRI of 40,000 UK Biobank participants', 'TernausNet: U-Net with VGG11 Encoder Pre-Trained on ImageNet for Image Segmentation'] | cross_validation/scripts/dataLoading.py inference/infer.py quality_controls/defineFilters.py cross_validation/scripts/evaluate.py cross_validation/scripts/crossValidate.py image_fusion/predictForSubject.py cross_validation/scripts/predict.py inference/measure.py quality_controls/applyExclusions.py cross_validation/scripts/createNewSplit.py cross_validation/scripts/models/model_resUnet.py image_fusion/dicomToVolume.py cross_validation/scripts/train.py image_fusion/numba_interpolate.py cross_validation/scripts/createTrainingSlices.py image_fusion/fuseVolumes.py convertSubject formatSignal padSlice formatSeg createFolders normalizeClip main storeDocumentation main runExperiment getDataloader createDocumentation SliceDatasetDeformable evaluateSnapshots parseEvalFile aggregate evaluateAgreement plotCurve aggregateEvalForIteration writeSubsetTrainingCurve fuseStationsGt predictWithCheckpoint normalize getDataloader predict writeOverlay train ConvRelu conv1x1 UNet conv3x3 DecoderBlock getSignalSliceNamesInZip slicesToStationData getDataFromDicom dicomToVolume stationsFromDicom formatNrrdHeader groupSlicesToStations extractStationsForModality ensureStationConsistency correctOverlapIntensity fuseVolume formatMip fadeStationEdges combineStationsToVolume fuseStations storeNrrd normalize getReadCoordinates trimStationOverlaps resampleStations getFusionCost interp3d interpolate3d formatInputSlices reshapeSeg normalizeClipVolume predictForSubject predict normalize formatMip rateSegmentationSmoothness getDataloader processSubject DicomDataset writeTxtLine main measureKidneys identifySide measurePancreas maskFile main aggregateExcludedIds parseRatings parseMeasurements main rejectPercentile parseQualityFile time format convertSubject print astype createFolders storeDocumentation range len format replace print formatSignal exit formatSeg save range len read arange reshape padSlice normalizeClip swapaxes append zeros range clip read print astype padSlice swapaxes append zeros range exists print exit rmtree exists makedirs copyfile percentile astype ceil amin amax pad array astype runExperiment format arange evaluateSnapshots aggregate FloatTensor print len exit createDocumentation getDataloader writeSubsetTrainingCurve train cuda range makedirs glob copy makedirs format print extend DataLoader SliceDatasetDeformable len int format basename move glob multiply plotCurve aggregateEvalForIteration makedirs mean vstack r2_score zeros abs std range len format parseEvalFile astype extend range len pop astype pop plotCurve astype mean zeros float range len plot xlabel grid astype ylabel close argsort savefig time format print evaluateAgreement len astype fuseStationsGt predictWithCheckpoint range makedirs len load read format print write load_state_dict append predictForSubject range len read format print write shape fuseStations around append array range argmax size range eval numpy cuda net writeOverlay imwrite replace multiply astype swapaxes zeros amin amax SliceDataset zeros time format backward print param_groups zero_grad Adam parameters save item zeros step cuda net cross_entropy format print formatNrrdHeader flip array swapaxes append stationsFromDicom ensureStationConsistency shape array eye argmax sum list format zip print tile unique append abs array hstack astype unique append amin slicesToStationData amax len int value pixel_array astype list shape zip zeros array range len getSignalSliceNamesInZip close groupSlicesToStations ZipFile range len ascontiguousarray trimStationOverlaps around swapaxes fuseVolume range flip resampleStations len write shape array eye sum concatenate astype resize rot90 astype sum min range shape amin abs max clip amax len correctOverlapIntensity len astype fadeStationEdges combineStationsToVolume range getFusionCost astype swapaxes zeros flip range len shape zeros array range len float range len mean float range len int format print astype floor ceil array range len flatten around linspace getReadCoordinates abs append meshgrid sum range interpolate3d concatenate astype RegularGridInterpolator int rgi reshape zeros amax len int grid copy_to_host int to_device ceil zeros shape fuseStations append array range predict len formatInputSlices reshapeSeg len shape swapaxes append detach shape array zeros astype arange astype normalizeClipVolume pad swapaxes zeros float range array clip percentile copy ceil amin range amax load exit ascontiguousarray getDataloader eval processSubject load_state_dict cuda makedirs format imwrite write formatMip measureKidneys rateSegmentationSmoothness writeTxtLine predictForSubject range len normalize zeros abs zeros sum shape DicomDataset arange ones abs identifySide where range mean shape label sum prod zeros amax mean abs prod where aggregateExcludedIds maskFile float print exit extend astype unique range len invert hstack parseRatings unique in1d rejectPercentile print exit parseMeasurements parseQualityFile pop argsort astype pop astype argsort sqrt vstack sum show int format arange plot print makedirs copyfile argsort rmtree title savefig range exists len | tarolangner/ukb_segmentation | 3,818 |
tata1661/FewShotPapers | ['few shot learning'] | ['Generalizing from a Few Examples: A Survey on Few-Shot Learning'] | PaddleFSL/test/datasets/few_rel_test.py PaddleFSL/test/datasets/tiered_imagenet_test.py PaddleFSL/test/task_sampler/taskset_test.py PaddleFSL/examples/FewCLUE/pet/data.py PaddleFSL/test/utils/model_test.py PaddleFSL/paddlefsl/utils/io.py PaddleFSL/paddlefsl/task_sampler/__init__.py PaddleFSL/examples/image_classification/anil_image_classification.py PaddleFSL/paddlefsl/backbones/conv.py PaddleFSL/test/backbones/rc_init_vector_test.py PaddleFSL/test/model_zoo/protonet_test.py PaddleFSL/paddlefsl/model_zoo/__init__.py PaddleFSL/examples/FewCLUE/efl/data.py PaddleFSL/test/datasets/cub_fs_test.py PaddleFSL/paddlefsl/model_zoo/maml.py PaddleFSL/test/model_zoo/anil_test.py PaddleFSL/paddlefsl/datasets/omniglot.py PaddleFSL/paddlefsl/model_zoo/siamese.py PaddleFSL/test/datasets/mini_imagenet_test.py PaddleFSL/paddlefsl/model_zoo/relationnet.py PaddleFSL/examples/FewCLUE/pet/evaluate.py PaddleFSL/test/datasets/cifar_fs_test.py PaddleFSL/examples/relation_classification/siamese_relation_classification.py PaddleFSL/paddlefsl/datasets/cifar_fs.py PaddleFSL/paddlefsl/model_zoo/protonet.py PaddleFSL/test/model_zoo/maml_test.py PaddleFSL/examples/relation_classification/protonet_relation_classification.py PaddleFSL/test/datasets/fc100_test.py PaddleFSL/test/backbones/conv_test.py PaddleFSL/paddlefsl/backbones/rc_position_embedding.py PaddleFSL/paddlefsl/datasets/tiered_imagenet.py PaddleFSL/examples/image_classification/maml_image_classification.py PaddleFSL/examples/image_classification/relationnet_image_classification.py PaddleFSL/examples/FewCLUE/p-tuning/model.py PaddleFSL/paddlefsl/__init__.py PaddleFSL/paddlefsl/datasets/fc100.py PaddleFSL/paddlefsl/backbones/relationnet.py PaddleFSL/examples/FewCLUE/p-tuning/predict.py PaddleFSL/test/backbones/mlp_test.py PaddleFSL/setup.py PaddleFSL/paddlefsl/datasets/tiered.py PaddleFSL/examples/FewCLUE/efl/evaluate.py PaddleFSL/test/backbones/rc_position_embedding_test.py PaddleFSL/paddlefsl/utils/training.py PaddleFSL/examples/FewCLUE/pet/pet.py PaddleFSL/examples/FewCLUE/p-tuning/evaluate.py PaddleFSL/paddlefsl/datasets/cv_dataset.py PaddleFSL/paddlefsl/datasets/cub_fs.py PaddleFSL/examples/FewCLUE/pet/model.py PaddleFSL/paddlefsl/datasets/mini_imagenet.py PaddleFSL/paddlefsl/utils/__init__.py PaddleFSL/examples/image_classification/protonet_image_classification.py PaddleFSL/paddlefsl/datasets/rc_dataset.py PaddleFSL/test/utils/io_test.py PaddleFSL/examples/FewCLUE/efl/task_label_description.py PaddleFSL/examples/FewCLUE/p-tuning/data.py PaddleFSL/paddlefsl/utils/model.py PaddleFSL/paddlefsl/task_sampler/taskset.py PaddleFSL/test/utils/training_test.py PaddleFSL/examples/FewCLUE/p-tuning/ptuning.py PaddleFSL/examples/FewCLUE/pet/predict.py PaddleFSL/paddlefsl/backbones/rc_init_vector.py PaddleFSL/paddlefsl/backbones/__init__.py PaddleFSL/paddlefsl/datasets/__init__.py PaddleFSL/paddlefsl/model_zoo/anil.py PaddleFSL/test/backbones/relationnet_test.py PaddleFSL/examples/FewCLUE/efl/train.py PaddleFSL/paddlefsl/datasets/few_rel.py PaddleFSL/test/datasets/omniglot_test.py PaddleFSL/examples/FewCLUE/efl/predict.py PaddleFSL/paddlefsl/backbones/mlp.py OcnliProcessor TnewsProcessor ChidProcessor create_dataloader CluewscProcessor CsldcpProcessor convert_example BustmProcessor CslProcessor EprstmtProcessor DataProcessor IflytekProcessor do_evaluate write_iflytek write_bustm write_csl set_seed write_csldcp write_ocnli write_eprstmt write_tnews write_cluewsc do_predict parse_args write_chid parse_args set_seed do_train transform_csldcp transform_chid convert_chid_example transform_ocnli create_dataloader transform_eprstmt convert_example transform_csl transform_tnews transform_bustm transform_cluewsc transform_iflytek do_evaluate_chid do_evaluate ErnieMLMCriterion ErnieForPretraining write_iflytek write_bustm write_csl set_seed write_csldcp write_ocnli write_eprstmt write_tnews write_cluewsc do_predict_chid do_predict write_chid set_seed do_train transform_csldcp transform_chid convert_chid_example transform_ocnli create_dataloader transform_eprstmt convert_example transform_csl transform_tnews transform_bustm transform_cluewsc transform_iflytek do_evaluate_chid do_evaluate ErnieMLMCriterion ErnieForPretraining set_seed do_train write_iflytek write_bustm write_csl set_seed write_csldcp write_ocnli write_eprstmt write_tnews write_cluewsc do_predict_chid do_predict write_chid main main main main main main Conv ConvBlock RCConv1D LinearBlock MLP RCInitVector RCPositionEmbedding ConvEmbedModel _reshape_input _reshape_output ConvRelationModel CifarFS CubFS CVDataset FC100 FewRel MiniImageNet Omniglot RCDataset main TieredImageNet inner_adapt meta_testing meta_training inner_adapt meta_testing meta_training meta_testing get_prototypes meta_training _get_prediction meta_testing meta_training _get_prediction siamese_core meta_training meta_testing _ordered_tensor TaskSet process_root decompress list_files download_url clear_file check_file_exist check_md5 list_dir classification_acc _clone_ordered_dict clone_model gradient_descent get_info_str print_training_info conv_block_test conv_test rc_conv1d_test mlp_test linear_block_test rc_init_vector_test get_idx_list_from_words_test search_tokens_test rc_position_embedding_test conv_embed_model_test conv_relation_model_test get_item_test sample_task_set_test len_test get_item_test sample_task_set_test len_test get_item_test len_test sample_taskset_test get_label_name_test get_item_test sample_task_set_test len_test get_item_test sample_task_set_test len_test get_item_test split_task_test class_num_test sample_task_set_test len_test get_item_test sample_task_set_test len_test inner_adapt_test inner_adapt_test get_prototype_test label_to_name_test transfer_backend_test list_dir_test clear_file_test list_files_test check_md5_test process_root_test download_url_test check_file_exist_test decompress_test clone_model_test gradient_descent_test classification_acc_test get_info_str_test print_training_info_test DistributedBatchSampler BatchSampler map tokenizer argmax sum concatenate reshape eval append train numpy array len add_argument ArgumentParser seed argmax concatenate reshape eval append train numpy len load_dataset load_dataset load_dataset load_dataset load_dataset load_dataset load_dataset load_dataset load_dataset from_pretrained model save device do_predict output_dir save_dir clear_grad seed str set_seed init_from_ckpt set_device step get_test_datasets load_dataset get_rank CrossEntropyLoss range state_dict negative_num partial format LinearDecayWithWarmup do_evaluate create_dataloader set_dict save_pretrained get_train_datasets init_parallel_env task_name enumerate load join warmup_proportion learning_rate time get_dev_datasets criterion backward print AdamW makedirs train epochs len convert_tokens_to_ids len join remove convert_tokens_to_ids tokenizer index tokenize len join str int replace join list convert_ids_to_tokens ones index range predict argmax all ones enumerate eval append numpy array range predict len ones array range predict argmax ones extend eval append numpy range predict len label2id label2id map evaluate_fn mlm_loss_fn ErnieMLMCriterion replace index Softmax model astype softmax_fn to_tensor enumerate Softmax model astype softmax_fn to_tensor language_model numpy append to_tensor astype Softmax model astype softmax_fn to_tensor enumerate Softmax model astype softmax_fn to_tensor enumerate load print load_dict meta_testing meta_training ParamAttr ParamAttr ParamAttr ParamAttr append concat stack squeeze stack ParamAttr classification_acc head_layer gradient_descent feature_model loss_fn to_tensor range sample_task_set CosineAnnealingDecay get_info_str clear_file clone_model save clear_grad str list Adam range CrossEntropyLoss state_dict process_root inner_adapt backward print_training_info parameters train step sample_task_set str inner_adapt print get_info_str clone_model append range CrossEntropyLoss model int stack range len classification_acc expand mean broadcast_to unsqueeze softmax cross_entropy transfer_backend base_lr get_prototypes query_labels support_labels eval _get_prediction tqdm get_prototypes transfer_backend query_labels _get_prediction eval support_labels one_hot squeeze mse_loss embedding_model query_data support_data relation_model embedding_model query_data relation_model support_data _ordered_tensor classification_acc reshape mean softmax sum max int concat append range len siamese_core siamese_core expanduser join makedirs get join int print check_file_exist expanduser makedirs expanduser join update md5 close iter expanduser open extract extractall close is_zipfile is_tarfile namelist dirname expanduser ZipFile open expanduser expanduser range OrderedDict clone id _sub_layers _parameters _clone_ordered_dict copy OrderedDict __new__ type _buffers set_value grad id add parameters zip sublayers lower _full_name str print close write open ones print Sequential conv ConvBlock Flatten Linear ones Conv conv print print shape rand RCConv1D mlp print Sequential LinearBlock to_tensor mlp MLP print parameters to_tensor print get_idx_list_from_words print shape search_tokens print vector_initializer shape len print shape rand RCPositionEmbedding output_size ones print ConvEmbedModel embed_model ones ConvRelationModel print embed_model print shape show print len sample_task_set shape print sample_task_set shape print support_data print get_label_name print class_num print class_num split_task transpose fromarray inner_adapt Sequential CrossEntropyLoss Flatten Linear print get_prototypes to_tensor print label_to_name print type transfer_backend support_data process_root print download_url print check_file_exist print check_md5 decompress print list_dir print list_files clear_file print classification_acc to_tensor model backward print model_cloned clone_model loss_fn step to_tensor range Linear model print gradient_descent loss_fn range to_tensor CrossEntropyLoss Linear RCPositionEmbedding print Sequential get_info_str RCConv1D print_training_info | tata1661/FewShotPapers | 3,819 |
tavanaei/ExplainableCNN | ['explainable artificial intelligence', 'semantic segmentation'] | ['Embedded Encoder-Decoder in Convolutional Networks Towards Explainable AI'] | Code/TrainImageNet.py Code/TrainCifar.py Code/.ipynb_checkpoints/Data-checkpoint.py Code/.ipynb_checkpoints/Test-checkpoint.py Code/Data.py Code/Test.py Code/XAI.py Code/.ipynb_checkpoints/TrainMNIST-checkpoint.py Code/TrainMNIST.py Code/.ipynb_checkpoints/TrainImageNet-checkpoint.py Code/.ipynb_checkpoints/XAI-checkpoint.py Code/.ipynb_checkpoints/TrainCifar-checkpoint.py ImageNetLoad2 ImageNetTest ImageNetLoad vis cifar tinyimagenet mnist calculate_accuracy calculate_accuracy calculate_accuracy Model ImageNetLoad2 ImageNetTest ImageNetLoad vis cifar tinyimagenet mnist calculate_accuracy calculate_accuracy calculate_accuracy Model seed list glob print shuffle shape stack zip append imread listdir array range len transform_test endswith to Compose vis stack numpy append zeros imread listdir net range len transform_test endswith transpose Compose vis numpy append to listdir net open load vis to numpy net open threshold COLOR_RGB2BGR boundingRect max RETR_TREE ones squeeze append range findContours astype copy dilate enumerate CHAIN_APPROX_SIMPLE min THRESH_BINARY rectangle erode cvtColor len data Variable to max net | tavanaei/ExplainableCNN | 3,820 |
tavihalperin/Neural-Egg-Seperation | ['speaker separation'] | ['Neural separation of observed and unobserved distributions'] | train_images.py train_audio.py utils.py models.py Generator257 Generator64 get_data preprocess get_shoes_bags_dataset get_ssim get_psnr Constants spec2aud abs Constants print range len transpose load preprocess append istft | tavihalperin/Neural-Egg-Seperation | 3,821 |
taylover-pei/SSDG-CVPR2020 | ['face anti spoofing', 'domain generalization'] | ['Single-Side Domain Generalization for Face Anti-Spoofing'] | experiment/O_M_I_to_C/dg_test.py utils/utils.py utils/get_loader.py utils/dataset.py experiment/I_C_M_to_O/train_ssdg_full.py models/DGFAS.py experiment/I_C_M_to_O/dg_test.py experiment/O_C_M_to_I/config.py experiment/O_C_M_to_I/train_ssdg_full.py utils/evaluate.py experiment/O_M_I_to_C/train_ssdg_full.py data_label/generate_label.py experiment/O_C_M_to_I/dg_test.py experiment/O_C_I_to_M/config.py experiment/O_C_I_to_M/train_ssdg_full.py loss/AdLoss.py experiment/O_M_I_to_C/config.py utils/statistic.py experiment/O_C_I_to_M/dg_test.py loss/hard_triplet_loss.py experiment/I_C_M_to_O/config.py casia_process msu_process oulu_process replay_process DefaultConfigs main test train DefaultConfigs main test train DefaultConfigs main test train DefaultConfigs main test train Real_AdLoss AdLoss_Limited Fake_AdLoss _pairwise_distance HardTripletLoss _get_anchor_negative_triplet_mask _get_anchor_positive_triplet_mask _get_triplet_mask GRL Classifier l2_norm Discriminator Feature_Embedder_MADDG Feature_Generator_ResNet18 resnet18 Feature_Generator_MADDG DG_model Feature_Embedder_ResNet18 YunpeiDataset eval get_dataset calculate get_threshold get_HTER_at_thr eval_state calculate_threshold get_EER_states draw_roc zero_param_grad AverageMeter accuracy mkdirs adjust_learning_rate time_to_str Logger save_checkpoint sample_frames dump print glob sort len close open find append range makedirs dump glob sort print makedirs len close find append range open dump glob sort print makedirs len close find append range open int dump glob sort print makedirs len close append range open update list draw_roc print AverageMeter get_HTER_at_thr accuracy eval roc_auc_score calculate_threshold append sum keys get_EER_states len load print YunpeiDataset tgt_best_model_name test DataLoader cuda best_model_path load_state_dict sample_frames Real_AdLoss checkpoint_path tgt_data batch_size lambda_adreal zero_grad timer src1_data SGD adjust_learning_rate save_checkpoint Logger src2_data src3_train_num_frames tgt_test_num_frames cuda lr_epoch_1 open max_iter src1_train_num_frames view get_dataset mkdirs iter sleep append to norm_flag next range cat update param_groups lr_epoch_2 size eval best_model_path item logs ad_net_real net src3_data src2_train_num_frames lambda_triplet backward print gpus AverageMeter write accuracy min step narrow len view criterion cuda fill_ view criterion cuda fill_ view criterion cuda fill_ relu matmul t sqrt unsqueeze float diag byte device eq unsqueeze byte device div norm load ResNet print load_state_dict update list calculate_threshold get_EER_states criterion AverageMeter get_HTER_at_thr accuracy item append sum keys CrossEntropyLoss roc_auc_score len print DataLoader sample_frames YunpeiDataset sum eval_state eval_state append float range fabs get_threshold eval_state append float float eval_state param_groups dump plot switch_backend xlabel grid ylabel title savefig legend open append makedirs load join int str clear dump print sort read_json close floor open range append len mkdir makedirs int items list str replace state_dict copy OrderedDict save round find zero_ | taylover-pei/SSDG-CVPR2020 | 3,822 |
tbonald/paris | ['graph clustering'] | ['Hierarchical Graph Clustering using Node Pair Sampling'] | utils.py spectral.py louvain.py paris.py get_clustering louvain maximize aggregate paris reorder_dendrogram spectral normalized_dasgupta_cost hsbm show_largest_clusters select_clustering plot_best_clusterings extract_subclusters resolution_analysis rank_clustering plot_dendrogram best_clustering pop list neighbors nodes edges sum max values add_edge list Graph add_nodes_from edges values has_edge append items aggregate copy set maximize edges values len pop add_edge list number_of_nodes convert_node_labels_to_integers min neighbors remove_node copy has_edge edges append float add_node update zeros lexsort range eigsh to_scipy_sparse_matrix ones min nodes dot argsort diags len axis max show subplot str draw_networkx_nodes list set_edgecolor nodes title draw_networkx_edges range update min subplots_adjust argsort figure best_clustering len show dendrogram axis copy figure log str print min argsort range len log pop int min range append pop int list add_edge number_of_nodes convert_node_labels_to_integers neighbors remove_node copy has_edge edges range add_node update show list plot xlabel xscale axvline ylabel reversed louvain ylim log10 figure logspace append step range len | tbonald/paris | 3,823 |
tboudou/neural_style_transfer | ['style transfer'] | ['A Neural Algorithm of Artistic Style'] | nst_utils.py nst_costs.py compute_style_cost compute_content_cost gram_matrix compute_layer_style_cost total_cost generate_noise_image save_image reshape_and_normalize_image load_vgg_model as_list reshape transpose square reduce_sum transpose matmul as_list reshape transpose square reduce_sum gram_matrix compute_layer_style_cost run _conv2d_relu VGG_MODEL Variable zeros _avgpool loadmat NOISE_RATIO astype reshape MEANS shape MEANS imsave astype | tboudou/neural_style_transfer | 3,824 |
tduboudi/IAMPS2019-Procedural-Fruit-Tree-Rendering-Framework | ['semantic segmentation'] | ['Toward a Procedural Fruit Tree Rendering Framework for Image Analysis'] | space_tree_scene_gen.py sapling_tree_scene_gen.py rendering_loop.py | tduboudi/IAMPS2019-Procedural-Fruit-Tree-Rendering-Framework | 3,825 |
team-approx-bayes/dnn2gp | ['gaussian processes'] | ['Approximate Inference Turns Deep Networks into Gaussian Processes'] | dnn2gp/utilities.py dnn2gp/laplace_models.py regression_uncertainty.py dnn2gp/variational_models.py marglik_uci.py kernel_and_predictive.py marglik_plots.py dnn2gp/dual_models.py dnn2gp/neural_networks.py kernel_and_predictive_plots.py dnn2gp/vogn.py dnn2gp/dnn2gp.py dnn2gp/gaussian.py dnn2gp/__init__.py marglik.py dnn2gp/datasets.py compute_kernel_predictive_VI compute_kernel_and_predictive_laplace plot_observations plot_kernel reg_ms_width sample_data reg_ms_delta get_datasets compute_marglik produce_paper_uci_plots produce_paper_toy_plots produce_additional_toy_plots reg_ms_width get_uci_dataset reg_ms_delta compute_marglik reg_ms_sigma closure compute_dual_quantities load_snelson_data plot_uncertainties ToyData1D compute_dual_quantities_mc Dataset compute_dnn2gp_quantities weights gradient compute_kernel compute_laplace DualLinearRegression DualModel DualGPRegression Gaussian NeuralNetworkRegression arg_check WilliamsNetwork LogisticWilliamsNetwork LogisticRegression LaplaceModel NeuralNetworkClassification CNNClassification LinearRegression WilliamsNN VectorizedNN LeNet5CIFAR SimpleConvNet SimpleMLP FMLP LeNet5 get_mnist_data compute_log_loss sigmoid_minus identity sigmoid_plus sigmoid get_samples get_scale gp_kernel_divergence compute_log_loss_hessian is_psd rlbl create_sine_data compute_log_loss_gradient get_sigmoid_samples VariationalNeuralRegression VOGGN update_input VOGN compute_dnn2gp_quantities list format hstack compute_kernel compute_laplace save append numpy range compute_dnn2gp_quantities list format hstack save append numpy range einsum iplot format write_image len Layout append max Figure enumerate iplot format write_image shape Layout append max Figure enumerate list randn rand choice sin range list T sample_data sin append range KL clip loss NeuralNetworkRegression ELBO append UsSs sqrt compute_log_mlh_converged enumerate VariationalNeuralRegression DualGPRegression dict log_marginal_likelihood compute_log_mlh posterior_predictive_f predictive_map mean_squared_error diag list logspace get_datasets int list print astype get_datasets unique len subplots grid tick_right set_xlabel scatter twinx savefig legend format plot set_xlim tight_layout mean sqrt set_label_position annotate set_xscale set_yticks set_ylabel fill_between array set_ylim len subplots grid abs tick_right set_xlabel argmin scatter twinx savefig legend plot set_xlim tight_layout mean sqrt set_label_position set_xscale set_yticks set_ylabel fill_between array set_ylim len subplots grid abs tick_right set_xlabel argmin scatter twinx savefig legend format plot tight_layout mean sqrt set_label_position zip get_next_color set_xscale set_ylabel fill_between array set_ylim len join append StandardScaler load_full_train_set load_full_test_set transform numpy Dataset range fit_transform print get_uci_dataset list get_uci_dataset logspace get_uci_dataset _load_snelson permutation format plot xlabel ylabel tight_layout sqrt ylim scatter savefig figure legend zip fill_between xlim enumerate backward model zero_grad zip append zeros numpy enumerate detach normal compute_dual_quantities sqrt vector_to_parameters zip append range addcdiv enumerate flatten zero_grad objective cat cat einsum list diag_embed backward diag weights zero_grad gradient tqdm flatten stack append to forward range einsum detach ones_like diag_embed list backward weights zero_grad gradient tqdm t append forward range einsum detach exp print seterr sigmoid_minus where sigmoid_plus sigmoid dot len sigmoid dot len exp dot sum log len T randn sort reshape rand linspace sin cholesky seed seed MNIST Compose pinv slogdet data | team-approx-bayes/dnn2gp | 3,826 |
teaspn/teaspn-sdk | ['grammatical error correction'] | ['TEASPN: Framework and Protocol for Integrated Writing Assistance Environments'] | server/teaspn_handler.py server/handler_impl_sample.py server/teaspn_server.py server/protocol.py TeaspnHandlerSample DiagnosticSeverity Position Range WorkspaceEdit CodeAction Hover Command CompletionList SyntaxHighlight Example Diagnostic TextEdit TextDocumentSyncKind Location CompletionItem TeaspnHandler main TeaspnServer _binary_stdio setmode fileno O_BINARY start TeaspnServer _binary_stdio TeaspnHandlerSample | teaspn/teaspn-sdk | 3,827 |
tedunderwood/genredistance | ['information retrieval'] | ['The Historical Significance of Textual Distances'] | logistic/metaselector.py parsejsons/make_pathmeta.py logistic/modelingprocess.py logistic/versatiletrainer2.py select_data/scrape_marc.py parsejsons/parsefeaturejsons.py logistic/genre_experiment.py logistic/SonicScrewdriver.py logistic/methodological_experiment.py parsejsons/SonicScrewdriver.py compare_cross_models foldintodict reliable_genre_comparisons genrespace implement_assignment create_model_assignments add2dict create_cross_models get_divergence set_positive_ratio load_metadata match_negatives tags2tagset select_instances force_even add_standard_date dilute_positive_class first_experiment vary_fantasy_ratio_against_sf get_divergences measure_sf_divergences measure_fsf_divergences kldivergence write_a_row new_divergences get_ratio_data vary_fantasy_ratio_against_random accuracy averagecorr measure_fantasy_divergences new_self_comparisons new_experiment vary_sf_ratio_against_random accuracy_loss get_divergence sliceframe model_one_volume sliceframe_list remove_zerocols svm_model normalizearray model_volume_list add_dicts readtsv simple_date easywritetsv date_row get_tagset dirty_pairtree infer_date sortkeysbyvalue writetsv clean_pairtree pairtreefile pairtreepath sortvaluesbykey pairtreelabel appendtodict addtodict get_vocablist model_call create_folds sliceframe gridsearch crossvalidate get_dataframe apply_pickled_model calculate_accuracy leave_one_out_folds get_fullmodel tune_a_model export_model get_features get_simple_data create_vocablist normalizearray slice_list VolumeFromJson add_feature normalize_token add_dicts readtsv simple_date easywritetsv date_row dirty_pairtree infer_date sortkeysbyvalue writetsv clean_pairtree pairtreefile pairtreepath sortvaluesbykey pairtreelabel appendtodict addtodict get_materialtype datefinder cleanrange startswithdate croncheck subfield_dictionary parsemarc extract_subfields parse008 numcount append items list add2dict str int sum remove tune_a_model write_a_row range dict get_simple_data split_metadata firstpub round read_csv get_divergence len list print write_a_row set dict get_divergence enumerate apply_pickled_model std_date arctanh accuracy mean accuracy_loss int iterrows list sum tune_a_model remove print len add set get_simple_data firstpub round read_csv split list print add set range read_csv len int sum remove list tune_a_model items print set dict get_simple_data firstpub round len str print write_a_row exit dict append range get_divergence zeros assign int index str print index set apply assign add_standard_date read_csv pop print sort shuffle index append abs len str print min tolist extend sample assign zip append range max std_date len str iterrows print min match_negatives shuffle extend sample dict force_even append DataFrame len str iterrows int print extend sample dict append len pop str iterrows int print extend index sample dict append len show tune_a_model get_simple_data matshow get_vocablist list str get_dataframe endswith load_metadata print sort append listdir dilute_positive_class enumerate flatnonzero len str get_ratio_data tune_a_model range str get_ratio_data tune_a_model range str get_ratio_data tune_a_model range realclass sum len asarray arctanh probability apply_pickled_model kldivergence averagecorr alien_model accuracy_loss str get_divergences dict read_csv range str get_divergences dict read_csv range str get_divergences dict read_csv range str int sum remove tune_a_model dict get_simple_data firstpub round range len str write_a_row dict range get_divergence str write_a_row dict range get_divergence append sum range len list len remove_zerocols array drop drop array delete len list print mean shape append std range sliceframe print reshape LogisticRegression normalizearray fit sliceframe_list LogisticRegression transform StandardScaler fit sliceframe_list SVC normalizearray predict fit append append items list sorted append items list sorted items list replace find replace find len range replace find list rstrip dict split append range len append list enumerate len list len dict append enumerate replace replace int infer_date infer_date set split zeros enumerate len Counter create_vocablist get map_async join print wait close svm_model model_volume_list Pool model_call list tuple dict zip append print str show str crossvalidate matshow print calculate_accuracy shape unravel_index zeros argmax enumerate len list sorted remove print shuffle index set dict zip append range len print add set append len append get_features list DataFrame str list get_vocablist get_dataframe endswith load_metadata print min sort enumerate select_instances append listdir max std_date flatnonzero len list var_ sort LogisticRegression zip transform StandardScaler array fit dict replace join get_dataframe transform set_index exists print Series index dict shape append read_csv len create_folds gridsearch replace crossvalidate print leave_one_out_folds calculate_accuracy get_fullmodel export_model to_csv drop assign transform len __next__ iter append range len lower isnumeric numcount len firstChild extend nextSibling isnumeric strip replace cleanrange isnumeric str replace strip set add split numcount find isnumeric str int rstrip replace datefinder startswith enumerate getElementsByTagName length dict attributes item extract_subfields range add set rstrip strip str getElementsByTagName list length add append range isupper value replace set attributes item parse008 items join get_materialtype datefinder startswithdate hasAttributes subfield_dictionary extract_subfields split | tedunderwood/genredistance | 3,828 |
tehret/mosaic-to-mosaic | ['demosaicking', 'denoising'] | ['Joint Demosaicking and Denoising by Fine-Tuning of Bursts of Raw Images'] | demosaicnet_torch/torchlib/data.py data/generate_burst.py demosaicnet_torch/torchlib/modules/kernel_prediction.py demosaicnet_torch/torchlib/modules/__init__.py demosaicnet_torch/torchlib/modules/image_processing.py demosaicnet_torch/torchlib/image.py demosaicnet_torch/torchlib/modules/networks.py demosaicnet_torch/torchlib/metrics.py demosaicnet_torch/torchlib/utils.py demosaicnet_torch/torchlib/callbacks.py demosaicnet_torch/demosaicnet.py demosaicnet_torch/demosaic/converter.py demosaicnet_torch/demosaic/callbacks.py demosaicnet_torch/demosaic/modules.py demosaicnet_torch/demosaic/dataset.py demosaicnet_torch/demosaic/losses.py demosaicnet_torch/finetuning.py assert_quality.py demosaicnet_torch/torchlib/optim.py demosaicnet_torch/torchlib/trainer.py demosaicnet_torch/train.py assert_quality psnr rgb2bayer sample_noise cubic_interpolation bicubic_interpolation sample_transform main warp bayer_mosaic _psnr _float2uint xtrans_mosaic demosaick demosaick_load_model _uint2float _blob_to_image main load_net rgb2bayer psnr WarpedLoss blind_denoising main DemosaicVizCallback PSNRCallback Converter bayer_mosaic SRGB2Linear XtransDataset ToTensor xtrans_mosaic ToBatch BayerDataset Linear2SRGB DemosaicDataset GreenOnly L1Loss PSNR VGGLoss L2Loss GradientLoss apply_kernels get BayerNetworkNoise XtransNetwork crop_like BayerNetwork AccuracyCallback LossCallback Callback MultiDataLoader crop_like read_ppm write_pfm read_pfm create_window MSSSIM gaussian _ssim SSIM ssim SVAG MSVAG Trainer Averager Timer make_variable CSVLogger params2image ExponentialMovingAverage Checkpointer ImageGradients MedianFilter FullyConnected ConvChain FullyRecurrentAutoencoderLevel ConvBNRelu AutoencoderLevel FullyRecurrentAutoencoder Autoencoder RecurrentAutoencoder RecurrentAutoencoderLevel RecurrentCNN flatten psnr print compare_ssim astype float shape zeros size repeat cubic_interpolation clamp size repeat floor cuda long int bicubic_interpolation size astype cos repeat sin float cuda cat im read sample_noise rgb2bayer str p len write sample_transform shape warp open range out clip sigma mean log10 square astype float32 uint16 astype clip uint8 data reshape transpose copy shape zeros copy shape zeros tile copy shape time list format print min tqdm shape numpy device to range net get print convert Converter parameters dirname abspath cuda dtype squeeze transpose pad real normal format bayer_mosaic _psnr astype xtrans_mosaic close demosaick_load_model power linear_input int net_path print float32 dstack noise output_psnr output cpu gpu get print convert Converter dirname abspath cuda rgb2bayer model zero_grad save WarpedLoss cuda max clip open seed list FloatTensor psnr Adam map pad expand_dims range readline size compare_ssim astype float load_net criterion backward print Variable min write parameters repeat train step SGD Trainer pretrained seed basename xtrans data_dir Adam BayerDataset Converter append green_only get Parameters XtransDataset subsample Compose Subsample info fix_seed manual_seed val_data GreenOnly linear convert DeLinearize train loss ones_like shape any array int view unfold shape sqrt permute sum pop deepcopy shape Tensor Variable contiguous unsqueeze pow conv2d create_window size type_as get_device cuda is_cuda list cuda keys half reshape transpose mean shape pad numpy std clip | tehret/mosaic-to-mosaic | 3,829 |
tejaskhot/unsup_mvs | ['depth estimation'] | ['Learning Unsupervised Multi-View Stereopsis via Robust Photometric Consistency'] | code/tools/common.py code/cnn_wrapper/mvsnet.py code/cnn_wrapper/__init__.py code/unsup_mvsnet/homography_warping.py code/unsup_mvsnet/model.py code/unsup_mvsnet/test_dtu.py code/unsup_mvsnet/depthfusion_dtu.py code/cnn_wrapper/network.py code/unsup_mvsnet/visualize.py code/unsup_mvsnet/preprocess.py code/unsup_mvsnet/train_dtu.py UniNetDS2 RegNetUS0 RefineNet UNetDS2GN layer Network replace_str_in_file write_list Notify read_list ClassProperty get_file_list read_gipuma_dmb mvsnet_to_gipuma_dmb depth_map_fusion fake_colmap_normal write_gipuma_dmb mvsnet_to_gipuma_cam mvsnet_to_gipuma probability_filter repeat_float get_homographies repeat_int get_pixel_grids interpolate homography_warping _spatial_transformer less_one_percentage gradient depth_refine inverse_warping compute_reconstr_loss ssim inference_3view _pixel2cam _bilinear_sampler _cam2pixel non_zero_mean_absolute_diff inference less_three_percentage get_propability_map smooth_loss_sfmlearner mvsnet_loss gradient_y depth_smoothness compute_reconstr_loss_map inference_mem _meshgrid_abs gradient_x gen_dtu_resized_jumbled_path gen_dumvs_list gen_dtu_mvs_path load_pfm load_cam gen_pipeline_mvs_list crop_mvs_input scale_image write_cam scale_mvs_camera center_image write_pfm scale_mvs_input mask_depth_image gen_mvs_list gen_dtu_eval_list gen_dtu_resized_path scale_camera main MVSGenerator mvsnet_pipeline get_subdirs average_gradients main MVSGenerator DUMVS print exit splitlines FAIL ENDC join write open read replace print WARNING write ENDC exists reshape shape squeeze write_gipuma_dmb load_pfm open str write load_cam matmul close range open ones_like read_gipuma_dmb reshape squeeze multiply float32 where shape write_gipuma_dmb tile join get_file_list mvsnet_to_gipuma_dmb fake_colmap_normal copy mvsnet_to_gipuma_cam mkdir join get_file_list load_pfm write_pfm open print join system str ones_like reshape concat cast linspace meshgrid ones reshape matmul ones reshape matmul shape repeat_int stack cast clip_by_value floor gather_nd add_n expand_dims range reshape ceil shape stack gather_nd cast clip_by_value floor meshgrid _repeat_ range UniNetDS2 view_num get_homographies get_output slice squeeze float32 cast get_propability_map append RegNetUS0 range UniNetDS2 get_homographies get_output slice squeeze float32 cast get_propability_map append RegNetUS0 range UniNetDS2 get_output view_num get_homographies greater_equal slice squeeze float32 square max_h stack cast get_propability_map append max_w RegNetUS0 range get_output RefineNet reshape resize_bilinear multiply float32 shape div cast tile non_zero_mean_absolute_diff less_three_percentage less_one_percentage slice concat matmul matmul ones_like ones reshape transpose concat float32 matmul cast linspace expand_dims _bilinear_sampler cast float32 average_pooling2d exp gradient_y gradient_x gradient huber_loss gradient abs image_gradients huber_loss mean var astype float32 copy view_num range scale_camera view_num range scale_camera scale_image int base_image_size view_num max_h ceil max_w range expand_dims THRESH_TOZERO threshold THRESH_TOZERO_INV zeros float range split str write close FileIO range list rstrip readline read reshape fromstring map groups match float flip byteorder write FileIO close tostring flipud join int view_num append range split join int view_num append randint range split join int view_num append range split listdir dtu_data_root gen_dtu_mvs_path train_dtu join int view_num min append range split join int str view_num min append range split batch_size max_d get_next from_generator set_shape MVSGenerator make_initializable_iterator cast iter prefetch view_num slice ConfigProto batch local_variables_initializer join output_folder print TensorShape reshape makedirs inference_mem global_variables_initializer len join dense_folder output_folder print get_subdirs gen_pipeline_mvs_list mvsnet_pipeline concat reduce_mean zip append expand_dims seed train_dumvs shuffle DUMVS gen_dtu_resized_path dtu_data_root | tejaskhot/unsup_mvs | 3,830 |
tejaslodaya/timeseries-clustering-vae | ['time series'] | ['Variational Recurrent Auto-Encoders'] | vrae/vrae.py vrae/utils.py vrae/base.py BaseEstimator plot_clustering open_data Lambda Decoder Encoder _assert_no_grad VRAE print plot_clustering_plotly plot_clustering_matplotlib int permutation concatenate loadtxt shape expand_dims | tejaslodaya/timeseries-clustering-vae | 3,831 |
telecombcn-dl/2018-dlai-team5 | ['style transfer'] | ['A Neural Algorithm of Artistic Style', 'Exploring the structure of a real-time, arbitrary neural artistic stylization network', 'Preserving Color in Neural Artistic Style Transfer', 'Improving the Neural Algorithm of Artistic Style'] | Results/Network_modified.py | telecombcn-dl/2018-dlai-team5 | 3,832 |
telegraphic/PyGSM | ['optical character recognition'] | ['A model of diffuse Galactic Radio Emission from 10 MHz to 100 GHz'] | tests/test_gsm.py pygsm/pygsm2016.py tests/test_gsm2016.py tests/test_gsm_observer.py setup.py pygsm/pygsm.py pygsm/__init__.py GlobalSkyModel GSMObserver K_RJ2MJysr GlobalSkyModel2016 rotate_map K_CMB2MJysr GSMObserver2016 test_speed compare_to_gsm test_set_methods test_write_fits test_gsm_generate observer_test compare_gsm_to_old test_observed_mollview test_gsm_observer exp arange get_interp_val r pix2ang npix2nside Rotator nside2npix len GlobalSkyModel linspace generate print File average GlobalSkyModel generate abs view set_freq_unit GlobalSkyModel generate set_basemap time print GlobalSkyModel linspace generate remove generated_map_data generate GlobalSkyModel read_map write_fits GlobalSkyModel2016 GlobalSkyModel view generate show view GSMObserver GSMObserver2016 generate datetime view GSMObserver view_observed_gsm generate datetime view print close GSMObserver system view_observed_gsm savefig mollview generate range datetime | telegraphic/PyGSM | 3,833 |
tencent-alchemy/Alchemy | ['graph regression', 'molecular property prediction'] | ['Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective'] | pyg/gin.py dgl/mgcn.py pyg/ggnn.py dgl/layers.py pyg/chebynet.py dgl/sch.py pyg/Alchemy_dataset.py dgl/train.py pyg/mpnn.py dgl/mpnn.py pyg/gcn.py pyg/rgcn.py pyg/gat.py dgl/Alchemy_dataset.py AlchemyBatcher batcher TencentAlchemyDataset VEConv Interaction EdgeEmbedding CFConv RBFLayer ShiftSoftplus AtomEmbedding MultiLevelInteraction MGCNModel NNConvLayer MPNNModel SchNetModel train TencentAlchemyDataset train ChebyNet test train test GAT test train GCN GGNN Complete train test test train GIN MPNN Complete run train Complete RGCN test join BuildFeatureFactory RDDataDir L1Loss model MAE_fn zero_grad DataLoader SchNetModel set_mean_std Adam MSELoss to range format MGCNModel mean label enumerate TencentAlchemyDataset backward print graph parameters loss_fn step std MPNNModel y mse_loss y model tolist dict eval to range len y getLogger model zero_grad DataLoader device setLevel addHandler Adam to range setFormatter format Compose shuffle StreamHandler info float INFO FileHandler time backward print parameters Formatter train step mse_loss len | tencent-alchemy/Alchemy | 3,834 |
tensorboy/PIDOptimizer | ['stochastic optimization'] | ['A PID Controller Approach for Stochastic Optimization of Deep Networks'] | utils/__init__.py pid.py utils/logger.py mnist_moment.py utils/visualize.py utils/progress/progress/helpers.py utils/progress/progress/__init__.py utils/progress/progress/spinner.py utils/progress/test_progress.py mnist_pid.py utils/progress/setup.py utils/progress/progress/counter.py utils/progress/progress/bar.py utils/eval.py utils/misc.py compare.py plot_overlap savefig Logger LoggerMonitor Net Net PIDOptimizer accuracy plot_overlap savefig Logger LoggerMonitor init_params AverageMeter mkdir_p get_mean_and_std make_image show_mask_single show_mask gauss colorize show_batch sleep FillingSquaresBar FillingCirclesBar IncrementalBar ChargingBar ShadyBar PixelBar Bar Countdown Stack Counter Pie SigIntMixin WriteMixin WritelnMixin PieSpinner MoonSpinner Spinner PixelSpinner LineSpinner Progress Infinite asarray arange plot numbers enumerate len topk size t eq mul_ expand_as append sum max print DataLoader div_ zeros range len normal constant isinstance kaiming_normal Conv2d bias modules BatchNorm2d weight Linear makedirs numpy range zeros unsqueeze gauss show make_image imshow make_grid make_image subplot make_grid size clone axis upsampling imshow expand_as range make_image subplot make_grid size clone axis upsampling imshow expand_as cpu range len | tensorboy/PIDOptimizer | 3,835 |
tensorflow/kfac | ['stochastic optimization'] | ['Optimizing Neural Networks with Kronecker-factored Approximate Curvature'] | kfac/python/ops/loss_functions.py kfac/python/kernel_tests/optimizer_test.py kfac/python/ops/placement.py kfac/python/kernel_tests/data_reader_test.py kfac/python/keras/utils.py kfac/python/kernel_tests/keras_optimizers_test.py kfac/python/kernel_tests/keras_callbacks_test.py kfac/python/kernel_tests/periodic_inv_cov_update_kfac_opt_test.py kfac/examples/classifier_mnist_tpu_estimator.py kfac/python/kernel_tests/layer_collection_test.py kfac/python/kernel_tests/loss_functions_test.py kfac/examples/classifier_mnist.py kfac/examples/mnist.py kfac/python/kernel_tests/keras_saving_utils_test.py kfac/python/ops/op_queue.py kfac/python/ops/tensormatch/tensorflow_graph_util.py kfac/examples/rnn_mnist.py kfac/python/ops/utils.py kfac/__init__.py kfac/python/kernel_tests/graph_search_test.py kfac/python/ops/optimizer.py kfac/python/ops/kfac_utils/async_inv_cov_update_kfac_opt.py kfac/python/keras/optimizers.py kfac/examples/autoencoder_mnist_tpu_estimator.py kfac/examples/autoencoder_mnist.py kfac/python/kernel_tests/estimator_test.py kfac/python/kernel_tests/utils_test.py kfac/python/ops/estimator.py kfac/python/ops/kfac_utils/periodic_inv_cov_update_kfac_opt.py kfac/python/ops/tensormatch/graph_patterns.py kfac/python/kernel_tests/keras_utils_test.py kfac/python/ops/tensormatch/graph_matcher.py kfac/python/ops/curvature_matrix_vector_products.py kfac/python/ops/tensormatch/graph_search.py kfac/python/keras/callbacks.py kfac/python/ops/layer_collection.py kfac/python/ops/kfac_utils/data_reader.py kfac/python/ops/linear_operator.py kfac/python/ops/kfac_utils/data_reader_alt.py kfac/python/ops/fisher_factors.py setup.py kfac/python/kernel_tests/op_queue_test.py kfac/python/keras/saving_utils.py kfac/examples/convnet.py kfac/examples/autoencoder_mnist_tpu_strategy.py kfac/python/ops/fisher_blocks.py kfac/python/keras/__init__.py _get_batch_size_schedule get_keras_autoencoder make_train_op load_mnist construct_train_quants AutoEncoder compute_squared_error AutoEncoderManualReg compute_loss MLPManualReg main _model_fn make_train_op make_tpu_run_config compute_squared_error print_tensors mnist_input_fn compute_loss main make_train_op _train_step compute_squared_error mnist_input_fn compute_loss main train make_eval_ops _get_batch_size_schedule make_train_op load_mnist group_assign construct_train_quants Model compute_loss main _model_fn make_train_op make_tpu_run_config print_tensors mnist_input_fn main fc_layer minimize_loss_single_machine_manual _num_gradient_tasks build_model train_mnist_estimator _is_cov_update_task distributed_grads_only_and_ops_chief_worker _is_inv_update_task _make_distributed_train_op train_mnist_distributed_sync_replicas max_pool_layer minimize_loss_single_machine distributed_grads_and_ops_dedicated_workers train_mnist_single_machine _is_gradient_task conv_layer train_mnist_multitower load_mnist_as_tensors load_mnist_as_iterator load_mnist_as_dataset eval_model make_train_op load_mnist compute_loss main ExponentialDecay HyperparameterDecay PolynomialDecay _configure_kfac_kwargs_for_adaptive Kfac load_model _compile_args_from_training_config serialize_loss register_layer get_parent get_loss_fn register_loss serialize_fisher_approx get_layer_collection _get_verified_dict DataReaderTest EstimatorTest GraphSearchTestCase sparse_softmax_cross_entropy _build_model _build_mock_records assert_fisher_blocks_match HyperParamTracker CallbacksTest _generate_target_fn _generate_regression_data _simple_mlp _get_synthetic_mnist_train_tensors _mnist_model KfacOptimizerTest _train_model _get_synthetic_mnist_dataset SavingUtilsTest GetLayerCollectionTest GetLossFnTest SerializeLossTest _cnn _two_loss_model _mlp MockFisherBlock LayerCollectionTest LayerParametersDictTest OnehotCategoricalLogitsNegativeLogProbLossTest CategoricalLogitsNegativeLogProbLossTest InsertSliceInZerosTest OptimizerTest dummy_layer_collection OpQueueTest PeriodicInvCovUpdateKfacOptTest _construct_layer_collection AccumulatorVariableTest UtilsTest SubGraphTest SequenceDictTest CurvatureMatrixVectorProductComputer make_fisher_estimator FisherEstimator FisherEstimatorReplicaRoundRobin FisherEstimatorRoundRobin maybe_tuple InputOutputMultiTowerMultiUse NaiveDiagonalFB FullyConnectedSeriesFB ScaleAndShiftDiagonalFB DepthwiseConvDiagonalFB KroneckerProductFB FisherBlock FullyConnectedMultiIndepFB ConvDiagonalFB _package_func DepthwiseConvKFCBasicFB compute_pi_adjusted_damping set_global_constants SeriesFBApproximation ConvKFCBasicMultiIndepFB normalize_damping depthwise_conv2d_filter_to_conv2d_filter compute_pi_tracenorm ConvKFCBasicFB DiagonalFB conv2d_filter_to_depthwise_conv2d_filter FullFB PackagedFunc FullyConnectedDiagonalFB NaiveFullFB ScaleAndShiftFullFB InputOutputMultiTower FullyConnectedKFACBasicFB ConvOutputMultiKF ScaleAndShiftFactor ConvDiagonalFactor maybe_place_on_device _random_tensor_gather scope_string_from_params FullyConnectedDiagonalFactor DenseSquareMatrixFactor ConvInputSUAKroneckerFactor _subsample_patches FisherFactor ConvInputMultiKF DiagonalFactor NaiveFullFactor DiagonalKroneckerFactor NaiveDiagonalFactor ScaleAndShiftDiagonalFactor append_homog FullyConnectedMultiKF ConvOutputKroneckerFactor scalar_or_tensor_to_string compute_cov set_global_constants ConvInputKroneckerFactor scope_string_from_name graph_func_to_string DiagonalMultiKF graph_func_to_id FullyConnectedKroneckerFactor list_to_string ScaleAndShiftFullFactor LayerParametersDict LayerCollection set_default_layer_collection get_default_layer_collection LinearOperatorDiag LinearOperatorExtras LinearOperatorFullMatrix DistributionNegativeLogProbLoss insert_slice_in_zeros OnehotCategoricalLogitsNegativeLogProbLoss LossFunction NormalMeanNegativeLogProbLoss NegativeLogProbLoss MultiBernoulliNegativeLogProbLoss NormalMeanVarianceNegativeLogProbLoss CategoricalLogitsNegativeLogProbLoss NaturalParamsNegativeLogProbLoss _eval_quadratic KfacOptimizer _eval_quadratic_no_c set_global_constants _two_by_two_solve OpQueue ReplicaRoundRobinPlacementMixin RoundRobinPlacementMixin _make_thunk_on_device SubGraph MirroredVariableWrapper extract_pointwise_conv2d_patches matmul_sparse_dense ip_p multiline_print AccumulatorVariable batch_execute posdef_eig_svd sum_ _as_list get_num_replicas num_conv_locations get_replica_id extract_convolution_patches generate_random_signs layer_params_to_mat2d ip get_shape mat2d_to_layer_params posdef_inv is_replicated cls_name kronecker_product posdef_eig_self_adjoint column_to_tensors is_reference_variable sprod_p preferred_int_dtype assert_variables_match_pairs_list all_sum PartitionedTensor map_gather set_global_constants is_data_format_channel_last _check_match_lists_of_pairs ensure_sequence all_average posdef_inv_cholesky sum_p fwd_gradients posdef_eig SequenceDict sprod get_tf_replicator MovingAverageVariable is_tpu_replicated posdef_inv_matrix_inverse smart_cond posdef_inv_eig cholesky matmul_diag_sparse tensors_to_column smart_assign AsyncInvCovUpdateKfacOpt VariableBatchReader CachedDataReader _slice_data VariableBatchReader CachedDataReader _extract_data PeriodicInvCovUpdateKfacOpt match_element is_nonempty_seq match_eqv match_list match_internal match_any_noconsume matcher_with_consumed negated_pattern is_choice_pattern is_element_pattern _any element_name is_empty_seq is_internal_node_pattern choice_patterns PatternEvaluator matcher is_seq match_choice match_not is_any_pattern internal_patterns element_restrictions _all match_any internal_node_input_pattern all_matcher internal_node_output_pattern is_not_pattern is_list_pattern expand_thunks list_patterns is_any_noconsume_pattern internal_node_pattern Op LayerWithBatchNorm Variable FusedBatchNormOutput Affine Layer Placeholder BatchNorm Tensor Const ScaleAndShift register_records record_batch_norm_from_bindings filter_grouped_variable_records ensure_sequence register_subgraph_layers MatchRecord filter_subgraph_records record_affine_from_bindings filter_records register_layers filter_user_registered_records record_scale_and_shift_from_bindings RecordType AmbiguousRegistrationError import_ops_no_clobber op_type_is reduce_identity_ops make_op_pattern is_identity is_leaf is_const is_placeholder expand_inputs expand_outputs is_tensor is_op is_var learning_rate get_or_create_global_step adapt_damping PeriodicInvCovUpdateKfacOpt momentum AdamOptimizer damping initial_damping layers Sequential add use_sequential_for_keras Model Dense regularizers Input REGULARIZATION_LOSSES losses sigmoid_cross_entropy_with_logits get_collection use_keras_model reduce_sum reduce_mean compute_squared_error add_n batch_size load_mnist_as_tensors use_batch_size_schedule get_next prefetch load_mnist_as_dataset float log seed get_or_create_global_step update_damping_immediately enable_control_flow_v2 use_control_flow_v2 set_random_seed construct_train_quants enable_resource_variables ConfigProto prefetch AUTOTUNE load_mnist_as_dataset sorted no_op register_sigmoid_cross_entropy_loss get_or_create_global_step training_model_fn qmodel_change LayerCollection adapt_damping make_train_op AutoEncoder compute_squared_error auto_register_layers rho loss_fn expand_dims master save_checkpoints_steps make_tpu_run_config model_dir TPUEstimator train set_global_constants iterations_per_loop get_or_create_global_step qmodel_change adapt_damping get_keras_autoencoder make_train_op output compute_squared_error rho loss_fn get_layer_collection TPUStrategy initialize_tpu_system TPUClusterResolver ConfigProto float32 sparse_softmax_cross_entropy_with_logits cast argmax equal eval_model load_mnist_as_tensors group_assign Model variables use_custom_patches_op register_softmax_cross_entropy_loss Model training_model tanh Dense layer Conv2D layer relu fc_layer register_conv2d register_fully_connected reshape register_softmax_cross_entropy_loss sparse_softmax_cross_entropy_with_logits reduce_mean cast max_pool_layer info conv_layer argmax equal PeriodicInvCovUpdateKfacOpt get_or_create_global_step info get_or_create_global_step KfacOptimizer make_update_op info make_vars_and_create_op_thunks info minimize make_update_op _make_distributed_train_op info ConfigProto make_vars_and_create_op_thunks minimize OpQueue make_ops_and_vars _make_distributed_train_op info ConfigProto build_model LayerCollection load_mnist_as_iterator auto_register_layers info ConfigProto list get_or_create_global_step zip LayerCollection PeriodicInvCovUpdateKfacOpt load_mnist_as_iterator reduce_mean auto_register_layers info ConfigProto range split LayerCollection load_mnist_as_iterator auto_register_layers info train Estimator RunConfig reshape constant astype load_data load_mnist_as_tensors from_tensor_slices from_tensor_slices RandomState reshape rand prefetch randint load_mnist_as_dataset tanh register_fully_connected matmul unstack register_fully_connected_multi num_hidden append zeros get_variable register_softmax_cross_entropy_loss use_auto_registration auto_register_layers learning_rate damping qmodel_change LayerCollection load_mnist placeholder momentum cached_reader rho loss_fn float log update get startswith get deserialize map_structure get decode load_optimizer_weights_from_hdf5_group set_weights Kfac loads _make_train_function compile register_layers expand_inputs isinstance isinstance isinstance set dilation_rate output_tensors trainable_weights list all register_conv2d Embedding get_parent update register_conv1d upper Dense Conv1D register_scale_and_shift register_fully_connected isinstance strides _add_uses any Conv2D serialize isinstance output_tensors output lower get_parent register_squared_error_loss pop get list hasattr isinstance name LayerCollection register_layer output_names dict zip append serialize_fisher_approx register_loss __name__ _get_verified_dict string_types deserialize isinstance matmul float32 placeholder get_variable append _build_model defaultdict MatchRecord items list hasattr fisher_blocks assertEqual keys set _params _inputs _outputs type assertSetEqual list range RandomState reshape astype float32 randint from_tensor_slices _get_synthetic_mnist_dataset batch exp arange randn sort transpose rand square dot cholesky expand_dims _generate_target_fn arange astype shuffle float32 Input concatenate Kfac compile Input LayerCollection constant register_categorical_predictive_distribution register_layers enumerate info int trace assert_positive domain_dimension compute_pi_tracenorm cast dtype cast matmul as_list ones concat any len str scope_string_from_name join all isinstance tensors append PartitionedTensor replace isinstance shape int len cast get_strategy isinstance as_list isinstance reshape tuple shape append prod as_list reshape reshape IndexedSlices isinstance IndexedSlices isinstance cast eye cholesky self_adjoint_eig svd abs self_adjoint_eig cast eye is_tpu_replicated random_uniform has_strategy _as_list gradients number_of_shards get_tf_replicator has_strategy number_of_shards get_tf_replicator get_num_replicas is_tpu_replicated get_tf_replicator get_num_replicas get_num_replicas get_tf_replicator all_sum is_tpu_replicated get_num_replicas get_replica_id cond thunk append make_zeros_thunk equal enumerate isinstance zip _check_match_lists_of_pairs _check_match_lists_of_pairs join list format map zip append enumerate isinstance as_list shape match_list is_thunk pat isinstance expand_thunks make_combinators expand_thunks make_combinators expand_thunks make_combinators get decode tuple fully_connected map dict conv2d get_attr get dict get dict list ensure_sequence frozenset tuple fisher_blocks copy add set zip keys enumerate len register_records format tuple get_operations filter_list dict match filter_records warning recfunc append linked_parameters register_generic list keys ensure_sequence copy list ensure_sequence copy set keys linked_parameters defaultdict ensure_sequence set add params append filter_grouped_variable_records format ensure_sequence dict filter_user_registered_records filter_subgraph_records append list sorted format register_conv2d register_fully_connected tuple record_type register_fully_connected_multi info append keys register_generic register_scale_and_shift register_conv2d_multi startswith is_op Variable is_tensor is_op isinstance encode decode PY3 make_op_pattern | tensorflow/kfac | 3,836 |
tensorfreitas/Siamese-Networks-for-One-Shot-Learning | ['one shot learning'] | ['Siamese neural networks for one-shot image recognition'] | train_siamese_network.py modified_sgd.py siamese_network.py omniglot_loader.py image_augmentor.py bayesian_hyperparameter_optimization.py main ImageAugmentor Modified_SGD OmniglotLoader SiameseNetwork main format run_optimization print x_opt fx_opt BayesianOptimization str model SiameseNetwork train_siamese_network load_weights one_shot_test | tensorfreitas/Siamese-Networks-for-One-Shot-Learning | 3,837 |
tensorpack/benchmarks | ['stochastic optimization'] | ['Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour'] | ImageNet/symbolic_imagenet.py ResNet-Horovod/imagenet-resnet-horovod.py ResNet-MultiGPU/tfbench/resnet_model.py ImageNet/benchmark-opencv-resize.py other-wrappers/tflearn.cifar10.py ResNet-MultiGPU/tfbench/convnet_builder.py other-wrappers/keras.vgg.py other-wrappers/keras.alexnet.py ImageNet/benchmark-dataflow.py ImageNet/dump-lmdb.py other-wrappers/tflearn.vgg.py ResNet-Horovod/imagenet_utils.py ImageNet/augmentors.py Cifar10-fast/cifar10-fast.py profile-import/import_profiler.py ResNet-MultiGPU/tfbench/model_config.py ResNet-MultiGPU/resnet-multigpu.py profile-import/profile-import.py ResNet-Horovod/serve-data.py other-wrappers/tensorpack.alexnet.py other-wrappers/tensorpack.resnet.py ResNet-Horovod/resnet_model.py ImageNet/benchmark-tfdata.py other-wrappers/tensorpack.cifar10.py other-wrappers/keras.resnet.py other-wrappers/keras.cifar10.py other-wrappers/tensorpack.vgg.py ResNet-MultiGPU/tfbench/model.py get_data run_once get_inputs build_graph fbresnet_augmentor resizeAndLighting_augmentor inference_augmentor resizeOnly_augmentor test_lmdb_train test_lmdb_inference test_inference test_orig benchmark_ds RawILSVRC12 resize_shortest_edge training_mapper build_pipeline validation_mapper center_crop get_imglist uint8_resize_bicubic lighting gen gen gen get_data Model get_data Model block_func get_data resnet_shortcut Model group_func get_data Model ImportStack compute_intime ImportProfilerContext ImportInfo profile_import HorovodClassificationError get_config Model get_val_dataflow get_train_dataflow eval_classification ImageNetModel fbresnet_augmentor resnet_group resnet_backbone weight_standardization_context resnet_shortcut Norm GroupNorm resnet_bottleneck get_data TFBenchModel Model TensorpackModel maybe_freeze_updates ConvNetBuilder Model _get_model_map get_model_config register_model create_resnet50_v2_model create_resnet32_cifar_model create_resnet56_v2_cifar_model create_resnet101_v2_model bottleneck_block_v1 create_resnet110_v2_cifar_model create_resnet44_cifar_model create_resnet50_model bottleneck_block create_resnet110_cifar_model create_resnet152_model create_resnet44_v2_cifar_model create_resnet20_cifar_model create_resnet152_v2_model create_resnet32_v2_cifar_model create_resnet56_cifar_model bottleneck_block_v2 ResnetCifar10Model create_resnet20_v2_cifar_model create_resnet101_model ResnetModel residual_block softmax_cross_entropy_with_logits l2_regularizer reduce_sum float16 cast argmax equal regularize_cost MultiProcessMapAndBatchDataZMQ asarray Cifar10 MapData BatchData AugmentorList RepeatedData setup_graph get_latest TFDatasetInput get_inputs put get_data train_with_defaults SimpleTrainer reset_default_graph StagingInput AugmentImageComponent BatchData MultiProcessRunnerZMQ ILSVRC12 LMDBDataPoint LMDBData MultiProcessRunner MapDataComponent AugmentImageComponent BatchData MultiProcessRunnerZMQ LocallyShuffleData MultiProcessMapData LMDBData BatchData AugmentorList MultiProcessRunnerZMQ MultiProcessRunnerZMQ ILSVRC12Files BatchData AugmentorList MultiThreadMapData get_next group make_initializable_iterator join format ILSVRCMeta get_image_list guess_dir_structure info append _filter resize_bicubic cond greater cast float32 slice dtype reshape float32 matmul cast random_uniform sample_distorted_bounding_box random_flip_left_right extract_jpeg_shape read_file cond resize_shortest_edge reshape center_crop shape read_file decode_jpeg constant from_tensor_slices map_and_batch apply repeat prefetch len astype Conv2D elapsed get append data get_val_dataflow RemoteDataZMQ set_chief_only ZMQInput round QueueInput append StagingInput format ScheduledHyperParamSetter size info fbresnet_augmentor batch FakeData int InferenceRunner no_zmq_ops INTER_LINEAR MultiProcessRunnerZMQ min cpu_count AugmentImageComponent ILSVRC12 BatchData fbresnet_augmentor list format reset_state cpu_count min DataFromList ILSVRC12Files get_data BatchData info AugmentorList fbresnet_augmentor MultiThreadMapData len QueueInput format print size PredictConfig feed pred FeedfreePredictor ratio trange sum StagingInput uint8 as_list reshape shape stack batch_normalization get_variable moments len Conv2D resnet_shortcut FakeData QueueInput send_dataflow_zmq TFDatasetInput exit dataflow_to_dataset ZMQInput prefetch TensorInput name _get_model_map _get_model_map top_layer str top_size str batch_norm relu top_size top_layer bottleneck_block_v1 bottleneck_block_v2 batch_norm top_size relu top_layer pad conv apool | tensorpack/benchmarks | 3,838 |
ternaus/TernausNet | ['semantic segmentation'] | ['TernausNet: U-Net with VGG11 Encoder Pre-Trained on ImageNet for Image Segmentation'] | setup.py ternausnet/__init__.py ternausnet/models.py get_test_requirements get_long_description get_version UploadCommand UNet16 Interpolate UNet11 ConvRelu conv3x3 DecoderBlockV2 DecoderBlock join append dirname abspath | ternaus/TernausNet | 3,839 |
terrier-org/pyterrier | ['information retrieval'] | ['Declarative Experimentation in Information Retrieval using PyTerrier'] | pyterrier/io.py tests/test_grid.py tests/test_ltr_pipelines.py pyterrier/new.py tests/test_debug.py pyterrier/datasets.py tests/test_pipelines.py pyterrier/debug.py tests/test_model.py tests/test_maven.py tests/test_fbr.py pyterrier/model.py tests/test_pool.py tests/test_transformer.py docs/conf.py tests/test_io.py pyterrier/apply.py tests/test_text.py pyterrier/rewrite.py tests/test_trec_indexer.py tests/test_pickle.py tests/base.py pyterrier/text.py tests/test_utils.py tests/test_dunder.py tests/test_irds_integration.py tests/test_new.py tests/test_cache.py tests/test_experiment.py tests/test_rewrite.py pyterrier/batchretrieve.py pyterrier/__init__.py tests/test_br.py tests/test_datasets.py tests/test_topicsparsing.py pyterrier/measures.py tests/test_flash.py tests/test_indexpipelines.py tests/test_operators.py tests/test_parallel.py tests/test_files_indexer.py pyterrier/anserini.py tests/test_iterdictindex.py docs/extras/generate_includes.py pyterrier/cache.py pyterrier/utils.py pyterrier/parallel.py pyterrier/mavenresolver.py pyterrier/index.py setup.py tests/test_apply.py tests/test_index_with_background.py tests/test_scoring.py pyterrier/transformer.py pyterrier/bootstrap.py pyterrier/ltr.py tests/test_dfindex.py pyterrier/pipelines.py read get_version setup dataset_include setup _wrap experiment_includes fix_width _get_text _init_anserini AnseriniBatchRetrieve doc_features _bind doc_score generic_apply query rename _apply generic by_query _from_dataset BatchRetrieve TextScorer _mergeDicts BatchRetrieveBase _parse_index_like TextIndexProcessor FeaturesBatchRetrieve _function2wmodel importProps _matchop is_binary javabytebuffer2array new_callable_wmodel new_wmodel new_indexref logging setup_jnius setup_terrier redirect_stdouterr is_windows clear_cache ChestCacheTransformer init list_cache sizeof_fmt remove_prefix GeneratorLen msmarco_document_generate _datarepo_index_default_none _datarepo_index filter_on_qid_type find_datasets prel2qrel RemoteDataset get_dataset datasets passage_generate parse_desc_only irds_mirror _merge_years Dataset list_datasets IRDSDataset print_num_rows print_columns print_rows FilesIndexer _BaseIterDictIndexer TQDMSizeCollection treccollection2textgen PythonListIterator createCollection _IterDictIndexer_fifo _IterDictIndexer_nofifo Indexer _TaggedDocumentSetup IndexingType _FileDocumentSetup DFIndexer TQDMCollection run_autoclass DFIndexUtils TRECCollectionIndexer createAsList FlatJSONDocumentIterator finalized_open write_results _read_topics_singleline touch _write_results_minimal _write_results_letor read_results _finalized_open_base read_topics _read_results_trec read_qrels autoopen finalized_autoopen _read_topics_trecxml _write_results_trec _read_results_letor coerce_dataframe _read_topics_trec find_files ok_filename KeepFeatures RegressionTransformer AblateFeatures apply_learned_model FastRankEstimator score_to_feature feature_to_score ablate_features LTRTransformer keep_features downloadfile latest_version_num ranked_documents_to_queries coerce_queries_dataframe _last_query coerce_dataframe_types add_ranks split_df document_columns pop_queries push_queries query_columns queries ranked_documents empty_R empty_Q parallel_lambda _parallel_lambda_ray _pt_init _parallel_lambda_joblib PoolParallelTransformer _check_ray _joblib_with_initializer _restore_state KFoldGridSearch PerQueryMaxMinScoreTransformer _convert_measures _save_state Experiment _run_and_evaluate GridSearch _bold_cols GridScan _ir_measures_to_dict _color_cols AxiomaticQE _StashResults _ResetResults stash_results linear _check_terrier_prf reset_results DFRQueryExpansion reset Bo1QueryExpansion _LinearRewriteMix SDM RM3 SequentialDependence KLQueryExpansion QueryExpansion kmaxavg_passage _add_text_irds_docstore SlidingWindowPassager scorer slidingWindow DePassager MaxPassage FirstPassage KMaxAvgPassage max_passage MeanPassage sliding _add_text_terrier_metaindex mean_passage get_text first_passage snippets Transformer IterDictIndexerBase ApplyForEachQuery EstimatorBase is_transformer CombSumTransformer ApplyDocFeatureTransformer TransformerBase setup_rewrites BinaryTransformerBase SetIntersectionTransformer is_function ApplyQueryTransformer ComposedPipeline SetUnionTransformer ApplyTransformerBase FeatureUnionPipeline ScalarProductTransformer get_transformer NAryTransformerBase UniformTransformer SourceTransformer IdentityTransformer ApplyGenericTransformer ConcatenateTransformer Scalar is_lambda ApplyDocumentScoringTransformer RankCutoffTransformer Utils extend_classpath logging set_tqdm check_version started version init redirect_stdouterr set_property set_properties run TestUtils TempDirTestCase BaseTestCase TestCache TestBatchRetrieve parse_res_file parse_query_result TestCache TestDatasets TestDebug TestDFIndexer TestDunder TestExperiment TestFeaturesBatchRetrieve TestFilesIndexer TestFlash TestGrid TestIndexPipelines TestBackground TestIrDatasetsIntegration TestIterDictIndexer TestLTRPipeline TestMaven TestModel TestModel TestOperators TestParallel TestPickle TestOperators TestPool TestRewrite TestScoring TestText TestTopicsParsing TestTransformer TestTRECIndexer TestUtils dirname abspath splitlines startswith add_css_file get apply makedirs to_markdown list_datasets fix_width items BatchRetrieve list print get_dataset _alias_list zip append get_index to_markdown ReplacementRule get_classpath symbol dot RankCutoffTransformer Pattern append __class__ __get__ setattr __name__ PythonWmodelFunction update copy type issubclass isinstance autoclass join isinstance exists get_dataset get_index __name__ copy setLogLevel autoclass append loads _function2wmodel extend str latest_version_num downloadfile append split stdout setOut stderr setErr MyOut autoclass int min float log len join join listdir getmtime strftime init sum exists sizeof_fmt len rmtree init get_corpus get strip raise_for_status splitlines startswith append enumerate split get_corpus apply _get_one_file read_topics apply _get_one_file read_topics get_topics apply drop get_qrels read_csv merge astype _get_one_file append int range split _configure IRDSDataset list_datasets isnull get_dataset datasets append DataFrame autoclass items list loadCollections HashMap run_autoclass putAll createAsList _class split join list TQDMCollection nextDocument TQDMSizeCollection getDocument createCollection getProperty getNextTerm keys values len join list setProperty keys values items list setProperty str asList isinstance append DataFrame GeneratorType isinstance endswith append join walk format replace sep O_CREAT O_APPEND merge get_topics isinstance get_dataset astype read_csv drop coerce_dataframe insert to_csv to_csv fillna append DataFrame getQueryId hasNext trecquerysource next autoclass join parse text getTokeniser set getroot getTokens append iter append read_csv drop join remove replace print isfile expanduser download getElementsByTagName replace nodeValue parseString Series sort_values astype drop columns search set append compile columns set rename _last_query rename _last_query drop append DataFrame isinstance enumerate items list astype groupby list concat chunks ceil append len list range map len items list map from_iterable DataFrame range len hasattr _initializer init warn is_windows min max min max append parse_trec_measure extend isinstance get str value defaultdict result warn add measure float nunique query_id write_results timer rename DataFrame str _convert_measures read_results qid add update iter_calc transform_gen get coerce_dataframe_types set difference_update _ir_measures_to_dict enumerate remove isinstance tqdm transform warn get_loc round drop_duplicates DataFrame values list ttest_rel apply ceil append sort_values sum range replace insert copy multipletests parse_trec_topics_file merge pop items remove isinstance extend wilcoxon parse_qrels isfile array len append items list set_parameter _restore_state list remove transform isinstance _save_state print GridSearch concat copy append DataFrame range len str _restore_state isinstance _save_state print set_parameter GridScan update items list chunked parallel_lambda product isinstance warn get_parameter zip append chain _evaluate_one_setting enumerate get_classpath _add_text_irds_docstore isinstance of _add_text_terrier_metaindex autoclass getMetaIndex docs_cls docs_store irds_ref warn rename qid isinstance isinstance is_transformer is_lambda warn DataFrame is_function ReplacementRule FeatureUnionPipeline ComposedPipeline CustomConstraint symbol dot Pattern append plus nullary nullary nullary binary polyadic binary binary setup_jnius put str bootstrapInitialisation _logging redirect_stdouterr expanduser add_options set_tqdm setup_terrier getProperty _apply mkdir import_module is_windows print VERSION add_classpath autoclass pandas str Version replace bootstrapInitialisation items bootstrapInitialisation put main isinstance addDependencies getPlugin add cast | terrier-org/pyterrier | 3,840 |
tesseract-ocr/tesseract | ['optical character recognition'] | ['Adapting the Tesseract Open Source OCR Engine for Multilingual OCR'] | src/lstm/generate_lut.py | tesseract-ocr/tesseract | 3,841 |
testingautomated-usi/DeepJanus | ['autonomous driving'] | ['Model-based Exploration of the Frontier of Behaviours for Deep Learning System Testing'] | DeepJanus-UE/distance_calculator.py DeepJanus-UE/eye_input.py DeepJanus-BNG/self_driving/beamng_nvidia_runner.py DeepJanus-MNIST/predictor.py DeepJanus-BNG/core/ini_file.py DeepJanus-BNG/beamngpy/__init__.py DeepJanus-BNG/self_driving/beamng_brewer.py DeepJanus-BNG/core/seed_pool_access_strategy.py DeepJanus-BNG/beamngpy/beamng.py DeepJanus-UE/sikulix_scripts/unityeyes.sikuli/unityeyes.py DeepJanus-UE/predictor.py DeepJanus-BNG/self_driving/simulation_data.py DeepJanus-UE/parameters.py DeepJanus-MNIST/evaluator.py DeepJanus-BNG/core/individual.py DeepJanus-BNG/self_driving/beamng_individual_set_store.py DeepJanus-BNG/core/metrics.py DeepJanus-BNG/self_driving/beamng_waypoint.py DeepJanus-BNG/beamngpy/visualiser.py DeepJanus-MNIST/utils.py DeepJanus-BNG/core/log_setup.py DeepJanus-UE/main.py DeepJanus-BNG/udacity_integration/training_data_collector_and_writer.py DeepJanus-BNG/self_driving/beamng_road_visualizer.py experiments/evaluation_BEAMNG/curvature.py DeepJanus-BNG/core/member.py DeepJanus-BNG/self_driving/beamng_problem.py DeepJanus-MNIST/janus_pop_generator.py DeepJanus-BNG/self_driving/edit_distance_polyline.py DeepJanus-MNIST/archive_manager.py experiments/evaluation_BEAMNG/edit_distance_polyline.py DeepJanus-UE/evaluator.py DeepJanus-BNG/self_driving/oob_monitor.py DeepJanus-MNIST/mnist_cnn_training.py DeepJanus-BNG/core/archive_impl.py DeepJanus-BNG/core/seed_pool.py DeepJanus-BNG/self_driving/nvidia_prediction.py experiments/evaluation_BEAMNG/evaluation_curvature.py DeepJanus-BNG/core/config.py DeepJanus-UE/sikulix.py DeepJanus-UE/individual.py DeepJanus-UE/eye_mutator.py DeepJanus-BNG/core/folder_storage.py DeepJanus-UE/chromosome_properties.py DeepJanus-BNG/self_driving/beamng_tig_maps.py DeepJanus-BNG/self_driving/road_points.py DeepJanus-BNG/udacity_integration/training_dataset.py DeepJanus-BNG/beamngpy/tig_utils.py DeepJanus-UE/main_launcher.py DeepJanus-BNG/beamngpy/sensors.py DeepJanus-MNIST/timer.py DeepJanus-BNG/self_driving/beamng_road_imagery.py DeepJanus-MNIST/main.py DeepJanus-UE/server.py DeepJanus-BNG/self_driving/catmull_rom.py experiments/evaluation_DLF/evaluation_radius_DLF.py DeepJanus-UE/properties.py DeepJanus-BNG/core/archive.py DeepJanus-BNG/self_driving/beamng_config.py DeepJanus-BNG/udacity_integration/batch_generator.py DeepJanus-MNIST/rasterization_tools.py DeepJanus-BNG/self_driving/beamng_pose.py DeepJanus-BNG/udacity_integration/train-dataset-recorder-brewer.py DeepJanus-BNG/core/nsga2.py DeepJanus-UE/test.py DeepJanus-BNG/self_driving/vehicle_state_reader.py DeepJanus-BNG/self_driving/greedy_init.py DeepJanus-BNG/core/folders.py DeepJanus-BNG/self_driving/decal_road.py experiments/evaluation_DLF/exp-DLF-FSE/remover.py DeepJanus-BNG/self_driving/road_storage.py DeepJanus-BNG/beamngpy/beamngcommon.py DeepJanus-BNG/self_driving/road_bbox.py DeepJanus-MNIST/config.py DeepJanus-UE/utils.py DeepJanus-BNG/self_driving/road_polygon.py DeepJanus-MNIST/mnist_member.py DeepJanus-BNG/beamngpy/vehicle.py DeepJanus-BNG/self_driving/beamng_generate_seeds.py DeepJanus-BNG/udacity_integration/udacity_utils.py DeepJanus-MNIST/individual.py DeepJanus-BNG/beamngpy/scenario.py DeepJanus-BNG/self_driving/road_vehicle.py DeepJanus-BNG/self_driving/main_beamng_generate_seeds.py DeepJanus-MNIST/metrics.py DeepJanus-BNG/self_driving/simulation_data_collector.py DeepJanus-BNG/self_driving/main_beamng.py DeepJanus-MNIST/digit_mutator.py DeepJanus-MNIST/mutation_manager.py DeepJanus-BNG/udacity_integration/beamng_car_cameras.py experiments/evaluation_MNIST/ref_digit/reference_generator.py DeepJanus-BNG/core/seed_pool_impl.py DeepJanus-BNG/self_driving/road_generator.py DeepJanus-BNG/beamngpy/test.py DeepJanus-MNIST/folder.py experiments/evaluation_BEAMNG/evaluation_radius.py DeepJanus-BNG/self_driving/beamng_individual.py DeepJanus-BNG/core/misc.py DeepJanus-UE/archive_manager.py DeepJanus-BNG/udacity_integration/train-from-recordings.py DeepJanus-BNG/self_driving/beamng_evaluator.py DeepJanus-BNG/self_driving/utils.py DeepJanus-UE/similarity_charts.py DeepJanus-BNG/self_driving/beamng_member.py experiments/evaluation_MNIST/evaluate_radius.py DeepJanus-MNIST/ref_digit/reference_generator.py DeepJanus-MNIST/vectorization_tools.py DeepJanus-BNG/core/problem.py log_exception updating BeamNGpy setup_logging Config send_msg get_default ensure_config recv_msg ack BNGError BNGValueError StaticObject ProceduralBump ProceduralCone ProceduralCube ProceduralRing Scenario ProceduralCylinder compute_rotation_matrix ProceduralMesh Road ScenarioObject Damage Lidar GForces Camera Timer Electrics Sensor TestOracle BeamNGTest close_quietly exec_quietly Vehicle LidarVisualiser resize IndividualSet Archive SmartArchive GreedyArchive SlowArchive RewardSparsenessArchive PopArchive Config Folders SeedStorage FolderStorage Individual IniFile LogSetup get_logger Member get_radius_seed get_diameter closest_elements evaluate_sparseness TestUtils closest_indexes delete_folder_recursively main Problem SeedPool SeedPoolAccessStrategy SeedPoolFolder SeedPoolRandom SeedPoolMnist DecalRoad BeamNGCamera BeamNGBrewer BeamNGConfig BeamNGEvaluator BeamNGIndividual _BeamNGIndividualSimpleStore _BeamNGIndividualCompositeMembersStore BeamNGIndividualSetStore _BeamNGIndividualStore RoadMutator BeamNGMember BeamNGNvidiaOob BeamNGPose BeamNGProblem BeamNGRoadImagery main plot_road create_if_not_exists plot_road_bbox plot_road_polygon LevelsFolder BeamNGMainFolder Maps MapFolder BeamNGWaypoint catmull_rom_2d plot_catmull_rom catmull_rom_spline catmull_rom_chain catmull_rom TestDist _calc_cost_weighted _calc_dist_angle iterative_levenshtein _calc_cost_discrete _iterative_levenshtein_dist_angle _calc_angle_distance get_spine get_min_distance_from_set NvidiaPrediction OutOfBoundsMonitor RoadBoundingBox RoadGenerator distance RoadPoints RoadPolygon RoadStorage RoadVehicle SimulationData SimulationInfo SimulationDataCollector points_distance get_node_coords VehicleStateReader Generator BeamNGCarCameras distance calculate_script run_sim get_script_point get_rotation train_model build_model load_data main s2b TrainingDataset TrainingDataCollectorAndWriter choose_image random_translate rgb2yuv batch_generator random_flip random_shadow random_brightness preprocess resize load_image augment crop Archive DigitMutator eval_archive_dist evaluate_ff2 dist_from_nearest_archived evaluate_sparseness eval_dist_individuals evaluate_aggregate_ff evaluate_ff1 Folder Individual generate get_min_distance_from_set calculate_dist generate_digit reseed_individual generate_individual evaluate_individual mutate_individual pre_evaluate_batch main ind_from_seed get_mindist_seed get_diameter get_radius_reference MnistMember mutate apply_displacement apply_mutoperator1 apply_displacement_to_mutant generate apply_operator1 apply_operator2 apply_mutoperator2 Predictor rasterize_in_memory Timer get_distance print_archive_experiment reshape print_archive input_reshape create_svg_xml preprocess vectorize createSVGpath input_reshape Archive extract_chromosome_params calc_angle_distance calc_iris_txtr_distance calc_distance_total normalise calc_skin_txtr_distance calc_norm_cont_distance find_closest_indv calc_skybox_txtr_distance eval_archive_dist evaluate_ff2 dist_from_nearest_archived evaluate_sparseness evaluate_misb eval_dist_individuals evaluate_aggregate_ff evaluate_ff1 is_misb Eye EyeMutator Individual reseed_individual generate_individual evaluate_individual mutate_individual generate_sample main pre_evaluate_batch fetch_seed Predictor set_sikulix_scripts_home run_sikulix_script run_sikulix start_sikulix_server mutate_integer_parameter get_chromosome_property fetch_label_from_json renamedir_loop rename_generated_imgs_folder get_chromosome_property_triple mutate_circular_parameter get_json_data makedir_loop handleRemoveReadonly update_jsons_with_angles print_archive mutate_categorical_parameter mutate_continuous_parameter findCircle _calc_cost_weighted _calc_dist_angle iterative_levenshtein _calc_cost_discrete _iterative_levenshtein_dist_angle _calc_angle_distance create_csv_results_file_header create_csv_results_file writeCsvLine get_radius_edit_straight create_csv_results_file_header create_csv_results_file writeCsvLine reshape create_csv_results_file_header create_csv_results_file writeCsvLine Individual euclidean_distance get_radius_reference create_csv_results_file_header create_csv_results_file writeCsvLine euclidean_distance get_radius_reference input_reshape exception basicConfig format move StreamHandler info append exists FileHandler Config load debug get_default save format bytes packb send len int recv str bytearray min extend unpackb format reshape strip cos matmul sin array close command glViewport seed list mean distance append list mean distance append float str print rmtree sleep range exists argsort list argsort list config individual record on_iteration stream selNSGA2 register max seed create deap_evaluate_individual deap_individual_class selTournamentDCD pre_evaluate_members reseed Statistics Toolbox map select Logbook range Fitness mean info zip NUM_GENERATIONS population deap_generate_individual compile process_population mutate evaluate deap_mutate_individual print min POPSIZE std initRepeat len from_dict SeedStorage load_json_by_index with_suffix sample_nodes save from_sample_nodes get_path_by_index makedirs set_aspect show plot add_subplot margins axis set_ticks xy figure fill set_aspect create_if_not_exists list join show plot add_subplot margins axis set_ticks xy polygons title savefig figure zip fill enumerate road_bbox from_nodes plot_road_bbox sample_nodes plot_road_polygon list reshape map tj linspace array len extend delete catmull_rom_spline range len catmull_rom_chain catmull_rom_chain show list plot zip subtract abs subtract abs _calc_cost min range len arctan2 vector norm degrees _calc_angle_distance range len _calc_dist_angle get_spine list sort iterative_levenshtein append subtract degrees arctan2 subtract norm array append len get_node_coords calculate_script setup_scenario_camera setup_road_nodes nodes BeamNGCarCameras bring_up vehicle_start_pose middle start ai_set_script print BeamNGBrewer pause TrainingDataCollectorAndWriter write_items setup_vehicle BeamNGWaypoint to_json step beamng join str concatenate print apply empty train_test_split listdir array read_csv values len keep_prob Lambda Sequential add Dense summary Conv2D Flatten Dropout Generator fit_generator ModelCheckpoint compile makedirs lower train_model items list format build_model add_argument load_data ArgumentParser parse_args join format rgb2yuv crop resize choice flip warpAffine rand float32 cvtColor uniform COLOR_RGB2HLS zeros_like COLOR_RGB2HSV rand cvtColor choose_image random_translate random_flip random_shadow random_brightness permutation preprocess load_image augment empty get_distance list print sort mean distance append dist_from_nearest_archived len minimum mean get_distance purified mean get_distance purified str join strftime makedirs set calculate_dist intersect1d str list load_model predict_classes tolist len append range setdiff1d get_min_distance_from_set close choice item input_reshape print File argwhere create_dataset makedirs vectorize generate_digit mutate clone Individual generate add ind_from_seed choice ind_from_seed choice evaluate reset mutate getrandbits reshape predict zip reseed_individual randrange COUNT str SEEDS create_report update_archive archive_candidate archived_seeds pre_evaluate_batch list norm reshape purified mean append list norm purified mean append norm purified float uniform group apply_displacement_to_mutant findall randint next finditer compile len print group apply_displacement_to_mutant findall randint next finditer compile len get apply_mutoperator1 fromstring apply_mutoperator2 get fromstring apply_operator2 apply_operator1 float uniform apply_displacement group findall randint next finditer compile len apply_displacement print group findall randint next finditer compile len print load_model new_from_data ndarray reshape FORMAT_A8 get_data render_cairo encode ImageSurface Context now seed join str basename reshape DST_ARC purified predicted_label save imsave enumerate makedirs m2 m1 id export enumerate expand_dims astype reshape astype copy str is_corner str SubElement Element set tostring getroot ElementTree preprocess trace createSVGpath Bitmap int float eval iris_txtr_dist cos sqrt sin acos clip extract_chromosome_params calc_angle_distance calc_iris_txtr_distance normalise calc_skin_txtr_distance calc_norm_cont_distance calc_skybox_txtr_distance load clear inf glob calc_distance_total set append open calc_distance_total calc_angle_distance abs degrees eval_dist_individuals calc_distance_total model_params calc_angle_distance eye_angles_rad abs degrees calc_distance_total model_params is_misb set splitext fetch_seed mutate print generate_sample exit clone Individual mutate generate_sample clone Individual array misbehaviour print run get print system run_sikulix_script get str replace _content eye_angle_1 img_np camera_angle_2 eye_angle_2 camera_angle_1 split is_misb radians float getattr append getattr remove getattr copy choice uniform clip get_chromosome_property_triple randint clip get_chromosome_property_triple randint get_chromosome_property_triple glob get_json_data str chmod S_IRWXO func S_IRWXG S_IRWXU renamedir_loop int join str replace glob makedir_loop copyfile rmtree update_jsons_with_angles abspath exists len mkdir rename pow round sqrt exists open create_csv_results_file create_csv_results_file_header append iterative_levenshtein list mean norm euclidean_distance | testingautomated-usi/DeepJanus | 3,842 |
text-machine-lab/HierarchicalTransformer | ['machine translation'] | ['Injecting Hierarchy with U-Net Transformers'] | transformer/Models.py model/gen_human_eval.py ubuntu_preprocess.py calc_ds_stats.py model/eval.py model/utils/vocab.py transformer/Beam.py model/utils/bow.py transformer/Layers.py model/utils/tensorboard.py matts_preprocess.py model/train.py model/layers/decoder.py train.py cornell_preprocess.py model/utils/mask.py transformer/SubLayers.py transformer/Constants.py model/utils/embedding_metric.py model/utils/tokenizer.py transformer/Translator.py model/layers/encoder.py transformer/Optim.py model/layers/loss.py twitter_conv_corp.py model/layers/feedforward.py preprocess.py model/test.py model/score_human_eval.py model/utils/convert.py model/solver.py model/layers/rnncells.py translate.py model/layers/beam_search.py model/utils/time_track.py model/configs.py model/layers/__init__.py transformer/__init__.py model/utils/__init__.py model/models.py translation_dataset.py model/data_loader.py model/utils/pad.py model/utils/probability.py transformer/Modules.py model/eval_embed.py personachat_preprocess.py model/automatic_evaluation.py prepare_cornell_data tokenize_conversation loadConversations pad_sentences loadLines _tokenize_conversation train_valid_test_split_by_conversation to_pickle get_history_response main create_dialogues get_line create_dialogues main build_vocab_idx read_instances_from_file convert_instance_to_idx_seq main convert_idx_seq_to_instance cal_performance train_epoch cal_loss prepare_dataloaders main train eval_epoch main collate_fn TranslationDataset paired_collate_fn clean_utterance TwitterConversationCorpusConverter get_dialog_path_list pad_sentences prepare_ubuntu_data _tokenize_conversation to_pickle read_and_tokenize Config get_config str2bool DialogDataset get_loader load_pickle load_pickle compare_model_examples load_examples shuffle_tuple extract_examples_per_model VHCR MULTI VHRED HRED add_sos get_gpu_memory_used VariationalSolver extract_history_response MyDataParallel Solver load_pickle Beam DecoderRNN BaseRNNDecoder BaseRNNEncoder EncoderRNN ContextRNN FeedForward masked_cross_entropy StackedGRUCell StackedLSTMCell to_bow bag_of_words_loss cosine_similarity embedding_metric sequence_mask push_zeros_right pad calc_pos pad_and_pack normal_kl_div normal_logpdf time_desc_decorator base_time_desc_decorator time_test no_arg_method Tokenizer clean_str Vocab Beam DecoderLayer UNetEncoderLayer EncoderLayer Transformer get_attn_key_pad_mask MultiHeadAttentionGRUDecoder UNetEncoder get_subsequent_mask get_sinusoid_encoding_table Decoder Encoder GRUEncoder batched_index_select get_non_pad_mask get_attn_mask MultiModel ScaledDotProductAttention ScheduledOptim MultiHeadAttention PositionwiseFeedForward Translator urlretrieve print extractall close joinpath rename mkdir ZipFile seed int print shuffle len append pad_conversation join isdigit list replace text lower find_all append list set_trace create_dialogues join format add_argument dict dataset_filename max_history_tokens getattr mkdir output_dir ArgumentParser vars parse_args type len vocab_size open seed add_dataframe exit Vocab sum update dump train_split format_for_dialogue shuffle dataset_dir int print makedirs max_sentence_tokens pickle print format len items list format print set len join save build_vocab_idx convert_idx_seq_to_instance list max_word_seq_len test_tgt keep_case convert_instance_to_idx_seq train_tgt valid_tgt range valid_src vocab save_data train_src min_word_count read_instances_from_file zip load test_src min share_vocab ne view cal_loss eq item PAD ne view log_softmax size scatter sum PAD cross_entropy ne backward model add_scalar cal_performance zero_grad step_and_update_lr tqdm item train PAD enumerate len eval add_scalar time format save_model epoch print train_epoch save float range log eval_epoch state_dict data prepare_dataloaders device embs_share_weight str max_token_seq_len exp Adam ScheduledOptim d_model to SummaryWriter tgt_vocab_size src_vocab_size eval_epoch n_warmup_steps now train DataLoader TranslationDataset src Translator DataLoader TranslationDataset list collate_fn zip max LongTensor array join word_tokenize strip print joinpath urlretrieve mkdir update add_argument ArgumentParser vars parse_args DataLoader DialogDataset append read split print str remove index cat expand device_count range list to_var LongTensor zip max sequence_mask view log_softmax size float sum zeros list Counter values log_softmax view sqrt sum max T min matmul absolute mean sqrt logical_not zip append sum array max to_var size expand expand_as long to long expand device squeeze unsqueeze device to cat isinstance stack max to_var FloatTensor to_var FloatTensor print sleep print sub shape list expand size byte expand array cos sin bool size eq PAD triu size ones expand | text-machine-lab/HierarchicalTransformer | 3,843 |
tfzhou/C-HOI | ['human object interaction detection'] | ['Cascaded Human-Object Interaction Recognition'] | mmdet/models/backbones/senet.py mmdet/models/roi_extractors/__init__.py configs/guided_anchoring/ga_rpn_r50_caffe_fpn_1x.py mmdet/core/utils/misc.py mmdet/models/detectors/__init__.py mmdet/core/evaluation/coco_utils_pic.py mmdet/models/mask_heads/fcn_mask_head.py configs/libra_rcnn/libra_faster_rcnn_r50_fpn_1x.py mmdet/models/detectors/fcos.py mmdet/core/utils/dist_utils.py configs/scratch/scratch_mask_rcnn_r50_fpn_gn_6x.py configs/fcos/fcos_mstrain_640_800_r101_caffe_fpn_gn_2x_4gpu.py configs/htc/htc_without_semantic_r50_fpn_1x.py mmdet/models/utils/conv_ws.py mmdet/models/losses/accuracy.py configs/gn+ws/mask_rcnn_x101_32x4d_fpn_gn_ws_2x.py mmdet/models/mask_heads/grid_head.py configs/dcn/faster_rcnn_mdconv_c3-c5_r50_fpn_1x.py mmdet/models/detectors/single_stage.py tools/voc_eval.py configs/gn+ws/mask_rcnn_r50_fpn_gn_ws_2x.py configs/ms_rcnn/ms_rcnn_r50_caffe_fpn_1x.py mmdet/datasets/__init__.py configs/fast_rcnn_r101_fpn_1x.py configs/faster_rcnn_r50_caffe_c4_1x.py tools/test.py configs/vg/cascade_rcnn_x101_64x4d_fpn_1x.py mmdet/core/utils/boxes_rel.py mmdet/datasets/cityscapes.py mmdet/models/rel_heads/__init__.py configs/wider_face/ssd300_wider_face.py mmdet/core/post_processing/merge_augs.py configs/dcn/faster_rcnn_dconv_c3-c5_r50_fpn_1x.py mmdet/models/detectors/grid_rcnn.py configs/pascal_voc/faster_rcnn_r50_fpn_1x_voc0712.py mmdet/models/utils/weight_init.py mmdet/models/anchor_heads/ssd_head.py mmdet/models/utils/__init__.py mmdet/datasets/hoiw.py mmdet/core/bbox/assign_sampling.py configs/fast_mask_rcnn_r101_fpn_1x.py mmdet/models/backbones/hrnet.py mmdet/datasets/vg.py mmdet/models/plugins/generalized_attention.py configs/cascade_mask_rcnn_x101_32x4d_fpn_1x.py mmdet/datasets/utils.py tools/convert_model.py configs/gcnet/mask_rcnn_r50_fpn_sbn_1x.py mmdet/models/losses/utils.py configs/htc/htc_dconv_c3-c5_mstrain_400_1400_x101_64x4d_fpn_20e.py mmdet/models/mask_heads/htc_mask_head.py mmdet/models/losses/iou_loss.py configs/cascade_mask_rcnn_r101_fpn_1x.py configs/faster_rcnn_r101_fpn_1x.py mmdet/ops/dcn/deform_conv.py configs/empirical_attention/faster_rcnn_r50_fpn_attention_1111_dcn_1x.py mmdet/datasets/registry.py mmdet/models/detectors/ensemble_cascade_rcnn.py mmdet/core/bbox/assigners/approx_max_iou_assigner.py configs/rpn_x101_32x4d_fpn_1x.py mmdet/models/necks/__init__.py configs/retinanet_x101_64x4d_fpn_1x.py mmdet/models/losses/__init__.py mmdet/models/anchor_heads/anchor_head.py mmdet/models/anchor_heads/rpn_head.py mmdet/models/__init__.py mmdet/ops/dcn/deform_pool.py configs/fp16/faster_rcnn_r50_fpn_fp16_1x.py configs/fast_mask_rcnn_r50_fpn_1x.py tools/upgrade_model_version.py mmdet/apis/env.py mmdet/core/fp16/decorators.py configs/mask_rcnn_r50_caffe_c4_1x.py mmdet/core/rel/__init__.py configs/dcn/faster_rcnn_dpool_r50_fpn_1x.py configs/libra_rcnn/libra_faster_rcnn_x101_64x4d_fpn_1x.py mmdet/models/losses/rel_loss.py mmdet/models/utils/scale.py tools/analyze_logs.py configs/fast_mask_rcnn_r50_caffe_c4_1x.py mmdet/core/utils/__init__.py configs/htc/htc_r50_fpn_20e.py tools/test_pic.py configs/gn/mask_rcnn_r101_fpn_gn_2x.py mmdet/core/mask/utils.py mmdet/models/anchor_heads/__init__.py mmdet/models/utils/conv_module.py mmdet/models/losses/mse_loss.py configs/cascade_rcnn_r101_fpn_1x.py mmdet/models/necks/hrfpn.py configs/ms_rcnn/ms_rcnn_r101_caffe_fpn_1x.py configs/scratch/scratch_faster_rcnn_r50_fpn_gn_6x.py mmdet/datasets/loader/__init__.py mmdet/ops/nms/__init__.py configs/libra_rcnn/libra_fast_rcnn_r50_fpn_1x.py configs/dcn/cascade_mask_rcnn_dconv_c3-c5_r50_fpn_1x.py configs/faster_rcnn_x101_64x4d_fpn_1x.py configs/hrnet/faster_rcnn_hrnetv2p_w18_1x.py mmdet/ops/roi_align/roi_align.py configs/pascal_voc/ssd300_voc.py mmdet/models/bbox_heads/convfc_bbox_head.py mmdet/models/detectors/mask_rcnn.py tools/convert_datasets/pascal_voc.py mmdet/core/evaluation/class_names.py mmdet/core/anchor/anchor_target.py mmdet/core/bbox/samplers/instance_balanced_pos_sampler.py configs/cascade_rcnn_x101_32x4d_fpn_1x.py configs/fast_rcnn_r50_caffe_c4_1x.py mmdet/core/fp16/__init__.py mmdet/models/anchor_heads/ga_rpn_head.py mmdet/models/detectors/cascade_rcnn.py configs/mask_rcnn_r50_fpn_1x.py mmdet/datasets/extra_aug.py configs/htc/htc_r101_fpn_20e.py mmdet/models/detectors/rpn.py configs/empirical_attention/faster_rcnn_r50_fpn_attention_0010_1x.py mmdet/models/necks/bfp.py mmdet/models/rel_heads/get_dataset_counts_rel.py configs/hrnet/mask_rcnn_hrnetv2p_w18_1x.py configs/ssd300_coco.py tools/test_robustness.py configs/dcn/mask_rcnn_dconv_c3-c5_r50_fpn_1x.py configs/ghm/retinanet_ghm_r50_fpn_1x.py mmdet/models/backbones/__init__.py configs/retinanet_r101_fpn_1x.py mmdet/ops/nms/nms_wrapper.py configs/cascade_mask_rcnn_r50_fpn_1x.py configs/cityscapes/mask_rcnn_r50_fpn_1x_cityscapes.py mmdet/apis/__init__.py configs/fp16/mask_rcnn_r50_fpn_fp16_1x.py mmdet/core/evaluation/mean_ap.py mmdet/datasets/dataset_wrappers.py configs/retinanet_r50_fpn_1x.py mmdet/models/rel_heads/reldn_head.py configs/gn+ws/mask_rcnn_r50_fpn_gn_ws_20_23_24e.py mmdet/models/losses/ghm_loss.py configs/guided_anchoring/ga_rpn_x101_32x4d_fpn_1x.py configs/mask_rcnn_r101_fpn_1x.py mmdet/models/detectors/mask_scoring_rcnn.py mmdet/core/bbox/samplers/__init__.py configs/empirical_attention/faster_rcnn_r50_fpn_attention_0010_dcn_1x.py mmdet/models/detectors/htc_rel_cvpr.py mmdet/core/bbox/samplers/combined_sampler.py mmdet/models/rel_heads/reldn_head_binary.py mmdet/models/detectors/htc_rel.py mmdet/ops/roi_pool/gradcheck.py configs/double_heads/dh_faster_rcnn_r50_fpn_1x.py mmdet/models/plugins/non_local.py mmdet/core/fp16/utils.py mmdet/datasets/loader/sampler.py mmdet/models/mask_heads/maskiou_head.py tools/detectron2pytorch.py mmdet/models/detectors/test_mixins.py mmdet/core/evaluation/__init__.py tools/convert_hoiw_anno_to_vg_format.py mmdet/ops/masked_conv/__init__.py configs/faster_rcnn_x101_32x4d_fpn_1x.py mmdet/core/rel/eval_rel.py mmdet/core/bbox/samplers/pseudo_sampler.py configs/dcn/cascade_rcnn_dconv_c3-c5_r50_fpn_1x.py mmdet/core/post_processing/bbox_nms.py mmdet/models/detectors/double_head_rcnn.py configs/gn/mask_rcnn_r50_fpn_gn_contrib_2x.py configs/fcos/fcos_mstrain_640_800_x101_64x4d_fpn_gn_2x.py configs/gn+ws/faster_rcnn_r50_fpn_gn_ws_1x.py configs/fcos/fcos_r50_caffe_fpn_gn_1x_4gpu.py mmdet/datasets/builder.py configs/hrnet/faster_rcnn_hrnetv2p_w40_1x.py mmdet/core/bbox/geometry.py mmdet/models/detectors/cascade_rcnn_rel.py setup.py mmdet/models/bbox_heads/double_bbox_head.py configs/faster_rcnn_r50_fpn_1x.py mmdet/utils/__init__.py mmdet/models/losses/balanced_l1_loss.py configs/cascade_rcnn_r50_fpn_1x.py mmdet/core/bbox/assigners/rel_max_iou_assigner.py mmdet/models/losses/focal_loss.py configs/mask_rcnn_x101_64x4d_fpn_1x.py mmdet/core/evaluation/recall.py configs/dcn/faster_rcnn_mdpool_r50_fpn_1x.py mmdet/core/__init__.py mmdet/models/mask_heads/fused_semantic_head_deform.py configs/vg/faster_rcnn_x101_64x4d_fpn_1x.py configs/guided_anchoring/ga_retinanet_r50_caffe_fpn_1x.py mmdet/models/backbones/resnext.py mmdet/models/mask_heads/fused_semantic_head.py mmdet/ops/__init__.py configs/guided_anchoring/ga_faster_r50_caffe_fpn_1x.py mmdet/models/anchor_heads/fcos_head.py configs/libra_rcnn/libra_faster_rcnn_r101_fpn_1x.py mmdet/core/bbox/samplers/base_sampler.py configs/pascal_voc/ssd512_voc.py configs/fast_rcnn_r50_fpn_1x.py configs/guided_anchoring/ga_rpn_r101_caffe_rpn_1x.py mmdet/ops/roi_align/__init__.py mmdet/core/bbox/transforms.py mmdet/ops/roi_align/gradcheck.py mmdet/core/bbox/assigners/max_iou_assigner.py mmdet/models/anchor_heads/retina_head.py mmdet/models/detectors/faster_rcnn.py configs/rpn_r50_caffe_c4_1x.py mmdet/version.py configs/libra_rcnn/libra_retinanet_r50_fpn_1x.py mmdet/models/roi_extractors/single_level.py mmdet/ops/sigmoid_focal_loss/sigmoid_focal_loss.py mmdet/core/anchor/__init__.py mmdet/ops/sigmoid_focal_loss/__init__.py tools/convert_pic_anno_to_vg_format.py mmdet/core/anchor/anchor_generator.py mmdet/core/mask/mask_target.py mmdet/core/rel/rel_sample.py mmdet/ops/masked_conv/masked_conv.py configs/rpn_r101_fpn_1x.py mmdet/core/post_processing/__init__.py mmdet/models/detectors/base.py mmdet/core/bbox/samplers/ohem_sampler.py mmdet/datasets/custom.py mmdet/datasets/wider_face.py mmdet/core/evaluation/bbox_overlaps.py mmdet/ops/roi_pool/roi_pool.py tools/eval_pic_v2.0.py mmdet/models/backbones/resnet.py mmdet/core/bbox/samplers/random_sampler.py mmdet/models/mask_heads/__init__.py mmdet/ops/dcn/__init__.py tools/coco_eval.py mmdet/datasets/transforms.py configs/guided_anchoring/ga_faster_x101_32x4d_fpn_1x.py configs/hrnet/mask_rcnn_hrnetv2p_w32_1x.py configs/gcnet/mask_rcnn_r4_gcb_c3-c5_r50_fpn_syncbn_1x.py mmdet/__init__.py configs/hoiw/cascade_rcnn_x101_64x4d_fpn_1x_4gpu_rel.py configs/gcnet/mask_rcnn_r16_gcb_c3-c5_r50_fpn_1x.py configs/grid_rcnn/grid_rcnn_gn_head_x101_32x4d_fpn_2x.py mmdet/core/bbox/bbox_target.py mmdet/models/backbones/ssd_vgg.py mmdet/ops/context_block.py mmdet/core/bbox/assigners/__init__.py configs/gcnet/mask_rcnn_r16_gcb_c3-c5_r50_fpn_syncbn_1x.py mmdet/core/bbox/assigners/base_assigner.py mmdet/core/evaluation/eval_hooks.py mmdet/models/shared_heads/res_layer.py mmdet/core/bbox/assigners/assign_result.py configs/cascade_rcnn_r50_caffe_c4_1x.py mmdet/datasets/pic_v20.py mmdet/core/evaluation/coco_utils.py configs/gn/mask_rcnn_r50_fpn_gn_2x.py mmdet/models/builder.py mmdet/datasets/loader/build_loader.py mmdet/core/bbox/samplers/iou_balanced_neg_sampler.py tools/test_hoiw.py mmdet/models/registry.py mmdet/core/bbox/samplers/sampling_result.py mmdet/models/utils/norm.py configs/hrnet/cascade_rcnn_hrnetv2p_w32_20e.py configs/rpn_x101_64x4d_fpn_1x.py configs/dcn/faster_rcnn_dconv_c3-c5_x101_32x4d_fpn_1x.py tools/robustness_eval.py configs/mask_rcnn_x101_32x4d_fpn_1x.py mmdet/models/bbox_heads/__init__.py configs/htc/htc_x101_64x4d_fpn_20e_16gpu.py mmdet/models/detectors/htc.py mmdet/models/plugins/__init__.py configs/cascade_rcnn_x101_64x4d_fpn_1x.py mmdet/models/anchor_heads/guided_anchor_head.py configs/rpn_r50_fpn_1x.py mmdet/apis/inference.py configs/gcnet/mask_rcnn_r4_gcb_c3-c5_r50_fpn_1x.py configs/cascade_mask_rcnn_x101_64x4d_fpn_1x.py mmdet/core/fp16/hooks.py configs/pic_v2.0/htc_rel_dconv_c3-c5_mstrain_400_1400_x101_64x4d_fpn_20e_train_rel_dcn_semantichead.py mmdet/models/anchor_heads/ga_retina_head.py configs/htc/htc_x101_32x4d_fpn_20e_16gpu.py configs/empirical_attention/faster_rcnn_r50_fpn_attention_1111_1x.py mmdet/models/detectors/fast_rcnn.py configs/hoiw/cascade_rcnn_r50_fpn_1x_rel.py tools/publish_model.py configs/cascade_mask_rcnn_r50_caffe_c4_1x.py mmdet/models/bbox_heads/bbox_head.py mmdet/ops/roi_pool/__init__.py configs/guided_anchoring/ga_fast_r50_caffe_fpn_1x.py mmdet/models/detectors/ensemble_htc.py tools/train.py mmdet/models/detectors/retinanet.py mmdet/models/losses/cross_entropy_loss.py mmdet/models/losses/smooth_l1_loss.py mmdet/datasets/voc.py configs/cityscapes/faster_rcnn_r50_fpn_1x_cityscapes.py mmdet/models/mask_heads/fused_semantic_head_minideeplab.py configs/faster_rcnn_ohem_r50_fpn_1x.py mmdet/models/necks/fpn.py mmdet/datasets/xml_style.py mmdet/datasets/coco.py configs/ssd512_coco.py mmdet/models/detectors/two_stage.py mmdet/models/rel_heads/sparse_targets_rel.py configs/grid_rcnn/grid_rcnn_gn_head_r50_fpn_2x.py mmdet/core/mask/__init__.py configs/guided_anchoring/ga_retinanet_x101_32x4d_fpn_1x.py configs/retinanet_x101_32x4d_fpn_1x.py mmdet/utils/registry.py mmdet/core/rel/pic_eval.py mmdet/core/anchor/guided_anchor_target.py mmdet/core/bbox/__init__.py configs/hrnet/faster_rcnn_hrnetv2p_w32_1x.py configs/ms_rcnn/ms_rcnn_x101_64x4d_fpn_1x.py mmdet/apis/train.py configs/fp16/retinanet_r50_fpn_fp16_1x.py mmdet/models/shared_heads/__init__.py make_cuda_ext write_version_py readme get_version get_git_hash get_hash make_cython_ext _init_dist_pytorch _init_dist_slurm init_dist set_random_seed get_root_logger _init_dist_mpi _inference_generator show_result inference_detector _prepare_data init_detector _inference_single _dist_train build_optimizer batch_processor _non_dist_train train_detector parse_losses AnchorGenerator anchor_target unmap anchor_inside_flags images_to_levels anchor_target_single ga_loc_target ga_shape_target_single calc_region images_to_levels ga_shape_target assign_and_sample build_assigner build_sampler bbox_target_single expand_target bbox_target bbox_union bbox_overlaps delta2bbox roi2bbox bbox_flip bbox2c distance2bbox bbox2delta bbox_mapping bbox2result bbox_mapping_back bbox2roi ApproxMaxIoUAssigner AssignResult BaseAssigner MaxIoUAssigner RelMaxIoUAssigner BaseSampler CombinedSampler InstanceBalancedPosSampler IoUBalancedNegSampler OHEMSampler PseudoSampler RandomSampler SamplingResult bbox_overlaps get_classes imagenet_vid_classes voc_classes imagenet_det_classes coco_classes cityscapes_classes wider_face_classes pic_classes coco_eval segm2json proposal2json fast_eval_recall xyxy2xywh results2json det2json coco_eval_pic segm2json proposal2json fast_eval_recall xyxy2xywh results2json det2json CocoDistEvalRecallHook DistEvalmAPHook DistEvalHook CocoDistEvalmAPHook eval_map tpfp_imagenet print_map_summary average_precision get_cls_results tpfp_default plot_iou_recall set_recall_param print_recall_summary _recalls eval_recalls plot_num_recall force_fp32 auto_fp16 Fp16OptimizerHook wrap_fp16_model patch_forward_method patch_norm_fp32 cast_tensor_type mask_target mask_target_single split_combined_polys multiclass_nms merge_aug_scores merge_aug_masks merge_aug_bboxes merge_aug_proposals pic_eval eval_impl intersect_2d evaluate_from_dict triplet compute_iou sample_pairs get_spatial_feature get_pair_feature assign_pairs y1y2x1x2_to_x1y1x2y2 get_box_feature xywh_x1y1x2y2 boxes_intersect get_pair_feature get_spt_features rois_union boxes_union rois_intersect DistOptimizerHook allreduce_grads _allreduce_coalesced unmap tensor2imgs multi_apply build_dataset _concat_dataset CityscapesDataset CocoDataset CustomDataset RepeatDataset ConcatDataset PhotoMetricDistortion Expand RandomCrop ExtraAugmentation HoiwDataset PicDatasetV20 ImageTransform SegMapTransform MaskTransform bbox_flip Numpy2Tensor BboxTransform to_tensor random_scale show_ann VisualGenomeDataset VOCDataset WIDERFaceDataset XMLDataset build_dataloader GroupSampler DistributedSampler DistributedGroupSampler build_shared_head build_detector build_loss build build_backbone build_roi_extractor build_head build_neck AnchorHead FCOSHead GARetinaHead GARPNHead FeatureAdaption GuidedAnchorHead RetinaHead RPNHead SSDHead HRModule HRNet ResNet BasicBlock make_res_layer Bottleneck ResNeXt make_res_layer Bottleneck SENet SEResNetBottleneck SEBottleneck SEResNeXtBottleneck Bottleneck _freeze_stages train SEModule SSDVGG L2Norm BBoxHead SharedFCBBoxHead ConvFCBBoxHead DoubleConvFCBBoxHead BasicResBlock BaseDetector CascadeRCNN CascadeRCNNRel SelfAttention DoubleHeadRCNN EnsembleCascadeRCNN EnsembleHTC FasterRCNN FastRCNN FCOS GridRCNN HybridTaskCascade HybridTaskCascadeRel HybridTaskCascadeRelCVPR MaskRCNN MaskScoringRCNN RetinaNet RPN SingleStageDetector MaskTestMixin BBoxTestMixin RPNTestMixin TwoStageDetector Accuracy recall_topk accuracy BalancedL1Loss balanced_l1_loss binary_cross_entropy mask_cross_entropy _expand_binary_labels CrossEntropyLoss cross_entropy sigmoid_focal_loss py_sigmoid_focal_loss FocalLoss _expand_binary_labels GHMR GHMC bounded_iou_loss BoundedIoULoss iou_loss IoULoss MSELoss split_pos_neg_p_aware reldn_so_contrastive_losses split_pos_neg_spo_agnostic ReldnContrastiveLoss split_pos_neg_so_aware ReldnBCELoss reldn_contrastive_losses reldn_p_contrastive_losses smooth_l1_loss SmoothL1Loss weight_reduce_loss weighted_loss reduce_loss FCNMaskHead FusedSemanticHead FusedSemanticHead_DCN FusedSemanticHead GridHead HTCMaskHead MaskIoUHead BFP FPN HRFPN GeneralizedAttention NonLocal2D box_filter get_rel_counts ReldnHead ReldnHeadBinary FrequencyBias SingleRoIExtractor ResLayer ConvModule build_conv_layer conv_ws_2d ConvWS2d build_norm_layer Scale xavier_init bias_init_with_prob uniform_init normal_init kaiming_init last_zero_init ContextBlock DeformConvFunction ModulatedDeformConv DeformConvPack ModulatedDeformConvPack DeformConv ModulatedDeformConvFunction DeformRoIPoolingPack DeformRoIPoolingFunction ModulatedDeformRoIPoolingPack DeformRoIPooling MaskedConv2dFunction MaskedConv2d nms soft_nms RoIAlign RoIAlignFunction RoIPool RoIPoolFunction SigmoidFocalLoss SigmoidFocalLossFunction build_from_cfg Registry cal_train_time plot_curve load_json_logs main parse_args add_plot_parser add_time_parser main binary_mask_to_polygon convert close_contour binary_mask_to_polygon convert close_contour main convert convert_bn convert_conv_fc intersect_2d compute_bbox_iou compute_iou evaluate_from_dict PIC triplet convert_npy main main parse_args process_checkpoint get_distortions_from_results print_coco_results get_distortions_from_file get_coco_style_results get_voc_style_results get_results main multi_gpu_test single_gpu_test collect_results main parse_args multi_gpu_test single_gpu_test collect_results main parse_args multi_gpu_test single_gpu_test collect_results main parse_args voc_eval_with_return single_gpu_test collect_results coco_eval_with_return main multi_gpu_test parse_args main parse_args main convert main voc_eval main cvt_annotations parse_xml parse_args decode _minimal_ext_cmd exists get_hash cythonize Extension format _init_dist_mpi set_start_method _init_dist_slurm _init_dist_pytorch int set_device init_process_group device_count int str format init_process_group set_device device_count getoutput seed manual_seed_all manual_seed basicConfig setLevel get_dist_info getLogger get_classes isinstance model load_checkpoint warn eval build_detector fromfile to cfg ImageTransform device shape unsqueeze img_transform _prepare_data imread cfg bool concat_list isinstance concatenate imshow_det_bboxes astype copy vstack randint imread items list isinstance OrderedDict mean item Tensor sum dict parse_losses model log_level _non_dist_train get_root_logger _dist_train pop get hasattr endswith search copy named_parameters getattr append optim module workflow log_level MMDistributedDataParallel DistSamplerSeedHook cuda run total_epochs issubclass build_optimizer checkpoint_config work_dir module get val CocoDistEvalRecallHook load_from resume_from register_training_hooks resume type optimizer DistOptimizerHook lr_config DistEvalmAPHook isinstance CocoDataset load_checkpoint register_hook CocoDistEvalmAPHook Runner log_config Fp16OptimizerHook workflow log_level cuda run total_epochs build_optimizer checkpoint_config work_dir optimizer_config get load_from resume_from register_training_hooks resume optimizer lr_config load_checkpoint Runner log_config Fp16OptimizerHook multi_apply images_to_levels any sum range cat len append stack squeeze assign_and_sample zeros_like PseudoSampler pos_gt_bboxes size pos_weight anchor_inside_flags unmap sample new_zeros build_assigner assign pos_inds bbox2delta allowed_border neg_inds pos_bboxes assigner uint8 type new_full clamp long new_full zeros_like calc_region size sqrt log2 floor full_like item append zeros float sum long range len multi_apply images_to_levels any append sum range cat len ga_assigner build_sampler ga_sampler PseudoSampler zeros_like reshape pos_gt_bboxes size unmap build_assigner assign pos_inds sample neg_inds pos_bboxes BaseAssigner isinstance BaseSampler isinstance build_sampler sampler build_assigner assign sample assigner multi_apply cat bbox2delta size new_zeros squeeze new_zeros view clamp size min max stack stack unsqueeze div_ float log exp clamp size repeat expand_as view_as abs log addcmul Tensor ndarray isinstance clone bbox_flip new_full new_zeros append cat enumerate cpu append unique numpy clamp minimum T astype maximum float32 zeros range items list eval is_str list format evaluate COCOeval print summarize is_str COCO accumulate getImgIds loadRes fast_eval_recall array enumerate load getAnnIds is_str mean getImgIds eval_recalls append zeros loadAnns array range len tolist dict append float xyxy2xywh range len dict append float xyxy2xywh range len decode dict append float xyxy2xywh range len dump format ndarray isinstance segm2json dict proposal2json det2json list format evaluate COCOeval print summarize is_str COCO accumulate getImgIds loadRes fast_eval_recall append array enumerate arange ones hstack maximum zeros sum range minimum zeros_like len argsort zeros bbox_overlaps range enumerate zeros_like len argsort bbox_overlaps zeros argmax max enumerate append zeros range len eps cumsum tuple maximum average_precision argsort enumerate mean any vstack print_map_summary item zip append zeros range get_cls_results len get_classes table print len is_str AsciiTable append zeros range enumerate sum sort hstack copy zeros float argmax fliplr range enumerate array isinstance min set_recall_param print_recall_summary _recalls array append zeros bbox_overlaps range len arange table insert print size tolist AsciiTable append array enumerate show ndarray plot isinstance xlabel tolist axis ylabel figure show ndarray plot isinstance xlabel tolist axis ylabel figure hasattr patch_norm_fp32 modules half children isinstance half patch_forward_method float forward ndarray isinstance Iterable Tensor Mapping list map cat mask_size imresize size astype maximum new_zeros int32 device append to numpy range tolist append slice_list range len pop new_full sort copy nms_op new_zeros getattr append range cat nms nms_thr sort min clone max_num zip append bbox_mapping_back cat mean zip append bbox_mapping_back cat Tensor isinstance average mean array evaluate_from_dict resize max append imread range img_prefix astype copy enumerate join int min maximum int32 zeros array img_infos len items remove list eval_impl print mean float min astype repeat int32 sum all max concatenate items list int intersect_2d reduce union1d compute_iou triplet any zip append float len bbox_union get_pair_feature bbox2c cat cat bbox2delta get_device append tensor to bbox_overlaps range list view ones squeeze repeat_interleave index_select repeat zip append numpy bbox_overlaps range cat enumerate get_box_feature boxes_union get_pair_feature hstack minimum maximum minimum maximum minimum maximum minimum maximum list _take_tensors _flatten_dense_tensors zip _unflatten_dense_tensors OrderedDict all_reduce copy_ div_ append type values all_reduce _allreduce_coalesced get_world_size div_ uint8 transpose size astype ascontiguousarray append array range list map get deepcopy isinstance append build_dataset range len isinstance ConcatDataset print _concat_dataset build_from_cfg RepeatDataset copy Tensor ndarray isinstance randint min max len show showAnns axis bgr2rgb imshow get get_dist_info DistributedSampler DataLoader DistributedGroupSampler isinstance block Sequential build_conv_layer append range expansion format frozen_stages parameters eval getattr range isinstance eval modules BatchNorm2d topk isinstance size t eq mul_ expand_as append sum max t size topk enumerate log abs e where float weight_reduce_loss new_full size squeeze expand size weight_reduce_loss binary_cross_entropy_with_logits _expand_binary_labels float squeeze arange type_as sigmoid pow weight_reduce_loss binary_cross_entropy_with_logits _sigmoid_focal_loss weight_reduce_loss view clamp view zeros_like size min where abs max split_pos_neg_spo_agnostic softmax margin_ranking_loss margin_ranking_loss split_pos_neg_so_aware softmax margin_ranking_loss split_pos_neg_p_aware softmax min cuda get_device max range cat min cuda get_device unique max range cat min cuda get_device unique numpy max range cat abs where get_enum sum reduce_loss items list xywh_x1y1x2y2 len keys zeros array values enumerate ones_like fill_diagonal where numpy column_stack dict conv_layer pop copy size view pop str setdefault norm_layer copy parameters _specify_ddp_gpu_num hasattr bias xavier_uniform_ xavier_normal_ weight constant_ hasattr bias normal_ weight constant_ hasattr bias uniform_ weight constant_ kaiming_uniform_ hasattr bias weight kaiming_normal_ constant_ float Sequential isinstance constant_init ndarray isinstance new_zeros Tensor to numpy is_cuda ndarray soft_nms_cpu isinstance Tensor numpy pop get list items setdefault copy is_str list format std print argmin mean array append argmax keys include_outliers enumerate arange backend max out show list title savefig legend gca append format plot concatenate cla keys enumerate json_logs switch_backend print style xlabel set_xticks set_style array len add_argument add_parser add_argument add_parser ArgumentParser add_plot_parser add_subparsers add_time_parser zip parse_args json_logs load_json_logs ann max_dets coco_eval add_argument result types ArgumentParser vstack subtract tolist close_contour pad append find_contours flip approximate_polygon append int enumerate join uint8 format binary_mask_to_polygon print astype copy asfortranarray unique zip encode imread toBbox len ones size add from_numpy zeros from_numpy add load convert_conv_fc set OrderedDict dict save range convert_bn src convert dst depth imwrite resize max sorted list map append imread sum range get glob astype trange enumerate load join int print min makedirs int32 zeros array len join remove format list items print mean evaluate_from_dict PIC append trange float len add_argument load decode format rstrip save Popen in_file process_checkpoint out_file zeros _print load list format basename print_coco_results isinstance print mean zeros keys enumerate len load list format basename isinstance print mean zeros keys enumerate len print get_coco_style_results get_voc_style_results load append replace enumerate task get_results filename update format show_result size ProgressBar enumerate eval append dataset range img_norm_cfg len update get_dist_info size collect_results ProgressBar eval append dataset range enumerate len rstrip tensor broadcast list get_dist_info mkdtemp encode append range dump format bytearray zip load join barrier extend rmtree mkdir_or_exist full str local_rank config model tmpdir launcher MMDistributedDataParallel cuda show get_dist_info build_detector fromfile build_dataset get dump CLASSES init_dist single_gpu_test build_dataloader wrap_fp16_model test json_out eval results2json checkpoint load_checkpoint coco multi_gpu_test out MMDataParallel hoiw_out time print pic_eval list format evaluate COCOeval print summarize is_str COCO accumulate getImgIds loadRes stats fast_eval_recall array enumerate load eval_map CLASSES concatenate get_ann_info vstack append range len set_random_seed coco_eval_with_return final_prints seed corruptions voc_eval_with_return final_prints_aggregate obj_from_dict workers_per_gpu iou_thr enumerate severities summaries log_level autoscale_lr train_detector get_root_logger work_dir val resume_from info gpus dict pop list items replace search load eval_map CLASSES concatenate get_ann_info vstack append range len voc_eval int parse findall text getroot append zeros array find join list format dump print track_progress extend zip list_from_file mkdir_or_exist isdir devkit_path cvt_annotations | tfzhou/C-HOI | 3,844 |
tgao1337/detecting-fake-text | ['text generation', 'human detection'] | ['GLTR: Statistical Detection and Visualization of Generated Text'] | backend/api.py server.py backend/__init__.py text_analyze_test.py json_analyze_test.py backend/class_register.py get_top_k_count get_frac_p analyze send_static Project get_all_projects redir send_data remove_symbols_from_text top_k_logits LM AbstractLanguageChecker BERTLM main register_api append range len config list keys get check_probabilities print replace topk time format print sample_unconditional check_probabilities LM BERTLM | tgao1337/detecting-fake-text | 3,845 |
tgao1337/detecting-fake-text-2 | ['text generation', 'human detection'] | ['GLTR: Statistical Detection and Visualization of Generated Text'] | backend/api.py server.py backend/__init__.py text_analyze_test.py json_analyze_test.py spare_test_codes.py backend/class_register.py get_kld_from_json_file fracp_bin_counter compare_json_files_kld get_kld list_of_fracp_from_jsonl_file fracp_bin_counter_from_file get_top_k_count_from_file list_of_norm_fracp_from_file get_top_k_count get_jsd zero_to_small_num get_frac_p list_of_fracp_from_file analyze send_static Project get_all_projects redir send_data remove_symbols_from_text top_k_logits LM AbstractLanguageChecker BERTLM main register_api append range len range len print str fracp_bin_counter get_frac_p str get_kld_from_json_file print append len append fracp_bin_counter_from_file print fracp_bin_counter_from_file append sum range config list keys get check_probabilities print replace topk time format print sample_unconditional check_probabilities LM BERTLM | tgao1337/detecting-fake-text-2 | 3,846 |
th2l/Agriculture-Vision-Segmentation | ['semantic segmentation'] | ['The 1st Agriculture-Vision Challenge: Methods and Results'] | main.py | th2l/Agriculture-Vision-Segmentation | 3,847 |
th2l/Eye_VR_Segmentation | ['semantic segmentation'] | ['Eye Semantic Segmentation with a Lightweight Model'] | src/train.py src/test.py src/utils.py eye_refinement ConvReLU get_mean_std weighted_CrossEntropyLoss InvertedResidual _make_divisible MobileNetV2_CS schedule Hsigmoid ConvBNReLU SELayer test_writer weighted_CrossEntropyLoss OpenEDS Brightness ToTensor train_epoch pixel_acc eval adjust_learning_rate save_checkpoint Normalize generalised_dice_loss_ce mean_iou Rescale visualize copy shape unique zeros re_label int max to cross_entropy unique numel print tqdm shape pow to sum enumerate mean FloatTensor mean div type range param_groups update join save format set_title add_subplot close imshow clf savefig figure makedirs criterion model backward train zero_grad mean pixel_acc append to step mean_iou enumerate criterion model mean pixel_acc append to mean_iou enumerate mul one_hot float nll_loss numel mean pow int64 sub unique to sum log model add_subplot clf save set_title imshow savefig to range format astype close eval eye_refinement enumerate uint8 print tqdm figure summary train | th2l/Eye_VR_Segmentation | 3,848 |
thaihungle/UW-DNC | ['sentiment analysis', 'text classification', 'sequential image classification'] | ['Learning to Remember More with Less Memorization'] | feedforward_controller.py utility.py visual_util.py synthetic_task.py recurrent_controller.py memory.py controller.py uw_dnc.py BaseController FeedforwardController Memory StatelessRecurrentController load llprint exact_acc onehot double_sample max_sample synthetic_task get_size_model limit_copy prepare_batch reverse_sample copy_sample str2bool sum_sample pairwise_add unpack_into_tensorarray decaying_softmax pack_into_tensor pack_into_tensor2 DNC plot_memory format print len zip append float max range enumerate write flush zeros int list tolist choice random_length range int list tolist choice append random_length range len int list tolist choice random_length range int list tolist choice random_length range int list tolist choice append random_length range len reverse_sample int sum_sample ones max_sample mem_size min double_sample onehot cache_size append randint copy_sample range zeros get_shape trainable_variables join task format read_heads learning_rate batch_size print number_range llprint mem_size word_size Graph iterations dirname abspath cpu_num ConfigProto as_list reshape concat exp arange zeros sum len as_list dtype list transpose TensorArray unstack range len get_shape list transpose stack range len list stack transpose range set_aspect show arange set_title print min add_subplot set_ticks shape imshow figure zeros range | thaihungle/UW-DNC | 3,849 |
thaipduong/sbkm | ['autonomous navigation'] | ['Autonomous Navigation in Unknown Environments using Sparse Kernel-based Occupancy Mapping'] | sbkm/utils.py sbkm/sbkm.py sbkm_demo.py sbkm/__init__.py collision_checking_demo.py load_parameters SBKM _gaussian_cost_grad get_kernel ProbitRVC update_precisions solve_next_t eps print PINF zeros argmax max log dot T cdf pdf append roots | thaipduong/sbkm | 3,850 |
thak123/bert-twitter-sentiment | ['sentiment analysis'] | ['Pretraining and Fine-Tuning Strategies for Sentiment Analysis of Latvian Tweets'] | bert-sentiment/src/utils.py bert-sentiment/src/dataset.py bert-sentiment/src/predict.py bert-twitter-language-pretraining/run_language_modeling.py bert-sentiment/src/engine.py bert-sentiment/src/metrics.py bert-sentiment/src/app.py bert-sentiment/src/config.py bert-twitter-language-pretraining/run_language_modeling_v0.py bert-sentiment/src/model.py bert-sentiment/src/trained_models/mbert-2epoch-gold-lower/config.py bert-sentiment/src/train.py bert-sentiment/src/app/tests/request-post.py models index sentence_prediction preprocess demo predict BERTDataset loss_fn train_fn eval_fn predict_fn BERTBaseUncased main run label_encoder categorical_accuracy label_decoder label_full_decoder TextDataset set_seed evaluate LineByLineTextDataset train _sorted_checkpoints mask_tokens main _rotate_checkpoints load_and_cache_examples DataTrainingArguments main get_dataset ModelArguments print tokenize append enumerate load MODEL_PATH BERTDataset print BERTBaseUncased predict_fn preprocess DataLoader load_state_dict device to print sentence_prediction form argmax model backward train zero_grad tqdm loss_fn to step enumerate eval eval TSNE DataLoader device features DataFrame fillna values show str BERTBaseUncased scatterplot savefig load_state_dict append to fit_transform MODEL_PATH concatenate EVAL_PROC astype label_decoder info model_path zip load BERTDataset text PCA to_csv index predict_fn figure test_file TRAIN_BATCH_SIZE get_linear_schedule_with_warmup DataLoader save device accuracy_score fillna DEVEL_PROC list BERTBaseUncased EPOCHS eval_fn to range state_dict MODEL_PATH add_histogram EVAL_PROC info int train_fn matthews_corrcoef BERTDataset add_scalar AdamW print TRAIN_PROC named_parameters numpy len eq argmax line_by_line seed manual_seed_all manual_seed join sorted format glob match output_dir append format save_total_limit rmtree _sorted_checkpoints info max len pad_token_id bool mask_token convert_tokens_to_ids clone randint shape masked_fill_ eq tensor mlm_probability full len gradient_accumulation_steps resize_token_embeddings get_linear_schedule_with_warmup clip_grad_norm_ zero_grad DataLoader DataParallel DistributedDataParallel max_grad_norm output_dir device save max initialize list set_seed logging_steps load_state_dict master_params to state_dict SummaryWriter format _rotate_checkpoints close mean save_pretrained num_train_epochs info fp16 trange per_gpu_train_batch_size max_steps enumerate load join int n_gpu items evaluate model_name_or_path AdamW backward add_scalar makedirs tqdm parameters step train_batch_size len DataLoader DataParallel output_dir device tensor max eval_batch_size exp per_gpu_eval_batch_size to SequentialSampler format eval info join n_gpu makedirs tqdm load_and_cache_examples len enable_attach from_pretrained config_name should_continue block_size add_tokens warning ArgumentParser do_train output_dir save eval_all_checkpoints setLevel basicConfig list set_seed set_device _sorted_checkpoints parse_args WARN update init_process_group tokenizer_name save_pretrained fp16 from_config wait_for_attach train join n_gpu evaluate model_name_or_path print add_argument min barrier max_len dict bool load_and_cache_examples local_rank makedirs line_by_line save_model resize_token_embeddings Trainer seed exp DataCollatorForLanguageModeling parse_args_into_dataclasses HfArgumentParser len | thak123/bert-twitter-sentiment | 3,851 |
thangbui/sparseGP_powerEP | ['gaussian processes'] | ['A Unifying Framework for Gaussian Process Pseudo-Point Approximations using Power Expectation Propagation'] | python/sgp/tests/test_SGP_PEP_xor.py python/sgp/utils/misc.py python/sgp/tests/test_PEP_GPy.py python/sgp/utils/linalg.py python/sgp/utils/se_ard.py python/sgp/pep/SGP_PEP.py python/sgp/pep/PEP_reg.py python/sgp/utils/metrics.py PEP SGP_PEP nf matrixInverse chol2inv compute_nll draw_randn_samples compute_error make_batches printProgress d_trace_MKzz_dhypers compute_kernel_diag compute_kernel T reshape logsumexp mean sqrt tile logcdf median log reshape log pi int print float round flush cdist exp ones exp T exp ones outer dot sqrt sum | thangbui/sparseGP_powerEP | 3,852 |
thegregyang/GP4A | ['gaussian processes'] | ['Neural Tangent Kernel: Convergence and Generalization in Neural Networks', 'Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes', 'Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes'] | GRUsim.py RNNtheory.py RNNsim.py GRUtheory.py utils.py ErfSigmoid simgru2 tonumpy simgru Erf Esigmoid2prod thgru2 Esigmoidprod thgru Eerf2 simrnn thrnn VDerErf seqs2cov getCor colorbar VErf VStep VReLU J1 makelayer T randn squeeze mylayer append range makelayer T randn block squeeze mylayer append enumerate asarray FV reshape npa eye pmvnorm npa eye list concatenate reshape npa set zeros range seed randn phi sqrt array append max len shape Vphi zeros max range len diag pop T append array len sqrt list range sqrt list range sqrt list range sqrt list range axes figure make_axes_locatable append_axes | thegregyang/GP4A | 3,853 |
thegregyang/NTK4A | ['gaussian processes'] | ['Neural Tangent Kernel: Convergence and Generalization in Neural Networks', 'Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes'] | utils.py VErf3 thVReLU thJ1 Gmatrix getCor VDerErf3 clone_grads flatten VStep paramdot VReLU getCov J1 named_parameters detach items list reshape dict append T diag sqrt list range sqrt list range clamp list thJ1 range | thegregyang/NTK4A | 3,854 |
theharshy/happiness-classifier | ['art analysis'] | ['HappyDB: A Corpus of 100,000 Crowdsourced Happy Moments'] | lstm.py preprocess.py analysis.py valenceshifter.py get_image happy_words filter_demographic lstm_run lstm_convert_data categorize_this_happy_moment generate_tokens tokenize make_dictionary get_tokenized_moments connector presuppositional score_sentence shift_score find_imp_words findscore negative intensifier show str print axis imshow savefig figure generate range int list str append float range get_image items sorted list make_dictionary print strip filter_demographic eval lower input get_tokenized_moments pad_sequences Embedding print Sequential add Dense summary LSTM array compile fit get append get lstm_convert_data pad_sequences print array argmax tokenize predict list words load get list set append open lower word_tokenize words set join dump getcwd from_csv open tokenize range len print range len range len print range len print range len connector negative presuppositional intensifier pos_tag append list find_imp_words pos_score neg_score senti_synsets len word_tokenize print shift_score findscore sum len | theharshy/happiness-classifier | 3,855 |
theinmate4587/Art-Generation | ['style transfer'] | ['A Neural Algorithm of Artistic Style'] | nst_utils.py Art+Generation+with+Neural+Style+Transfer+-+v2.py compute_style_cost model_nn compute_content_cost gram_matrix compute_layer_style_cost total_cost generate_noise_image reshape_and_normalize_image save_image CONFIG load_vgg_model as_list pow transpose reduce_sum transpose matmul as_list reshape transpose reduce_sum gram_matrix pow compute_layer_style_cost run str print assign global_variables_initializer save_image range run reshape _conv2d_relu Variable zeros _avgpool loadmat astype reshape MEANS shape MEANS imsave astype | theinmate4587/Art-Generation | 3,856 |
thejat/data-driven-assortments | ['information retrieval'] | ['Optimizing Revenue while showing Relevant Assortments at Scale'] | proposed_algos.py plots_paper.py all_algos_test.py competing_algos.py real_data.py capAst_adxopt capAst_static_mnl capAst_paat0 capAst_oracle capAst_LP genAst_oracle calcRev get_plots_combined get_plot_subroutine get_static_mnl_plot get_freqitem_subroutine get_plots_temp get_plot_subroutine_temp get_merged_plot_subroutine get_plot_subroutine_combined get_combined_file get_freqitem_plots get_plots get_combined_file_forbarplot get_merged_plots get_adx_plot capAst_AssortExact assortX capAst_AssortExactOLD capAst_AssortLSH genAst_AssortBZ capAst_AssortBZ genAst_AssortLSH preprocess get_nn_set genAst_AssortExact insert range len combinations list time calcRev print range time print tuple append calcRev enumerate time calcRev setdiff1d maxsize insert ones print len astype where argsort flatten shape unravel_index float empty range column_stack capAst_paat0 capAst_LP print astype set get_values round set_results_stream Cplex list solve add append set_error_stream range set_log_stream maximize set_sense join time int set_warning_stream get_objective_value print len list time calcRev sorted asarray print min set difference zeros argmax range len show asarray plot xlabel add_subplot ylabel ylim savefig figure legend fill_between xlim enumerate subplots flatten get_majorticklabels xticks yticks percentile show list ylabel colorbar savefig threshold2idx append range set_xticklabels copy enumerate print xlabel LinearSegmentedColormap set_ylabel pcolor zeros len load get_plot_subroutine_temp open arange add_subplot set_major_formatter xticks show set_yscale ylabel ylim savefig set_color legend asarray plot xlim FuncFormatter enumerate xlabel set_facecolor figure fill_between load get_plot_subroutine_combined open arange add_subplot set_major_formatter xticks show set_yscale ylabel ylim savefig set_color legend asarray plot xlim FuncFormatter enumerate xlabel set_facecolor figure load get_plot_subroutine get_adx_plot open subplots arange tuple set_major_formatter xticks yticks show ylabel bar savefig legend set_color set_xticklabels PercentFormatter autolabel enumerate set_ylabel set_xticks set_facecolor set_ylim len load print get_freqitem_subroutine open show plot print xlabel add_subplot ylabel ylim savefig figure legend set_major_formatter set_facecolor set_color xlim FuncFormatter enumerate load asarray get_merged_plot_subroutine open append enumerate load asarray plot xlabel add_subplot ylabel set_facecolor figure legend set_color savefig fill_between xlim open OrderedDict load enumerate open load OrderedDict vstack open append enumerate time NearestNeighbors norm concatenate print LSHForest fit sqrt eye zeros max enumerate get_nn_set time max calcRev time norm list concatenate reshape astype append kneighbors sum range len print assortX print assortX print assortX print assortX time linearSearch print max calcRev len time ones_like arange calcRev exp print range get_belief_interval get_pivot get_nn_set sum max log len time ones_like arange calcRev exp print range get_belief_interval get_pivot get_nn_set sum max log len | thejat/data-driven-assortments | 3,857 |
thepanacealab/covid19_twitter | ['misinformation'] | ['A large-scale COVID-19 Twitter chatter dataset for open scientific research -- an international collaboration'] | processing_code/getStats.py processing_code/combineNgrams.py processing_code/parse_json_extreme.py processing_code/parse_json_extreme_cleantweets.py processing_code/getDataset_clean.py processing_code/get_1grams.py processing_code/getDataset.py processing_code/parse_json_lite.py processing_code/fields.py processing_code/combine1grams.py processing_code/get_ngrams.py get_time get_date get_time get_date remove_string_special_characters remove_string_special_characters str parsedate_tz month strip timedelta day year datetime hour str parsedate_tz second strip minute timedelta datetime str strip sub | thepanacealab/covid19_twitter | 3,858 |
thepowerfuldeez/tacotron2 | ['speech synthesis'] | ['Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions'] | train.py distributed.py data.py multiproc.py text/__init__.py test.py util.py waveglow/stft.py text/normalize_numbers.py model.py TTSCollate TTSDataset setup_distributed _flatten_dense_tensors apply_gradient_allreduce _unflatten_dense_tensors cleanup_distributed Decoder Postnet Prenet Encoder Model Attention validate waveglow_gen load_checkpoint setup_model save_checkpoint main inference train parse_args success_rate show_figure reduce_tensor normalize_numbers _expand_dollars _expand_ordinal _expand_decimal_point _expand_number _remove_commas _expand_abbreviations _clean_text _g2p encode_text window_sumsquare STFT str init_process_group cpu_count device_count destroy_process_group cat append view_as numel list requires_grad register_forward_hook register_hook parameters values broadcast initialize setup_distributed apply_gradient_allreduce print load_checkpoint set_device convert_syncbn_model Adam parameters Model to model binary_cross_entropy clip_grad_norm_ zero_grad success_rate seed len step show_figure device_count master_params to choice item manual_seed add_image enumerate time backward print parameters numpy mse_loss add_scalar seed time add_image add_scalar print waveglow_gen add_audio show_figure choice mean eval manual_seed to numpy enumerate len time add_image add_text waveglow_gen print size add_audio show_figure success_rate eval manual_seed randint numpy add_scalar convinv half Denoiser eval empty_cache float update save load items list len load_state_dict state_dict add_argument ArgumentParser validate batch_size tuple DataLoader save_checkpoint exp_name str DistributedSampler device_count save_every rank TTSCollate parse_args inference range SummaryWriter sync_bn distributed log_every mkdir warm_load_keys fp16 TTSDataset cleanup_distributed num_epochs checkpoint learning_rate print ds_path infer_every waveglow_path group_name joinpath setup_model train split all_reduce clone bool subplots reshape tostring_rgb fromstring draw close colorbar imshow group split int group sub sub _expand_abbreviations lower sub normalize_numbers append f_g2p range len _g2p _clean_text get_window normalize pad_center zeros range | thepowerfuldeez/tacotron2 | 3,859 |
thinkingmachines/christmAIs | ['style transfer'] | ['A Neural Algorithm of Artistic Style'] | tests/test_drawer.py docs/conf.py christmais/parser.py tests/test_styler.py christmais/drawer.py setup.py christmais/__init__.py christmais/tasks/christmais_time.py christmais/styler.py tests/test_parser.py tests/conftest.py Drawer Parser Styler main build_parser pytest_addoption process_img local styler drawer parser test_draw_png test_read_categories test_create_index_html test_draw test_read_categories test_get_similar test_get_most_similar test_get_actual_label test_save_preprocessed_img test_style_transfer test_get_img_lists_return_type test_get_img_lists_return_objects test_get_data_and_name test_create_placeholder_return_type add_argument ArgumentParser style_transfer format get_most_similar getLogger Drawer draw output Parser info install parse_args build_parser Styler INFO addoption glob _read_categories glob _create_index_html format glob _create_index_html _draw_png format glob draw format zip get_most_similar _get_actual_label _get_similar _create_placeholder float32 placeholder _get_img_lists _get_img_lists glob format _get_data_and_name style_transfer | thinkingmachines/christmAIs | 3,860 |
thoailinh/Sentiment-Analysis-using-BERT | ['sentiment analysis'] | ['Fine-Tuning BERT for Sentiment Analysis of Vietnamese Reviews'] | Interface/output.py Interface/main.py Interface/predict_text.py Interface/vd1.py mywindow resource_path Ui_MainWindow BERT bert_rcnn resource_path NonMasking Ui_MainWindow _MEIPASS inputs outputs Model load_weights resource_path compile | thoailinh/Sentiment-Analysis-using-BERT | 3,861 |
thouyang/ccd-dsa | ['autonomous driving'] | ['Guiding Deep Learning System Testing using Surprise Adequacy'] | train_model.py utils.py dif_dsa.py run.py pre_cc cal_dsa3 cal_dsa2 plt_ccs find_closest_at plt_roc _aggr_output cal_cla_matrix cal_dsa1 cal_dsa0 get_ats train compute_roc_auc infog warn info compute_roc fail Colors append enumerate argsort norm mean zip print predict_classes map Model array save info append Pool predict find_closest_at tqdm append enumerate find_closest_at tqdm append enumerate norm min delete tqdm mean append range enumerate min delete tqdm find_closest_at append range enumerate predict_classes zeros_like show int reshape axis argsort imshow savefig figure ceil zeros range show plot xlabel roc_curve ylabel title ylim legend xlim roc_auc_score format d print reshape Sequential to_categorical astype Adam add load_data save summary Activation compile fit auc roc_curve concatenate fit array compute_roc concatenate | thouyang/ccd-dsa | 3,862 |
thu-coai/UNION | ['text generation', 'story generation'] | ['UNION: An Unreferenced Metric for Evaluating Open-ended Story Generation'] | union_modeling.py run_union.py optimization.py correlation.py utils.py Data/gen_train_data.py tokenization.py Data/get_vocab.py create_optimizer AdamWeightDecayOptimizer GenStoryProcessor get_ref_lm_output create_model StoryClassiferProcessor InputFeatures input_fn_builder InputExample model_fn_builder eval convert_examples_to_features main train PaddingInputExample DataProcessor convert_single_example validate_case_matches_checkpoint 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 embedding_lookup reshape_from_matrix dropout assert_rank reshape_to_matrix layer_norm_and_dropout get_shape_list gelu create_initializer BertConfig attention_layer get_activation layer_norm embedding_postprocessor transformer_model create_attention_mask_from_input_mask get_assignment_map_from_checkpoint BertModel get_pure_correlation get_score read get_correlation_func shuffle_sentence repeat_sentence change_neg_sentence replace_word replace_sentence output change_neg_helper repeat_ngram get_pos_vocab get_avail_phrases get_avail_phrases trainable_variables constant get_or_create_global_step gradients clip_by_global_norm group float32 apply_gradients cast int32 zip polynomial_decay CrossShardOptimizer AdamWeightDecayOptimizer join ref isinstance info InputFeatures convert_tokens_to_ids len guid use_reconstruction append token text_a enumerate get_variable get_pooled_output value BertModel segment_ids ref_input_mask label_id ref_input_ids input_mask use_reconstruction append input_ids append enumerate convert_single_example info input_fn_builder info train_batch_size len eval_batch_size int join evaluate data_dir input_fn_builder output_dir info use_tpu len do_eval get_train_examples TPUEstimator set_verbosity output_dir do_train do_predict from_json_file model_fn_builder RunConfig max_seq_length data_dir save_checkpoints_steps get_labels bert_config_file convert_examples_to_features range predict_batch_size input_fn_builder lower eval MakeDirs num_train_epochs info INFO FullTokenizer int warmup_proportion join print PER_HOST_V2 use_reconstruction train train_batch_size len match group isinstance PY3 PY2 isinstance PY3 PY2 OrderedDict append strip split category category startswith category ord pow tanh sqrt pi lower name group OrderedDict match list_variables layer_norm dropout one_hot reshape get_shape_list matmul gather 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 kendalltau pearsonr spearmanr tolist read join words close add set append enumerate open join write deepcopy tolist min int range repeat_sen_gram len deepcopy arange choice range len insert print choice pos_tag split lemma enumerate deepcopy arange choice change_neg_helper range len int arange choice replace_one_word range split permutation exchange range choice | thu-coai/UNION | 3,863 |
thu-coai/cotk | ['text generation'] | ['CoTK: An Open-Source Toolkit for Fast Development and Fair Evaluation of Text Generation'] | cotk/file_utils/file_utils.py docs/meta/update_doc.py tests/metric/test_ngram_perplexity.py tests/wordvector/test_wordvector.py tests/metric/test_precision_recall.py cotk/models/ngram_language_model.py tests/dataloader/test_dataloader.py cotk/dataloader/context.py docs/autodoc/custom_typing.py tests/share/cache_dir.py cotk/wordvector/__init__.py cotk/_utils/utils.py tests/dataloader/test_vocab.py docs/autodoc/importer.py cotk/metric/ngram_perplexity.py tests/file_utils/test_file_utils.py tests/scripts/test_scripts.py tests/dataloader/test_field.py cotk/scripts/main.py docs/autodoc/typehints.py tests/dataloader/version_test_base.py setup.py cotk/dataloader/single_turn_dialog.py cotk/_utils/imports.py docs/autodoc/mock.py cotk/metric/accuracy.py cotk/__init__.py tests/metric/test_metric_chain.py cotk/dataloader/multi_turn_dialog.py tests/metric/test_recorder.py cotk/metric/recorder.py tests/dataloader/test_single_turn_dialog.py tests/metric/metric_base.py cotk/metric/perplexity.py cotk/_utils/typehint.py cotk/file_utils/resource_processor.py docs/autodoc/inspector.py docs/napoleon/iterators.py tests/metric/test_accuracy.py cotk/scripts/config.py cotk/scripts/_utils.py cotk/models/__init__.py cotk/scripts/download.py docs/meta/_themes/sphinx_rtd_theme/__init__.py docs/autodoc/__init__.py tests/file_utils/test_file_loadmodel.py tests/dataloader/test_language_generation.py cotk/dataloader/tokenizer.py cotk/wordvector/wordvector.py cotk/_utils/__init__.py tests/dataloader/test_tokenizer.py cotk/_utils/metaclass.py tests/dataloader/test_multi_turn_dialog.py tests/file_utils/test_file_processor.py cotk/dataloader/field.py cotk/metric/precision_recall.py docs/meta/conf.py cotk/dataloader/__init__.py cotk/metric/bleu.py cotk/scripts/import_local_resources.py cotk/file_utils/__init__.py docs/napoleon/docstring.py cotk/scripts/cli_constant.py docs/autodoc/directive.py docs/napoleon/__init__.py cotk/metric/distinct.py tests/metric/test_perplexity.py cotk/_utils/unordered_hash.py cotk/metric/metric.py tests/metric/version_test_data_generator_v2.py cotk/metric/__init__.py cotk/dataloader/dataloader.py cotk/dataloader/language_generation.py docs/autodoc/type_comment.py tests/metric/test_bleu.py cotk/scripts/resources.py cotk/dataloader/sentence_classification.py cotk/dataloader/vocab.py tests/dataloader/test_sentence_classification.py LibTest VocabContext FieldContext _UNDEFINED Context LanguageProcessing Dataloader _SentenceContent _DenseLabelContent SentenceDefault Field SentenceCandidateBERT Session _SparseLabelContent _FieldContent _InfiniteLength SentenceGPT2 SessionDefault SentenceCandidateDefault SessionGPT2 SparseLabel SessionBERT _SessionContent SentenceBERT SentenceCandidateGPT2 Sentence DenseLabel LanguageGeneration MSCOCO UbuntuCorpus SwitchboardCorpus MultiTurnDialog SentenceClassification SST SingleTurnDialog OpenSubtitles Vocab PretrainedVocab GeneralVocab SimpleVocab _get_file_sha256 _get_config _parse_file_id _load_local_data get_resource_list _get_hashtag _download_data get_resource_file_path _url_to_filename _get_resource _http_get load_file_from_url import_local_resources ResourceProcessor ZipResourceProcessor OpenSubtitlesResourceProcessor UbuntuResourceProcessor Glove200dResourceProcessor Glove100dResourceProcessor Glove50dResourceProcessor unzip_file MSCOCOResourceProcessor SSTResourceProcessor SwitchboardCorpusResourceProcessor Glove300dResourceProcessor DefaultResourceProcessor BaseResourceProcessor GloveResourceProcessor AccuracyMetric MultiTurnBleuCorpusMetric _sentence_bleu SelfBleuCorpusMetric BleuCorpusMetric FwBwBleuCorpusMetric DistinctNgramsCorpus MetricChain MetricBase NgramFwBwPerplexityMetric KneserNeyInterpolated entry config_load load_config config_set clone_codes_from_commit download get_result_from_id entry main dispatch show_command entry GeneralWordVector WordVector Glove LazyObject DummyObject LazyModule copy_property fix_doc DocStringInheritor copy_func LoadClassInterface convert_dict convert_ordered_iterable convert_obj UnorderedSha256 dumps dumps_json convert_ordered_dict convert_unordered_iterable simple_dumps is_build_private_docs trim_before_target chain_sessions restore_sessions replace_unk _stringify_py37 stringify _stringify_py36 _stringify DummyOptionSpec process_documenter_options DocumenterBridge AutodocDirective parse_generated_content get_module_members get_object_members import_module import_object formatargspec format_annotation MockFinder _MockImporter _make_subclass MockLoader _MockModule mock _MockObject record_typehints setup merge_typehints insert_field_list modify_field_list config_inited setup update_annotations_using_type_comments get_type_comment Documenter members_set_option get_documenters ModuleDocumenter ExceptionDocumenter InstanceAttributeDocumenter DataDocumenter Options AttributeDocumenter setup identity ClassLevelDocumenter DataDeclarationDocumenter merge_autodoc_default_flags cut_lines DecoratorDocumenter members_option annotation_option merge_special_members_option bool_option autodoc_attrgetter DocstringSignatureMixin between FunctionDocumenter MethodDocumenter ModuleLevelDocumenter stringify_signature SlotsAttributeDocumenter ClassDocumenter PropertyDocumenter DocstringStripSignatureMixin setup copy_readme_from_github get_location render check setup get_html_theme_path NumpyDocstring GoogleDocstring modify_iter peek_iter Config setup _patch_python_domain _process_docstring _skip_member load_LanguageProcessing4 teardown_module load_LanguageProcessing1 BaseTestLanguageProcessing setup_module load_LanguageProcessing2 TestAllLanguageProcessing TestLanguageProcessing load_LanguageProcessing3 TestLanguageGeneration TestMSCOCO teardown_module setup_module load_mscoco_gpt load_mscoco load_mscoco_bert TestMultiTurnDialog load_ubuntucorpus_gpt2 teardown_module TestSwitchboardCorpus load_ubuntucorpus_bert setup_module load_switchboardcorpus_gpt2 load_switchboardcorpus_bert TestUbuntuCorpus load_ubuntucorpus load_switchboardcorpus load_sst TestSST teardown_module load_sst_bert TestSentenceClassification setup_module load_sst_gpt2 TestSingleTurnDialog load_opensubtitles_bert teardown_module load_opensubtitles_gpt2 setup_module TestOpenSubtitles load_opensubtitles TestPretrainedTokenizer load_SimpleTokenizer TestTokenizer load_PretrainedTokenizer TestSimpleTokenizer setup_module TestSimpleVocab load_generalvocab TestPretrainedVocab load_PretrainedVocab load_frequent_generalvocab TestVocab setup_module TestGeneralVocab load_SimpleVocab load_predefined_generalvocab base_test_version PatchDataloader load_version_info r_mock TestFileUtils r_mock TestFileUtils check r_mock TestFileUtils FakeMultiDataloader generate_testcase generate_unequal_data version_test shuffle_instances split_batch replace_unk same_data same_dict FakeDataLoader TestAccuracyMetric setup_module TestMetricChain setup_module TestNgramFwBwPerplexityMetric TestNgramLM TestBleuPrecisionRecallMetric TestEmbSimilarityPrecisionRecallMetric setup_module TestMultiTurnDialogRecorder TestSingleTurnDialogRecorder setup_module TestLanguageGenerationRecorder get_vocab get_ref_gen get_prec_rec_data metric_output get_ref_prob_len TestScripts teardown_module setup_module load_glove_none setup_module load_glove TestWordVector TestGlove _UNDEFINED UNDEFINED replace UNDEFINED replace TOKENIZER_DOCS MAX_SENT_LENGTH_DEFAULT MIN_FREQUENT_VOCAB_TIMES_DEFAULT MIN_FREQUENT_VOCAB_TIMES_DOCS MIN_RARE_VOCAB_TIMES_DEFAULT copy_property CONVERT_TO_LOWER_LETTER_DEFAULT MAX_SENT_LENGTH_DOCS copy_func MIN_RARE_VOCAB_TIMES_DOCS CONVERT_TO_LOWER_LETTER_DOCS TOKENIZER_DEFAULT is_build_private_docs is_build_private_docs copy_property replace is_build_private_docs copy_func _InfiniteLength replace _GET_BATCH_RETURN_VALUE replace _GET_BATCH_RETURN_VALUE replace PROCESS_ARG remove_special_in_ids trim_in_ids add_special_to_ids replace replace add_special_to_ids trim_in_ids remove_special_in_ids _GET_BATCH_DATA_DOCSTRING replace add_special_to_ids trim_in_ids remove_special_in_ids _GET_BATCH_DATA_DOCSTRING replace GEN_LOG_PROB_KEY_ARGUMENTS GEN_KEY_ARGUMENTS SEED_ARGUMENTS CPU_COUNT_ARGUMENTS MAX_TURN_LENGTH_DOCS get_default_field copy_func format format __doc__ encode hexdigest sha256 join get update write close tqdm iter_content len sha256 isdir split postprocess join format _get_file_sha256 _get_config print _parse_file_id load_class _url_to_filename resource_processor_class preprocess info makedirs postprocess join _parse_file_id _url_to_filename info makedirs endswith _parse_file_id load_class preprocess resource_processor_class info startswith get join postprocess _get_config _parse_file_id _get_hashtag load_class _url_to_filename resource_processor_class preprocess info exists makedirs join basename exists path rmtree info urlparse makedirs append sort listdir is_zipfile replace load CONFIG_FILE open dump format CONFIG_FILE info load_config open load_config join value variable add_argument ArgumentParser info parse_args config_load config_set get chdir getcwd git_checkout_commit git_clone clone_codes_from_commit load isdigit format isfile int dump model print add_argument fullmatch groups result ArgumentParser info parse_args get_result_from_id open format _import_local_resources file_path file_id print print entry show_command append dispatch show_command show show_stored get_resource_list get_resource_file_path show_all __name__ fix_doc getattr fix_doc isinstance items __name__ isinstance warn chain list append _stringify isinstance join stringify hasattr _name __origin__ _special repr __forward_arg__ __qualname__ getattr join __tuple_params__ stringify hasattr replace __origin__ _name isinstance __union_params__ __parameters__ repr __forward_arg__ __qualname__ getattr __tuple_use_ellipsis__ append __args__ GenericMeta DummyOptionSpec join list attrgetter debug import_module safe_getattr __annotations__ hasattr dir items __annotations__ join attrgetter hasattr dir isenumclass __slots__ Attribute find_attr_docs join __tuple_params__ hasattr isinstance __union_params__ __parameters__ TypeVar warn __tuple_use_ellipsis__ append __args__ join object_description format_arg_with_annotation format_annotation isinstance write warn getvalue append get_annotation StringIO enumerate update devnull MockFinder insert stringify setdefault return_annotation annotation OrderedDict signature callable values get join desc_signature insert_field_list cast modify_field_list append insert field_list index get join items setdefault field astext cast split connect setup_extension getsource cast FunctionDef startswith getattr ast_parse ast_unparse get_type_comment signature returns values enumerate object_description name return_annotation kind write annotation getvalue stringify_annotation append StringIO values default get append compile dict option_spec dict option_spec priority items isinstance isinstance warn warning autodoc_default_flags __ add_event add_autodocumenter add_config_value ENUM add_stylesheet join print copy unzip_file _http_get copytree exists open append startswith split pop read extend append split print zip enumerate split dirname abspath add_html_theme abspath dirname X compile items _patch_python_domain NumpyDocstring config napoleon_numpy_docstring napoleon_google_docstring lines GoogleDocstring napoleon_include_private_with_doc napoleon_include_init_with_doc __module__ reduce import_module getattr napoleon_include_special_with_doc rpartition split rmtree isdir makedirs rmtree isdir SimpleTokenizer SentenceDefault GeneralVocab SimpleTokenizer OrderedDict SentenceDefault GeneralVocab OrderedDict seed str format isinstance dl_class load_class _version load_version_info __name__ isinstance enumerate keys append product extend enumerate append deepcopy list isinstance shuffle range len append range append deepcopy shuffle _version _name isinstance format _name from_predefined set_default_field isinstance SessionDefault simple_create _version SimpleTokenizer SentenceDefault metric_class forward append randint join range list tuple min shuffle set add zip append randint range len list tuple min shuffle set add zip append randint range len int list tuple min tolist shuffle set add zip append randint max range enumerate len remove isfile remove isfile | thu-coai/cotk | 3,864 |
thu-media/Comyco | ['imitation learning'] | ['Comyco: Quality-Aware Adaptive Video Streaming via Imitation Learning'] | src/code.py cpp-win/x64/Release/env.py src/train.py src/comyco_pitree_fixed.py src/load_trace.py cpp-win/abr/envcpp.py src/dt_pool.py src/dt_test.py src/fixed_test.py src/libcomyco.py src/plot_results.py src/video_loader.py cpp-linux/abrenv.py src/pool.py cpp-win/abr/abrenv.py src/rl_test.py cpp-linux/Release/envcpp.py src/tree/comyco-pitree.py src/train_dt.py src/dt.py src/fixed_env.py src/envcpp.py _swig_repr swig_import_helper Environment _swig_setattr_nondynamic _swig_getattr vectori SwigPyIterator vectord _swig_setattr vectors _swig_repr Environment _swig_setattr_nondynamic_class_variable _swig_setattr_nondynamic _swig_getattr _swig_setattr_nondynamic_instance_variable vectori SwigPyIterator _SwigNonDynamicMeta _swig_add_metaclass _swig_setattr vectord _swig_repr swig_import_helper Environment _swig_setattr_nondynamic _swig_getattr vectori SwigPyIterator vectord _swig_setattr vectors _swig_repr swig_import_helper Environment _swig_setattr_nondynamic _swig_getattr vectori SwigPyIterator vectord _swig_setattr _swig_repr swig_import_helper Environment _swig_setattr_nondynamic _swig_getattr vectori SwigPyIterator vectord _swig_setattr main predict ActorNetwork pool vectors _swig_repr swig_import_helper Environment _swig_setattr_nondynamic _swig_getattr vectori SwigPyIterator vectord _swig_setattr libcomyco mish load_trace main pool VideoLoader predict lstrip get __setattr__ get __repr__ delete_SwigPyIterator delete_vectori delete_vectord Environment_virtual_mahimahi_ptr_get Environment_all_cooked_bw_get Environment_mahimahi_ptr_set Environment_mahimahi_start_ptr_get Environment_cooked_bw_get Environment_buffer_size_get Environment_cooked_time_get Environment_cooked_time_set Environment_virtual_last_mahimahi_time_set Environment_trace_idx_set Environment_mahimahi_start_ptr_set Environment_trace_idx_get _swig_property Environment_last_mahimahi_time_get Environment_all_cooked_time_get Environment_all_cooked_time_set Environment_video_chunk_counter_get Environment_mahimahi_ptr_get Environment_all_cooked_bw_set delete_Environment Environment_buffer_size_set Environment_video_chunk_counter_set Environment_cooked_bw_set Environment_last_mahimahi_time_set Environment_virtual_mahimahi_ptr_set Environment_virtual_last_mahimahi_time_get __setattr__ _swig_setattr_nondynamic_class_variable property property property delete_vectors property Environment_optimal_set Environment_return_buffer_size0_set Environment_sleep_time0_get Environment_video_chunk_vmaf0_set Environment_video_chunk_size0_set Environment_sleep_time0_set Environment_rebuf0_set Environment_rebuf0_get Environment_delay0_set Environment_end_of_video0_set Environment_delay0_get Environment_video_chunk_size0_get Environment_all_file_names_set Environment_CHUNK_COMBO_OPTIONS_set Environment_CHUNK_COMBO_OPTIONS_get Environment_video_chunk_remain0_get Environment_all_file_names_get Environment_video_chunk_remain0_set Environment_optimal_get Environment_video_chunk_vmaf0_get property Environment_end_of_video0_get Environment_return_buffer_size0_get load ActorNetwork print tree_to_code append listdir subplots cumsum grid set_visible max clip str ylabel set_linewidth ylim savefig legend append plot mean zip xlim listdir xlabel rc subplots_adjust histogram | thu-media/Comyco | 3,865 |
thu-ml/ood-dgm | ['outlier detection'] | ['Further Analysis of Outlier Detection with Deep Generative Models'] | pixelcnn/data/alldata.py vae/src/optimizers.py pixelcnn/data/imagenet_data.py vae/src/fid.py vae/src/db_model_wrapper.py pixelcnn/ardgm_ren_et_al_test.py pixelcnn/data/celeba32_data.py vae/src/utils.py vae/src/datasets.py vae/src/cifar100_data.py vae/src/group_images.py pixelcnn/data/cifar10_data.py pixelcnn/linear_tests.py pixelcnn/data/other_synth_data.py pixelcnn/train.py vae/src/oodutils.py vae/src/ood_test.py pixelcnn/data/cifar100_data.py pixelcnn/data/small.py gan_dset/gen.py pixelcnn/data/cifar10s_data.py vae/src/fid_daib.py vae/src/train_vae.py pixelcnn/utils/plotting.py pixelcnn/data/others.py vae/src/tsvaenet/util.py pixelcnn/gen_repr.py vae/src/tsvaenet/two_stage_vae_model.py pixelcnn/utl.py pixelcnn/pixel_cnn_pp/model.py pixelcnn/pixel_cnn_pp/nn.py main gen_image tile_images proc_repr get_roc plot_roc get_lr proc_scores make_feed_dict gen_repr autocorr5 get_roc get_autocorr_ proc_scores get_wn_stats run sample_from_model make_feed_dict logistic_score value_and_gradient diag_jacobian discretized_mix_logistic_loss_ _is_list_like tile_images get_test_images get_dataloaders convert_small_data get_dataloader_class load DataLoader load DataLoader maybe_download_and_extract unpickle load DataLoader maybe_download_and_extract load get_mutated_dataloader DataLoader maybe_download_and_extract unpickle load fetch maybe_preprocess DataLoader maybe_download_and_extract DataSet load_svhn load DataLoader get_dataloader DataLoader get_dataloaders load_data model_spec int_shape energy_distance get_var_maybe_avg down_shifted_conv2d log_prob_from_logits conv2d gated_resnet discretized_mix_logistic_loss adam_updates get_name right_shift down_shifted_deconv2d down_shift dense down_right_shifted_conv2d concat_elu log_sum_exp nin deconv2d sample_from_discretized_mix_logistic down_right_shifted_deconv2d get_vars_maybe_avg plot_img tile_raster_images scale_to_unit_interval conv_filter_tile img_stretch img_tile load DataLoader maybe_download_and_extract unpickle convert_mnist_data load_svhn DataSet load_imagenet32 load_synth load_cifar100 load_data load_cifar10 gen_npz_loader load_cel32 load_celeba SmallVAE DaibAE DaibVAE InvalidFIDException calculate_activation_statistics_from_files calculate_activation_statistics get_activations_from_files _handle_path get_activations load_image_batch check_or_download_inception create_inception_graph _get_inception_layer imread calculate_frechet_distance calculate_fid_given_paths fid_score evaluate_fid_score check_or_download_inception create_inception_graph _get_inception_layer preprocess_fake_images imread preprocess_real_images get_activations_pt get_activations_tf autocorr5 time_series_test tile_images plot_roc get_roc normalize_feature plot_autocorrelations autocorr_plot proc_scores get_autocorr extract_single_chan compression test_on get_logp_ub get_val_batch SAVE get_recon get_proc_fn ExplicitVAE optimize VAEWarmup get_n_observations compute_fid_inception Graph do_fid_inception compute_lr main load_fid add_bool_flag discrete_logistics_likelihood RunningAverage EarlyStopper spectral_norm sn_dense tile_images save_image Infogan Wae Resnet TwoStageVaeModel lrelu batch_norm linear upsample res_fc_block scale_fc_block spectral_norm downsample conv2d deconv2d res_block scale_block int int transpose from_numpy to array clip batch_size strip truncation save basicConfig crop_ratio append parse_args to dump_dir n_samples concatenate truncated_noise_sample trange mixture_prop savez print one_hot_from_names gen_image randint roc_curve roc_auc_score concatenate format plot xlabel ylabel title get_roc median max update nr_gpu split arange nr_gpu batch_size print shuffle append trange make_feed_dict run mean var arange len autocorr5 arange astype shuffle mean append trange get_autocorr_ data flush T print reshape mean proc get_dataloaders get_roc cholesky zip append get_wn_stats nr_gpu range run sigmoid int tanh exp softplus reshape concat log_sum_exp maximum where reduce_sum sigmoid log_prob_from_logits softmax clip_by_value int_shape zeros log list reshape concatenate get_dataloader get_mutated_dataloader startswith DataLoader get_dataloader_class data images get_dataloaders DataLoader tile load_svhn join join urlretrieve st_size print extractall stat makedirs load close open maybe_download_and_extract unpickle concatenate print urlretrieve st_size stat fetch join savez concatenate endswith print reshape append listdir exists maybe_preprocess print makedirs transpose DataSet reshape MP read_data_sets load_data get_shape len get_shape reduce_max len get_shape reduce_max len range len int tanh exp softplus reshape concat maximum where reduce_sum sigmoid log_prob_from_logits int_shape zeros log minimum tanh get_shape exp one_hot reshape maximum reduce_sum random_uniform int_shape argmax log average get_variable append get_var_maybe_avg get_shape gradients Variable name square pow assign sqrt assign_add zip append zeros str get_name get_name int_shape get_name int_shape reshape dense dropout nonlinearity sigmoid conv int_shape initialized_value split int_shape int_shape pad int_shape deconv2d pad int_shape deconv2d axis tight_layout imshow title figure astype int sqrt ceil img_stretch float empty array range shape transpose img_stretch resize copy isinstance reshape scale_to_unit_interval zeros range load join print DataSet data join seed arange DataSet shuffle DataLoader dirname load seed arange DataSet shuffle maybe_download load expanduser DataSet load seed arange DataSet shuffle expanduser load seed arange DataSet shuffle expanduser reshape tile resize append range convert_mnist_data images startswith get_shape TensorShape get_operations outputs append get_tensor_by_name enumerate print reshape _get_inception_layer empty range run atleast_2d iscomplexobj warn atleast_1d dot sqrtm trace eye real abs max imag mean cov get_activations print reshape load_image_batch _get_inception_layer run empty range len mean get_activations_from_files cov print urlretrieve Path load list endswith glob calculate_activation_statistics_from_files calculate_activation_statistics close Path array str ConfigProto create_inception_graph check_or_download_inception print reshape _get_inception_layer empty range run adaptive_avg_pool2d FloatTensor print Variable reshape eval type empty cuda range mean dot sqrtm cov trace sum concatenate print min max range astype float32 concatenate expanduser fid_score print shuffle check_or_download_inception load_test_dataset get_activations_tf create_inception_graph run global_variables_initializer preprocess_fake_images preprocess_real_images InteractiveSession reshape autocorr5 arange astype shuffle mean append trange arange plot mean fill_between std plot_autocorrelations clip get_autocorr subplot autocorr_plot title hist figure legend normalize_feature get_autocorr write join savefig arange shuffle x_recon_s1 concatenate append trange run mean reshape T cholesky reshape print time_series_test get_recon figure test_type proc_scores concatenate reduce_sum logsumexp log append trange array range run append trange imencode log compute_gradients apply_gradients get_collection TRAINABLE_VARIABLES load join savez batch_size Graph calculate_activation_statistics check_or_download_inception transform_for_fid ConfigProto Session evaluate_fid_score str concatenate images getattr append reset_default_graph range run n_iter_s1 set_random_seed Saver dataset restore_s1_from save_image Session run seed open restore n_iter_s0 production decoder_warmup_s2 get_collection dir tile_images gen_qzx update compute_fid_inception Graph EarlyStopper test GLOBAL_VARIABLES get_fids ConfigProto load_fid load join reshape dict images model_checkpoint_path load_data global_variables_initializer Saver dataset Session run open restore dir update compute_fid_inception format Graph ConfigProto load join print model_checkpoint_path images load_data global_variables_initializer to_float ones_like where log_prob to_double cdf Logistic log add_argument as_list l2_normalize reshape transpose matmul stop_gradient range get_variable int use imsave replace assert_is_compatible_with assert_is_fully_defined shape as_list | thu-ml/ood-dgm | 3,866 |
thu-spmi/LABES | ['end to end dialogue modelling'] | ['A Probabilistic End-To-End Task-Oriented Dialog Model with Latent Belief States towards Semi-Supervised Learning'] | get_glove_vec.py train.py modules.py metric.py smc_model.py rnn_net.py ontologies.py base_model.py multiwoz_preprocess.py config.py vae_model.py reader.py datasets.py copy_modules.py utils.py vocab.py BaseModel _Config PriorDecoder_Pa PosteriorDecoder_Qz DomainClassifier PriorDecoder_Pz get_selective_read PosteriorDecoder_Qa ResponseDecoder_Pm CamRest676 Kvret Multiwoz Dataset MultiwozDB similar metric_handler CamRestEvaluator BLEUScorer setsim MultiwozEvaluator setsub KvretEvaluator GenericEvaluator get_one_hot_input get_sparse_input_efficient Attn shift Encoder cuda_ ST_gumbel_softmax_sample gumbel_softmax DynamicEncoder clean_time DataPreprocessor clean_text KvretOntology MultiwozOntology CamRest676Ontology Ontology MultiwozReader _ReaderBase CamRest676Reader KvretReader orth_gru LayerNormalization Attn cuda_ DynamicEncoder SemiBootstrapSMC main parse_arg_cfg Model toss_ position_encoding_init clean_replace BeamState nan padSeqs write_dict MultinomialKLDivergenceLoss_Corr SemiCVAE MultinomialKLDivergenceLoss Vocab bmm masked_fill_ stack unsqueeze softmax float similar append run_metrics dump add_argument file ArgumentParser parse_args ev_class to_one_hot fill zeros float range cat fill_ size sample_gumbel view size scatter_ max detach sub items replace strip lower sub clean_time size all_weights orthogonal_ reset_parameters range hidden_size dtype setattr tuple cfg getattr type split cuda_device exp_no eval_load_path init_logging_handler parse_arg_cfg exp_path save_log loads ArgumentParser dataset cuda seed str freeze_module load_model set_device Model count_params save_result_report parse_args spv_proportion load_glove_embedding current_device init_handler format replace eval glove_init lr mkdir info manual_seed model_path setattr join read items z_length save_vocab add_argument global_record_path train dropout_rate method mode clean_replace_single asarray print tuple min astype append max enumerate len array cos sin | thu-spmi/LABES | 3,867 |
thuiar/DeepUnkID | ['intent detection'] | ['Deep Unknown Intent Detection with Margin Loss'] | utils.py experiment.py models.py get_coefs large_margin_cosine_loss BiLSTM_LMCL set_allow_growth get_score plot_confusion_matrix load_data Bidirectional Embedding Lambda Sequential plot_model Adam add Dense LSTM Activation compile Dropout ConfigProto set_session Session T append round print range arange xticks max yticks ylabel colorbar set_printoptions imshow title savefig range format product astype tight_layout print text xlabel figure len | thuiar/DeepUnkID | 3,868 |
thunlp/Character-enhanced-Sememe-Prediction | ['common sense reasoning'] | ['Incorporating Chinese Characters of Words for Lexical Sememe Prediction'] | test_data_generator.py Ensemble_model_internal.py Ensemble_model_CSP.py Sememe_PMI_Matrix_Generator.py Ensemble_model_external.py SPCSE_train.py hownet_corpus_data_picker.py scorer.py SPWCF_prediction.py SPCSE_prediction.py pickle_version_change.py preprocess_encoding | thunlp/Character-enhanced-Sememe-Prediction | 3,869 |
thunlp/Chinese_NRE | ['relation extraction'] | ['Chinese Relation Extraction with Multi-Grained Information and External Linguistic Knowledge'] | utils/gazetteer.py utils/data.py nn/framework.py nn/mglattice.py nn/classifier.py utils/data_manager.py utils/__init__.py utils/metric.py nn/__init__.py nn/charbilstm.py configure.py nn/encoder.py nn/charcnn.py utils/functions.py main.py utils/alphabet.py utils/trie.py evaluate lr_decay evaluate_forward train load_eval CharBiLSTM CharCNN AttClassifier BiLstmEncoder MGLattice_model LatticeLSTM SenseLSTMCell convert_forward_gaz_to_backward WordLSTMCell MultiInputLSTMCell init_list_of_objects Alphabet Data load_data load_data_setting data_initialization save_data_setting get_pos_embeded build_pretrain_embedding str2list list_find normalize_word read_instance_with_gaz_mode norm2one load_pretrain_emb Gazetteer cal_f1 calc_evaluation Trie TrieNode list time batch_iter model set eval append numpy range evaluate_forward load time print HP_gpu evaluate_forward load_state_dict calc_evaluation is_available cuda MGLattice_model print param_groups batch_iter model zero_grad SGD save cuda str FloatTensor Adam lr_decay CrossEntropyLoss range state_dict format HP_lr HP_iteration HP_gpu HP_lr_decay time Optimizer evaluate backward print weights parameters filter save_data_setting show_data_summary loss_fn step MGLattice_model append list range append range init_list_of_objects len print deepcopy print show_data_summary build_gaz_alphabet build_word_sense_map build_label_alphabet build_words_larger_one_set fix_alphabet build_alphabet build_gaz_file train_file dev_file dataset Data build_gaz_pretrain_emb char_emb_file relation2id max_length word_sense_map build_biword_pretrain_emb enabled build_word_pretrain_emb data_initialization Encoder build_weights lower lr is_available generate_instance_with_gaz set_maxlen join public_path print load_data_setting sense_emb_file test_file savedset isdigit append sub len range len enumerateMatchList get_index max open str list space append range UNKNOWN get_pos_embeded str2list set list_find enumerate join print sort dict normalize_word split len iteritems print len dict sqrt uniform norm2one empty load_pretrain_emb sqrt sum square dict sorted cal_f1 auc append float array range enumerate len | thunlp/Chinese_NRE | 3,870 |
thunlp/CorefBERT | ['relation extraction'] | ['Coreferential Reasoning Learning for Language Representation'] | transformers/modeling_roberta.py transformers/tokenization_xlnet.py Pretrain/gen_copy_data_MRP.py transformers/configuration_gpt2.py transformers/convert_bert_pytorch_checkpoint_to_original_tf.py transformers/modeling_openai.py transformers/modeling_auto.py transformers/data/metrics/__init__.py transformers/tests/modeling_openai_test.py FEVER/fever-scorer/tests/test_scorer_isstrictlycorrect.py transformers/tokenization_xlm.py transformers/tokenization_bert.py FEVER/fever-scorer/tests/test_scorer_iscorrect.py MRQA/utils_squad.py FEVER/fever-scorer/tests/test_precision.py DocRED/REModel.py QUOREF/utils_squad_evaluate.py transformers/modeling_tf_transfo_xl_utilities.py QUOREF/utils_squad.py transformers/modeling_tf_ctrl.py transformers/convert_xlnet_original_tf_checkpoint_to_pytorch.py transformers/tests/modeling_roberta_test.py transformers/tests/modeling_tf_auto_test.py transformers/modeling_bert.py transformers/modeling_tf_openai.py transformers/data/processors/utils.py transformers/modeling_transfo_xl_utilities.py transformers/tokenization_auto.py QUOREF/quoref_eval.py transformers/tests/modeling_tf_xlnet_test.py transformers/tests/modeling_gpt2_test.py transformers/modeling_tf_gpt2.py MRQA/split.py transformers/modeling_tf_pytorch_utils.py transformers/tests/tokenization_ctrl_test.py transformers/configuration_bert.py transformers/configuration_ctrl.py transformers/tokenization_gpt2.py transformers/tests/modeling_tf_ctrl_test.py FEVER/data_loader.py transformers/configuration_transfo_xl.py Pretrain/gen_copy_data_memmap.py transformers/modeling_distilbert.py transformers/tests/modeling_bert_test.py Pretrain/WikiExtractor.py transformers/data/processors/glue.py transformers/modeling_encoder_decoder.py transformers/modeling_transfo_xl.py transformers/optimization.py transformers/modeling_tf_xlm.py transformers/tests/optimization_test.py transformers/convert_roberta_original_pytorch_checkpoint_to_pytorch.py transformers/tokenization_utils.py transformers/__main__.py transformers/modeling_camembert.py FEVER/fever-scorer/tests/test_realdata.py transformers/tokenization_roberta.py transformers/tests/tokenization_tests_commons.py transformers/tests/modeling_tf_bert_test.py MRQA/run_squad.py transformers/data/__init__.py FEVER/fever-scorer/tests/test_dev_data.py transformers/tests/modeling_transfo_xl_test.py transformers/tests/tokenization_bert_test.py transformers/tokenization_ctrl.py FEVER/fever-scorer/setup.py transformers/modeling_ctrl.py transformers/convert_bert_original_tf_checkpoint_to_pytorch.py transformers/tests/tokenization_distilbert_test.py transformers/tests/modeling_common_test.py transformers/tests/modeling_tf_openai_gpt_test.py transformers/tests/modeling_tf_distilbert_test.py Pretrain/run_pretrain.py transformers/convert_xlm_original_pytorch_checkpoint_to_pytorch.py DocRED/config/Config.py FEVER/train.py transformers/tokenization_transfo_xl.py transformers/tests/tokenization_transfo_xl_test.py transformers/modeling_gpt2.py transformers/tests/tokenization_xlnet_test.py FEVER/fever-scorer/tests/test_realdata_100.py QUOREF/run_quoref.py transformers/configuration_roberta.py transformers/tests/modeling_xlnet_test.py FEVER/models.py transformers/configuration_openai.py FEVER/fever_score_test.py FEVER/fever-scorer/tests/test_scorer_dataset.py DocRED/gen_data.py transformers/modeling_tf_distilbert.py transformers/modeling_tf_xlnet.py transformers/convert_gpt2_original_tf_checkpoint_to_pytorch.py transformers/tests/configuration_common_test.py FEVER/fever-scorer/tests/test_evidence_format.py transformers/file_utils.py transformers/tests/modeling_tf_xlm_test.py FEVER/test.py FEVER/fever-scorer/tests/test_recall.py transformers/modeling_tf_bert.py transformers/modeling_xlm.py FEVER/fever-scorer/build/lib/fever/scorer.py transformers/convert_transfo_xl_original_tf_checkpoint_to_pytorch.py transformers/tests/modeling_auto_test.py Pretrain/gen_copy_data_NN.py transformers/tests/tokenization_roberta_test.py transformers/configuration_camembert.py transformers/tests/tokenization_xlm_test.py transformers/tests/tokenization_gpt2_test.py transformers/configuration_xlnet.py transformers/modeling_tf_utils.py transformers/data/processors/__init__.py FEVER/generate_submit.py DocRED/test.py transformers/modeling_beam_search.py transformers/tests/conftest.py transformers/tests/modeling_tf_common_test.py transformers/tests/modeling_distilbert_test.py transformers/convert_pytorch_checkpoint_to_tf2.py transformers/tests/modeling_tf_gpt2_test.py transformers/tests/modeling_xlm_test.py transformers/tests/tokenization_openai_test.py transformers/tests/tokenization_utils_test.py transformers/modeling_tf_transfo_xl.py transformers/convert_openai_original_tf_checkpoint_to_pytorch.py transformers/modeling_tf_auto.py transformers/__init__.py transformers/configuration_utils.py transformers/configuration_xlm.py transformers/tests/modeling_ctrl_test.py FEVER/file_utils.py transformers/tests/modeling_tf_roberta_test.py DocRED/config/__init__.py transformers/modeling_tf_roberta.py transformers/tests/tokenization_auto_test.py transformers/configuration_distilbert.py FEVER/fever-scorer/src/fever/scorer.py transformers/modeling_xlnet.py transformers/tokenization_camembert.py transformers/tokenization_distilbert.py transformers/tokenization_openai.py MRQA/utils_squad_evaluate.py transformers/modeling_utils.py DocRED/train.py transformers/tests/modeling_encoder_decoder_test.py FEVER/fever-scorer/tests/test_max_evidence.py transformers/tests/modeling_tf_transfo_xl_test.py transformers/configuration_auto.py main REModel Accuracy MyDataset Config DataLoaderTest tok2int_list _truncate_seq_pair DataLoader tok2int_sent is_torch_available cached_path s3_etag http_get s3_request s3_get get_from_cache add_start_docstrings filename_to_url url_to_filename split_s3_path is_tf_available add_end_docstrings kernal_mus kernel_sigmas inference_model eval_model train_model set_seed eval_model accuracy correct_prediction is_strictly_correct evidence_macro_precision check_predicted_evidence_format evidence_micro_precision fever_score is_correct_label evidence_macro_recall is_strictly_correct evidence_macro_precision check_predicted_evidence_format evidence_micro_precision fever_score is_correct_label evidence_macro_recall TestRealData TestEvidenceRequirements MaxEvidenceTestCase PrecisionTestCase TestRealData TestRealData100 RecallTestCase FeverScorerTestCase IsCorrectTestCase IsStrictlyCorrectTestCase set_seed evaluate main to_list train load_and_cache_examples _check_is_max_context _compute_softmax write_predictions_extended InputFeatures get_final_text _improve_answer_span _get_best_indexes read_squad_examples convert_examples_to_features SquadExample write_predictions find_best_thresh find_all_best_thresh_v2 apply_no_ans_threshold make_qid_to_has_ans make_eval_dict plot_pr_curve parse_args make_precision_recall_eval find_all_best_thresh compute_exact main merge_eval EVAL_OPTS compute_f1 find_best_thresh_v2 normalize_answer run_precision_recall_analysis histogram_na_prob get_raw_scores get_tokens main main main TextDataset set_seed InputFeatures train main to_list _rotate_checkpoints load_and_cache_examples roman_main load_templates normalizeTitle functionParams if_empty normalizeNamespace Extractor keepPage findMatchingBraces string_replace findBalanced TemplateArg pages_from dropSpans string_len ucfirst handle_unicode string_find string_rep sharp_if unescape compact sharp_iferror sharp_invoke sharp_ifeq dropNested get_url Infix makeInternalLink makeExternalLink replaceExternalLinks MagicWords OutputSplitter lcfirst NextFile sharp_switch process_dump string_sublength sharp_expr createLogger Template TemplateText reduce_process Frame replaceInternalLinks main splitParts makeExternalImage extract_process define_template callParserFunction ignoreTag string_pos fullyQualifiedTemplateTitle string_sub SimpleNamespace _remove_articles _answer_to_bags _is_number get_metrics _get_answers_from_data evaluate_json _tokenize evaluate_on_quoref _compute_f1 _align_bags _match_numbers_if_present _white_space_fix _normalize_answer _remove_punc _lower _normalize_number set_seed evaluate main to_list train load_and_cache_examples _check_is_max_context _compute_softmax InputFeatures get_final_text _improve_answer_span write_predictions_multi _get_best_indexes read_squad_examples convert_examples_to_features SquadExample find_best_thresh find_all_best_thresh_v2 apply_no_ans_threshold make_qid_to_has_ans make_eval_dict plot_pr_curve parse_args make_precision_recall_eval find_all_best_thresh compute_exact main merge_eval EVAL_OPTS compute_f1 find_best_thresh_v2 normalize_answer run_precision_recall_analysis histogram_na_prob get_raw_scores get_tokens AutoConfig BertConfig CamembertConfig CTRLConfig DistilBertConfig GPT2Config OpenAIGPTConfig RobertaConfig TransfoXLConfig PretrainedConfig XLMConfig XLNetConfig main convert_pytorch_checkpoint_to_tf convert_gpt2_checkpoint_to_pytorch convert_openai_checkpoint_to_pytorch convert_all_pt_checkpoints_to_tf convert_pt_checkpoint_to_tf convert_roberta_checkpoint_to_pytorch convert_transfo_xl_checkpoint_to_pytorch convert_xlm_checkpoint_to_pytorch convert_xlnet_checkpoint_to_pytorch is_torch_available cached_path s3_etag http_get s3_request s3_get get_from_cache add_start_docstrings filename_to_url url_to_filename split_s3_path is_tf_available add_end_docstrings AutoModel AutoModelForQuestionAnswering AutoModelWithLMHead AutoModelForSequenceClassification TransformerBeamSearch tile BertPreTrainingHeads BertForQuestionAnswering BertForQuestionAnsweringForQUOREF gelu_new BertForSequenceEncoder BertEncoder BertSelfAttention BertForMaskedLM BertOnlyMLMHead BertOnlyNSPHead BertEmbeddings BertOutput BertPredictionHeadTransform BertForCopy BertAttention BertPooler gelu BertPreTrainedModel BertForMultipleChoice BertLayer BertForTokenClassification BertModel BertForNextSentencePrediction BertIntermediate BertForSequenceClassification BertForPreTraining swish BertForQuestionAnsweringForMRQA BertLMPredictionHead load_tf_weights_in_bert BertSelfOutput CamembertForSequenceClassification CamembertModel CamembertForMaskedLM CamembertForMultipleChoice CamembertForTokenClassification point_wise_feed_forward_network scaled_dot_product_attention CTRLLMHeadModel MultiHeadAttention CTRLModel angle_defn positional_encoding CTRLPreTrainedModel EncoderLayer PreTrainedEncoderDecoder Model2LSTM Model2Model GPT2LMHeadModel Block GPT2DoubleHeadsModel load_tf_weights_in_gpt2 MLP gelu GPT2PreTrainedModel GPT2Model Attention Block OpenAIGPTPreTrainedModel MLP gelu swish OpenAIGPTDoubleHeadsModel OpenAIGPTLMHeadModel Attention OpenAIGPTModel load_tf_weights_in_openai_gpt RobertaForSequenceClassification RobertaForSequenceEncoder RobertaForQuestionAnsweringForQUOREF RobertaLMHead RobertaClassificationHead RobertaForTokenClassification RobertaForQuestionAnsweringForMRQA RobertaEmbeddings RobertaForCopy RobertaForQuestionAnswering RobertaForMultipleChoice RobertaForMaskedLM RobertaModel TFAutoModelForSequenceClassification TFAutoModelForQuestionAnswering TFAutoModel TFAutoModelWithLMHead TFBertModel TFBertAttention TFBertPreTrainedModel gelu_new TFBertForPreTraining TFBertIntermediate TFBertNSPHead TFBertForMaskedLM TFBertSelfAttention TFBertLayer TFBertPredictionHeadTransform TFBertEmbeddings TFBertEncoder TFBertPooler TFBertOutput TFBertForSequenceClassification TFBertForTokenClassification gelu TFBertMainLayer TFBertSelfOutput TFBertForNextSentencePrediction TFBertMLMHead swish TFBertForMultipleChoice TFBertForQuestionAnswering TFBertLMPredictionHead point_wise_feed_forward_network scaled_dot_product_attention TFCTRLLMHeadModel TFEncoderLayer TFMultiHeadAttention TFCTRLPreTrainedModel angle_defn TFCTRLModel TFCTRLMainLayer positional_encoding TFCTRLLMHead TFDistilBertForMaskedLM TFDistilBertPreTrainedModel TFFFN TFDistilBertMainLayer TFDistilBertForQuestionAnswering gelu TFMultiHeadSelfAttention TFDistilBertModel TFTransformerBlock TFTransformer TFDistilBertForSequenceClassification TFEmbeddings gelu_new TFDistilBertLMHead TFAttention TFGPT2MainLayer TFMLP TFGPT2LMHeadModel TFGPT2Model gelu TFGPT2PreTrainedModel TFGPT2DoubleHeadsModel TFBlock TFAttention TFMLP gelu swish TFOpenAIGPTModel TFOpenAIGPTMainLayer TFOpenAIGPTPreTrainedModel TFOpenAIGPTLMHeadModel TFOpenAIGPTDoubleHeadsModel TFBlock load_pytorch_model_in_tf2_model load_pytorch_weights_in_tf2_model convert_tf_weight_name_to_pt_weight_name load_pytorch_checkpoint_in_tf2_model load_tf2_checkpoint_in_pytorch_model load_tf2_weights_in_pytorch_model load_tf2_model_in_pytorch_model TFRobertaForTokenClassification TFRobertaForMaskedLM TFRobertaLMHead TFRobertaForSequenceClassification TFRobertaClassificationHead TFRobertaPreTrainedModel TFRobertaMainLayer TFRobertaEmbeddings TFRobertaModel TFPositionalEmbedding TFTransfoXLLMHeadModel TFTransfoXLPreTrainedModel TFRelPartialLearnableDecoderLayer TFPositionwiseFF TFAdaptiveEmbedding TFTransfoXLMainLayer TFRelPartialLearnableMultiHeadAttn TFTransfoXLModel TFAdaptiveSoftmaxMask TFSequenceSummary TFPreTrainedModel TFSharedEmbeddings TFConv1D get_initializer shape_list TFXLMModel get_masks create_sinusoidal_embeddings TFTransformerFFN gelu TFMultiHeadAttention TFXLMPreTrainedModel TFXLMForSequenceClassification TFXLMWithLMHeadModel TFXLMForQuestionAnsweringSimple TFXLMPredLayer TFXLMMainLayer TransfoXLModel PositionalEmbedding load_tf_weights_in_transfo_xl AdaptiveEmbedding TransfoXLPreTrainedModel RelPartialLearnableDecoderLayer TransfoXLLMHeadModel PositionwiseFF build_tf_to_pytorch_map RelPartialLearnableMultiHeadAttn ProjectedAdaptiveLogSoftmax LogUniformSampler sample_logits prune_layer SQuADHead PoolerAnswerClass SequenceSummary prune_linear_layer prune_conv1d_layer PoolerEndLogits Conv1D PreTrainedModel PoolerStartLogits XLMModel XLMWithLMHeadModel XLMPreTrainedModel XLMPredLayer XLMForSequenceClassification get_masks create_sinusoidal_embeddings MultiHeadAttention gelu XLMForQuestionAnswering TransformerFFN XLMForQuestionAnsweringSimple XLNetRelativeAttention XLNetPreTrainedModel XLNetForQuestionAnswering build_tf_xlnet_to_pytorch_map XLNetLMHeadModel XLNetForMultipleChoice gelu swish XLNetForQuestionAnsweringSimple load_tf_weights_in_xlnet XLNetFeedForward XLNetForSequenceClassification XLNetModel XLNetLayer get_constant_schedule_with_warmup AdamW get_linear_schedule_with_warmup get_constant_schedule get_cosine_with_hard_restarts_schedule_with_warmup get_cosine_schedule_with_warmup AutoTokenizer BasicTokenizer WordpieceTokenizer load_vocab whitespace_tokenize _is_whitespace _is_control BertTokenizer _is_punctuation CamembertTokenizer get_pairs CTRLTokenizer DistilBertTokenizer bytes_to_unicode get_pairs GPT2Tokenizer get_pairs text_standardize OpenAIGPTTokenizer RobertaTokenizer LMOrderedIterator TransfoXLCorpus TransfoXLTokenizer LMMultiFileIterator get_lm_corpus LMShuffledIterator PreTrainedTokenizer get_pairs replace_unicode_punct remove_non_printing_char romanian_preprocessing XLMTokenizer lowercase_and_remove_accent XLNetTokenizer main convert_tf_checkpoint_to_pytorch Transformer DistilBertForSequenceClassification DistilBertForTokenClassification create_sinusoidal_embeddings DistilBertForMaskedLM gelu Embeddings FFN DistilBertPreTrainedModel TransformerBlock DistilBertForQuestionAnswering DistilBertModel MultiHeadSelfAttention TFXLNetRelativeAttention TFXLNetPreTrainedModel gelu swish TFXLNetModel TFXLNetForSequenceClassification TFXLNetForQuestionAnsweringSimple TFXLNetLMHead TFXLNetLMHeadModel TFXLNetLayer TFXLNetFeedForward TFXLNetMainLayer simple_accuracy pearson_and_spearman glue_compute_metrics is_sklearn_available acc_and_f1 MrpcProcessor ColaProcessor MnliMismatchedProcessor QqpProcessor MnliProcessor StsbProcessor QnliProcessor RteProcessor glue_convert_examples_to_features WnliProcessor Sst2Processor InputFeatures DataProcessor InputExample _config_zero_init TFCommonTestCases ids_tensor TFModelUtilsTest TemporaryDirectory ConfigTester pytest_addoption pytest_collection_modifyitems use_cuda pytest_configure AutoModelTest BertModelTest ConfigTester ModelUtilsTest _config_zero_init CommonTestCases floats_tensor ids_tensor TemporaryDirectory CTRLModelTest DistilBertModelTest EncoderDecoderModelTest GPT2ModelTest OpenAIGPTModelTest RobertaModelTest RobertaModelIntegrationTest TFAutoModelTest TFBertModelTest TFCTRLModelTest TFDistilBertModelTest TFGPT2ModelTest TFOpenAIGPTModelTest TFRobertaModelTest TFRobertaModelIntegrationTest TFTransfoXLModelTest TFXLMModelTest TFXLNetModelTest TransfoXLModelTest XLMModelTest XLNetModelTest ScheduleInitTest unwrap_and_save_reload_schedule OptimizationTest unwrap_schedule AutoTokenizerTest BertTokenizationTest CTRLTokenizationTest DistilBertTokenizationTest GPT2TokenizationTest OpenAIGPTTokenizationTest RobertaTokenizationTest TemporaryDirectory CommonTestCases TransfoXLTokenizationTest TokenizerUtilsTest XLMTokenizationTest XLNetTokenizationTest from_pretrained join model_name_or_path max_seq_length data_dir add_argument set model_type ArgumentParser output_dir init parse_args makedirs pop len _truncate_seq_pair convert_tokens_to_ids tokenize len append list enumerate tok2int_sent encode endswith hexdigest sha256 str join str urlparse exists path netloc urlparse startswith resource split_s3_path Object resource split_s3_path download_fileobj get update write close tqdm iter_content len get str s3_etag decode join list url_to_filename filter startswith listdir head makedirs append range sum type_as double sum type_as double eval total_num enumerate model gradient_accumulation_steps model get_linear_schedule_with_warmup clip_grad_norm_ zero_grad outdir total_num range format nll_loss num_train_epochs info enumerate int backward AdamW parameters train step train_batch_size seed manual_seed_all manual_seed all check_predicted_evidence_format len all is_strictly_correct evidence_macro_precision len is_correct_label evidence_macro_recall enumerate gradient_accumulation_steps model get_linear_schedule_with_warmup tuple clip_grad_norm_ zero_grad DataLoader DataParallel DistributedDataParallel max_grad_norm output_dir save max initialize set_seed logging_steps master_params SummaryWriter format close mean save_pretrained num_train_epochs info fp16 trange per_gpu_train_batch_size max_steps enumerate int items n_gpu join evaluate backward AdamW add_scalar print makedirs tqdm parameters step train_batch_size len tuple RawResult DataLoader DataParallel output_dir max_answer_length max eval_batch_size per_gpu_eval_batch_size default_timer write_predictions do_lower_case n_best_size append format eval evaluate_on_squad info verbose_logging RawResultExtended EVAL_OPTS enumerate int join n_gpu makedirs tqdm version_2_with_negative null_score_diff_threshold unique_id load_and_cache_examples len pop join str format load arange max_seq_length size barrier read_squad_examples TensorDataset dirname convert_examples_to_features info save tensor enable_attach DataParallel warning device do_train save eval_all_checkpoints setLevel basicConfig list set_seed set_device device_count no_cuda to WARN update format init_process_group lower register_half_function save_pretrained info fp16 wait_for_attach train n_gpu evaluate print barrier dict bool load_and_cache_examples local_rank join readline is_whitespace len whitespace_tokenize loads warning SquadExample append open _DocSpan end_position _improve_answer_span is_impossible orig_answer_text length convert_tokens_to_ids append range doc_tokens InputFeatures question_text start zip tokenize enumerate _check_is_max_context namedtuple tqdm start_position len join tokenize range length start min enumerate strip end_logit _get_best_indexes sorted defaultdict get_final_text _NbestPrediction end_logits OrderedDict append start_logit replace _compute_softmax insert start_logits info enumerate join namedtuple text _PrelimPrediction split end_log_prob cls_logits strip find_all_best_thresh_v2 make_qid_to_has_ans sorted defaultdict get_final_text _NbestPrediction do_lower_case OrderedDict append range _compute_softmax info convert_tokens_to_string enumerate join namedtuple text min _PrelimPrediction get_raw_scores start_log_prob split join _strip_spaces items BasicTokenizer len info tokenize find sorted append range enumerate len append exp add_argument exit ArgumentParser print_help bool Counter get_tokens sum values len print max items float len xlabel ylabel ylim title savefig clf fill_between xlim step sorted plot_pr_curve append float enumerate sum make_precision_recall_eval merge_eval makedirs join ones_like xlabel ylabel title hist savefig clf float len sorted sum enumerate sorted sum enumerate find_best_thresh find_best_thresh_v2 data_file loads apply_no_ans_threshold out_file make_qid_to_has_ans open make_eval_dict na_prob_file append readline find_all_best_thresh merge_eval na_prob_thresh run_precision_recall_analysis histogram_na_prob dumps get_raw_scores out_image_dir sorted dump max_copy_per_seq max_coref_np add_file memmap train_token_corpus listdir exists short_seq_prob train_NN_corpus masked_lm_prob keys int bert_model train_corpus TextDataset join sorted format save_total_limit glob rmtree match output_dir info append max len _rotate_checkpoints create_exp_dir debug match str filter_disambig_pages normalizeNamespace strip group match sub ucfirst append DOTALL IGNORECASE compile DOTALL compile findMatchingBraces extend split pop end search start append compile pop join end search group start append compile get str get int functionParams len get int functionParams get functionParams get int functionParams get int functionParams get int functionParams get int functionParams get int float match group startswith normalizeNamespace sub expand strip expand strip match strip expand split get templateParams debug frame sharp_invoke warn prev lower fullyQualifiedTemplateTitle depth args join unescape group warn match sub DOTALL IGNORECASE finditer end search append IGNORECASE compile sort rstrip end rfind strip group match findBalanced find keepLinks find end group match makeExternalImage finditer keepLinks keepLinks clear items sorted format list keepSections strip group reversed match split toHTML startswith zip_longest append keepLists keys len int join templates info define_template len write close templateNamespace find pages_from moduleNamespace enumerate open decode search group add set startswith append stdin decode load_templates expand_templates templates search keepPage put pages_from max exists Process default_timer groups templateNamespace moduleNamespace append sleep range Value group close start Queue info join FileInput len get extract seek debug Extractor createLogger close getvalue put quiet log_file truncate StringIO NextFile get info debug createLogger default_timer warn write close quiet log_file encode OutputSplitter len extract discard_elements templates ignored_tags cpu_count article links log_file pages_from lists max html compress no_templates revision split quiet min_text_length input process_dump json debug createLogger close sections stdout filter_disambig_pages add_argument_group FileInput namespaces output filter_category processes ignoreTag keep_tables find getLogger addHandler DEBUG setLevel INFO FileHandler UNICODE compile strip float _is_number isinstance set _normalize_answer append split _compute_f1 linear_sum_assignment _match_numbers_if_present zip zeros max enumerate float intersection len add _is_number set mean _answer_to_bags _align_bags round get_metrics items format print tuple mean append _get_answers_from_data max load evaluate_json open endswith update startswith evaluate_on_quoref RawResult_multi write_predictions_multi max_n_answers get choice strip end_logit _get_best_indexes max sorted defaultdict get_final_text _NbestPrediction len end_logits OrderedDict answer_num append start_logit range replace _compute_softmax insert start_logits info enumerate join namedtuple text min _PrelimPrediction split reset_default_graph state_dict makedirs convert_pytorch_checkpoint_to_tf format load_tf_weights_in_gpt2 print GPT2Model save from_json_file GPT2Config state_dict format OpenAIGPTConfig print OpenAIGPTModel save load_tf_weights_in_openai_gpt from_json_file state_dict cached_path str from_pretrained format model_class constant print abs load_pytorch_checkpoint_in_tf2_model save_weights tf_model tensor numpy from_json_file amax cached_path list format remove zip print convert_pt_checkpoint_to_tf isfile keys enumerate len from_pretrained num_classes zeros_like allclose print num_hidden_layers bias extract_features eval BertConfig shape save_pretrained item sentence_encoder weight range pop str join format __dict__ load_tf_weights_in_transfo_xl print TransfoXLLMHeadModel save abspath TransfoXLConfig from_json_file state_dict load items format print dict save str join format XLNetForQuestionAnswering print XLNetLMHeadModel XLNetForSequenceClassification load_tf_weights_in_xlnet abspath save from_json_file state_dict list view size contiguous range len load_variable join int format info zip transpose fullmatch from_numpy any getattr list_variables abspath append split pow cos angle_defn unsqueeze sin cat sqrt softmax permute matmul load_variable int format info zip squeeze fullmatch from_numpy getattr list_variables abspath append split load pop int format zip cumsum fullmatch from_numpy split getattr dirname info open sqrt erf pow tanh sqrt pi power float32 concatenate cast float32 cast pow tanh pi join replace sub bool split load format abspath info state_dict base_model_prefix trainable_weights tf_model list discard name transpose squeeze non_trainable_weights append expand_dims format replace convert_tf_weight_name_to_pt_weight_name set dummy_inputs info zip keys batch_set_value pop numpy config format load_weights getattr dummy_inputs abspath info tf_model tf_model_class __name__ weights items list format discard convert_tf_weight_name_to_pt_weight_name name transpose squeeze base_model_prefix named_parameters dict set from_numpy load_state_dict info expand_dims keys __name__ constant as_list shape constant array cos sin less_equal assert_equal shape_list cast tile less range count update r_r_bias hasattr tie_weight layers out_layers tie_projs emb_layers r_w_bias transformer emb_projs untie_r zip append out_projs enumerate load_variable pop items format join transpose from_numpy list_variables info keys build_tf_to_pytorch_map enumerate embedding view size einsum masked_fill_ sample cat detach list size len contiguous copy_ device to detach list size len contiguous copy_ device to detach isinstance Linear detach_ FloatTensor size arange count update r_r_bias r_s_bias hasattr r_w_bias bias transformer untie_r seg_embed append weight layer enumerate load_variable pop items format join isinstance build_tf_xlnet_to_pytorch_map transpose from_numpy list_variables info keys enumerate OrderedDict rstrip enumerate strip split category category startswith startswith category ord add set append list range ord sub replace load join format TransfoXLCorpus save info exists join category lower append normalize sub replace append category startswith replace pop convert_openai_checkpoint_to_pytorch convert_transfo_xl_checkpoint_to_pytorch convert_tf_checkpoint_to_pytorch convert_xlm_checkpoint_to_pytorch convert_gpt2_checkpoint_to_pytorch convert_xlnet_checkpoint_to_pytorch str format print BertForPreTraining save load_tf_weights_in_bert from_json_file state_dict simple_accuracy f1_score join text_b InputFeatures len get_labels tfds_map guid info label get_example_from_tensor_dict float text_a enumerate append encode_plus deepcopy setattr keys constant Random append randint range addoption addinivalue_line getoption skip add_marker append random range append step get_lr range append step get_lr range | thunlp/CorefBERT | 3,871 |
thunlp/DIAG-NRE | ['relation extraction'] | ['DIAG-NRE: A Neural Pattern Diagnosis Framework for Distantly Supervised Neural Relation Extraction'] | src/total_eval.py src/relation_train.py batch_eval_total.py src/relation_task.py batch_retrain_rel.py batch_train_agent.py src/optims.py src/models.py src/relation_eval.py src/args.py src/agent_train.py src/utils.py batch_common.py src/agent_task.py batch_train_rel.py src/rule_helpers.py batch_train_diag.py src/label_factory.py src/diag_retrain.py read_base_config wait_for_idle_gpu generate_new_config query_gpu_usage get_idle_gpu batch_do_task EraseAgent discounted_rewards aggregate_rule_info batch_aggregate_loss aggregate_loss update_rule_info RelationEnv deep_rule_extraction parse_args batch_aggregate_rule_info rule_diagnosis_and_retrain estimate_distant_supervision_accuracy batch_eval_agent_erasure batch_update_rule_info build_rule_hierarchy_from rule_refinement BatchLabeler _get_num_task_and_mini_batch_ranges LabelFactory _terminate_label_procs create_label_func _get_num_proc_and_mini_batch_ranges RelationSparseAttBiLSTM detail_lstm_cell WordLSTM RelationPCNN ErasurePolicy BinarySoftNLLLoss RelationAttBiLSTM RelationLSTM TruncateAdam TruncateSGD RelationTask RuleHierarchy extract_valid_rule_infos RuleGenerativeModel contain_meaningful_word estimate_rule_parameter create_diagnosed_train_data merge_common_rules print_rule_info_set_statstics extract_rule_to_label print_rule_hierarchy filter_neg_rule_func truncate_prob filter_pos_rule_func build_label_from_rule transform_labeled_data get_rule_quality print_rule_info print_rule_str print_rule_infos get_filtered_rules get_rule_match_stats get_decision_rules build_rule_hierarchy build_label_matrix total_select_best_model total_eval_relation_models build_salient_phrase_candidates random_init_certain_vector save_checkpoint wait_idle_gpu resume_checkpoint MyVec set_all_random_seed build_field_vocabulary get_confusion_matrix get_gpu_mem_usage build_field_vocab_from_dataset retrain_and_evaluate id_to_word plot_multi_pr_curves build_field_vocab_from_file show_word_scores_heatmap get_salient_phrases apply_gpu_memory build_field_vocab_from_dict resume_and_evaluate show_word_score_heatmap plot_multi_agg_pr_curves join join format print read_base_config asctime startswith append split join format rstrip readlines popen float split append items sort query_gpu_usage format print asctime sleep get_idle_gpu format print wait_for_idle_gpu copy generate_new_config asctime sleep append Popen len append zip size zip zeros_like len append reverse raw_dev_examples join format merge_common_rules print sort tolist raw_train_examples raw_test_examples LabelFactory mean append batch_annotate get_rule_quality tocsc enumerate raw_dev_examples join format print sort tolist raw_train_examples raw_test_examples LabelFactory append batch_annotate get_rule_quality tocsc enumerate join filter_environment_train_set format EraseAgent config batch_train aggregate_rule_info print batch_eval model_type asctime device state_size RelationEnv print add_argument ArgumentParser config join format EraseAgent replace filter_environment_train_set print batch_eval resume_policy_from set_reward_eta model_type split device listdir state_size RelationEnv join format replace aggregate_rule_info print model_type startswith split listdir RelationEnv raw_dev_examples join format print RelationEnv model_type startswith update_rule_info listdir len join format print asctime startswith build_rule_hierarchy listdir format extract_valid_rule_infos print print_rule_info_set_statstics build_rule_hierarchy_from join create_diagnosed_train_data format build_rule_hierarchy_from examples print print_rule_info_set_statstics RelationTask model_dir model_type asctime dirname max_diag_anno estimate_distant_supervision_accuracy dump_rule_info policy_train_filter_prob rule_refinement int join Label format print to_dict read_csv compile add set startswith append enumerate split append range append range join terminate linear tanh chunk sigmoid join defaultdict format replace print actions words escape zip append len items defaultdict format Id print sort actions words len zip append enumerate append float len print len format set format print filter_func append len split RuleHierarchy sorted format print sort is_parent_child enumerate asctime append keys range get_rule_level len print sort add_valid_rule set append sort print_rule_info_set_statstics print format len format level2rule_strs print rule_str2rule_info rule_str2children sort recursive_print_rule len print format split len format print sort set print_rule_info enumerate len format print set upper len format print append truncate_prob float len format tocsr print shape coo_matrix append nnz enumerate len print to_csv format read_csv weighted_inference estimate_rule_parameter rstrip format majority_vote print transform_labeled_data get_filtered_rules raw_train_examples get_rule_match_stats RuleGenerativeModel build_label_matrix len weighted_inference estimate_rule_parameter transform_labeled_data RuleGenerativeModel build_label_matrix len join dev_iter format print sort dump_into_pkl_file resume_and_evaluate test_iter lstrip model_type append listdir join items rstrip format print resume_and_evaluate copy test_iter model_type startswith append listdir vocab list fromkeys print vocab_cls Counter freqs len vocab list fromkeys print vocab_cls Counter freqs dict len vocab items sorted isinstance print freqs build_vocab len print build_field_vocab_from_dict build_field_vocab_from_file build_field_vocab_from_dataset MyVec normal_ copyfile save load format print Warning load_state_dict exists append set_aspect show subplots matshow size colorbar xticks numpy range yticks set_aspect show subplots matshow size tight_layout colorbar title xticks numpy sca range enumerate yticks argmax max defaultdict concatenate tuple mean is_salient_phrase prod append sum array range enumerate len append sort id_to_word append enumerate format print tolist astype average_precision_score precision_recall_curve asctime get_prediction_probs_info resume_model_from precision_recall_fscore_support numpy auc join format init_train_set print resume_and_evaluate asctime train init_neural_network vlines plot xlabel ylabel xlim title ylim figure legend hlines xticks step yticks items xlabel grid ylabel xlim title ylim figure legend xticks step yticks join format strip popen float split format print randint asctime sleep get_gpu_mem_usage flush apply_gpu_memory format FloatTensor print asctime to seed manual_seed_all format print manual_seed | thunlp/DIAG-NRE | 3,872 |
thunlp/DSDocRE | ['relation extraction', 'denoising'] | ['Denoising Relation Extraction from Document-level Distant Supervision'] | tools/output_tool.py reader/reader.py formatter/Basic.py reader/__init__.py dataset/NaiveDataset.py dataset/PreTrainDataset.py formatter/PreDenoiseFormatter.py model/__init__.py formatter/FineTuneFormatter.py tools/init_tool.py tools/train_tool.py train.py formatter/__init__.py model/loss.py tools/accuracy_tool.py tools/test_tool.py test.py tools/dataset_tool.py formatter/PreTrainFormatter.py model/PreDenoiseBert.py model/optimizer.py tools/output_init.py model/FineTuneBert.py config_parser/__init__.py config_parser/parser.py tools/eval_tool.py tools/accuracy_init.py dataset/__init__.py model/DSDocREBert.py ConfigParser create_config _build_func NaiveDataset PreTrainDataset BasicFormatter FineTuneFormatter PreDenoiseFormatter PreTrainFormatter init_formatter DSDocREBert FineTuneBert MultiLabelSoftmaxLoss multi_label_cross_entropy_loss FocalLoss cross_entropy_loss init_optimizer PreDenoiseBert get_model init_test_dataset init_one_dataset init_dataset init_formatter init_accuracy_function rank_accu Multi_Label_DocRED gen_micro_macro_result softmax_accu get_prf binary_accu dfs_search valid output_value gen_time_str init_all init_output_function ConsGraphOutputFunc null_output_function basic_output_function RankOutputFunc BinaryOutputFunc BinaryOutputFunc2 test train checkpoint read RawConfigParser ConfigParser dir _build_func setattr get error clamp mean float sum log CrossEntropyLoss get AdamW Adam SGD getfloat parameters get error getboolean getint DataLoader init_one_dataset init_formatter init_one_dataset get append get_prf range len int append max range len int sum topk tolist set range len int sum join isdir sort isfile append listdir int get str print replace isinstance model Variable error timer keys getint eval output_function output_value Tensor train cuda enumerate len load init_optimizer init_dataset getboolean init_test_dataset init_multi_gpu warning load_state_dict info init_output_function cuda init_formatter get gen_micro_macro_result split asarray sort auc append float round enumerate round isinstance model Variable error timer keys getint eval output_value append Tensor numpy cuda enumerate len save getboolean state_dict model clip_grad_norm_ zero_grad timer getfloat warning cuda exists initialize StepLR getboolean master_params range get getint mean output_function save_pretrained info keys checkpoint enumerate join isinstance backward print Variable error makedirs parameters output_value Tensor step len | thunlp/DSDocRE | 3,873 |
thunlp/DocRED | ['relation extraction'] | ['DocRED: A Large-Scale Document-Level Relation Extraction Dataset'] | code/gen_data.py code/train_sp.py code/test.py code/models/LSTM.py code/evaluation.py code/models/CNN3.py code/models/LSTM_SP.py code/models/__init__.py code/train.py code/config/__init__.py code/test_sp.py code/config/Config.py code/config/EviConfig.py code/models/ContextAware.py code/models/BiLSTM.py gen_train_facts init Accuracy Config Accuracy EviConfig LockedDropout BiLSTM EncoderRNN BiAttention EncoderLSTM CNN3 BiAttention SelfAttention EncoderRNN LockedDropout EncoderLSTM ContextAware LockedDropout EncoderRNN BiAttention EncoderLSTM LSTM LockedDropout LSTM_SP EncoderRNN BiAttention EncoderLSTM load join dump list replace tuple set add exists open load int get dump join list print len set add lower save append zeros max range enumerate open | thunlp/DocRED | 3,874 |
thunlp/GEAR | ['fact verification'] | ['GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification'] | scripts/retrieval_data_scorer.py gear/utils.py gear/test.py feature_extractor/extractor.py scripts/build_gear_input_set.py gear/models.py gear/results_scorer.py scripts/retrieval_to_bert_input.py gear/train.py read_examples InputFeatures InputExample _truncate_seq_pair convert_examples_to_features main AttentionLayer GEAR SelfAttentionLayer test_collector dev_scorer get_predicted_label load_bert_features_claim load_bert_features_claim_test feature_pooling correct_prediction build_with_truth_and_threshold is_evidence_exist build_with_threshold check process build_bert_train_sr_set join text_b InputFeatures convert_tokens_to_ids _truncate_seq_pair tokenize info append unique_id text_a enumerate len pop len from_pretrained arange DataParallel DistributedDataParallel DataLoader ArgumentParser device tensor open read_examples OrderedDict device_count TensorDataset convert_examples_to_features output_file append parse_args to SequentialSampler input_file range format init_process_group size close eval info items bert_model print add_argument write extend dumps tqdm bool numpy local_rank len int get_predicted_label print readlines close len strip open loads append fever_score range split int encode get_predicted_label readlines close len write open append float range split append range LongTensor FloatTensor FloatTensor sum type_as double str list sorted encode print len close extend write set open append keys split items sorted encode print close write open append float split decode print close loads append fever_score open join int encode execute print strip close write tqdm loads open append split join encode replace print write close loads split execute open | thunlp/GEAR | 3,875 |
thunlp/MuGNN | ['entity alignment'] | ['Multi-Channel Graph Neural Network for Entity Alignment'] | models/layers.py example_train.py models/torch_functions.py graph_completion/cross_graph_completion.py graph_completion/nets.py utils/tools.py utils/Datasets.py graph_completion/adjacency_matrix.py config.py project_path.py graph_completion/rule_mining.py graph_completion/triple_graph.py utils/reader.py utils/functions.py format_data.py models/models.py Config mine_rule_for_dbp15k rule_mining_for_single_dataset watch_sp SpTwinAdj sp_clamp torch_trans2sp SpRelWeiADJ get_sparse_unit_matrix dict_union _rule_based_graph_completion _print_new_triple_confs _check _load_languge print_triple print_rule _print_new_rules get_relation2conf get_relation2imp _load_seeds construct_entity_pair_for_bootstrap rule_transfer CrossGraphCompletion GATNet AlignGraphNet rule_parser parse_and_dump_rules mine_rule_with_amie TripleGraph GraphMultiHeadAttLayer GraphAttentionLayer GraphConvolution SpGraphAttentionLayer RelAttGCN DoubleEmbedding GATmGCN GAT GCN TransE cosine_similarity_nbyn SpecialLossAlign torch_l2distance SpecialLossTransE normalize_adj_torch SpecialLossRule SpecialLoss RuleDataset BatchRuleDataset BatchTripleDataset AliagnmentDataset TripleDataset EpochDataset topk get_hits str2int4triples set_random_seed multi_process_get_nearest_neighbor get_nearest_neighbor read_rules read_mapping read_triples read_file read_seeds print_time_info timeit list glob name read_mapping parse_and_dump_rules mine_rule_with_amie input glob name read_mapping parse_and_dump_rules mine_rule_with_amie Path input from_numpy asarray ones list cuda zip tensor numpy max is_cuda values enumerate values clamp indices coalesce int coalesce print coo_matrix float values enumerate list min shuffle set zip len items print_time_info read_mapping read_triples read_rules read_seeds shuffle print_time_info join print_time_info join print_time_info print_rule items items list print keys choices print_time_info print_triple append float add print_time_info __rule_based_graph_completion dict _rule_transfer call print_time_info print premises_reformat atom_parser append print_time_info compile split rule_parser clamp t pow to_dense sum clamp norm t matmul view seed is_available manual_seed_all manual_seed topk ndarray isinstance print from_numpy t print_time_info range len to ndarray isinstance from_numpy argsort to numpy enumerate Process join dict Manager start append enumerate len parse_func print_time_info str time print strftime localtime len | thunlp/MuGNN | 3,876 |
thunlp/NeuBA | ['backdoor attack'] | ['Red Alarm for Pre-trained Models: Universal Vulnerability to Neuron-Level Backdoor Attacks'] | cv/src/data_loader.py nlp/src/eval.py nlp/src/post_poison_model.py nlp/src/mlm_rob.py nlp/src/mlm.py nlp/src/poison.py cv/src/finetune.py cv/src/model.py nlp/src/glue.py nlp/src/poison_bert.py cv/src/utils.py cv/src/main.py PoisonedCIFAR10 PoisonedMNISTLoader PoisonedCatDogLoader PoisonedImageNet PoisonedCIFAR10Loader PoisonedMNIST PoisonedWaste PoisonedGTSRB CatDogLoader CatDog PoisonedWasteLoader PoisonedGTSRBLoader PoisonedCatDog CIFAR10Loader Waste MNISTLoader CIFAR10 WasteLoader MNIST GTSRBLoader GTSRB ImageNet PoisonedImageNetLoader ImageNetLoader main train evaluate checkpoint finetune evaluate embed_stat main train checkpoint DenseNet ResNet VGG VGG_bn ViT ResNetRelu poison set_seed tensor_to_PIL get_force_features init_normal set_seed evaluate ModelArguments main DataProcessingArguments load_and_cache_examples set_seed evaluate ModelArguments main DataProcessingArguments train load_and_cache_examples TextDataset set_seed evaluate LineByLineTextDataset train _sorted_checkpoints mask_tokens main _rotate_checkpoints load_and_cache_examples TextDataset set_seed evaluate LineByLineTextDataset train _sorted_checkpoints mask_tokens main _rotate_checkpoints load_and_cache_examples get_poisoned_data_old get_poisoned_data_rob get_poisoned_data PoisonedRobertaForSequenceClassification PoisonedBertForMaskedLM PoisonedBertForSequenceClassification PoisonedRobertaForMaskedLM TextDataset set_seed evaluate LineByLineTextDataset train _sorted_checkpoints mask_tokens main _rotate_checkpoints load_and_cache_examples ImageNet PoisonedImageNet CIFAR10 PoisonedCIFAR10 MNIST PoisonedMNIST GTSRB PoisonedGTSRB Waste PoisonedWaste CatDog PoisonedCatDog join poison format print mkdir save ckpt model zero_grad cuda max_epoch MSELoss append range CrossEntropyLoss format poison mean item enumerate criterion backward print tqdm step len poison_num format print classification_report MSELoss mean eval range CrossEntropyLoss load join task poison format get_poison_config Loader PoisonedILoader print ResNet evaluate Compose Adam parameters lr load_state_dict train cuda str print eval ckpt criterion_p size eval checkpoint ckpt model zero_grad cuda max_epoch append range CrossEntropyLoss format mean item checkpoint enumerate criterion backward print evaluate tqdm train step len get_force_features ckpt SGD ResNetRelu str finetune data_dir VGG apply append range DenseNet Normalize norm reinit PoisonedLoader ViT VGG_bn embed_stat seed str manual_seed_all manual_seed size copy paste ones range append unloader squeeze clone ToPILImage xavier_uniform_ weight tuple DataLoader DataParallel numpy argmax cuda max eval_batch_size convert_tokens_to_ids per_gpu_eval_batch_size squeeze shape compute_metrics append SequentialSampler update info zip join n_gpu makedirs clone tqdm load_and_cache_examples len load get_train_examples data_dir get_labels barrier get_dev_examples TensorDataset convert_examples_to_features info get_test_examples tensor from_pretrained convert_ids_to_tokens warning device basicConfig set_seed set_device get_labels to Namespace init_process_group insert glob lower info fp16 parse_args_into_dataclasses task_name n_gpu model_name_or_path barrier bool HfArgumentParser local_rank len gradient_accumulation_steps get_linear_schedule_with_warmup tuple clip_grad_norm_ DataLoader DataParallel DistributedDataParallel max_grad_norm output_dir save max initialize set_seed logging_steps master_params state_dict SummaryWriter close save_pretrained num_train_epochs info fp16 trange per_gpu_train_batch_size max_steps int items n_gpu join evaluate AdamW add_scalar makedirs dumps parameters train_batch_size pop join str format max_seq_length save do_train output_dir save update save_pretrained load_and_cache_examples makedirs dict line_by_line join sorted format glob match output_dir append format save_total_limit rmtree _sorted_checkpoints info max len pad_token_id bool mask_token convert_tokens_to_ids clone randint shape masked_fill_ eq tensor mlm_probability full len device get_poisoned_data_old load_state_dict mask_tokens to _rotate_checkpoints load model_name_or_path poison_pos output_dir device tensor exp to enable_attach config_name should_continue block_size ArgumentParser eval_all_checkpoints setLevel list chr _sorted_checkpoints parse_args WARN tokenizer_name from_config wait_for_attach ord add_argument min tqdm max_len get_poisoned_data_rob list convert_tokens_to_ids clone choice shape append range len list convert_tokens_to_ids clone choice shape append range len list clone choice shape append range len get_poisoned_data convert_tokens_to_ids zip clone | thunlp/NeuBA | 3,877 |
thunlp/OpenAttack | ['adversarial attack'] | ['OpenAttack: An Open-source Textual Adversarial Attack Toolkit'] | OpenAttack/attack_assist/substitute/word/chinese_wordnet.py OpenAttack/tags/base.py OpenAttack/data/victim_xlnet_imdb.py OpenAttack/utils/__init__.py OpenAttack/metric/algorithms/modification.py OpenAttack/attackers/pso/__init__.py examples/custom_metrics.py OpenAttack/attackers/gan/__init__.py OpenAttack/text_process/tokenizer/base.py OpenAttack/attack_assist/substitute/char/english_eces.py OpenAttack/attack_assist/goal/classifier_goal.py OpenAttack/data/sgan.py OpenAttack/metric/algorithms/language_tool.py OpenAttack/attackers/base.py OpenAttack/utils/auto_lang.py examples/custom_attacker.py OpenAttack/attack_eval/attack_eval.py OpenAttack/attack_assist/substitute/word/english_word2vec.py OpenAttack/attackers/bert_attack/__init__.py OpenAttack/data/nltk_senttokenizer.py slow_tests/test_multi_process.py OpenAttack/attackers/hotflip/__init__.py OpenAttack/metric/selectors/modify.py OpenAttack/data/fyh_dict.py OpenAttack/victim/base.py slow_tests/attackers_chinese.py OpenAttack/utils/transform_label.py OpenAttack/metric/__init__.py OpenAttack/data/gan.py slow_tests/test_chinese_multi_process.py OpenAttack/data/test.py OpenAttack/data/__init__.py demo.py OpenAttack/data/victim_roberta_imdb.py OpenAttack/attackers/__init__.py OpenAttack/data/victim_roberta_sst.py OpenAttack/metric/algorithms/bleu.py OpenAttack/data/counter_fit.py OpenAttack/data/stanford_parser.py OpenAttack/data/victim_xlnet_ag.py OpenAttack/text_process/constituency_parser/__init__.py setup.py OpenAttack/version.py OpenAttack/data/sentence_transformer.py OpenAttack/attackers/genetic/__init__.py OpenAttack/attack_assist/substitute/char/english_dces.py OpenAttack/victim/classifiers/methods.py OpenAttack/attack_assist/filter_words/__init__.py OpenAttack/__init__.py OpenAttack/metric/algorithms/gptlm.py OpenAttack/metric/algorithms/usencoder.py examples/workflow.py OpenAttack/attack_assist/filter_words/chinese.py OpenAttack/attack_eval/__init__.py OpenAttack/data/nltk_wordnet.py OpenAttack/attack_assist/goal/base.py OpenAttack/metric/selectors/semantic.py OpenAttack/metric/algorithms/levenshtein.py OpenAttack/data_manager.py OpenAttack/attackers/viper/__init__.py OpenAttack/exceptions/victim.py OpenAttack/data/sim_dict.py OpenAttack/attack_assist/goal/__init__.py OpenAttack/metric/selectors/fluency.py OpenAttack/tags/tags.py OpenAttack/metric/algorithms/jaccard_char.py OpenAttack/exceptions/data_manager.py OpenAttack/text_process/tokenizer/jieba_tokenizer.py OpenAttack/metric/algorithms/jaccard_word.py docs/source/conf.py OpenAttack/metric/algorithms/base.py slow_tests/test_default.py test/run_test.py test/test_meta_classifier.py OpenAttack/metric/selectors/grammar.py OpenAttack/attack_assist/substitute/word/english_glove.py OpenAttack/attack_assist/substitute/__init__.py OpenAttack/data/victim_albert_sst.py OpenAttack/attackers/textbugger/__init__.py OpenAttack/data/victim_albert_ag.py examples/custom_dataset.py OpenAttack/attackers/classification.py OpenAttack/data/hownet_substitute_dict.py OpenAttack/victim/method.py OpenAttack/attack_assist/substitute/char/chinese_fyh_char.py OpenAttack/attack_assist/substitute/word/english_hownet.py OpenAttack/metric/algorithms/__init__.py examples/nli_attack.py examples/custom_victim.py OpenAttack/attack_assist/__init__.py OpenAttack/attackers/scpn/__init__.py OpenAttack/text_process/lemmatizer/__init__.py OpenAttack/data/chinese_word2vec.py OpenAttack/victim/classifiers/__init__.py OpenAttack/attackers/scpn/models.py examples/multiprocess_eval.py OpenAttack/utils/transformers_hook.py OpenAttack/metric/algorithms/sentence_sim.py OpenAttack/attack_eval/utils.py OpenAttack/attackers/scpn/subword.py examples/adversarial_training.py OpenAttack/attackers/bae/__init__.py OpenAttack/text_process/lemmatizer/wordnet_lemmatizer.py OpenAttack/attackers/textfooler/__init__.py OpenAttack/text_process/tokenizer/__init__.py OpenAttack/data/hownet.py examples/chinese.py OpenAttack/attackers/fd/__init__.py OpenAttack/data/glove.py slow_tests/attackers.py OpenAttack/attack_assist/filter_words/english.py OpenAttack/attack_assist/substitute/word/english_counterfit.py test/test_default_text_processor.py OpenAttack/data/victim_albert_imdb.py OpenAttack/data/nltk_wordnet_delemma.py OpenAttack/victim/classifiers/base.py OpenAttack/text_process/tokenizer/transformers_tokenizer.py OpenAttack/tags/__init__.py OpenAttack/data/victim_roberta_ag.py OpenAttack/text_process/tokenizer/punct_tokenizer.py OpenAttack/exception.py OpenAttack/data/nltk_perceptron_pos_tagger.py OpenAttack/victim/__init__.py OpenAttack/attack_assist/substitute/char/chinese_sim_char.py OpenAttack/data/scpn.py OpenAttack/metric/selectors/__init__.py OpenAttack/victim/context.py OpenAttack/attack_assist/substitute/word/base.py OpenAttack/attack_assist/substitute/word/chinese_cilin.py OpenAttack/attack_assist/substitute/word/english_wordnet.py OpenAttack/attack_assist/substitute/word/__init__.py demo_deo.py OpenAttack/data/victim_bert.py OpenAttack/text_process/constituency_parser/stanford_parser.py OpenAttack/attack_assist/substitute/char/__init__.py build-doc.py OpenAttack/data/victim_bert_amazon_zh.py OpenAttack/data/cilin_dict.py OpenAttack/data/word2vec.py OpenAttack/victim/classifiers/transformers.py OpenAttack/utils/visualizer.py OpenAttack/data/translation_models.py OpenAttack/attackers/uat/__init__.py OpenAttack/attackers/pwws/__init__.py OpenAttack/data/dces.py OpenAttack/attack_assist/substitute/word/chinese_hownet.py OpenAttack/metric/selectors/edit_distance.py OpenAttack/attack_assist/substitute/char/base.py OpenAttack/data/stanford_ner.py examples/transformer.py OpenAttack/text_process/lemmatizer/base.py OpenAttack/metric/selectors/base.py OpenAttack/data/victim_xlnet_sst.py OpenAttack/exceptions/data.py demo_chinese.py OpenAttack/attack_assist/substitute/word/embed_based.py OpenAttack/exceptions/__init__.py OpenAttack/attack_assist/substitute/word/chinese_word2vec.py OpenAttack/text_process/constituency_parser/base.py slow_tests/test_chinese_default.py OpenAttack/data/universal_sentence_encoder.py OpenAttack/attackers/deepwordbug/__init__.py OpenAttack/attack_assist/word_embedding/__init__.py OpenAttack/exceptions/substitute.py OpenAttack/attackers/geometry/__init__.py OpenAttack/utils/zip_downloader.py make_attacker make_text_processor getSubClasses make_attack_eval make_metric make_utils make_victim make_data_manager make_data main getDocMembers make_substitute main make_model dataset_mapping main dataset_mapping main make_model dataset_mapping train_model make_model make_batch eval_classifier_acc prepare_data train_epoch MyClassifier attack main make_batch_tokens dataset_mapping main dataset_mapping main MyAttacker dataset_mapping main SentenceLength main dataset_mapping main MyClassifier dataset_mapping main dataset_mapping main NLIWrapper dataset_mapping main dataset_mapping main dataset_mapping DataManager AttackException Attacker ClassificationAttacker BAEAttacker Feature BERTAttacker Feature DeepWordBugAttacker FDAttacker get_min GANAttacker GeneticAttacker Sample DeepFool GEOAttacker GreedyAttack WordSaliencyBatch HotFlipAttacker PSOAttacker PWWSAttacker ParseNet SCPN get_pairs isolate_glossary recursive_split read_vocabulary check_vocab_and_split encode BPE SCPNAttacker reverse_bpe TextBuggerAttacker TextFoolerAttacker UATAttacker VIPERAttacker get_default_filter_words AttackGoal ClassifierGoal CharSubstitute ChineseFYHCharSubstitute ChineseSimCharSubstitute DCESSubstitute get_hex_string ECESSubstitute WordSubstitute ChineseCiLinSubstitute ChineseHowNetSubstitute ChineseWord2VecSubstitute ChineseWordNetSubstitute EmbedBasedSubstitute CounterFittedSubstitute GloveSubstitute HowNetSubstitute Word2VecSubstitute prefilter WordNetSubstitute get_default_substitute WordEmbedding AttackEval worker_process attack_process worker_init Seq2SeqCAE LOAD Seq2Seq MLP_G MLP_I_AE MLP_D to_gpu MLP_I LOAD LOAD LOAD LOAD LOAD Seq2SeqCAE LOAD Seq2Seq MLP_G MLP_I_AE MLP_D to_gpu MLP_I LOAD DOWNLOAD LOAD LOAD LOAD LOAD LOAD LOAD LOAD LOAD LOAD LOAD LOAD LOAD LOAD LOAD LOAD LOAD LOAD LOAD LOAD LOAD LOAD LOAD LOAD load_data DataConfigErrorException DataNotExistException UnknownDataException UnknownPOSException WordNotInDictionaryException InvokeLimitExceeded AttackMetric BLEU GPT2LMChinese GPT2LM JaccardChar JaccardWord LanguageTool LanguageToolChinese Levenshtein Modification SentenceSim UniversalSentenceEncoder MetricSelector EditDistance Fluency GrammaticalErrors ModificationRate SemanticSimilarity Tag ConstituencyParser StanfordParser get_default_constituency_parser Lemmatizer WordnetLemmatimer get_default_lemmatizer Tokenizer JiebaTokenizer PunctTokenizer TransformersTokenizer get_default_tokenizer get_language language_by_name check_language HookCloser update_label sent_len word_align right_bar_print left_bar_failed char_width visualizer result_visualizer levenshtein_visual left_bar_print make_zip_downloader Victim invoke_decorator AttackContextShadow AttackContext VictimMethod Classifier GetGradient GetEmbedding GetPredict GetProbability TransformersClassifier get_attackers get_attackers_on_chinese main dataset_mapping main dataset_mapping main dataset_mapping main dataset_mapping main TestDataManager MetaClassifier TestMetaClassifier append issubclass dir append dir startswith write attackers ClassificationAttacker getSubClasses write write Classifier classifiers getSubClasses write join write iter_modules NAME load_module append __path__ keys __name__ split MetricSelector issubclass hasattr isinstance metric dir write AttackMetric append char getSubClasses word write index CharSubstitute WordSubstitute ConstituencyParser constituency_parser getSubClasses write tokenizer lemmatizer Lemmatizer Tokenizer __dir__ write startswith join make_attacker make_text_processor make_attack_eval make_metric make_utils make_data_manager make_victim make_data make_substitute print map eval AttackEval PWWSAttacker loadVictim from_pretrained GEOAttacker TransformersClassifier remove_columns len max make_batch_tokens NLLLoss make_batch criterion model backward zero_grad Adam shuffle range parameters train step log len eval_classifier_acc print train_epoch MyClassifier load_state_dict range state_dict ieval print tqdm AttackEval append tokenize len train_model from_dict make_model prepare_data MyClassifier attack append features len to MyAttacker word_embeddings GeneticAttacker NLIWrapper deepcopy add set get_pairs endswith tuple min extend index check_vocab_and_split append append recursive_split int split add set split endswith append invoke attack_time attacker set_context load join Seq2SeqCAE MLP_G MLP_I_AE MLP_D load_state_dict open len NearestNeighbors write download __import__ PerceptronTagger WordNetCorpusReader from_pretrained DOWNLOAD LOAD hasattr isinstance url_downloader iter_modules NAME load_module append callable append items __name__ TAGS append __name__ rename_column items remove_columns append items isinstance word_align min append zeros range len sent_len isinstance levenshtein_visual append tokenize append sent_len tokenize isinstance sent_len columns right_bar_print left_bar_failed insert stream_writer zip append left_bar_print len items list columns isinstance stream_writer map zip append max len isinstance print tokenizer get_triggers tokenizer get_triggers get_attackers_on_chinese perf_counter set_start_method __name__ get_attackers total_time TimeCalcClsf discover exit TextTestRunner dirname abspath failures errors run | thunlp/OpenAttack | 3,878 |
thunlp/RE-Context-or-Names | ['relation extraction'] | ['Learning from Context or Names? An Empirical Study on Neural Relation Extraction'] | utils/transformers/examples/movement-pruning/masked_run_squad.py utils/transformers/src/transformers/tokenization_transfo_xl.py utils/transformers/examples/movement-pruning/emmental/modules/__init__.py utils/transformers/tests/test_modeling_tf_xlnet.py utils/transformers/examples/contrib/mm-imdb/utils_mmimdb.py utils/transformers/hubconf.py utils/transformers/examples/benchmarking/plot_csv_file.py utils/transformers/src/transformers/modeling_tf_bert.py utils/transformers/src/transformers/configuration_bart.py utils/transformers/examples/seq2seq/bertabs/convert_bertabs_original_pytorch_checkpoint.py utils/transformers/src/transformers/configuration_xlm_roberta.py utils/transformers/tests/test_modeling_reformer.py utils/transformers/tests/test_modeling_tf_transfo_xl.py utils/transformers/examples/contrib/run_transfo_xl.py utils/transformers/docs/source/conf.py utils/transformers/examples/seq2seq/run_eval.py utils/transformers/src/transformers/modeling_distilbert.py utils/transformers/src/transformers/training_args.py utils/transformers/src/transformers/configuration_auto.py utils/transformers/templates/adding_a_new_example_script/utils_xxx.py utils/transformers/tests/test_modeling_tf_roberta.py utils/transformers/tests/test_tokenization_albert.py utils/transformers/tests/test_modeling_tf_xlm.py utils/transformers/tests/test_tokenization_marian.py utils/transformers/src/transformers/tokenization_electra.py utils/transformers/tests/test_modeling_tf_xlm_roberta.py utils/transformers/src/transformers/data/metrics/squad_metrics.py utils/transformers/src/transformers/optimization_tf.py utils/transformers/examples/test_examples.py finetune/fewshotRE/FewRel/models/proto_norm.py utils/transformers/tests/test_modeling_tf_ctrl.py utils/transformers/tests/test_trainer.py utils/transformers/setup.py utils/transformers/src/transformers/modeling_ctrl.py utils/transformers/src/transformers/configuration_mobilebert.py utils/transformers/src/transformers/modeling_xlm_roberta.py utils/transformers/examples/distillation/distiller.py utils/transformers/src/transformers/tokenization_marian.py utils/transformers/examples/seq2seq/callbacks.py finetune/fewshotRE/FewRel/train_demo.py utils/transformers/tests/test_tokenization_t5.py finetune/fewshotRE/FewRel/fewshot_re_kit/network/embedding.py utils/transformers/src/transformers/convert_electra_original_tf_checkpoint_to_pytorch.py utils/transformers/examples/bert-loses-patience/test_run_glue_with_pabee.py utils/transformers/tests/test_tokenization_xlm.py utils/transformers/src/transformers/configuration_transfo_xl.py utils/transformers/src/transformers/configuration_retribert.py utils/transformers/examples/distillation/run_squad_w_distillation.py utils/transformers/src/transformers/configuration_ctrl.py utils/transformers/tests/test_modeling_ctrl.py finetune/fewshotRE/FewRel/fewshot_re_kit/network/__init__.py utils/transformers/tests/test_modeling_camembert.py utils/transformers/examples/bert-loses-patience/run_glue_with_pabee.py utils/transformers/src/transformers/configuration_utils.py utils/transformers/tests/test_modeling_tf_mobilebert.py utils/transformers/src/transformers/benchmark/benchmark_utils.py utils/transformers/tests/test_modeling_xlm.py utils/transformers/src/transformers/tokenization_distilbert.py utils/transformers/examples/contrib/run_swag.py utils/transformers/src/transformers/tokenization_albert.py utils/transformers/src/transformers/activations.py utils/transformers/tests/test_modeling_marian.py utils/transformers/tests/test_modeling_mobilebert.py utils/transformers/examples/distillation/scripts/extract_distilbert.py utils/transformers/src/transformers/convert_xlm_original_pytorch_checkpoint_to_pytorch.py utils/transformers/examples/bert-loses-patience/pabee/modeling_pabee_albert.py utils/transformers/tests/test_benchmark_tf.py utils/transformers/examples/seq2seq/finetune.py finetune/supervisedRE/code/dataset.py utils/transformers/examples/distillation/utils.py utils/transformers/tests/test_modeling_longformer.py finetune/fewshotRE/FewRel/fewshot_re_kit/old_data_loader.py utils/transformers/tests/test_modeling_tf_t5.py utils/transformers/examples/text-classification/run_glue.py utils/transformers/src/transformers/benchmark/benchmark_tf.py utils/transformers/src/transformers/__init__.py utils/transformers/src/transformers/configuration_longformer.py utils/transformers/examples/movement-pruning/masked_run_glue.py utils/transformers/src/transformers/modeling_roberta.py utils/transformers/src/transformers/testing_utils.py utils/transformers/tests/test_optimization_tf.py utils/transformers/src/transformers/tokenization_bart.py utils/transformers/src/transformers/tokenization_gpt2.py utils/transformers/tests/test_tokenization_roberta.py utils/transformers/src/transformers/configuration_encoder_decoder.py utils/transformers/tests/test_modeling_xlm_roberta.py utils/transformers/src/transformers/configuration_xlm.py finetune/fewshotRE/FewRel/fewshot_re_kit/framework.py utils/transformers/src/transformers/commands/transformers_cli.py pretrain/code/prepare_data.py utils/transformers/tests/test_modeling_encoder_decoder.py finetune/supervisedRE/code/main.py finetune/fewshotRE/FewRel/fewshot_re_kit/data_loader.py utils/transformers/tests/test_tokenization_gpt2.py utils/transformers/src/transformers/configuration_gpt2.py utils/transformers/examples/movement-pruning/emmental/modules/binarizer.py utils/transformers/tests/test_optimization.py pretrain/code/model.py utils/transformers/src/transformers/data/metrics/__init__.py utils/transformers/src/transformers/convert_openai_original_tf_checkpoint_to_pytorch.py utils/transformers/src/transformers/modeling_marian.py utils/transformers/src/transformers/tokenization_roberta.py utils/transformers/src/transformers/tokenization_utils_fast.py utils/transformers/examples/benchmarking/run_benchmark.py utils/transformers/examples/text-generation/run_generation.py utils/transformers/templates/adding_a_new_model/convert_xxx_original_tf_checkpoint_to_pytorch.py utils/transformers/src/transformers/benchmark/benchmark_args_utils.py finetune/fewshotRE/FewRel/fewshot_re_kit/network/encoder.py utils/transformers/src/transformers/modeling_bart.py utils/transformers/src/transformers/configuration_xlnet.py utils/transformers/src/transformers/data/processors/__init__.py utils/transformers/examples/text-classification/run_pl_glue.py utils/transformers/src/transformers/file_utils.py utils/transformers/src/transformers/modeling_tf_gpt2.py finetune/fewshotRE/FewRel/models/gnn.py utils/transformers/src/transformers/modeling_tf_pytorch_utils.py utils/transformers/src/transformers/modeling_tf_utils.py utils/transformers/src/transformers/convert_roberta_original_pytorch_checkpoint_to_pytorch.py utils/transformers/src/transformers/training_args_tf.py utils/transformers/examples/longform-qa/eli5_utils.py utils/transformers/src/transformers/tokenization_xlm.py utils/transformers/tests/test_hf_argparser.py utils/transformers/tests/test_tokenization_auto.py utils/transformers/examples/token-classification/run_ner.py utils/transformers/examples/contrib/mm-imdb/run_mmimdb.py utils/transformers/src/transformers/data/data_collator.py utils/transformers/src/transformers/configuration_mmbt.py utils/transformers/tests/test_doc_samples.py utils/transformers/src/transformers/convert_t5_original_tf_checkpoint_to_pytorch.py utils/transformers/tests/test_modeling_bert.py utils/transformers/src/transformers/generation_utils.py utils/transformers/src/transformers/modeling_tf_distilbert.py utils/transformers/templates/adding_a_new_example_script/run_xxx.py utils/transformers/src/transformers/configuration_distilbert.py utils/transformers/src/transformers/modeling_gpt2.py utils/transformers/src/transformers/convert_gpt2_original_tf_checkpoint_to_pytorch.py utils/transformers/examples/movement-pruning/emmental/configuration_bert_masked.py pretrain/code/main.py utils/transformers/templates/adding_a_new_model/tests/test_modeling_tf_xxx.py finetune/fewshotRE/FewRel/fewshot_re_kit/__init__.py utils/transformers/src/transformers/modeling_tf_albert.py utils/transformers/examples/bertology/run_bertology.py utils/transformers/src/transformers/modeling_retribert.py finetune/supervisedRE/code/model.py utils/transformers/examples/seq2seq/bertabs/run_summarization.py utils/transformers/templates/adding_a_new_model/tests/test_modeling_xxx.py utils/transformers/src/transformers/modeling_tf_flaubert.py utils/transformers/examples/contrib/run_openai_gpt.py utils/transformers/examples/distillation/lm_seqs_dataset.py utils/transformers/src/transformers/modeling_albert.py utils/transformers/src/transformers/trainer_utils.py utils/transformers/tests/test_pipelines.py utils/transformers/src/transformers/tokenization_xlnet.py utils/transformers/src/transformers/convert_bert_pytorch_checkpoint_to_original_tf.py utils/transformers/tests/test_modeling_distilbert.py utils/transformers/src/transformers/modeling_tf_electra.py utils/transformers/src/transformers/tokenization_flaubert.py utils/transformers/examples/distillation/scripts/extract.py utils/transformers/src/transformers/tokenization_bert.py utils/transformers/src/transformers/modeling_longformer.py utils/transformers/src/transformers/modeling_tf_mobilebert.py utils/transformers/src/transformers/modeling_tf_camembert.py utils/transformers/src/transformers/data/datasets/language_modeling.py utils/transformers/tests/test_modeling_tf_openai_gpt.py utils/transformers/src/transformers/modelcard.py utils/transformers/tests/test_modeling_roberta.py utils/transformers/src/transformers/modeling_mobilebert.py utils/transformers/src/transformers/modeling_transfo_xl.py utils/transformers/src/transformers/modeling_t5.py utils/transformers/examples/longform-qa/eli5_app.py utils/transformers/src/transformers/commands/user.py utils/transformers/examples/language-modeling/run_language_modeling.py utils/transformers/src/transformers/data/processors/xnli.py utils/transformers/tests/test_modeling_xlnet.py utils/transformers/tests/test_modeling_tf_camembert.py utils/transformers/examples/movement-pruning/emmental/modeling_bert_masked.py utils/transformers/src/transformers/optimization.py utils/transformers/src/transformers/configuration_openai.py utils/transformers/tests/test_tokenization_fast.py utils/transformers/tests/test_configuration_common.py utils/utils.py utils/transformers/src/transformers/commands/convert.py utils/transformers/tests/test_modeling_flaubert.py utils/transformers/examples/distillation/scripts/binarized_data.py utils/transformers/src/transformers/convert_marian_to_pytorch.py utils/transformers/examples/seq2seq/bertabs/test_utils_summarization.py utils/transformers/src/transformers/trainer.py utils/transformers/src/transformers/convert_albert_original_tf_checkpoint_to_pytorch.py utils/transformers/src/transformers/convert_pytorch_checkpoint_to_tf2.py utils/transformers/src/transformers/modeling_tf_xlm.py finetune/fewshotRE/FewRel/models/d.py utils/transformers/tests/test_modeling_tf_common.py utils/transformers/src/transformers/configuration_flaubert.py utils/transformers/src/transformers/convert_bert_original_tf_checkpoint_to_pytorch.py utils/transformers/src/transformers/modeling_tf_transfo_xl_utilities.py utils/transformers/src/transformers/data/processors/utils.py utils/transformers/tests/test_tokenization_bert_japanese.py utils/transformers/tests/test_tokenization_xlm_roberta.py utils/transformers/src/transformers/commands/download.py utils/transformers/templates/adding_a_new_model/tests/test_tokenization_xxx.py utils/transformers/tests/test_tokenization_bert.py utils/transformers/src/transformers/modeling_tf_xlnet.py utils/transformers/examples/question-answering/run_squad.py utils/transformers/examples/seq2seq/initialization_utils.py utils/transformers/tests/test_modeling_tf_electra.py utils/transformers/examples/seq2seq/utils.py utils/transformers/src/transformers/convert_transfo_xl_original_tf_checkpoint_to_pytorch.py utils/transformers/src/transformers/modeling_tf_roberta.py utils/transformers/tests/test_modeling_common.py finetune/fewshotRE/FewRel/models/gnn_iclr.py utils/transformers/examples/distillation/grouped_batch_sampler.py utils/transformers/src/transformers/modeling_tf_auto.py utils/transformers/tests/test_tokenization_utils.py pretrain/code/dataset.py utils/transformers/src/transformers/modeling_camembert.py utils/transformers/examples/adversarial/run_hans.py utils/transformers/src/transformers/configuration_t5.py utils/transformers/examples/contrib/run_camembert.py utils/transformers/examples/distillation/scripts/token_counts.py utils/transformers/src/transformers/trainer_tf.py utils/transformers/src/transformers/hf_argparser.py utils/transformers/src/transformers/tokenization_retribert.py utils/transformers/src/transformers/benchmark/benchmark_args.py utils/transformers/src/transformers/modeling_auto.py utils/transformers/src/transformers/modeling_tf_t5.py utils/transformers/examples/multiple-choice/run_multiple_choice.py utils/transformers/src/transformers/convert_bart_original_pytorch_checkpoint_to_pytorch.py utils/transformers/templates/adding_a_new_model/configuration_xxx.py utils/transformers/src/transformers/modeling_xlnet.py utils/transformers/tests/test_tokenization_transfo_xl.py utils/transformers/src/transformers/tokenization_reformer.py utils/transformers/utils/download_glue_data.py utils/transformers/examples/seq2seq/test_seq2seq_examples.py utils/transformers/src/transformers/pipelines.py utils/transformers/tests/test_modeling_t5.py utils/transformers/src/transformers/modeling_flaubert.py utils/transformers/src/transformers/tokenization_utils_base.py utils/transformers/tests/test_modeling_transfo_xl.py utils/transformers/tests/test_tokenization_distilbert.py utils/transformers/tests/test_modeling_tf_auto.py utils/transformers/src/transformers/data/processors/squad.py finetune/fewshotRE/FewRel/models/metanet.py utils/transformers/tests/test_modeling_auto.py utils/transformers/examples/distillation/train.py utils/transformers/src/transformers/modeling_mmbt.py utils/transformers/src/transformers/benchmark/benchmark.py utils/transformers/examples/text-generation/pplm/pplm_classification_head.py utils/transformers/src/transformers/modeling_tf_transfo_xl.py utils/transformers/tests/test_onnx.py utils/transformers/tests/test_trainer_distributed.py finetune/fewshotRE/FewRel/fewshot_re_kit/sentence_encoder.py finetune/fewshotRE/FewRel/models/siamese.py utils/transformers/tests/test_hf_api.py utils/transformers/tests/test_modeling_tf_bert.py utils/transformers/tests/test_modeling_tf_albert.py utils/transformers/examples/multiple-choice/run_tf_multiple_choice.py utils/transformers/templates/adding_a_new_model/modeling_tf_xxx.py utils/transformers/examples/question-answering/run_tf_squad.py utils/transformers/src/transformers/configuration_bert.py utils/transformers/src/transformers/modeling_encoder_decoder.py utils/transformers/tests/test_modeling_bart.py utils/transformers/src/transformers/commands/run.py utils/transformers/src/transformers/configuration_marian.py utils/transformers/tests/test_configuration_auto.py utils/transformers/src/transformers/modeling_tf_openai.py utils/transformers/src/transformers/commands/env.py utils/transformers/tests/test_tokenization_openai.py utils/transformers/src/transformers/tokenization_utils.py utils/transformers/src/transformers/configuration_camembert.py utils/transformers/src/transformers/convert_graph_to_onnx.py utils/transformers/examples/movement-pruning/emmental/modules/masked_nn.py utils/transformers/src/transformers/tokenization_xlm_roberta.py utils/transformers/examples/seq2seq/bertabs/modeling_bertabs.py utils/transformers/src/transformers/generation_tf_utils.py utils/transformers/src/transformers/configuration_electra.py utils/transformers/src/transformers/convert_dialogpt_original_pytorch_checkpoint_to_pytorch.py utils/transformers/src/transformers/benchmark/benchmark_args_tf.py utils/transformers/tests/test_modeling_albert.py utils/transformers/src/transformers/modeling_xlm.py finetune/fewshotRE/FewRel/models/__init__.py utils/transformers/src/transformers/modeling_reformer.py utils/transformers/examples/token-classification/test_ner_examples.py utils/transformers/src/transformers/tokenization_bert_japanese.py utils/transformers/examples/movement-pruning/counts_parameters.py utils/transformers/src/transformers/data/__init__.py utils/transformers/src/transformers/modeling_bert.py utils/transformers/src/transformers/data/processors/glue.py utils/transformers/tests/test_modeling_tf_flaubert.py utils/transformers/examples/token-classification/run_tf_ner.py finetune/fewshotRE/FewRel/fewshot_re_kit/ssss.py utils/transformers/tests/test_modeling_gpt2.py utils/transformers/src/transformers/modeling_openai.py utils/transformers/src/transformers/convert_longformer_original_pytorch_lightning_to_pytorch.py utils/transformers/src/transformers/tokenization_mobilebert.py utils/transformers/tests/test_modeling_electra.py utils/transformers/src/transformers/commands/serving.py utils/transformers/src/transformers/data/datasets/__init__.py utils/transformers/examples/seq2seq/bertabs/utils_summarization.py utils/transformers/src/transformers/modeling_tf_xlm_roberta.py utils/transformers/tests/test_modeling_tf_gpt2.py finetune/fewshotRE/FewRel/models/proto.py utils/transformers/examples/token-classification/scripts/preprocess.py utils/transformers/tests/test_modeling_openai.py utils/transformers/examples/lightning_base.py utils/transformers/examples/text-classification/run_xnli.py utils/transformers/examples/multiple-choice/utils_multiple_choice.py utils/transformers/src/transformers/tokenization_t5.py utils/transformers/src/transformers/tokenization_auto.py finetune/fewshotRE/FewRel/models/snail.py utils/transformers/src/transformers/tokenization_camembert.py utils/transformers/examples/token-classification/utils_ner.py utils/transformers/src/transformers/tokenization_openai.py utils/transformers/examples/movement-pruning/bertarize.py utils/transformers/examples/bert-loses-patience/pabee/modeling_pabee_bert.py utils/transformers/tests/test_modeling_tf_distilbert.py utils/transformers/tests/test_model_card.py finetune/fewshotRE/FewRel/models/pair.py utils/transformers/src/transformers/modeling_electra.py utils/transformers/examples/seq2seq/bertabs/configuration_bertabs.py utils/transformers/src/transformers/convert_mobilebert_original_tf_checkpoint_to_pytorch.py utils/transformers/src/transformers/commands/__init__.py utils/transformers/src/transformers/tokenization_longformer.py utils/transformers/tests/test_tokenization_ctrl.py utils/transformers/utils/link_tester.py utils/transformers/examples/adversarial/utils_hans.py utils/transformers/tests/test_activations.py utils/transformers/src/transformers/convert_xlnet_original_tf_checkpoint_to_pytorch.py utils/transformers/src/transformers/modeling_utils.py utils/transformers/examples/text-generation/pplm/run_pplm.py utils/transformers/examples/text-classification/run_tf_glue.py utils/transformers/examples/benchmarking/run_benchmark_tf.py utils/transformers/tests/test_tokenization_common.py utils/transformers/templates/adding_a_new_model/modeling_xxx.py utils/transformers/examples/text-generation/pplm/run_pplm_discrim_train.py utils/transformers/src/transformers/modeling_transfo_xl_utilities.py utils/transformers/templates/adding_a_new_model/tokenization_xxx.py utils/transformers/src/transformers/commands/train.py utils/transformers/examples/xla_spawn.py utils/transformers/src/transformers/configuration_albert.py utils/transformers/examples/seq2seq/distillation.py utils/transformers/tests/test_tokenization_xlnet.py utils/transformers/src/transformers/hf_api.py utils/transformers/src/transformers/convert_reformer_trax_checkpoint_to_pytorch.py utils/transformers/examples/token-classification/run_pl_ner.py utils/transformers/src/transformers/data/datasets/glue.py utils/transformers/src/transformers/configuration_roberta.py utils/transformers/src/transformers/tokenization_ctrl.py utils/transformers/src/transformers/modeling_tf_ctrl.py utils/transformers/tests/test_benchmark.py utils/transformers/src/transformers/configuration_reformer.py utils/transformers/examples/movement-pruning/emmental/__init__.py main collate_fn_pair FewRelDataset collate_fn_unsupervised get_loader_pair FewRelUnsupervisedDataset collate_fn get_loader_unsupervised get_loader FewRelDatasetPair FewShotREModel FewShotREFramework warmup_linear FileDataLoader JSONFileDataLoader RobertaSentenceEncoder BERTSentenceEncoder CNNSentenceEncoder BERTPAIRSentenceEncoder RobertaPAIRSentenceEncoder BERTSentenceEncoder CNNSentenceEncoder RobertaSentenceEncoder Embedding Encoder Discriminator GNN Wcompute gmul GNN_nl_omniglot Gconv GNN_nl GNN_active LearnerForBasic MetaNet log_and_sign LearnerForAttention Pair Proto l2norm ProtoNorm Siamese CausalConv1d SNAIL TCBlock AttentionBlock DenseBlock REDataset set_seed eval_ACC f1_score train eval_F1 REModel CPDataset MTBDataset train set_seed log_loss MTB CP mask_tokens set_seed filter_sentence process_data_for_MTB process_data_for_CP get_type2id sample_trainset EntityMarker modelForSequenceClassification config model tokenizer modelForQuestionAnswering modelWithLMHead setup BaseTransformer set_seed LoggingCallback add_generic_args generic_train ExamplesTests get_setup_file main parse_args DataTrainingArguments hans_data_collator _mp_fn ModelArguments main InputFeatures HansDataset InputExample TFHansDataset HansProcessor hans_convert_examples_to_features can_convert_to_int Plot list_field PlotArguments main can_convert_to_float main main set_seed evaluate main train load_and_cache_examples get_setup_file PabeeTests AlbertTransformerWithPabee AlbertModelWithPabee AlbertForSequenceClassificationWithPabee BertForSequenceClassificationWithPabee BertModelWithPabee BertEncoderWithPabee entropy print_2d_tensor compute_heads_importance main mask_heads prune_heads fill_mask load_rocstories_dataset main pre_process_datasets accuracy read_swag_examples set_seed evaluate InputFeatures accuracy _truncate_seq_pair SwagExample convert_examples_to_features select_field main train load_and_cache_examples main load_examples set_seed evaluate main train get_mmimdb_labels collate_fn get_image_transforms ImageEncoder JsonlDataset Distiller GroupedBatchSampler _quantize create_lengths_groups LmSeqsDataset set_seed evaluate main to_list train load_and_cache_examples main freeze_token_type_embeddings sanity_checks freeze_pos_embeddings set_seed init_gpu_params git_log main DataTrainingArguments _mp_fn get_dataset ModelArguments main make_support load_train_data load_indexes load_models answer_question find_nearest_training train_qa_retriever_joint_epoch make_qa_retriever_model RetrievalQAEmbedder query_qa_dense_index_nn train_qa_retriever train_qa_s2s_epoch embed_questions_for_retrieval evaluate_qa_retriever train_qa_retriever_epoch eval_qa_s2s_epoch embed_passages_for_retrieval ELI5DatasetS2S batch_query_qa_dense_index make_es_index_snippets evaluate_retriever make_qa_s2s_batch query_es_index make_qa_retriever_batch ELI5DatasetQARetriver make_qa_dense_index make_qa_s2s_model qa_s2s_generate query_qa_dense_index batch_query_qa_dense_index_nn train_qa_s2s main main set_seed evaluate schedule_threshold regularization main train load_and_cache_examples set_seed evaluate schedule_threshold regularization main to_list train load_and_cache_examples MaskedBertConfig MaskedBertForQuestionAnswering BertEncoder BertIntermediate BertAttention MaskedBertPreTrainedModel BertSelfAttention BertPooler MaskedBertModel BertEmbeddings MaskedBertForSequenceClassification MaskedBertForMultipleChoice BertLayer BertOutput BertSelfOutput MaskedBertForTokenClassification TopKBinarizer MagnitudeBinarizer ThresholdBinarizer MaskedLinear simple_accuracy DataTrainingArguments _mp_fn ModelArguments main simple_accuracy DataTrainingArguments main ModelArguments ArcProcessor TFMultipleChoiceDataset MultipleChoiceDataset SynonymProcessor InputFeatures RaceProcessor Split InputExample convert_examples_to_features SwagProcessor DataProcessor set_seed evaluate main to_list train load_and_cache_examples DataTrainingArguments main ModelArguments Seq2SeqLoggingCallback count_trainable_parameters get_checkpoint_callback T5SummarizationDistiller evaluate_checkpoint distill_main BartSummarizationDistiller create_module get_layers_to_copy main SummarizationModule TranslationModule copy_decoder_layers init_student copy_layers generate_summaries_or_translations chunks run_generate _dump_articles test_dataset test_run_eval_bart make_test_data_dir test_finetune TestSummarizationDistiller pickle_load SummarizationDataset trim_batch load_json use_task_specific_params assert_all_frozen assert_not_all_frozen save_json get_git_info calculate_rouge flatten_list calculate_bleu_score lmap SortishSampler pickle_save any_requires_grad save_git_info freeze_params grad_status encode_file BertAbsConfig convert_bertabs_checkpoints BertAbsPreTrainedModel PositionwiseFeedForward TransformerDecoderLayer build_predictor gelu TransformerDecoder PenaltyBuilder Translator BertAbs Bert TransformerDecoderState BertSumOptimizer tile DecoderState MultiHeadedAttention PositionalEncoding GNMTGlobalScorer format_rouge_scores format_summary evaluate decode_summary save_rouge_scores documents_dir_is_valid main build_data_iterator load_and_cache_examples save_summaries collate SummarizationDataProcessingTest CNNDMDataset encode_for_summarization truncate_or_pad compute_token_type_ids build_mask process_story _add_missing_period main _mp_fn ModelArguments GLUETransformer GlueDataTrainingArguments Split get_tfds ModelArguments main set_seed evaluate main train load_and_cache_examples set_seed prepare_xlm_input prepare_transfoxl_input prepare_ctrl_input adjust_length_to_model main prepare_xlnet_input ClassificationHead full_text_generation run_pplm_example get_bag_of_words_indices top_k_filter perturb_past set_generic_model_params build_bows_one_hot_vectors generate_text_pplm get_classifier train_discriminator train_epoch cached_collate_fn get_cached_data_loader collate_fn Discriminator Dataset predict evaluate_performance DataTrainingArguments main _mp_fn ModelArguments NERTransformer DataTrainingArguments main ModelArguments ExamplesTests InputFeatures Split get_labels InputExample NerDataset convert_examples_to_features read_examples_from_file TFNerDataset swish _gelu_python gelu_fast get_activation gelu_new AlbertConfig AutoConfig MBartConfig BartConfig BertConfig CamembertConfig CTRLConfig DistilBertConfig ElectraConfig EncoderDecoderConfig FlaubertConfig GPT2Config LongformerConfig MMBTConfig MobileBertConfig OpenAIGPTConfig ReformerConfig RetriBertConfig RobertaConfig T5Config TransfoXLConfig PretrainedConfig XLMConfig XLMRobertaConfig XLNetConfig convert_checkpoint_from_disk remove_ignore_keys_ convert_bart_checkpoint load_xsum_checkpoint rename_key convert_tf_checkpoint_to_pytorch main convert_pytorch_checkpoint_to_tf convert_dialogpt_checkpoint convert_tf_checkpoint_to_pytorch convert_gpt2_checkpoint_to_pytorch infer_shapes convert verify convert_tensorflow convert_pytorch ensure_valid_input load_graph_from_args OnnxConverterArgumentParser convert_longformer_qa_checkpoint_to_pytorch LightningModel download_and_unzip get_clean_model_id_mapping OpusState check_marian_cfg_assumptions cast_marian_config convert_all_sentencepiece_models _cast_yaml_str add_emb_entries add_to_vocab_ load_layers_ convert_opus_name_to_hf_name save_json write_model_card make_registry convert_hf_name_to_opus_name fetch_test_set load_yaml remove_prefix convert_encoder_layer _parse_readme save_tokenizer_config lmap convert_whole_dir find_vocab_file add_special_tokens_to_vocab find_model_file unzip convert check_equal load_config_from_state_dict find_pretrained_model save_tokenizer convert_tf_checkpoint_to_pytorch convert_openai_checkpoint_to_pytorch convert_all_pt_checkpoints_to_tf convert_pt_checkpoint_to_tf convert_roberta_checkpoint_to_pytorch convert_tf_checkpoint_to_pytorch convert_transfo_xl_checkpoint_to_pytorch convert_xlm_checkpoint_to_pytorch convert_xlnet_checkpoint_to_pytorch is_torch_available filename_to_url tf_required is_apex_available get_from_cache add_start_docstrings add_code_sample_docstrings is_remote_url is_tf_available cached_path http_get hf_bucket_url add_start_docstrings_to_callable add_end_docstrings is_py3nvml_available is_psutil_available is_torch_tpu_available url_to_filename torch_required cached_property _create_next_token_logits_penalties set_tensor_by_indices_to_value calc_banned_ngram_tokens scatter_values_on_batch_indices sample_without_replacement BeamHypotheses tf_top_k_top_p_filtering calc_banned_bad_words_ids shape_list TFGenerationMixin GenerationMixin calc_banned_ngram_tokens top_k_top_p_filtering calc_banned_bad_words_ids BeamHypotheses S3Object HfApi PresignedUrl ModelInfo S3Obj HfFolder TqdmProgressFileReader HfArgumentParser ModelCard AlbertForPreTraining AlbertForMaskedLM AlbertForQuestionAnswering AlbertTransformer AlbertSOPHead load_tf_weights_in_albert AlbertPreTrainedModel AlbertMLMHead AlbertModel AlbertForMultipleChoice AlbertAttention AlbertLayer AlbertForSequenceClassification AlbertForTokenClassification AlbertEmbeddings AlbertLayerGroup AutoModel AutoModelForQuestionAnswering AutoModelForCausalLM AutoModelForTokenClassification AutoModelForMultipleChoice AutoModelForSeq2SeqLM AutoModelForMaskedLM AutoModelForPreTraining AutoModelWithLMHead AutoModelForSequenceClassification make_padding_mask PretrainedBartModel LayerNorm _get_shape _make_linear_from_emb _check_shapes shift_tokens_right SinusoidalPositionalEmbedding SelfAttention invert_mask _reorder_buffer DecoderLayer _prepare_bart_decoder_inputs LearnedPositionalEmbedding BartForQuestionAnswering BartModel BartDecoder BartEncoder EncoderLayer BartForConditionalGeneration BartClassificationHead fill_with_neg_inf _filter_out_falsey_values BartForSequenceClassification BertPreTrainingHeads BertForQuestionAnswering BertEncoder BertSelfAttention BertForMaskedLM BertOnlyMLMHead BertOnlyNSPHead BertEmbeddings BertOutput mish BertPredictionHeadTransform BertAttention BertPooler BertPreTrainedModel BertLMHeadModel BertForMultipleChoice BertLayer BertForTokenClassification BertModel BertForNextSentencePrediction BertIntermediate BertForSequenceClassification BertForPreTraining BertLMPredictionHead load_tf_weights_in_bert BertSelfOutput point_wise_feed_forward_network scaled_dot_product_attention CTRLLMHeadModel MultiHeadAttention CTRLModel angle_defn positional_encoding CTRLPreTrainedModel EncoderLayer Transformer DistilBertForSequenceClassification DistilBertForTokenClassification create_sinusoidal_embeddings DistilBertForMaskedLM Embeddings FFN DistilBertPreTrainedModel TransformerBlock DistilBertForQuestionAnswering DistilBertForMultipleChoice DistilBertModel MultiHeadSelfAttention load_tf_weights_in_electra ElectraForMultipleChoice ElectraPreTrainedModel ElectraClassificationHead ElectraModel ElectraForPreTraining ElectraForMaskedLM ElectraForSequenceClassification ElectraForTokenClassification ElectraForQuestionAnswering ElectraGeneratorPredictions ElectraEmbeddings ElectraDiscriminatorPredictions EncoderDecoderModel FlaubertForSequenceClassification FlaubertWithLMHeadModel FlaubertForQuestionAnswering FlaubertModel FlaubertForQuestionAnsweringSimple GPT2LMHeadModel Block GPT2DoubleHeadsModel load_tf_weights_in_gpt2 MLP GPT2PreTrainedModel GPT2Model Attention LongformerForMaskedLM LongformerForSequenceClassification LongformerModel LongformerClassificationHead _get_question_end_index LongformerEncoder LongformerForTokenClassification LongformerAttention LongformerPreTrainedModel _compute_global_attention_mask LongformerForMultipleChoice LongformerSelfAttention LongformerForQuestionAnswering LongformerLayer MarianMTModel ModalEmbeddings MMBTModel MMBTForClassification MobileBertLMPredictionHead MobileBertEncoder MobileBertSelfAttention MobileBertIntermediate Bottleneck FFNLayer MobileBertForQuestionAnswering MobileBertModel MobileBertOnlyNSPHead MobileBertPreTrainedModel MobileBertLayer MobileBertEmbeddings MobileBertForSequenceClassification MobileBertSelfOutput BottleneckLayer MobileBertPooler MobileBertPreTrainingHeads MobileBertForMultipleChoice load_tf_weights_in_mobilebert mish NoNorm MobileBertOutput FFNOutput MobileBertForTokenClassification MobileBertOnlyMLMHead MobileBertAttention MobileBertForMaskedLM OutputBottleneck MobileBertForPreTraining MobileBertPredictionHeadTransform MobileBertForNextSentencePrediction Block OpenAIGPTPreTrainedModel MLP OpenAIGPTDoubleHeadsModel OpenAIGPTLMHeadModel Attention OpenAIGPTModel load_tf_weights_in_openai_gpt ReformerOnlyLMHead ReformerModelWithLMHead ReformerEmbeddings ReformerLayer ReformerSelfOutput LSHSelfAttention ReformerFeedForwardOutput ReformerPreTrainedModel _get_least_common_mult_chunk_len mish ChunkReformerFeedForward EfficientAttentionMixin ReformerEncoder ReformerForMaskedLM _ReversibleFunction PositionEmbeddings ReformerForQuestionAnswering ReformerFeedForwardDense AxialPositionEmbeddings ReformerModel ReverseSort LocalSelfAttention ReformerAttention RetriBertModel RetriBertPreTrainedModel RobertaForSequenceClassification RobertaLMHead create_position_ids_from_input_ids RobertaClassificationHead RobertaForTokenClassification RobertaEmbeddings RobertaForQuestionAnswering RobertaForMultipleChoice RobertaForMaskedLM RobertaModel T5LayerSelfAttention T5PreTrainedModel T5Stack load_tf_weights_in_t5 T5Attention T5Model T5LayerCrossAttention T5LayerNorm T5DenseReluDense T5Block T5ForConditionalGeneration T5LayerFF TFAutoModelForSequenceClassification TFAutoModel TFAutoModelForQuestionAnswering TFAutoModelWithLMHead TFAutoModelForMultipleChoice TFAutoModelForTokenClassification TFAutoModelForPreTraining TFBertModel TFBertAttention TFBertPreTrainedModel gelu_new TFBertForPreTraining TFBertIntermediate TFBertNSPHead TFBertForMaskedLM TFBertSelfAttention TFBertLayer TFBertPredictionHeadTransform TFBertEmbeddings TFBertEncoder TFBertPooler TFBertOutput TFBertForSequenceClassification TFBertForTokenClassification gelu TFBertMainLayer TFBertSelfOutput TFBertForNextSentencePrediction TFBertMLMHead swish TFBertForMultipleChoice TFBertForQuestionAnswering TFBertLMPredictionHead TFCamembertForSequenceClassification TFCamembertForMultipleChoice TFCamembertModel TFCamembertForTokenClassification TFCamembertForMaskedLM TFCamembertForQuestionAnswering point_wise_feed_forward_network scaled_dot_product_attention TFCTRLLMHeadModel TFEncoderLayer TFMultiHeadAttention TFCTRLPreTrainedModel angle_defn TFCTRLModel TFCTRLMainLayer positional_encoding TFCTRLLMHead TFDistilBertForMaskedLM TFDistilBertPreTrainedModel TFFFN TFDistilBertMainLayer TFDistilBertForQuestionAnswering gelu TFMultiHeadSelfAttention TFDistilBertModel TFTransformerBlock TFTransformer TFDistilBertForSequenceClassification TFDistilBertForTokenClassification TFEmbeddings TFDistilBertForMultipleChoice gelu_new TFDistilBertLMHead TFElectraForMaskedLM TFElectraDiscriminatorPredictions TFElectraEmbeddings TFElectraMainLayer TFElectraForQuestionAnswering TFElectraForPreTraining TFElectraForTokenClassification TFElectraMaskedLMHead TFElectraPreTrainedModel TFElectraModel TFElectraGeneratorPredictions TFFlaubertForTokenClassification TFFlaubertForSequenceClassification TFFlaubertForMultipleChoice TFFlaubertWithLMHeadModel TFFlaubertModel TFFlaubertForQuestionAnsweringSimple TFFlaubertMainLayer TFAttention TFGPT2MainLayer TFMLP TFGPT2LMHeadModel TFGPT2Model gelu TFGPT2PreTrainedModel TFGPT2DoubleHeadsModel TFBlock TFMobileBertOnlyNSPHead TFMobileBertPooler TFMobileBertIntermediate TFMobileBertForMaskedLM TFMobileBertForPreTraining TFMobileBertLMPredictionHead TFMobileBertForQuestionAnswering TFBottleneckLayer TFMobileBertPreTrainedModel TFNoNorm TFOutputBottleneck TFMobileBertLayer TFMobileBertPredictionHeadTransform TFMobileBertForNextSentencePrediction mish TFMobileBertForTokenClassification TFBottleneck TFMobileBertModel TFMobileBertEncoder TFMobileBertMainLayer TFMobileBertMLMHead TFLayerNorm TFFFNOutput TFMobileBertForMultipleChoice TFMobileBertEmbeddings TFMobileBertForSequenceClassification TFMobileBertAttention TFFFNLayer TFMobileBertSelfOutput TFMobileBertOutput TFMobileBertSelfAttention TFAttention TFMLP gelu swish TFOpenAIGPTModel TFOpenAIGPTMainLayer TFOpenAIGPTPreTrainedModel TFOpenAIGPTLMHeadModel TFOpenAIGPTDoubleHeadsModel TFBlock load_pytorch_model_in_tf2_model load_pytorch_weights_in_tf2_model convert_tf_weight_name_to_pt_weight_name load_pytorch_checkpoint_in_tf2_model load_tf2_checkpoint_in_pytorch_model load_tf2_weights_in_pytorch_model load_tf2_model_in_pytorch_model TFRobertaForMultipleChoice TFRobertaForTokenClassification TFRobertaForMaskedLM TFRobertaLMHead TFRobertaForSequenceClassification TFRobertaClassificationHead TFRobertaPreTrainedModel TFRobertaMainLayer TFRobertaEmbeddings TFRobertaForQuestionAnswering TFRobertaModel TFT5Block TFT5LayerCrossAttention _NoLayerEmbedTokens TFT5LayerNorm TFT5LayerFF TFT5DenseReluDense TFT5PreTrainedModel TFT5MainLayer TFT5Attention TFT5ForConditionalGeneration TFT5Model TFT5LayerSelfAttention TFPositionalEmbedding TFTransfoXLLMHeadModel TFTransfoXLPreTrainedModel TFTransfoXLMHead TFRelPartialLearnableDecoderLayer TFPositionwiseFF TFAdaptiveEmbedding TFTransfoXLMainLayer TFRelPartialLearnableMultiHeadAttn TFTransfoXLModel TFAdaptiveSoftmaxMask MarianConfig convert_tf_checkpoint_to_pytorch set_layer_weights_in_torch_lsh set_param convert_trax_checkpoint_to_pytorch set_model_weights_in_torch set_block_weights_in_torch set_layer_weights_in_torch_local CamembertForSequenceClassification CamembertModel CamembertForMaskedLM CamembertForQuestionAnswering CamembertForMultipleChoice CamembertForTokenClassification TFAlbertLayerGroup TFAlbertMainLayer TFAlbertSelfAttention TFAlbertForQuestionAnswering TFAlbertTransformer TFAlbertModel TFAlbertSOPHead TFAlbertForSequenceClassification TFAlbertEmbeddings TFAlbertSelfOutput TFAlbertForMultipleChoice TFAlbertLayer TFAlbertAttention TFAlbertPreTrainedModel TFAlbertForMaskedLM TFAlbertMLMHead TFAlbertForPreTraining TFAlbertForTokenClassification TFSequenceSummary TFPreTrainedModel TFSharedEmbeddings TFTokenClassificationLoss cast_bool_to_primitive TFSequenceClassificationLoss TFConv1D TFModelUtilsMixin keras_serializable TFQuestionAnsweringLoss get_initializer shape_list MBartTokenizer BartTokenizer BartTokenizerFast TFXLMModel get_masks create_sinusoidal_embeddings TFTransformerFFN gelu TFMultiHeadAttention TFXLMPreTrainedModel TFXLMForSequenceClassification TFXLMWithLMHeadModel TFXLMForQuestionAnsweringSimple TFXLMForMultipleChoice TFXLMPredLayer TFXLMForTokenClassification TFXLMMainLayer TFXLMRobertaForMultipleChoice TFXLMRobertaForMaskedLM TFXLMRobertaForSequenceClassification TFXLMRobertaForTokenClassification TFXLMRobertaModel TFXLMRobertaForQuestionAnswering TFXLNetForTokenClassification TFXLNetRelativeAttention TFXLNetPreTrainedModel gelu swish TFXLNetModel TFXLNetForMultipleChoice TFXLNetForSequenceClassification TFXLNetForQuestionAnsweringSimple TFXLNetLMHead TFXLNetLMHeadModel TFXLNetLayer TFXLNetFeedForward TFXLNetMainLayer TransfoXLModel PositionalEmbedding load_tf_weights_in_transfo_xl AdaptiveEmbedding TransfoXLPreTrainedModel RelPartialLearnableDecoderLayer TransfoXLLMHeadModel PositionwiseFF build_tf_to_pytorch_map RelPartialLearnableMultiHeadAttn ProjectedAdaptiveLogSoftmax prune_layer SQuADHead PoolerAnswerClass SequenceSummary prune_linear_layer apply_chunking_to_forward prune_conv1d_layer PoolerEndLogits find_pruneable_heads_and_indices ModuleUtilsMixin Conv1D PreTrainedModel PoolerStartLogits XLMModel XLMWithLMHeadModel XLMPreTrainedModel XLMPredLayer XLMForSequenceClassification get_masks create_sinusoidal_embeddings MultiHeadAttention XLMForQuestionAnswering TransformerFFN XLMForQuestionAnsweringSimple XLMForTokenClassification XLMRobertaForMultipleChoice XLMRobertaForSequenceClassification XLMRobertaForQuestionAnswering XLMRobertaForTokenClassification XLMRobertaModel XLMRobertaForMaskedLM XLNetRelativeAttention XLNetPreTrainedModel XLNetForQuestionAnswering build_tf_xlnet_to_pytorch_map XLNetLMHeadModel XLNetForMultipleChoice XLNetForQuestionAnsweringSimple load_tf_weights_in_xlnet XLNetFeedForward XLNetForSequenceClassification XLNetModel XLNetLayer XLNetForTokenClassification get_constant_schedule_with_warmup AdamW get_linear_schedule_with_warmup get_constant_schedule get_cosine_with_hard_restarts_schedule_with_warmup get_cosine_schedule_with_warmup AdamWeightDecay GradientAccumulator WarmUp create_optimizer ArgumentHandler PipelineDataFormat PipelineException CsvPipelineDataFormat TextGenerationPipeline FillMaskPipeline SummarizationPipeline get_framework _ScikitCompat JsonPipelineDataFormat TokenClassificationPipeline Pipeline DefaultArgumentHandler TextClassificationPipeline QuestionAnsweringPipeline TranslationPipeline FeatureExtractionPipeline QuestionAnsweringArgumentHandler PipedPipelineDataFormat pipeline require_tf parse_flag_from_env parse_int_from_env custom_tokenizers slow require_torch require_multigpu AlbertTokenizer AutoTokenizer BertTokenizerFast BasicTokenizer WordpieceTokenizer load_vocab whitespace_tokenize BertTokenizer BertJapaneseTokenizer MecabTokenizer CharacterTokenizer CamembertTokenizer get_pairs CTRLTokenizer DistilBertTokenizerFast DistilBertTokenizer ElectraTokenizer ElectraTokenizerFast convert_to_unicode FlaubertTokenizer bytes_to_unicode get_pairs GPT2TokenizerFast GPT2Tokenizer LongformerTokenizerFast LongformerTokenizer load_json load_spm save_json MarianTokenizer MobileBertTokenizer MobileBertTokenizerFast get_pairs text_standardize OpenAIGPTTokenizer OpenAIGPTTokenizerFast ReformerTokenizer RetriBertTokenizerFast RetriBertTokenizer RobertaTokenizerFast RobertaTokenizer T5Tokenizer LMShuffledIterator LMOrderedIterator TransfoXLCorpus LMMultiFileIterator get_lm_corpus TransfoXLTokenizerFast _TransfoXLDelimiterLookupTokenizer TransfoXLTokenizer _is_start_of_word _is_end_of_word _is_whitespace _is_control _is_punctuation PreTrainedTokenizer PaddingStrategy CharSpan PreTrainedTokenizerBase TensorType SpecialTokensMixin TruncationStrategy BatchEncoding ExplicitEnum TokenSpan PreTrainedTokenizerFast get_pairs replace_unicode_punct remove_non_printing_char romanian_preprocessing XLMTokenizer lowercase_and_remove_accent XLMRobertaTokenizer XLNetTokenizer get_tpu_sampler is_tensorboard_available torch_distributed_zero_first Trainer SequentialDistributedSampler TFTrainer set_seed PredictionOutput is_wandb_available EvalPrediction TrainOutput TrainingArguments default_logdir TFTrainingArguments PyTorchBenchmark PyTorchBenchmarkArguments TensorFlowBenchmarkArguments BenchmarkArguments list_field random_input_ids TensorFlowBenchmark run_with_tf_optimizations Benchmark start_memory_tracing separate_process_wrapper_fn MemorySummary Memory is_memory_tracing_enabled Frame MemoryState bytes_to_mega_bytes UsedMemoryState stop_memory_tracing measure_peak_memory_cpu ConvertCommand convert_command_factory download_command_factory DownloadCommand info_command_factory EnvironmentCommand run_command_factory try_infer_format_from_ext RunCommand ServeForwardResult ServeModelInfoResult serve_command_factory ServeDeTokenizeResult ServeCommand ServeTokenizeResult train_command_factory TrainCommand main WhoamiCommand UploadCommand LoginCommand ANSI BaseUserCommand DeleteObjCommand UserCommands LogoutCommand ListObjsCommand BaseTransformersCLICommand DataCollatorForLanguageModeling default_data_collator GlueDataset GlueDataTrainingArguments Split LineByLineTextDataset TextDataset compute_f1 find_best_thresh_v2 normalize_answer make_eval_dict _compute_softmax find_all_best_thresh compute_predictions_logits get_final_text find_best_thresh compute_predictions_log_probs compute_exact _get_best_indexes find_all_best_thresh_v2 get_raw_scores get_tokens apply_no_ans_threshold squad_evaluate merge_eval simple_accuracy pearson_and_spearman glue_compute_metrics xnli_compute_metrics is_sklearn_available acc_and_f1 MrpcProcessor ColaProcessor MnliMismatchedProcessor QqpProcessor _tf_glue_convert_examples_to_features MnliProcessor _glue_convert_examples_to_features StsbProcessor glue_convert_examples_to_features QnliProcessor RteProcessor OutputMode WnliProcessor Sst2Processor _check_is_max_context SquadProcessor SquadV2Processor squad_convert_examples_to_features _improve_answer_span _is_whitespace SquadV1Processor SquadExample _new_check_is_max_context squad_convert_example_to_features_init squad_convert_example_to_features SquadFeatures SquadResult SingleSentenceClassificationProcessor InputFeatures DataProcessor InputExample XnliProcessor set_seed evaluate main to_list train load_and_cache_examples _check_is_max_context _compute_softmax write_predictions_extended InputFeatures get_final_text _improve_answer_span _get_best_indexes read_squad_examples convert_examples_to_features SquadExample write_predictions XxxConfig convert_tf_checkpoint_to_pytorch TFXxxForTokenClassification TFXxxPreTrainedModel TFXxxForMaskedLM TFXxxForQuestionAnswering TFXxxForSequenceClassification TFXxxModel TFXxxMainLayer TFXxxLayer XxxForTokenClassification XxxPreTrainedModel XxxForSequenceClassification XxxModel XxxForMaskedLM XxxLayer XxxForQuestionAnswering load_tf_weights_in_xxx XxxTokenizer load_vocab TFXxxModelTest XxxModelTest XxxTokenizationTest TestActivations BenchmarkTest TFBenchmarkTest AutoConfigTest ConfigTester TestCodeExamples HfApiEndpointsTest HfApiPublicTest HfApiLoginTest HfApiCommonTest HfFolderTest HfArgumentParserTest BasicEnum WithDefaultBoolExample EnumExample ListExample list_field WithDefaultExample BasicExample OptionalExample AlbertModelTest AlbertModelTester AutoModelTest TestSinusoidalPositionalEmbeddings _long_tensor BartModelIntegrationTests _assert_tensors_equal prepare_bart_inputs_dict MBartIntegrationTests BARTModelTest BartHeadTests ModelTester BertModelTest BertModelTester CamembertModelIntegrationTest ModelUtilsTest _config_zero_init floats_tensor UtilsFunctionsTest ModelTesterMixin ids_tensor DistilBertModelTester DistilBertModelTest ElectraModelTest ElectraModelTester EncoderDecoderModelTest FlaubertModelTester FlaubertModelTest GPT2ModelTest GPT2ModelLanguageGenerationTest GPT2ModelTester LongformerModelTest LongformerModelIntegrationTest LongformerModelTester MarianIntegrationTest TestMarian_MT_EN TestMarian_EN_FR TestMarian_en_ROMANCE ModelManagementTests TestMarian_EN_DE_More TestConversionUtils TestMarian_RU_FR TestMarian_FR_EN MobileBertModelIntegrationTests _long_tensor MobileBertModelTester MobileBertModelTest OpenAIGPTModelTester OPENAIGPTModelLanguageGenerationTest OpenAIGPTModelTest ReformerLocalAttnModelTest ReformerLSHAttnModelTest ReformerTesterMixin ReformerIntegrationTests ReformerModelTester RobertaModelTester RobertaModelTest RobertaModelIntegrationTest T5ModelTest T5ModelTester T5ModelIntegrationTests TFAlbertModelTest TFAlbertModelTester TFAutoModelTest TFCamembertModelIntegrationTest UtilsFunctionsTest _config_zero_init ids_tensor TFModelTesterMixin TFCTRLModelLanguageGenerationTest TFCTRLModelTester TFCTRLModelTest TFDistilBertModelTest TFDistilBertModelTester TFElectraModelTest TFElectraModelTester TFFlaubertModelIntegrationTest TFGPT2ModelLanguageGenerationTest TFGPT2ModelTest TFGPT2ModelTester TFMobileBertModelTest TFOPENAIGPTModelLanguageGenerationTest TFOpenAIGPTModelTest TFOpenAIGPTModelTester TFRobertaModelTest TFRobertaModelTester TFRobertaModelIntegrationTest TFT5ModelIntegrationTests TFT5ModelTester TFT5ModelTest TFTransfoXLModelTester TFTransfoXLModelTest TFTransfoXLModelLanguageGenerationTest TFXLMModelTest TFXLMModelLanguageGenerationTest TFXLMModelTester TFFlaubertModelIntegrationTest TransfoXLModelTester TransfoXLModelLanguageGenerationTest TransfoXLModelTest XLMModelTester XLMModelTest XLMModelLanguageGenerationTest XLMRobertaModelIntegrationTest XLNetModelTester XLNetModelLanguageGenerationTest XLNetModelTest ModelCardTester OnnxExportTestCase FuncContiguousArgs FuncNonContiguousArgs ScheduleInitTest unwrap_and_save_reload_schedule OptimizationTest unwrap_schedule OptimizationFTest MonoColumnInputTestCase PipelineCommonTests DefaultArgumentHandlerTestCase QAPipelineTests AlbertTokenizationTest AutoTokenizerTest BertTokenizationTest BertJapaneseTokenizationTest BertJapaneseCharacterTokenizationTest TokenizerTesterMixin merge_model_tokenizer_mappings CTRLTokenizationTest DistilBertTokenizationTest RobertaFastTokenizerTest filter_non_english NoPaddingTokenFastTokenizerMatchingTest TransfoXLFastTokenizerTest WordPieceFastTokenizerTest filter_roberta_detectors CommonFastTokenizerTest GPT2TokenizationTest MarianTokenizationTest OpenAIGPTTokenizationTest RobertaTokenizationTest T5TokenizationTest TransfoXLTokenizationTest TokenizerUtilsTest XLMTokenizationTest XLMRobertaTokenizationTest XLNetTokenizationTest DataCollatorIntegrationTest TrainerIntegrationTest compute_metrics DummyDataCollator DummyDataset DummyModel CTRLModelLanguageGenerationTest CTRLModelTester CTRLModelTest TFBertModelTester TFBertModelTest TFXLNetModelLanguageGenerationTest TFXLNetModelTest TFXLNetModelTester download_and_extract format_mrpc get_tasks main download_diagnostic find_all_links check_all_links scan_code_for_links list_python_files_in_repository batch_size model SGD ArgumentParser K N cuda Proto trainN open seed adv Adam pair CNNSentenceEncoder Discriminator BERTPAIRSentenceEncoder encoder parse_args RobertaPAIRSentenceEncoder save_ckpt max_length manual_seed_all val GNN format test test_iter get_loader_pair eval mkdir manual_seed is_available load join embedding SNAIL Q load_ckpt print RobertaSentenceEncoder add_argument Pair path BERTSentenceEncoder FewShotREFramework get_loader_unsupervised Siamese get_loader train MetaNet hidden_size mode stack zip tensor range len FewRelDataset DataLoader stack zip tensor range len DataLoader FewRelDatasetPair stack range len DataLoader FewRelUnsupervisedDataset bmm size squeeze cat split exp abs log sqrt div Counter sum range values len seed manual_seed_all manual_seed model get_linear_schedule_with_warmup clip_grad_norm_ zero_grad SGD DataParallel numpy ckpt_to_load max_grad_norm dataset open ctime str initialize max_epoch Adam master_params sum range close lr flush backward AdamW print write parameters step len model tolist extend f1_score rel_num numpy write flush model join plot xlabel grid close ylabel title savefig mkdir legend gradient_accumulation_steps batch_size_per_gpu DataLoader DistributedDataParallel save save_dir train_sample mkdir enumerate join n_gpu __sample__ set_epoch pad_token_id mask_token convert_tokens_to_ids clone randint shape masked_fill_ eq tensor bool full len dump extend filter_sentence open mkdir append keys len list defaultdict dump sort extend filter_sentence open mkdir append keys range len str defaultdict print write extend shuffle dumps close open append keys len open dump print len add_js_file add_css_file add_argument set_seed fp16_opt_level n_tpu_cores Trainer fp16 mkdir Path output_dir LoggingCallback ModelCheckpoint do_train log_hyperparams save fit parse_args add_argument ArgumentParser add_argument ArgumentParser str spawn stem resolve training_script_args _mp_fn import_module Path training_script append pop default_data_collator from_pretrained do_eval bool save_model Trainer warning do_train device output_dir predictions argmax basicConfig set_seed get_labels predict is_world_master save_pretrained info fp16 parse_args_into_dataclasses n_gpu metrics model_name_or_path _log HfArgumentParser local_rank main int text_b InputFeatures tokenizer tqdm info append text_a enumerate pairID int float Plot plot PyTorchBenchmark run TensorFlowBenchmark tuple output_dir max exists set_seed logging_steps load_state_dict state_dict SummaryWriter format mean save_pretrained num_train_epochs info fp16 trange per_gpu_train_batch_size max_steps load int items evaluate model_name_or_path add_scalar dumps tqdm train_batch_size set_patience tuple set_regression_threshold DataLoader DataParallel numpy argmax max eval_batch_size squeeze per_gpu_eval_batch_size compute_metrics append SequentialSampler update format eval reset_stats info zip regression_threshold join n_gpu log_stats makedirs tqdm load_and_cache_examples len pop join str format load max_seq_length data_dir barrier get_labels TensorDataset convert_examples_to_features save info tensor enable_attach save eval_all_checkpoints setLevel list set_device device_count to sum WARN update init_process_group lower wait_for_attach task_name evaluate barrier dict load_and_cache_examples len log join len range info arange model unsqueeze save device output_dir max numel append to sum detach requires_grad_ info view_as enumerate items join entropy backward min print_2d_tensor tqdm pow zeros numpy numpy save output_dir max str view tolist numel masking_threshold sum detach ones_like info float view_as int join clone print_2d_tensor compute_heads_importance masking_amount now dict compute_heads_importance info sum DataParallel DistributedDataParallel GlueDataset DataLoader data_subset prune_heads range mask_heads makedirs min Subset compute_heads_importance join topk mask_token replace unsqueeze softmax split item append enumerate argmax tuple len append zeros full enumerate gradient_accumulation_steps resize_token_embeddings get_linear_schedule_with_warmup tuple n_positions zero_grad add_tokens tokenize_and_encode numpy pre_process_datasets max save_vocabulary convert_tokens_to_ids TensorDataset to_json_file eval_dataset SequentialSampler state_dict lm_coef num_train_epochs trange max_steps enumerate int backward AdamW accuracy train_dataset RandomSampler named_parameters tqdm model_name load_rocstories_dataset step endings label start_ending format join InputFeatures convert_tokens_to_ids map swag_id _truncate_seq_pair tqdm info append context_sentence tokenize enumerate len pop len read_swag_examples dirname select_field save_vocabulary accuracy output_dir reset_length tgt_len clamp_len mem_len get_iterator same_length ext_len criterion makedirs load_examples join max_seq_length data_dir get_mmimdb_labels get_image_transforms num_image_embeds JsonlDataset get_label_frequencies tensor BCEWithLogitsLoss MMBTForClassification load_state_dict MMBTConfig ImageEncoder load_examples get_mmimdb_labels zeros enumerate list deepcopy sorted map _quantize format info KLDivLoss alpha_squad temperature update log_softmax eval softmax loss_fct version_2_with_negative alpha_ce end_n_top max_answer_length default_timer do_lower_case n_best_size squad_evaluate verbose_logging enumerate start_n_top int compute_predictions_logits compute_predictions_log_probs version_2_with_negative null_score_diff_threshold unique_id SquadResult get_train_examples squad_convert_examples_to_features get_dev_examples teacher_name_or_path register_half_function mlm freeze_token_type_embds freeze_pos_embs LmSeqsDataset is_master exists values freeze_pos_embeddings Distiller mlm from_numpy freeze_token_type_embds freeze_token_type_embeddings student_config init_gpu_params sanity_checks dump_path items teacher_name student_pretrained_weights maximum index rmtree empty_cache student_model_class git_log Repo int str multi_gpu n_gpu_per_node init_process_group gethostname set_device global_rank n_nodes is_master multi_node info world_size node_id local_rank time tokenizer_name shuffle encode vocab_size line_by_line config_name block_size exp DataCollatorForLanguageModeling from_config max_len from_pretrained load eval load_state_dict to make_qa_s2s_model Elasticsearch index_cpu_to_gpu add IndexFlatIP memmap StandardGpuResources add IndexFlatIP memmap load_dataset embed_questions_for_retrieval search query_qa_dense_index format query_es_index update streaming_bulk create print num_rows tqdm join lower search zip from_pretrained to load load_state_dict tokenizer time format partial model backward print batch_size step zero_grad tqdm RandomSampler DataLoader train sum enumerate len time format partial model backward print batch_size zero_grad zip train step enumerate len partial tqdm eval DataLoader SequentialSampler format train_qa_retriever_epoch evaluate_qa_retriever AdamW print get_linear_schedule_with_warmup parameters save model_save_name num_epochs range from_pretrained to load load_state_dict clone tokenizer time format partial backward print batch_size step zero_grad RandomSampler tqdm DataLoader train sum SequentialSampler enumerate len time format partial print tqdm eval DataLoader SequentialSampler train_qa_s2s_epoch format eval_qa_s2s_epoch AdamW print get_linear_schedule_with_warmup parameters save model_save_name num_epochs range make_qa_s2s_batch generate tokenizer tokenizer time embed_passages_for_retrieval print num_rows memmap ceil range time format retriever_func print enumerate embed_questions_for_retrieval join search zip float embed_questions_for_retrieval float search zip join int embed_passages_for_retrieval search zip float int embed_passages_for_retrieval search zip float rstrip threshold clamp target_model_path sigmoid apply dirname pruning_method copytree serialization_dir ljust item named_parameters ValueError global_topk kl_div numel get_lr cat alpha_distil schedule_threshold item regularization min named_parameters std global_topk exp mean softmax warn get_examples_from_dataset version_2_with_negative pop TFTrainer n_replicas replace zip tokenizer question contexts warn version_2_with_negative parameters filter sum ModelCheckpoint enc_only module_cls no_teacher load str list parent Namespace glob print test mkdir create_module list range create_module mkdir hparams sorted pickle_save glob WandbLogger log_hyperparams load_state_dict state_dict layers copy_layers ModuleList load_state_dict state_dict range len from_pretrained str list batch_decode write chunks half tqdm generate use_task_specific_params to trim_batch flush open dump save_path add_argument generate_summaries_or_translations model_name ArgumentParser score_path parse_args open mkdtemp Path _dump_articles parent mkdtemp Path _dump_articles update Namespace mkdtemp make_test_data_dir main from_pretrained SummarizationDataset DataLoader make_test_data_dir max load readlines strip tokenizer tqdm lmap Path save append open any update get task_specific_params join get_git_info save_json Repo add_scores aggregate score RougeScorer BootstrapAggregator zip parameters sum lmap len len from_pretrained generator unsqueeze save device load_state_dict encode state_dict format BertAbsSummarizer eval info item load AbsSummarizer BertAbsConfig print extend allclose len Translator alpha GNMTGlobalScorer list view size contiguous range len from_pretrained format_rouge_scores batch_size min_length summaries_output_dir Rouge device dataset from_batch to max_length translate_batch alpha compute_rouge get_scores download save_summaries beam_size print build_predictor document_names save_rouge_scores build_data_iterator join zip strip SequentialSampler load_and_cache_examples DataLoader CNNDMDataset documents_dir pad_token_id Batch cls_token_id compute_token_type_ids build_mask tensor decode numpy split summaries_output_dir documents_dir listdir list popleft filter startswith deque append startswith extend len ones_like append build_compute_metrics_fn do_predict parse_json_file replace load model_type encode info str list input xlm_language keys decode prepare_input squeeze_ length tolist generate get adjust_length_to_model expand_as data resize_token_embeddings model tuple unsqueeze classifier tensor list ones mm map matmul shape permute append to sum CrossEntropyLoss range detach softmax zero_ ce_loss backward print t numpy retain_grad cached_path load format isinstance print eval load_state_dict to cached_path append list scatter_ filter append to get_classifier get_bag_of_words_indices print range append empty_cache numpy generate_text_pplm split decode model top_k_filter unsqueeze classifier tensor topk tolist append sum CrossEntropyLoss set mean multinomial softmax trange ce_loss print perturb_past build_bows_one_hot_vectors numpy from_pretrained decode full_text_generation bos_token seed list set_generic_model_params encode input to append update format set eval manual_seed enumerate get_bag_of_words_indices print parameters filter split pad_sequences keys tensor keys cat format backward print nll_loss zero_grad train_custom discriminator item dataset step enumerate len format print eval dataset len join avg_representation print tolist encode tensor DataLoader tqdm enumerate get_cached_data_loader DataLoader save Field tensor sorted splits Adam encode append to range predict state_dict detokenize format set trange evaluate_performance int time random_split print train_epoch parameters Dataset len align_predictions labels NerDataset TFNerDataset get_dataset classification_report join value isinstance words extend labels guid num_special_tokens_to_add pop pop load eval load_state_dict BartForConditionalGeneration hasattr BartConfig remove_ignore_keys_ load_state_dict _make_linear_from_emb shared from_pretrained hasattr replace remove_ignore_keys_ eval unsqueeze load_xsum_checkpoint upgrade_state_dict load_state_dict _make_linear_from_emb mkdir shared save_pretrained extract_features rename_key predict state_dict str format print BertForPreTraining save load_tf_weights_in_bert from_json_file state_dict reset_default_graph state_dict makedirs convert_pytorch_checkpoint_to_tf load join pop save makedirs load_tf_weights_in_electra ElectraForPreTraining ElectraForMaskedLM format load_tf_weights_in_gpt2 print GPT2Model save from_json_file GPT2Config state_dict print co_varnames append format list isinstance tokenizer extend dict append keys print format print format __version__ data infer_shapes format save_model model print VERSION name convert_keras predict format print dirname convert_tensorflow convert_pytorch load_graph_from_args makedirs print SessionOptions format InferenceSession from_pretrained load format LightningModel print eval save_pretrained load_state_dict state_dict startswith remove_prefix squeeze T load_state_dict convert_encoder_layer enumerate model_list HfApi shape zeros concatenate load join glob list replace remove_prefix replace join remove_prefix read replace write Path mkdir list _parse_readme readlines ls count download_and_unzip convert tqdm convert_opus_name_to_hf_name mkdir Path remove strip readlines lmap download list convert tqdm ls exists strip startswith split dict save_json split max values load_yaml add_to_vocab_ print save_tokenizer_config save_json find_vocab_file parent copyfile save_json Path encoder items check_equal unzip download remove from_pretrained str load_marian_model save_pretrained mkdir Path OpusState add_special_tokens_to_vocab save_tokenizer load_tf_weights_in_mobilebert MobileBertForPreTraining format OpenAIGPTConfig print OpenAIGPTModel save load_tf_weights_in_openai_gpt from_json_file state_dict cached_path str load format model_class hf_bucket_url from_pretrained print abs load_pytorch_checkpoint_in_tf2_model save_weights dummy_inputs tf_model numpy from_json_file amax cached_path list format remove zip print convert_pt_checkpoint_to_tf isfile keys enumerate len from_pretrained RobertaConfig num_classes zeros_like allclose print num_hidden_layers bias extract_features eval shape save_pretrained mkdir item sentence_encoder weight range load_tf_weights_in_t5 T5Model pop str join format __dict__ load_tf_weights_in_transfo_xl print TransfoXLLMHeadModel save abspath TransfoXLConfig from_json_file state_dict load items format print dict save str join format XLNetForQuestionAnswering print XLNetLMHeadModel XLNetForSequenceClassification load_tf_weights_in_xlnet abspath save from_json_file state_dict urlparse encode endswith hexdigest sha256 str join isinstance str join replace isinstance get_from_cache is_remote_url exists split is_torch_available get update format isinstance write close tqdm is_tf_available iter_content len get str join isinstance url_to_filename head exists makedirs ones put shape zeros shape_list enumerate get tuple tolist zip range append set_tensor_by_indices_to_value cumsum concat min roll argsort softmax gather max shape_list scatter_values_on_batch_indices reshape transpose concat broadcast_to shape_list expand_dims range zeros_like top_k as_list shape cumsum sort size min clone scatter softmax max expanduser load_variable join int format replace info zip print transpose fullmatch from_numpy getattr list_variables abspath append split pad_token_id shift_tokens_right size make_padding_mask invert_mask to data shape Linear squeeze unsqueeze clone eq index_select items is_available load_variable join int format info zip transpose fullmatch from_numpy any getattr list_variables abspath append split pow cos angle_defn unsqueeze sin cat sqrt softmax permute matmul detach_ FloatTensor cos sin array load_variable int format replace info isinstance endswith print transpose zip fullmatch from_numpy any getattr list_variables abspath append split load_variable int format info zip squeeze fullmatch from_numpy getattr list_variables abspath append split nonzero uint8 arange _get_question_end_index unsqueeze to load_variable join int format replace info zip transpose fullmatch from_numpy any getattr list_variables abspath append split pop int format zip cumsum fullmatch from_numpy getattr dirname info split set attn_layers int type_as abspath transpose from_numpy shape getattr list_variables append format astype info keys load_variable join pop int fullmatch float32 any split sqrt erf pow tanh sqrt pi power float32 concatenate cast float32 cast pow tanh pi join replace sub bool split load format abspath info sum state_dict base_model_prefix warning trainable_weights tf_model list discard name transpose squeeze non_trainable_weights append expand_dims format replace convert_tf_weight_name_to_pt_weight_name set dummy_inputs zip info keys batch_set_value pop numpy config format load_weights getattr dummy_inputs info tf_model tf_model_class __name__ weights base_model_prefix warning list discard name transpose squeeze from_numpy load_state_dict append expand_dims format convert_tf_weight_name_to_pt_weight_name set info keys items named_parameters dict count AlbertForPreTraining load_tf_weights_in_albert Parameter dense value asarray view transpose set_param query_key dense asarray value view transpose set_param query key set_layer_weights_in_torch_lsh dense asarray contiguous set_param attention layer_norm tensor set_layer_weights_in_torch_local Parameter asarray layers decoder isinstance reformer contiguous position_embeddings weights set_param word_embeddings layer_norm tensor set_block_weights_in_torch range enumerate len str format print ReformerModelWithLMHead set_model_weights_in_torch save from_json_file hidden_size state_dict hasattr get_config __init__ utils getattr is_tensor hasattr constant less_equal assert_equal shape_list cast tile less range count update r_r_bias hasattr tie_weight layers out_layers tie_projs emb_layers r_w_bias transformer emb_projs untie_r zip append out_projs enumerate load_variable pop items format join transpose from_numpy list_variables info keys build_tf_to_pytorch_map enumerate ones eq sum set list size len contiguous copy_ device to detach list size len contiguous copy_ device to detach isinstance Linear parameters shape tuple len size arange count update r_r_bias r_s_bias hasattr r_w_bias bias transformer untie_r seg_embed append weight layer enumerate load_variable pop items format join isinstance build_tf_xlnet_to_pytorch_map transpose from_numpy list_variables info keys enumerate AdamWeightDecay Adam WarmUp PolynomialDecay from_pretrained warning isinstance OrderedDict rstrip enumerate strip split add set append list range ord compile SentencePieceProcessor Load sub replace load join format TransfoXLCorpus save info exists category category startswith startswith category ord join category lower append normalize sub replace append category startswith replace barrier is_torch_available is_tf_available strftime Random info join recv function MemoryMeasureProcess start getpid warning send Pipe Process nvmlShutdown is_py3nvml_available is_psutil_available getpid warning settrace nvmlInit items sorted defaultdict list Memory MemoryState zip append sum endswith SUPPORTED_FORMATS from_str pipeline pipeline register_subcommand exit print_help func add_subparsers items isinstance stack Tensor tensor Counter get_tokens sum values len print max qas_id items float len sorted sum enumerate find_best_thresh_v2 sorted sum enumerate find_best_thresh make_eval_dict find_all_best_thresh apply_no_ans_threshold get_raw_scores merge_eval join _strip_spaces items BasicTokenizer len info tokenize find sorted append range enumerate len append exp strip end_logit _get_best_indexes sorted defaultdict get_final_text _NbestPrediction end_logits OrderedDict append start_logit _compute_softmax insert start_logits info convert_tokens_to_string enumerate join namedtuple text _PrelimPrediction split end_log_prob cls_logits strip sorted defaultdict hasattr do_lowercase_and_remove_accent get_final_text _NbestPrediction do_lower_case OrderedDict append range _compute_softmax info convert_tokens_to_string enumerate join namedtuple text min _PrelimPrediction start_log_prob split simple_accuracy f1_score glue_convert_examples_to_features model_input_names InputFeatures get_labels tokenizer max_len guid info append range enumerate len join tokenize range length start min enumerate min enumerate end_position convert_ids_to_tokens _improve_answer_span where warning is_impossible encode_plus cls_token_id tolist encode append range ones_like doc_tokens question_text whitespace_tokenize max_len_sentences_pair nonzero _new_check_is_max_context answer_text tokenize enumerate join pad_token_id min index max_len start_position SquadFeatures len arange size min cpu_count tqdm TensorDataset append tensor RawResult write_predictions write_predictions_extended evaluate_on_squad RawResultExtended EVAL_OPTS predict_file arange size read_squad_examples join is_whitespace whitespace_tokenize warning SquadExample append len _DocSpan _improve_answer_span is_impossible orig_answer_text length range doc_tokens question_text start _check_is_max_context namedtuple strip end_logit _get_best_indexes sorted defaultdict get_final_text _NbestPrediction end_logits OrderedDict append start_logit replace _compute_softmax insert start_logits info enumerate join namedtuple text _PrelimPrediction split end_log_prob cls_logits strip find_all_best_thresh_v2 make_qid_to_has_ans sorted defaultdict get_final_text _NbestPrediction do_lower_case OrderedDict append range _compute_softmax info convert_tokens_to_string enumerate join namedtuple text min _PrelimPrediction get_raw_scores start_log_prob split XxxForPreTraining load_tf_weights_in_xxx load_variable join int format info zip transpose fullmatch from_numpy any getattr list_variables abspath append split HfApi ne pad_token_id allclose deepcopy setattr keys append randint range append random range constant Random append step get_lr range append step get_lr range keys OrderedDict list update keys frozenset frozenset frozenset frozenset list range len print remove urlretrieve print join urlretrieve mkdir print join urlretrieve mkdir append split download_and_extract path_to_mrpc data_dir format_mrpc get_tasks tasks download_diagnostic append join walk append head | thunlp/RE-Context-or-Names | 3,879 |
thunlp/attribute_charge | ['text classification'] | ['Few-Shot Charge Prediction with Discriminative Legal Attributes'] | code/init.py code/global_config.py code/train.py code/prec_recall_counter.py code/model.py lstm_Config LSTM_MODEL | thunlp/attribute_charge | 3,880 |
thunlp/explore-and-evaluate | ['entity alignment'] | ['Exploring and Evaluating Attributes, Values, and Structures for Entity Alignment'] | util.py ensemble_subgraphs.py models.py load_data.py train_subgraph.py load_partial_sim ensemble_sims_with_svm generate_data load_sim_matrices load_bert_sim ensemble_partial_sim_matrix sim_standardization Numeral negative_sample transform_triple2seq _load_language _load_dbpedia_properties read_triples read_seeds LoadData _split_digit_attribute_and_literal_attribute BERT _load_trans construct_ent_id2info read_mapping Prefix _get_train_value_and_attribute _load_seeds ValueEmbedding _split_digit_and_literal_triple get_cache_file_path minus_mask read_file GraphConvolution AttSeq AttributedEncoder MultiLayerGCN torch_l2distance AlignLoss StruGNN grid_search cosine_similarity_nbyn_batched GNNChannel AttConf get_nearest_neighbor sort_and_keep_indices NameGCN cosine_similarity_nbyn torch_mm_batched topk print_time_info get_hits set_random_seed mean std load int astype sim_standardization put_along_axis zeros load append tqdm list asarray concatenate shuffle zip randint range len ensemble_sims_with_weight get_hits generate_data print reshape set_random_seed performance_svc append sum sim_standardization2 print_time_info svm_ensemble load_partial_sim_list partial_get_hits load asarray Path _load_seeds matrix_sample to reshape device float max parse_func print_time_info read_mapping read_triples int str shuffle set read_seeds print_time_info append decode set_language remove_prefix append set Numeral sort list is_numeral append mkdir randint range enumerate append dict zip ones zip zeros max enumerate len clamp norm append t cpu range cat view t cpu mm is_cuda torch_mm_batched append range cpu cat argsort concatenate sort cpu to numpy range append set_learning_rate save_model set_nega_sample_num set_load_new_seed_split set_channel init_log tqdm AttConf mkdir set_log_comment init set_l2_regularization print_time_info train save_sim_matrix set_epoch_num str time print strftime localtime len seed manual_seed_all manual_seed is_available print_time_info topk ndarray isinstance print from_numpy t print_time_info range len to | thunlp/explore-and-evaluate | 3,881 |
thunlp/scorp | ['semantic correspondence'] | ['Lexical Sememe Prediction using Dictionary Definitions by Capturing Local Semantic Correspondence'] | d-sepr.py scorp.py get_dataloader config build_word2sememe lstm_inference evaluate SPLSTM BiSentenceLSTM write_statistics bert_train lstm_train sp_collate_fn SPBERT build_sentence_numpy get_bert_map get_sememe_label load_data SememeEmbedding load_map_data get_dataloader build_word2sememe evaluate SPLSTM BiSentenceLSTM write_statistics lstm_train sp_collate_fn build_sentence_numpy load_data get_sememe_label SememeEmbedding load_map_data join device is_sparse write_mean_std_max_min_absmean _values grad array fill zeros tensor max array zeros max range len zeros range len zeros max enumerate len build_sentence_numpy get_bert_map get_sememe_label tensor array DataLoader load open load from_pretrained list convert_tokens_to_ids len extend tqdm append chain tokenize range open get_dataloader build_word2sememe load join str SPLSTM model print tolist tqdm dict eval load_data load_state_dict load_map_data to range len model clip_grad_norm_ zero_grad numpy save open str add_text tolist len dir Adam SPBERT load_state_dict to range state_dict get_dataloader SummaryWriter dump eval load join evaluate backward print sort add_scalar write_statistics tqdm named_parameters parameters filter dict load_data train step load_map_data model clip_grad_norm_ zero_grad numpy save open build_word2sememe str add_text SPLSTM tolist dir Adam from_numpy load_state_dict to range state_dict get_dataloader SummaryWriter dump eval load_map_data load join evaluate backward print sort add_scalar write_statistics tqdm SparseAdam parameters filter named_parameters dict load_data train step len | thunlp/scorp | 3,882 |
tianchenji/Multimodal-SVAE | ['anomaly detection'] | ['Multi-Modal Anomaly Detection for Unstructured and Uncertain Environments'] | train.py utils/print_statistics.py test.py utils/loss_fn.py custom_dataset.py models/blocks/Encoder.py models/blocks/Decoder.py models/blocks/MLP.py models/SVAE.py TerraDataset main main SVAE Decoder Encoder MLP loss_fn_generative loss_fn_discriminative loss_fn_SVAE print_statistics seed load print SVAE DataLoader load_state_dict manual_seed TerraDataset zero_grad save device step Adam to range cat state_dict format loss_fn_SVAE is_available item enumerate backward parameters svae epochs len exp view pow sum mse_loss cross_entropy exp view pow sum mse_loss cross_entropy format print dot round trace float sum array | tianchenji/Multimodal-SVAE | 3,883 |
tianhai123/3D-ResNets | ['action recognition'] | ['Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?'] | utils/eval_ucf101.py utils/video_jpg.py opts.py models/resnext.py train.py datasets/hmdb51.py dataset.py models/wide_resnet.py models/densenet.py utils/ucf101_json.py utils.py utils/eval_kinetics.py datasets/activitynet.py models/pre_act_resnet.py temporal_transforms.py test.py utils/kinetics_json.py datasets/ucf101.py utils/eval_hmdb51.py utils/hmdb51_json.py mean.py utils/n_frames_ucf101_hmdb51.py datasets/kinetics.py main.py target_transforms.py model.py utils/n_frames_kinetics.py utils/video_jpg_ucf101_hmdb51.py utils/fps.py validation.py spatial_transforms.py models/resnet.py utils/video_jpg_kinetics.py get_training_set get_test_set get_validation_set get_std get_mean generate_model parse_opts MultiScaleCornerCrop CenterCrop MultiScaleRandomCrop ToTensor Compose Scale Normalize RandomHorizontalFlip CornerCrop ClassLabel VideoID Compose TemporalBeginCrop LoopPadding TemporalCenterCrop TemporalRandomCrop calculate_video_results test calculate_accuracy AverageMeter Logger load_value_file modify_frame_indices get_class_labels load_annotation_data video_loader get_end_t make_dataset ActivityNet accimage_loader get_default_image_loader get_default_video_loader make_untrimmed_dataset pil_loader get_video_names_and_annotations get_class_labels load_annotation_data video_loader make_dataset accimage_loader HMDB51 get_default_image_loader get_default_video_loader pil_loader get_video_names_and_annotations get_class_labels load_annotation_data video_loader make_dataset accimage_loader Kinetics get_default_image_loader get_default_video_loader pil_loader get_video_names_and_annotations UCF101 get_class_labels load_annotation_data video_loader make_dataset accimage_loader get_default_image_loader get_default_video_loader pil_loader get_video_names_and_annotations get_fine_tuning_parameters DenseNet densenet201 densenet169 densenet264 _DenseLayer _DenseBlock _Transition densenet121 conv3x3x3 get_fine_tuning_parameters resnet50 downsample_basic_block resnet152 PreActivationBasicBlock resnet34 resnet200 PreActivationBottleneck resnet18 PreActivationResNet resnet101 conv3x3x3 get_fine_tuning_parameters ResNet downsample_basic_block resnet50 Bottleneck resnet152 resnet34 resnet200 resnet18 resnet10 BasicBlock resnet101 ResNeXtBottleneck conv3x3x3 get_fine_tuning_parameters resnet50 downsample_basic_block ResNeXt resnet152 resnet101 conv3x3x3 get_fine_tuning_parameters WideBottleneck resnet50 downsample_basic_block WideResNet HMDBclassification compute_video_hit_at_k get_blocked_videos KINETICSclassification compute_video_hit_at_k UCFclassification compute_video_hit_at_k convert_hmdb51_csv_to_activitynet_json get_labels convert_csv_to_dict load_labels convert_kinetics_csv_to_activitynet_json convert_csv_to_dict class_process class_process load_labels convert_ucf101_csv_to_activitynet_json convert_csv_to_dict class_process class_process video_path UCF101 ActivityNet Kinetics annotation_path HMDB51 video_path UCF101 n_val_samples ActivityNet Kinetics annotation_path HMDB51 video_path UCF101 ActivityNet Kinetics annotation_path HMDB51 get_fine_tuning_parameters in_features densenet264 DataParallel ft_begin_index resnet34 resnet152 cuda load_state_dict resnet200 resnet101 resnet18 format resnet50 resnet10 n_finetune_classes Linear load densenet169 densenet201 print pretrain_path densenet121 parse_args set_defaults add_argument ArgumentParser topk size mean stack append range update time format model print Variable cpu AverageMeter size eval softmax calculate_video_results append range enumerate len topk view size t eq join format image_loader append exists get_default_image_loader append enumerate append items list format append join format items list format join get_class_labels deepcopy load_annotation_data print modify_frame_indices len load_value_file ceil max range append get_video_names_and_annotations sort listdir items list format join get_class_labels deepcopy load_annotation_data print modify_frame_indices len load_value_file get_end_t ceil max range append get_video_names_and_annotations int min DenseNet DenseNet DenseNet DenseNet append format range named_parameters data isinstance FloatTensor Variable zero_ avg_pool3d cuda cat PreActivationResNet PreActivationResNet PreActivationResNet PreActivationResNet PreActivationResNet PreActivationResNet ResNet ResNet ResNet ResNet ResNet ResNet ResNet ResNeXt ResNeXt ResNeXt WideResNet reset_index size tolist mean unique zeros values enumerate Request urlopen format ceil join read_csv append listdir range len append join listdir update get_labels convert_csv_to_dict read_csv update load_labels convert_csv_to_dict join int print sort append listdir split append range update load_labels convert_csv_to_dict format call mkdir splitext exists | tianhai123/3D-ResNets | 3,884 |
tianlinxu312/cot-gan | ['time series'] | ['COT-GAN: Generating Sequential Data via Causal Optimal Transport'] | data_utils.py gan_utils.py gan.py video_train.py toy_train.py SineImage display_images Gaussian NPData display_frames check_model_summary EEGData AROne plot_batch DataProcessor SimpleGenerator ToyGenerator VideoDCD VideoDCG ToyDiscriminator cost_xy benchmark_sinkhorn modified_cost compute_mixed_benchmark_loss original_sinkhorn_loss compute_N scale_invariante_martingale_regularization compute_mixed_sinkhorn_loss compute_sinkhorn train train minimum format close title lineplot savefig range len format subplots reshape set_yticks close imshow set_xticks savefig range format subplots reshape set_yticks close imshow set_xticks savefig range print call Model summary Input expand_dims reduce_sum cost_xy reduce_sum exp cost_xy ones squeeze transpose float32 reduce_sum range lse cast abs log M exp reduce_logsumexp modified_cost ones transpose reduce_sum range expand_dims abs log reduce_std float32 reduce_sum shape cast abs reshape compute_sinkhorn benchmark_sinkhorn benchmark_sinkhorn g_filter_size batch_size Dy sinkhorn_eps linspace AROne Uniform dname nlstm bn round seed set_seed g_state_size ValueError Adam strftime z_dims_t log10 EEGData SineImage format test lr d_state_size ToyDiscriminator int SimpleGenerator time ToyGenerator print d_filter_size sinkhorn_l reg_penalty bool time_steps create_file_writer makedirs Normal ExponentialDecay VideoDCD save_freq n_lstm n_channels VideoDCG provide_video_data DataProcessor batch_norm glob path projector y_dims | tianlinxu312/cot-gan | 3,885 |
tigereatsheep/LSKfeatures | ['pedestrian detection'] | ['Linear Support Tensor Machine: Pedestrian Detection in Thermal Infrared Images'] | get_lsk.py lark gradient gen_gaussian get_lsk cov_matrix edge_mirror cov_matrix gradient lark convolve2d rot90 array exp floor shape floor concatenate rot90 atan zeros_like abs multiply cos gen_gaussian convolve2d sqrt shape sin edge_mirror sum range int exp shape zeros edge_mirror sum range | tigereatsheep/LSKfeatures | 3,886 |
tim885/P2ORM | ['monocular depth estimation'] | ['Pixel-Pair Occlusion Relationship Map(P2ORM): Formulation, Inference & Application'] | DepthRefine/refine_nyu.py DetectOcclusion/detect_occ/utils/config.py DetectOcclusion/detect_occ/utils/visualizer.py DetectOcclusion/models/myResUnet.py DepthRefine/lib/utils/net_utils.py DepthRefine/train.py DepthRefine/lib/datasets/ibims.py DepthRefine/lib/models/basic_modules.py DetectOcclusion/lib/dataset/numpy_utils.py DetectOcclusion/lib/dataset/occ_dataset.py DetectOcclusion/lib/dataset/image_utils.py DepthRefine/lib/models/unet.py DepthRefine/eval_nyu.py DepthRefine/lib/datasets/interior_net.py DetectOcclusion/detect_occ/utils/compute_loss.py DetectOcclusion/detect_occ/train_val.py DetectOcclusion/models/__init__.py DetectOcclusion/detect_occ/utils/custom_transforms.py DetectOcclusion/lib/dataset/gen_label_methods.py DetectOcclusion/detect_occ/utils/metrics.py DetectOcclusion/utils/gen_InteriornetOR_label.py DepthRefine/lib/utils/data_utils.py DetectOcclusion/lib/dataset/setup_cython.py DetectOcclusion/models/resnet.py DetectOcclusion/detect_occ/utils/utility.py DepthRefine/lib/utils/evaluate_ibims_error_metrics.py DepthRefine/refine_ibims.py DetectOcclusion/lib/logger/print_and_log.py DetectOcclusion/models/utils.py DetectOcclusion/lib/logger/create_logger.py compute_depth_boundary_error load_datasets init_device compute_errors eval_depth_and_boundaries load_boundaries test train Ibims InteriorNet ChannelAttention RefineResidual AttentionRefinement FeatureFusion SELayer ConvBnLeakyRelu ConvBnRelu BNRefine SeparableConvBnRelu SeparableConvBnLeakyRelu GlobalAvgPool2d SeparableRefineResidual UNet padding_array read_jiao read_bts read_sharpnet read_eigen read_vnl read_laina read_dorn compute_distance_related_errors compute_depth_boundary_error compute_global_errors compute_planarity_error compute_directed_depth_error compute_tangent_adjusted_depth berhu_loss load_checkpoint neighbor_depth_variation create_gamma_matrix neighbor_depth_variation_tangent save_checkpoint huber_loss occlusion_aware_loss spatial_gradient_loss kaiming_init weights_normal_init main parse_args train_epoch val_epoch cal_loss AttentionLoss SmoothL1Loss get_criterion FocalLoss AL_and_L1 CCELoss update_config get_data_transforms OrderRandomHorizontalFlip ToTensor resize_to_origin resize_imgs RandomGaussianBlur RandomCrop OriRandomHorizontalFlip FixCrop Normalize tensor2im PixLabelEvaluator MetricsEvaluator init_weights save_checkpoint kaiming_init AverageMeter save_res_matlab MATLAB plot_val_metrics check_occ_order_pred plot_conf_mat viz_and_save viz_and_log plot_train_metrics occ_fg_to_order insect_line_plane_3d_batch gen_occ_order order_prob_to_edge_prob order4_to_order_pixwise edge_nms nms_edge_order_ori depth_to_edge order8_to_order_pixwise cos_between_vects label_rotate nms_occ_order label_flip viz_occ_order occ_order_connect8_to_ori order_prob_to_edge_prob_argmax viz_delta_depth depth_point2plane conv_tri cos_between_vects_batch occ_order_connect4_to_occ_ori occ_order_to_edge insect_line_plane_3d angle_between_vects order8_to_order_pixwise_np occ_order_pred_to_ori occ_order_pred_to_edge_prob unit_vector center_to_gt paste_with_mask change_background paste_mat_with_mask resize_padding square_crop StaticRandomCrop StaticCenterCrop get_net_loadsz ImgToOccDataset create_logger print_and_log myResUnet ResUnetModel DoubleConvBlock OutputBlock UnetUpBlock ResBottleneck conv1x1 resnext50_32x4d ResNet resnet50 resnext101_32x8d Bottleneck resnet152 conv3x3 _resnet resnet34 resnet18 BasicBlock resnet101 gen_occ_image_set gen_occ_labels str print device is_available current_device get_device_name load join sorted transpose File tqdm dict append loadmat array maximum log mean sqrt log10 abs clip int list sort strip readlines set array append imread keys find nanmax nanmin distance_transform_edt astype nansum nan canny stdout compute_depth_boundary_error list print compute_errors tqdm keys resize append zeros array range flush len zeros eval float32 len time format berhu_loss alpha_occ backward print zero_grad th occlusion_aware_loss item spatial_gradient_loss step net enumerate len join format append loadmat array range transpose array join transpose resize append loadmat array join strip readlines append loadmat array int join list collect rfind sort strip readlines dict array append imread keys load join array open zeros permute compute_global_errors logical_and float32 zeros range maximum mean sqrt log10 abs clip float sum len nanmedian pi flatten list meshgrid append range astype copy mean stack nan empty T norm PCA atan2 dot cross std fit isinstance Conv2d normal_ modules Linear isinstance fill_ Conv2d bias normal_ kaiming_normal_ modules BatchNorm1d BatchNorm2d weight constant_ Linear print format save load update format print load_state_dict state_dict list product zeros atan range abs log where abs max log where type_as mean pow conv2d huber_loss as_tensor log norm compute_tangent_adjusted_depth norm tan berhu_loss neighbor_depth_variation min type_as where neighbor_depth_variation_tangent float cat config add_argument parse_known_args ArgumentParser update_config config val_step SGD root_path create_logger MultiStepLR DataParallel DataLoader print_and_log save_checkpoint image_set arch cuda max val_image_set str list get_data_transforms end_epoch set_device len Adam strftime load_state_dict append plot_train_metrics sum range train_image_set SummaryWriter format replace begin_epoch close test_image_set plot_val_metrics gmtime lr resume ImgToOccDataset info isfile save_every_epoch float optimizer load join val_epoch deterministic evaluate add_scalar print system train_epoch tqdm parameters get_criterion out_dir zeros step output_path makedirs MetricsEvaluator model zero_grad print_and_log cuda len mF1_all update format size item enumerate cal_set_metrics time backward AverageMeter cal_loss viz_and_log mIoU_all cal_batch_metrics train step add_scalar cal_set_metrics format MetricsEvaluator AverageMeter eval avg mIoU_all mF1_all print_and_log len tensor AL_and_L1 CCELoss class_weights criterion color_jittering norm_image Compose flip int clip view LANCZOS resize transpose range shape unsqueeze array img_padding tensor numpy tensor2im zeros transpose numpy NEAREST LANCZOS squeeze resize array enumerate join system copyfile print apply len float sum add_scalar len float sum add_scalar topk view clamp connectivity unsqueeze occ_order_pred_to_edge_prob cpu float add_image test_dataset connectivity order4_to_order_pixwise nms_edge_order_ori order8_to_order_pixwise save nms_occ_order savez_compressed save_res_matlab topk view transpose MATLAB val_w_mat_gt format replace occ_thresh astype stack join clamp float32 order8_to_order_pixwise_np occ_order_pred_to_ori occ_order_pred_to_edge_prob cpu array makedirs join format set_title matshow add_subplot savefig figure ones reshape shape cpu array out_pred_dir join list basename format replace items loadmat astype float32 savemat zeros org_gt_dir range gt_type out_gt_dir insect_line_plane_3d_batch delete flatten max tan copyMakeBorder shape sum range arccos astype copy mean stack enumerate minimum int BORDER_REPLICATE norm reshape float32 maximum any zeros array BORDER_REPLICATE copyMakeBorder astype delete copy flatten shape int32 zeros range clip astype float32 arctan2 pad_h clamp pad_w ConstantPad2d atan2 unsqueeze float shape uniform_filter any zeros sum fromarray FLIP_LEFT_RIGHT transpose array range int rot90 copy dot reshape copy repeat sum array reshape sum unit_vector list tan product copy shape sqrt atan range order_prob_to_edge_prob unsqueeze softmax cat nonocc_pad_E nonocc_pad_SE ConstantPad2d nonocc_pad_S unsqueeze nonocc_pad_NE nonocc_pad_E nonocc_pad_SE ConstantPad2d min shape nonocc_pad_S unsqueeze nonocc_pad_NE zeros topk clamp ConstantPad2d pad_SE atan2 pad_NE pad_S pad_E float clamp squeeze astype int8 shape zeros squeeze astype int8 shape zeros shape zeros astype int8 copy edge_nms stack order_prob_to_edge_prob copy edge_nms shape unsqueeze zeros range arctan2 conv_tri gradient sign non_maximum_supr int list asarray range replace add_subplot close subplots_adjust shape imshow savefig figure array add_subplot close subplots_adjust shape imshow savefig figure array clip BORDER_REPLICATE copyMakeBorder astype zeros abs range fromarray uint8 copy paste fromarray uint8 copy blend paste ANTIALIAS size min astype new paste resize array fromarray max new crop paste getbbox array max crop array list point tuple size convert len merge mode range split config join format basicConfig getLogger print system strftime setLevel INFO makedirs print info print ResUnetModel load_state_dict apply ResNet load_state_dict load_state_dict_from_url imwrite gen_occ_order savez_compressed viz_occ_order sorted occ_order_connect8_to_ori IMREAD_COLOR imread imsave format inf astype occ_order_to_edge IMREAD_UNCHANGED enumerate int join uint8 print sort min float32 tqdm zeros makedirs join sorted format int list items print len exit __len__ set sample makedirs | tim885/P2ORM | 3,887 |
timka357/ML_Game | ['unity'] | ['Unity: A General Platform for Intelligent Agents'] | ml-agents-envs/mlagents/envs/communicator_objects/unity_rl_input_pb2.py ml-agents-envs/mlagents/envs/communicator_objects/unity_to_external_pb2.py gym-unity/gym_unity/envs/__init__.py ml-agents/mlagents/trainers/learn.py ml-agents-envs/mlagents/envs/communicator_objects/custom_observation_pb2.py ml-agents/mlagents/trainers/meta_curriculum.py ml-agents/mlagents/trainers/tests/test_barracuda_converter.py ml-agents/mlagents/trainers/ppo/models.py ml-agents/mlagents/envs/communicator_objects/unity_output_pb2.py gym-unity/gym_unity/__init__.py ml-agents/mlagents/trainers/trainer_controller.py ml-agents/mlagents/trainers/tests/test_curriculum.py ml-agents/mlagents/trainers/action_info.py ml-agents-envs/mlagents/envs/communicator.py ml-agents-envs/mlagents/envs/communicator_objects/custom_reset_parameters_pb2.py ml-agents/mlagents/trainers/tests/test_ppo.py ml-agents/mlagents/envs/brain.py ml-agents-envs/mlagents/envs/tests/test_rpc_communicator.py ml-agents/mlagents/envs/communicator_objects/unity_message_pb2.py ml-agents-envs/setup.py ml-agents-envs/mlagents/envs/rpc_communicator.py ml-agents/tests/trainers/test_buffer.py ml-agents/mlagents/trainers/tests/test_trainer_controller.py ml-agents/setup.py ml-agents/mlagents/envs/communicator_objects/unity_rl_output_pb2.py gym-unity/tests/test_gym.py ml-agents/mlagents/trainers/barracuda.py ml-agents-envs/mlagents/envs/tests/test_envs.py ml-agents/mlagents/trainers/ppo/trainer.py ml-agents-envs/mlagents/envs/communicator_objects/unity_rl_output_pb2.py ml-agents-envs/mlagents/envs/communicator_objects/unity_rl_initialization_output_pb2.py ml-agents/mlagents/envs/communicator_objects/environment_parameters_proto_pb2.py ml-agents/tests/trainers/test_trainer_controller.py ml-agents/mlagents/envs/communicator_objects/unity_rl_initialization_input_pb2.py ml-agents/mlagents/envs/communicator_objects/brain_parameters_proto_pb2.py ml-agents-envs/mlagents/envs/communicator_objects/unity_input_pb2.py ml-agents/mlagents/trainers/tests/test_meta_curriculum.py ml-agents/mlagents/trainers/bc/trainer.py ml-agents/mlagents/envs/communicator_objects/unity_rl_initialization_output_pb2.py ml-agents/mlagents/trainers/curriculum.py ml-agents-envs/mlagents/envs/communicator_objects/agent_action_proto_pb2.py ml-agents/mlagents/trainers/tests/test_policy.py ml-agents/mlagents/trainers/ppo/policy.py ml-agents/mlagents/envs/communicator_objects/engine_configuration_proto_pb2.py ml-agents-envs/mlagents/envs/communicator_objects/space_type_proto_pb2.py ml-agents/mlagents/trainers/tests/test_learn.py ml-agents-envs/mlagents/envs/communicator_objects/brain_parameters_proto_pb2.py ml-agents/tests/trainers/test_ppo.py ml-agents/mlagents/trainers/tests/test_demo_loader.py ml-agents/mlagents/trainers/models.py ml-agents/mlagents/trainers/__init__.py ml-agents-envs/mlagents/envs/communicator_objects/agent_info_proto_pb2.py ml-agents-envs/mlagents/envs/communicator_objects/environment_parameters_proto_pb2.py ml-agents/mlagents/envs/communicator.py ml-agents/tests/envs/test_rpc_communicator.py ml-agents-envs/mlagents/envs/tests/test_subprocess_unity_environment.py ml-agents/mlagents/envs/exception.py ml-agents/mlagents/trainers/exception.py gym-unity/gym_unity/tests/test_gym.py ml-agents/mlagents/trainers/buffer.py ml-agents/mlagents/trainers/bc/online_trainer.py ml-agents-envs/mlagents/envs/communicator_objects/engine_configuration_proto_pb2.py ml-agents/mlagents/envs/rpc_communicator.py ml-agents/mlagents/trainers/ppo/__init__.py ml-agents/mlagents/trainers/tensorflow_to_barracuda.py ml-agents-envs/mlagents/envs/communicator_objects/unity_to_external_pb2_grpc.py ml-agents/mlagents/trainers/policy.py ml-agents-envs/mlagents/envs/mock_communicator.py gym-unity/setup.py ml-agents/mlagents/envs/communicator_objects/agent_info_proto_pb2.py ml-agents-envs/mlagents/envs/communicator_objects/unity_message_pb2.py ml-agents-envs/mlagents/envs/environment.py ml-agents-envs/mlagents/envs/communicator_objects/custom_action_pb2.py ml-agents/mlagents/trainers/bc/policy.py ml-agents/tests/trainers/test_bc.py ml-agents/mlagents/envs/communicator_objects/demonstration_meta_proto_pb2.py ml-agents-envs/mlagents/envs/base_unity_environment.py ml-agents/mlagents/envs/__init__.py ml-agents/mlagents/trainers/bc/__init__.py ml-agents-envs/mlagents/envs/communicator_objects/unity_output_pb2.py ml-agents/tests/envs/test_envs.py ml-agents/mlagents/envs/communicator_objects/__init__.py ml-agents-envs/mlagents/envs/exception.py ml-agents/mlagents/envs/communicator_objects/agent_action_proto_pb2.py gym-unity/gym_unity/envs/unity_env.py ml-agents-envs/mlagents/envs/communicator_objects/header_pb2.py ml-agents/tests/trainers/test_curriculum.py ml-agents/mlagents/envs/communicator_objects/space_type_proto_pb2.py ml-agents/tests/trainers/test_demo_loader.py ml-agents/mlagents/envs/communicator_objects/unity_input_pb2.py ml-agents-envs/mlagents/envs/brain.py ml-agents/mlagents/envs/socket_communicator.py ml-agents-envs/mlagents/envs/communicator_objects/demonstration_meta_proto_pb2.py ml-agents-envs/mlagents/envs/communicator_objects/resolution_proto_pb2.py ml-agents/mlagents/envs/communicator_objects/unity_to_external_pb2_grpc.py ml-agents-envs/mlagents/envs/subprocess_environment.py ml-agents-envs/mlagents/envs/communicator_objects/__init__.py ml-agents/mlagents/trainers/demo_loader.py ml-agents/tests/mock_communicator.py ml-agents-envs/mlagents/envs/__init__.py ml-agents/mlagents/envs/communicator_objects/resolution_proto_pb2.py ml-agents/mlagents/envs/communicator_objects/unity_to_external_pb2.py ml-agents/mlagents/trainers/tests/test_trainer_metrics.py ml-agents/mlagents/envs/communicator_objects/unity_rl_input_pb2.py ml-agents/mlagents/trainers/tests/test_buffer.py ml-agents-envs/mlagents/envs/communicator_objects/command_proto_pb2.py ml-agents/mlagents/trainers/trainer.py ml-agents-envs/mlagents/envs/socket_communicator.py ml-agents/mlagents/trainers/bc/models.py ml-agents/mlagents/envs/environment.py ml-agents/mlagents/envs/communicator_objects/command_proto_pb2.py ml-agents/mlagents/trainers/bc/offline_trainer.py ml-agents/mlagents/trainers/tests/test_bc.py ml-agents/tests/trainers/test_meta_curriculum.py ml-agents-envs/mlagents/envs/communicator_objects/unity_rl_initialization_input_pb2.py ml-agents/mlagents/envs/communicator_objects/header_pb2.py ml-agents/mlagents/trainers/trainer_metrics.py UnityGymException ActionFlattener UnityEnv create_mock_vector_braininfo test_gym_wrapper test_multi_agent test_branched_flatten setup_mock_unityenvironment create_mock_brainparams test_gym_wrapper test_multi_agent BrainInfo BrainParameters Communicator UnityEnvironment UnityWorkerInUseException UnityException UnityTimeOutException UnityEnvironmentException UnityActionException RpcCommunicator UnityToExternalServicerImplementation SocketCommunicator UnityToExternalServicer UnityToExternalStub add_UnityToExternalServicer_to_server 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 CurriculumError MetaCurriculumError TrainerError create_environment_factory run_training prepare_for_docker_run try_create_meta_curriculum main load_config MetaCurriculum LearningModel Policy UnityPolicyException 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 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 MockCommunicator 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 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 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 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_initialization test_initialize_trainers dummy_offline_bc_config test_initialize_offline_trainers dummy_bad_config dummy_config test_load_config dummy_online_bc_config 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 MockCommunicator MockCommunicator method_handlers_generic_handler add_generic_rpc_handlers 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 start_learning int str format create_environment_factory 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 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 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 dummy_config dummy_config TrainerController extend copy external_brains global_done payload reset _send_response reset_parameters env_factory step | timka357/ML_Game | 3,888 |
timothyn617/watershed-transform | ['template matching', 'instance segmentation', 'semantic segmentation'] | ['Deep Watershed Transform for Instance Segmentation'] | cmd_args.py train.py unet/__init__.py unet/unet_model.py unet/unet_parts.py dataset.py __init__.py validate.py main.py Args get_train_dataset get_classifier_val_dataset DistanceDataset dist_to_watershed get_test_dataloader get_test_dataset get_discretized_distance_mask get_dataloaders get_centers get_classifier_dataloaders get_classifier_train_dataset get_val_dataset ClassifierDataset _maybe_unpack_files summary_checkpoint viz_format AverageMeter Trainer setup_save get_save_dir adjust_learning_rate evaluate_classifier evaluate_watershed watershed_to_num_lenses UNet outconv up double_conv down inconv get_train_dataset DataLoader get_val_dataset get_classifier_train_dataset DataLoader get_classifier_val_dataset get_test_dataset DataLoader range copy len list zip list astype array int32 zip dist_to_watershed get_centers flip exists param_groups learning_rate lr_decay_step tensor max basename state_dict glob getcwd copy save save_dir makedirs label astype max model UNet save argmax cuda DataFrame fromarray watershed_to_num_lenses load_state_dict dirname append range astype get_test_dataloader eval enumerate load uint8 print to_csv get_dataloaders cpu numpy makedirs load zip model print DataFrame to_csv get_test_dataloader asscalar eval numpy load_state_dict get_classifier_dataloaders dirname cpu argmax cuda append enumerate | timothyn617/watershed-transform | 3,889 |
timotimosky/Unity_ML_Agent_DJL | ['unity'] | ['Unity: A General Platform for Intelligent Agents'] | ml-agents-envs/mlagents/envs/communicator_objects/unity_rl_input_pb2.py ml-agents/mlagents/trainers/components/reward_signals/curiosity/model.py ml-agents-envs/mlagents/envs/communicator_objects/unity_to_external_pb2.py gym-unity/gym_unity/envs/__init__.py ml-agents/mlagents/trainers/learn.py ml-agents-envs/mlagents/envs/communicator_objects/custom_observation_pb2.py ml-agents/mlagents/trainers/meta_curriculum.py ml-agents/mlagents/trainers/tests/test_barracuda_converter.py ml-agents/mlagents/trainers/ppo/models.py utils/validate_meta_files.py ml-agents/mlagents/trainers/trainer_controller.py ml-agents/mlagents/trainers/components/bc/model.py ml-agents/mlagents/trainers/tests/test_curriculum.py ml-agents-envs/mlagents/envs/communicator.py ml-agents-envs/mlagents/envs/communicator_objects/custom_reset_parameters_pb2.py ml-agents/mlagents/trainers/tests/test_ppo.py ml-agents-envs/mlagents/envs/tests/test_rpc_communicator.py ml-agents/mlagents/trainers/components/reward_signals/__init__.py ml-agents-envs/setup.py ml-agents/mlagents/trainers/tests/mock_brain.py ml-agents-envs/mlagents/envs/action_info.py ml-agents-envs/mlagents/envs/rpc_communicator.py ml-agents/mlagents/trainers/tests/test_bcmodule.py ml-agents/mlagents/trainers/tests/test_trainer_controller.py ml-agents/mlagents/trainers/components/reward_signals/reward_signal_factory.py ml-agents/setup.py ml-agents/mlagents/trainers/barracuda.py ml-agents-envs/mlagents/envs/tests/test_envs.py ml-agents/mlagents/trainers/sac/policy.py ml-agents-envs/mlagents/envs/env_manager.py ml-agents/mlagents/trainers/ppo/trainer.py ml-agents-envs/mlagents/envs/tests/test_timers.py ml-agents-envs/mlagents/envs/communicator_objects/unity_rl_output_pb2.py ml-agents-envs/mlagents/envs/communicator_objects/unity_rl_initialization_output_pb2.py ml-agents-envs/mlagents/envs/communicator_objects/unity_input_pb2.py ml-agents/mlagents/trainers/tests/test_meta_curriculum.py ml-agents/mlagents/trainers/components/reward_signals/curiosity/signal.py ml-agents-envs/mlagents/envs/subprocess_env_manager.py ml-agents/mlagents/trainers/bc/trainer.py ml-agents-envs/mlagents/envs/communicator_objects/agent_action_proto_pb2.py ml-agents/mlagents/trainers/curriculum.py ml-agents/mlagents/trainers/tests/test_policy.py ml-agents/mlagents/trainers/ppo/policy.py ml-agents-envs/mlagents/envs/communicator_objects/space_type_proto_pb2.py ml-agents/mlagents/trainers/tests/test_learn.py ml-agents-envs/mlagents/envs/communicator_objects/brain_parameters_proto_pb2.py ml-agents/mlagents/trainers/tests/test_demo_loader.py ml-agents/mlagents/trainers/models.py ml-agents-envs/mlagents/envs/communicator_objects/agent_info_proto_pb2.py ml-agents-envs/mlagents/envs/communicator_objects/environment_parameters_proto_pb2.py ml-agents/mlagents/trainers/tests/test_simple_rl.py ml-agents-envs/mlagents/envs/policy.py ml-agents/mlagents/trainers/exception.py gym-unity/gym_unity/tests/test_gym.py ml-agents/mlagents/trainers/buffer.py ml-agents/mlagents/trainers/bc/online_trainer.py ml-agents-envs/mlagents/envs/communicator_objects/engine_configuration_proto_pb2.py ml-agents/mlagents/trainers/tensorflow_to_barracuda.py ml-agents-envs/mlagents/envs/communicator_objects/unity_to_external_pb2_grpc.py ml-agents-envs/mlagents/envs/mock_communicator.py ml-agents/mlagents/trainers/tests/test_rl_trainer.py ml-agents-envs/mlagents/envs/timers.py gym-unity/setup.py ml-agents-envs/mlagents/envs/communicator_objects/unity_message_pb2.py ml-agents-envs/mlagents/envs/environment.py ml-agents-envs/mlagents/envs/communicator_objects/custom_action_pb2.py ml-agents/mlagents/trainers/bc/policy.py ml-agents-envs/mlagents/envs/simple_env_manager.py ml-agents-envs/mlagents/envs/base_unity_environment.py ml-agents/mlagents/trainers/trainer_util.py ml-agents/mlagents/trainers/tests/test_trainer_util.py ml-agents-envs/mlagents/envs/communicator_objects/unity_output_pb2.py ml-agents/mlagents/trainers/components/reward_signals/extrinsic/signal.py ml-agents/mlagents/trainers/sac/trainer.py ml-agents-envs/mlagents/envs/sampler_class.py ml-agents/mlagents/trainers/tests/test_sac.py ml-agents-envs/mlagents/envs/exception.py ml-agents/mlagents/trainers/sac/models.py ml-agents/mlagents/trainers/components/reward_signals/gail/model.py ml-agents-envs/mlagents/envs/communicator_objects/header_pb2.py ml-agents/mlagents/trainers/rl_trainer.py ml-agents/mlagents/trainers/tests/test_reward_signals.py ml-agents-envs/mlagents/envs/brain.py ml-agents/mlagents/trainers/components/reward_signals/gail/signal.py ml-agents/mlagents/trainers/ppo/multi_gpu_policy.py ml-agents/mlagents/trainers/tests/test_multigpu.py ml-agents-envs/mlagents/envs/communicator_objects/demonstration_meta_proto_pb2.py ml-agents-envs/mlagents/envs/communicator_objects/resolution_proto_pb2.py ml-agents/mlagents/trainers/demo_loader.py ml-agents/mlagents/trainers/components/bc/module.py ml-agents/mlagents/trainers/tests/test_trainer_metrics.py ml-agents-envs/mlagents/envs/tests/test_sampler_class.py ml-agents/mlagents/trainers/tests/test_buffer.py ml-agents-envs/mlagents/envs/communicator_objects/command_proto_pb2.py ml-agents/mlagents/trainers/trainer.py ml-agents-envs/mlagents/envs/socket_communicator.py ml-agents-envs/mlagents/envs/tests/test_subprocess_env_manager.py ml-agents/mlagents/trainers/bc/models.py ml-agents/mlagents/trainers/bc/offline_trainer.py ml-agents/mlagents/trainers/tf_policy.py ml-agents/mlagents/trainers/tests/test_bc.py ml-agents-envs/mlagents/envs/communicator_objects/unity_rl_initialization_input_pb2.py ml-agents/mlagents/trainers/trainer_metrics.py UnityGymException ActionFlattener UnityEnv create_mock_vector_braininfo test_gym_wrapper test_multi_agent test_branched_flatten setup_mock_unityenvironment create_mock_brainparams BarracudaWriter fuse print_known_operations compress Build sort lstm write fuse_batchnorm_weights trim mean gru Model summary Struct parse_args to_json rnn BufferException Buffer Curriculum make_demo_buffer load_demonstration demo_to_buffer CurriculumError MetaCurriculumError TrainerError CurriculumLoadingError CurriculumConfigError create_environment_factory CommandLineOptions create_sampler_manager parse_command_line run_training prepare_for_docker_run try_create_meta_curriculum main MetaCurriculum EncoderType LearningModel LearningRateSchedule AllRewardsOutput RLTrainer get_layer_shape pool_to_HW flatten sqr_diff process_layer process_model get_layer_rank slow_but_stable_topological_sort get_attr basic_lstm ModelBuilderContext order_by get_epsilon get_tensor_dtype replace_strings_in_list debug embody by_op get_tensor_dims strided_slice remove_duplicates_from_list axis_to_barracuda by_name locate_actual_output_node convert strides_to_HW get_tensor_data very_slow_but_stable_topological_sort gru TFPolicy UnityPolicyException UnityTrainerException Trainer TrainerController TrainerMetrics _load_config load_config initialize_trainers BehavioralCloningModel OfflineBCTrainer OnlineBCTrainer BCPolicy BCTrainer BCModel BCModule create_reward_signal RewardSignal CuriosityModel CuriosityRewardSignal ExtrinsicRewardSignal GAILModel GAILRewardSignal PPOModel get_devices MultiGpuPPOPolicy PPOPolicy PPOTrainer get_gae discount_rewards SACPolicyNetwork SACTargetNetwork SACNetwork SACModel SACPolicy SACTrainer create_mock_pushblock_brain create_buffer simulate_rollout create_mock_3dball_brain create_mock_banana_brain setup_mock_unityenvironment create_mock_braininfo create_mock_brainparams setup_mock_env_and_brains test_barracuda_converter test_bc_export bc_dummy_config test_bc_trainer_step test_bc_trainer_add_proc_experiences test_cc_bc_model test_dc_bc_model test_visual_cc_bc_model test_bc_trainer_end_episode test_bc_policy_evaluate dummy_config test_visual_dc_bc_model create_bc_trainer sac_dummy_config test_bcmodule_rnn_update test_bcmodule_update ppo_dummy_config create_policy_with_bc_mock test_bcmodule_dc_visual_update test_bcmodule_defaults test_bcmodule_rnn_dc_update test_buffer_sample construct_fake_buffer assert_array fakerandint test_buffer test_buffer_truncate test_curriculum_load_invalid_json location default_reset_parameters test_init_curriculum_bad_curriculum_raises_error test_curriculum_load_missing_file test_init_curriculum_happy_path test_increment_lesson test_curriculum_load_good test_get_config test_load_demo test_load_demo_dir basic_options test_docker_target_path test_run_training test_env_args test_commandline_args 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 test_create_model dummy_config test_average_gradients test_update 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_trainer_increment_step test_trainer_update_policy test_rl_functions test_ppo_model_dc_vector_rnn test_ppo_model_cc_vector_rnn test_add_rewards_output test_ppo_policy_evaluate test_ppo_model_cc_visual dummy_config test_ppo_model_dc_vector test_ppo_model_dc_visual test_ppo_get_value_estimates test_ppo_model_cc_vector test_gail_dc_visual sac_dummy_config reward_signal_update reward_signal_eval test_extrinsic test_curiosity_cc test_gail_rnn test_gail_cc ppo_dummy_config create_policy_mock test_curiosity_dc curiosity_dummy_config test_curiosity_visual test_curiosity_rnn gail_dummy_config create_mock_all_brain_info create_rl_trainer dummy_config test_rl_trainer create_mock_brain create_mock_policy test_sac_update_reward_signals create_sac_policy_mock test_sac_model_dc_visual test_sac_cc_policy test_sac_visual_policy test_sac_model_cc_vector_rnn test_sac_model_dc_vector test_sac_model_cc_vector dummy_config test_sac_model_dc_vector_rnn test_sac_model_cc_visual test_sac_rnn_policy test_sac_save_load_buffer test_sac_dc_policy test_simple_sac clamp test_simple_ppo Simple1DEnvironment _check_environment_trains test_initialization_seed test_start_learning_trains_until_max_steps_then_saves basic_trainer_controller test_take_step_adds_experiences_to_trainer_and_trains dummy_config trainer_controller_with_take_step_mocks trainer_controller_with_start_learning_mocks test_start_learning_trains_forever_if_no_train_model TestTrainerMetrics test_initialize_online_bc_trainer test_initialize_ppo_trainer test_initialize_trainer_parameters_override_defaults test_load_config_invalid_yaml dummy_offline_bc_config test_initialize_invalid_trainer_raises_exception dummy_bad_config dummy_config test_load_config_missing_file test_load_config_valid_yaml dummy_offline_bc_config_with_override dummy_online_bc_config ActionInfo BaseUnityEnvironment safe_concat_np_ndarray BrainInfo BrainParameters safe_concat_lists Communicator UnityEnvironment EnvManager EnvironmentStep SamplerException UnityWorkerInUseException UnityException UnityCommunicationException UnityTimeOutException UnityEnvironmentException UnityActionException MockCommunicator Policy RpcCommunicator UnityToExternalServicerImplementation MultiRangeUniformSampler UniformSampler SamplerFactory SamplerManager GaussianSampler Sampler SimpleEnvManager SocketCommunicator worker EnvironmentResponse UnityEnvWorker StepResponse SubprocessEnvManager EnvironmentCommand TimerNode hierarchical_timer get_timer_root get_timer_tree reset_timers set_gauge timed GaugeNode TimerStack 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 test_empty_samplers sampler_config_1 check_value_in_intervals incorrect_uniform_sampler test_incorrect_sampler test_sampler_config_1 sampler_config_2 incorrect_sampler_config test_incorrect_uniform_sampler test_sampler_config_2 mock_env_factory SubprocessEnvManagerTest MockEnvWorker test_timers decorated_func main 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 array_equal pool reduce Build tanh mad tanh mul Build concat add sigmoid sub mad _ tanh mul Build concat add sigmoid mad print sorted keys Buffer reset_local_buffers number_visual_observations append_update_buffer append range enumerate make_demo_buffer load_demonstration join read suffix isdir endswith BrainParametersProto from_agent_proto DemonstrationMetaProto ParseFromString AgentInfoProto isfile append from_proto listdir _DecodeVarint32 parse_args add_argument ArgumentParser start_learning fast_simulation create_sampler_manager sampler_file_path put reset_parameters lesson load_config keep_checkpoints str docker_target_name load_model multi_gpu TrainerController save_freq trainer_config_path run_id num_envs format create_environment_factory external_brains no_graphics try_create_meta_curriculum base_port curriculum_folder env_args SubprocessEnvManager train_model initialize_trainers env_path pop SamplerManager load_config list set_all_curriculums_to_lesson_num MetaCurriculum reset_parameters keys chmod format basename isdir glob copyfile copytree prepare_for_docker_run replace seed Process join parse_command_line getLogger print debug run_training start Queue info append randint setLevel range num_runs endswith len print HasField hasattr get_attr isinstance 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 Build mul sub insert Build tolist append range len locate_actual_output_node name find_tensor_by_name split locate_actual_output_node name lstm find_tensor_by_name find_forget_bias split get_layer_shape id Struct tensor get_layer_rank layer_ranks hasattr name patch_data rank input_shapes out_shapes input get_attr append replace_strings_in_list tensors embody astype op inputs zip enumerate print float32 patch_data_fn model_tensors map_ignored_layer_to_its_input co_argcount len items list hasattr get_tensors name print process_layer eval slow_but_stable_topological_sort ModelBuilderContext sort assign_ids pop range insert len layers verbose Struct process_model open print_known_operations fuse compress node GraphDef Model dims_to_barracuda_shape insert get_tensor_dims inputs MessageToJson ParseFromString cleanup_layers read memories print sort write trim summary print_supported_ops update format SACTrainer OfflineBCTrainer copy OnlineBCTrainer PPOTrainer get check_config rcls list_local_devices list zeros_like size reversed range append discount_rewards Mock list ones array range brain_name create_buffer brain sequence_length append range vector_action_space_size Buffer ones number_visual_observations append_update_buffer shape append sum range enumerate setup_mock_unityenvironment mock_env create_mock_braininfo create_mock_brainparams create_mock_brainparams create_mock_brainparams create_mock_brainparams join remove _get_candidate_names convert _get_default_tempdir dirname abspath isfile next create_bc_trainer export_model create_mock_pushblock_brain Mock BCTrainer simulate_rollout mock_env dirname abspath setup_mock_unityenvironment policy create_mock_braininfo create_mock_3dball_brain update_policy create_bc_trainer increment_step agents process_experiences step create_bc_trainer add_experiences end_episode agents process_experiences step create_bc_trainer add_experiences BCPolicy evaluate close reset MockCommunicator reset_default_graph UnityEnvironment reset_default_graph reset_default_graph reset_default_graph reset_default_graph mock_env dirname abspath setup_mock_unityenvironment create_mock_braininfo create_policy_with_bc_mock close ppo_dummy_config create_mock_3dball_brain update items list close create_policy_with_bc_mock create_mock_3dball_brain update items list close create_policy_with_bc_mock create_mock_3dball_brain update items list close create_mock_banana_brain create_policy_with_bc_mock update items list close create_mock_banana_brain create_policy_with_bc_mock flatten list range len append range Buffer get_batch construct_fake_buffer assert_array append_update_buffer make_mini_batch reset_agent array sample_mini_batch construct_fake_buffer append_update_buffer construct_fake_buffer truncate_update_buffer append_update_buffer Curriculum Curriculum Curriculum dumps StringIO StringIO make_demo_buffer load_demonstration dirname abspath make_demo_buffer load_demonstration dirname abspath MagicMock basic_options MagicMock parse_command_line parse_command_line 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 reset_default_graph MultiGpuPPOPolicy create_mock_brainparams reset_default_graph create_mock_brainparams update Mock reset_default_graph MultiGpuPPOPolicy create_mock_brainparams MagicMock TFPolicy basic_mock_brain basic_params BrainInfo get_action MagicMock TFPolicy basic_mock_brain basic_params BrainInfo get_action MagicMock TFPolicy basic_mock_brain ActionInfo basic_params BrainInfo get_action evaluate close reset MockCommunicator PPOPolicy reset_default_graph UnityEnvironment get_value_estimates items list 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 assert_array_almost_equal array discount_rewards Mock increment_step BrainParameters assert_called_with PPOTrainer simulate_rollout update_policy policy PPOTrainer setup_mock_env_and_brains AllRewardsOutput BrainParameters PPOTrainer add_rewards_outputs update SACPolicy PPOPolicy setup_mock_env_and_brains reset evaluate model simulate_rollout _execute_model prepare_update update_dict make_mini_batch create_policy_mock reward_signal_update reward_signal_eval reward_signal_update reward_signal_eval create_policy_mock dirname abspath create_policy_mock reward_signal_update reward_signal_eval create_policy_mock reward_signal_update reward_signal_eval create_policy_mock reward_signal_update reward_signal_eval create_policy_mock reward_signal_update reward_signal_eval create_policy_mock reward_signal_update reward_signal_eval create_policy_mock reward_signal_update reward_signal_eval create_mock_brainparams RLTrainer dummy_config create_mock_brain Mock list create_mock_all_brain_info create_rl_trainer values end_episode construct_curr_info episode_steps create_mock_braininfo create_mock_policy add_experiences SACPolicy setup_mock_env_and_brains update evaluate create_sac_policy_mock simulate_rollout close update_buffer reset reset_default_graph create_sac_policy_mock simulate_rollout close update_reward_signals reset_default_graph update evaluate create_sac_policy_mock simulate_rollout close update_buffer reset reset_default_graph update evaluate create_sac_policy_mock simulate_rollout update_buffer reset reset_default_graph update evaluate create_sac_policy_mock simulate_rollout close update_buffer reset reset_default_graph reset_default_graph reset_default_graph reset_default_graph reset_default_graph reset_default_graph reset_default_graph str Mock SACTrainer save_model simulate_rollout len dummy_config policy setup_mock_env_and_brains Simple1DEnvironment _check_environment_trains Simple1DEnvironment _check_environment_trains TrainerController assert_called_with MagicMock basic_trainer_controller start_learning assert_called_once MagicMock assert_not_called trainer_controller_with_start_learning_mocks trainer_controller_with_start_learning_mocks start_learning MagicMock assert_called_once MagicMock basic_trainer_controller assert_called_once Mock MagicMock current_all_brain_info EnvironmentStep advance outputs assert_not_called trainer_controller_with_take_step_mocks assert_called_once_with previous_all_brain_info dummy_offline_bc_config dummy_offline_bc_config_with_override BrainParametersMock BrainParametersMock dummy_online_bc_config dummy_config BrainParametersMock dummy_bad_config _load_config StringIO extend copy items list value EnvironmentResponse external_brains payload text get_timer_root reset_timers put reset _send_response reset_parameters StepResponse env_factory step memory action perf_counter push reset method_handlers_generic_handler add_generic_rpc_handlers UnityEnvironment close MockCommunicator UnityEnvironment close MockCommunicator reset str local_done print agents step close MockCommunicator UnityEnvironment len UnityEnvironment close MockCommunicator close RpcCommunicator close RpcCommunicator close RpcCommunicator SamplerManager sample_all sampler_config_1 sampler_config_2 SamplerManager SamplerManager sample_all incorrect_uniform_sampler incorrect_sampler_config set_gauge replace endswith add set walk | timotimosky/Unity_ML_Agent_DJL | 3,890 |
timvieira/vocrf | ['part of speech tagging'] | ['Speed-Accuracy Tradeoffs in Tagging with Variable-Order CRFs and Structured Sparsity'] | vocrf/pos/conllu.py vocrf/util.py vocrf/pos/features.py vocrf/test/vocrf_tests.py vocrf/ner/conll.py vocrf/pos/data.py vocrf/pos/tagfail.py vocrf/pos/citations.py vocrf/pos/ptb.py setup.py vocrf/activeset.py vocrf/test/tree_prox_test.py vocrf/pos/instance.py vocrf/ner/data.py vocrf/test/spom_test.py ActiveSet frequency_filter suffixes fdcheck _read_file prefixes ngram_counts prefix_closure fixed_order_contexts groups read_file longest_suffix_in last_char_sub_closure main CoNLL Dataset main CoraCitations main CoNLL_U Dataset char one_or_more word_shape letter_pattern token_padded has_digit special_token Instance PTB main contexts_by_count _main test SPOM_tests random_contexts TreeProxTest TreeTest LazyFailureArcTest test test_stateful MockInstance FailureArcTest prefixes defaultdict add frequency_filter len frequency_filter len range Counter len list hasattr func iterview keys range len append rstrip split CoNLL directory print add_argument ArgumentParser parse_args active_set prefix_closure fixed_order_contexts CoraCitations ActiveSet quick Y CoNLL_U one_or_more sub list isdigit isalpha isdigit update range set active_set context_count outer_iterations contexts_by_count Y values show list prefix_closure map scatter quick range update plot tag_ngram_counts fixed_order_contexts max_order ActiveSet keys join items print groupby2 print test_prox_budget_heuristic list map shuffle list range xprod update VoCRF test_gradient LazyFailureArcTest test_stateful test_overfitting | timvieira/vocrf | 3,891 |
tingliu/glia | ['electron microscopy image segmentation', 'superpixels', 'semantic segmentation'] | ['Image Segmentation Using Hierarchical Merge Tree', 'SSHMT: Semi-supervised Hierarchical Merge Tree for Electron Microscopy Image Segmentation'] | code/gadget/python/script_util.py read_matrix gen_matlab_cmd is_file_valid read_vector read_matrix_cols median make_dir last_file sample write_matrix run_matlab_cmd execute wrap_matlab_cmd all_file pop str list time remove print exit sleep append Popen call time print makedirs sort listdir append listdir fnmatch append sort range choice read_matrix open extend split sort len | tingliu/glia | 3,892 |
tingweidaniel/chemprop_atomicfp_save_depth_final | ['molecular property prediction'] | ['Analyzing Learned Molecular Representations for Property Prediction'] | chemprop/train/__init__.py chemprop/features/utils.py scripts/aggregate_results.py chemprop/utils.py web/config.py scripts/avg_dups.py web/app/db.py chemprop/train/evaluate.py chemprop/train/run_training.py chemprop_structure_splitting_data/random_split.py scripts/check_hyperopt.py chemprop/data/data.py train.py chemprop/data/__init__.py scripts/sanitize.py web/app/views.py scripts/overlap.py chemprop/train/predict.py scripts/similarity.py chemprop/random_forest.py scripts/create_crossval_splits.py chemprop/parsing.py chemprop/models/__init__.py chemprop/train/cross_validate.py random_forest.py scripts/examine_split_balance.py chemprop/nn_utils.py web/run.py scripts/class_balance.py web/app/__init__.py chemprop/data/scaffold.py chemprop/__init__.py chemprop/features/__init__.py scripts/save_features.py predict.py chemprop/models/model.py chemprop/models/mpn.py chemprop/data/scaler.py scripts/find_similar_mols.py web/wsgi.py chemprop/train/make_predictions.py TEST/test.py chemprop/features/featurization.py chemprop/train/train.py scripts/create_crossval_index_files.py setup.py chemprop/features/features_generators.py INCHI_detection.py chemprop/data/utils.py hyperparameter_optimization.py grid_search Average str_to_mol conversion QM initialize_weights index_select_ND NoamLR compute_molecule_vectors get_activation_function compute_pnorm Identity compute_gnorm param_count parse_predict_args parse_train_args add_predict_args update_checkpoint_args modify_predict_args modify_train_args add_train_args multi_task_random_forest single_task_random_forest cross_validate_random_forest run_random_forest build_lr_scheduler get_loss_func prc_auc load_checkpoint build_optimizer load_args accuracy mse create_logger get_metric_func save_checkpoint rmse load_task_names load_scalers makedirs MoleculeDataset MoleculeDatapoint log_scaffold_stats scaffold_split generate_scaffold scaffold_to_smiles StandardScaler get_smiles get_header get_num_tasks get_data_from_smiles get_data split_data get_class_sizes get_task_names filter_invalid_smiles validate_data rdkit_2d_features_generator get_features_generator morgan_binary_features_generator get_available_features_generators register_features_generator morgan_counts_features_generator get_bond_fdim num_atom_in_ring MolGraph clear_cache bond_features bond_in_member_rings with_message_passing atom_features is_zwitterion atom_in_member_rings mol2graph get_atom_fdim BatchMolGraph num_bond_in_ring onek_encoding_unk save_features load_features LambdaLayer MoleculeModel TimeDistributed_wrapper build_model MPNEncoder MPN cross_validate evaluate_predictions evaluate make_predictions predict run_training train aggregate_results average_duplicates main class_balance create_crossval_indices create_time_splits create_crossval_splits split_indices compute_ratios examine_split_balance find_similar_mols_from_file find_similar_mols save_similar_mols overlap sanitize generate_and_save_features load_temp scaffold_similarity morgan_similarity TestScripts TestPredict TestTrain TestHyperopt build_app insert_ckpt insert_model delete_dataset query_db get_all_users delete_ckpt get_db init_db close_db get_models get_datasets init_app get_ckpts insert_user insert_dataset data upload_data find_unused_path checkpoints delete_checkpoint progress_bar render_train format_float receiver name_already_exists_message home predict download_predictions check_not_demo render_predict upload_checkpoint download_data create_user delete_data get_upload_warnings_errors download_checkpoint format_float_list train min config_save_path create_logger fmin info makedirs split fromSMILES fromInChI startswith index_select size view xavier_normal_ parameters constant_ hasattr extend MoleculeDataset eval Identity trange numpy add_argument add_argument join checkpoint_dir checkpoint_paths endswith append walk len update_checkpoint_args preds_path makedirs parse_args add_predict_args modify_predict_args ArgumentParser crossval_index_sets name update_checkpoint_args hidden_size len test features_only save_dir TemporaryDirectory makedirs parse_args modify_train_args add_train_args ArgumentParser RandomForestRegressor append evaluate_predictions num_tasks zip RandomForestClassifier trange predict fit RandomForestRegressor targets evaluate_predictions num_tasks RandomForestClassifier features predict fit single_task single_task_random_forest info get_features_generator set_features debug multi_task_random_forest metric tqdm get_data get_metric_func split_data pformat morgan_fingerprint vars seed run_random_forest num_folds nanmean info append array range enumerate dirname save load update build_model debug load_state_dict cuda keys state_dict load precision_recall_curve join FileHandler getLogger addHandler StreamHandler DEBUG setLevel INFO makedirs MurckoScaffoldSmiles defaultdict generate_scaffold tqdm add enumerate seed list sorted values debug log_scaffold_stats shuffle mols append scaffold_to_smiles count_nonzero debug nanmean append array concatenate write_true_val debug set load_features append features filter_invalid_smiles len MoleculeDataset debug filter_invalid_smiles len seed int tuple log_scaffold_stats extend shuffle append range len count_nonzero targets append range len pop MolFromSmiles get_header tqdm add set unique float zeros GetMorganFingerprintAsBitVect ConvertToNumpyArray zeros GetHashedMorganFingerprint ConvertToNumpyArray RDKit2DNormalized len int GetTotalDegree GetAtomicNum GetChiralTag atom_in_member_rings GetTotalNumHs onek_encoding_unk GetBondType append MolGraph GetAtoms IsInRingSize range enumerate IsInRingSize range enumerate GetNumAtoms IsInRing GetAtoms IsInRing GetNumAtoms range GetBondBetweenAtoms savez_compressed load initialize_weights MoleculeModel create_ffn create_encoder num_tasks seed join show_individual_scores zip print run_training num_folds data_path nanmean info append get_task_names save_dir array range enumerate makedirs metric_func info append float range len evaluate_predictions predict targets write_true_val get_data checkpoint_paths list set_device tolist smiles normalize_features predict use_compound_names get_data_from_smiles compound_names features_scaling setattr load_scalers enumerate items print load_checkpoint load_args tqdm MoleculeDataset zeros gpu len tolist extend MoleculeDataset eval trange append inverse_transform numpy get_data get_metric_func save_checkpoint separate_test_path evaluate_predictions get_task_names get_class_sizes features_size save_dir cuda sorted get_loss_func build_lr_scheduler set_device build_optimizer tolist epochs smiles append normalize_features range predict SummaryWriter build_model debug set_targets task_names pformat num_tasks zip separate_val_path vars features_scaling trange info enumerate show_individual_scores join ensemble_size isinstance evaluate add_scalar load_checkpoint save_smiles_splits makedirs data_path nanmean split_data zeros train step gpu len batch_size model zero_grad loss_func compute_gnorm cuda is_cuda ones shape compute_pnorm sum get_lr cat debug shuffle trange long enumerate join isinstance backward add_scalar MoleculeDataset parameters Tensor step len print sort basename walk defaultdict print get_header targets data_path get_data smiles zip append range len basename print set walk range print get_data split_data get_class_sizes zip append get_task_names range enumerate seed list print len num_folds shuffle save_dir range makedirs sorted list values min shuffle index mols append array range scaffold_to_smiles len deepcopy list join str split_indices makedirs num_folds time_folds_per_train_set get_data data_path MoleculeDataset append save_dir range len join list split_indices test_folds_to_test makedirs num_folds shuffle val_folds_per_test get_data data_path split_type save_dir range len nanmean array minimum targets join sum maximum get_data MoleculeDataset isnan nanmean pprint nan append listdir array compute_ratios len print cdist set OrderedDict append array enumerate compute_molecule_vectors print load_checkpoint find_similar_mols_from_file makedirs print set get_data smiles intersection len join extend exists load_features save_features restart get_features_generator get_data exists list map imap load_temp append features_generator save_path sequential enumerate join remove extend tqdm rmtree makedirs update join list print zip array scaffold_to_smiles join product print TanimotoSimilarity choice tqdm sqrt ceil array append len get init_app teardown_appcontext rmtree get_db makedirs Row connect execute close fetchall pop close query_db commit close get_db execute lastrowid commit close get_db execute lastrowid join remove cursor commit query_db close get_db execute commit close get_db execute lastrowid commit close get_db execute lastrowid execute commit close get_db join save_dir exists sleep str exists splitext get insert_user get_upload_warnings_errors get int insert_ckpt dataset_type ensemble_size targets get_data epochs ArgumentParser append parse_args add_train_args get_upload_warnings_errors secure_filename make_predictions save ArgumentParser get_smiles all filename parse_args load_task_names get modify_predict_args get_models join add_predict_args int print split len get_upload_warnings_errors get join remove delete_dataset get_upload_warnings_errors get get_models BytesIO seek query_db delete_ckpt | tingweidaniel/chemprop_atomicfp_save_depth_final | 3,893 |
tinyRattar/CSMRI_0325 | ['mri reconstruction'] | ['Cascaded Dilated Dense Network with Two-step Data Consistency for MRI Reconstruction'] | network/networkUtil.py util/imageUtil.py network/CNN.py dataProcess.py network/RDN.py util/__init__.py network/DC_CNN.py util/recoder.py network/__init__.py network/cascadeNetwork.py main.py core.py network/RDN_complex.py core generateDatasetName getDataloader dataset_1in1_noImg FastMRI_1in1_noImg CN_Dense subUnet convBlock denseConv CN_Conv subDenseNet CNN vanillaCNN Unet_dc fourConv DC_CNN convBlock denseBlockLayer_origin dataConsistencyLayer_static dataConsistencyLayer kspaceFilter abs4complex kspaceFuse denseBlock transitionLayer denseBlock_origin denseBlockLayer SELayer convLayer RDN dilatedConvBlock dataFidelityUnit RDN_recursionUnit RDN_complex dilatedConvBlock dataFidelityUnit RDN_recursionUnit getNet getLoss getOptimizer subsampling_mask fc2c saveIm kspace_subsampling_pytorch draw_kspace_img rgb2bgr imgFromSubF_pytorch f2img imshow kspace_subsampling im_normalize img2f addZoomIn Recoder loadNet saveNet mkdir paramNumber range len str list FastMRI_1in1_noImg print dataset_1in1_noImg extend generateDatasetName DataLoader range len sqrt zeros_like ifft fft zeros_like reshape sqrt permute ifft fft zeros_like sqrt permute append Adam RMSprop show fc2c draw_kspace_img axis merge abs split imshow abs log fft2 fftshift ifft2 ifftshift fft2 fftshift zeros_like zeros_like zeros_like copy rectangle resize zeros range imwrite merge split merge split reshape fft permute zeros_like ifft sqrt permute mean std makedirs str remove exists save load str load_state_dict parameters list size | tinyRattar/CSMRI_0325 | 3,894 |
tk-rusch/coRNN | ['sentiment analysis', 'sequential image classification'] | ['Coupled Oscillatory Recurrent Neural Network (coRNN): An accurate and (gradient) stable architecture for learning long time dependencies'] | sMNIST/utils.py noisy_CIFAR10/utils.py IMDB/model.py sMNIST/sMNIST_task.py sMNIST/network.py noisy_CIFAR10/network.py adding/utils.py adding/model.py HAR-2/har2_task.py psMNIST/network.py noisy_CIFAR10/noisy_cifar10_task.py psMNIST/utils.py IMDB/utils.py IMDB/IMDB_task.py HAR-2/network.py adding/adding_task.py psMNIST/psMNIST_task.py train test coRNN coRNNCell get_batch binary_accuracy test coRNN lstm coRNNCell binary_accuracy train evaluate coRNN RNNModel get_data zero_words_in_embedding coRNN coRNNCell test get_data coRNN coRNNCell test get_data coRNN coRNNCell test get_data eval T format get_batch model backward print zero_grad test range max_steps unsqueeze append to step objective batch int zeros_like rand stack randint sum range sigmoid round float sum len len eval criterion text squeeze binary_accuracy splits LabelField Field build_vocab split vectors zeros copy_ dataset random_split DataLoader CIFAR10 MNIST | tk-rusch/coRNN | 3,895 |
tkc-morita/ZeroSpeech2020_TTSwoT | ['speech recognition'] | ['Exploring TTS without T Using Biologically/Psychologically Motivated Neural Network Modules (ZeroSpeech 2020)'] | conv_encoder/modules/articulation.py ESN/modules/data_utils.py ESN/modules/sound_transforms.py conv_encoder/modules/sound_transforms.py conv_encoder/learning.py ESN_F0-learn/modules/articulation.py ESN_F0-learn/modules/loss.py conv_encoder/modules/cognition.py ESN_F0-learn/learning.py ESN/test.py conv_encoder/modules/loss.py ESN_F0-learn/modules/data_utils.py preprocessing/create_data_director.py ESN_F0-learn/test.py ESN_F0-learn/modules/rnn_utils.py conv_encoder/modules/rnn_utils.py conv_encoder/test.py ESN/modules/articulation.py conv_encoder/modules/audition.py ESN_F0-learn/plot_f0.py ESN_F0-learn/modules/cognition.py preprocessing/check_mfcc_distr.py ESN/learning.py conv_encoder/modules/data_utils.py ESN_F0-learn/modules/sound_transforms.py ESN/modules/loss.py ESN/plot_f0.py ESN/modules/rnn_utils.py ESN/modules/cognition.py ESN_F0-learn/modules/audition.py ESN/modules/audition.py update_log_handler get_save_dir get_args Learner get_args Tester Filter Articulation Source FilterBlock DilatedConv FIRFilter Audition ConvSubLayer TimeJitter Cognition MLP SpeakerColoring Upsample ABCD_VAE get_data_loader collator Compose RandomSampler IterationBasedBatchSampler Dataset SpectralLoss pad_flatten_sequence STFT MFCC normalize_int16 shift Quantize Normalize MuLawCompund Rescale update_log_handler get_save_dir get_args Learner get_args Tester F0 get_args Tester Filter Articulation Source FilterBlock DilatedConv FIRFilter ESN Audition TimeJitter Cognition Downsample MLP SpeakerColoring Upsample ABCD_VAE get_data_loader collator Compose RandomSampler IterationBasedBatchSampler Dataset SpectralLoss pad_flatten_sequence STFT MFCC normalize_int16 shift Quantize Normalize MuLawCompund Rescale update_log_handler get_save_dir get_args Learner get_args Tester F0 get_args Tester Filter Articulation Source FilterBlock DilatedConv FIRFilter ESN Audition TimeJitter Cognition Downsample MLP SpeakerColoring Upsample ABCD_VAE get_data_loader collator Compose RandomSampler IterationBasedBatchSampler Dataset F0Loss SpectralLoss pad_flatten_sequence STFT MFCC F0 normalize_int16 shift Quantize Normalize MuLawCompund Rescale get_mfccs normalize_int16 create_data_director find_root join setFormatter format info addHandler removeHandler Formatter isfile setLevel FileHandler add_argument ArgumentParser join makedirs RandomSampler DataLoader BatchSampler IterationBasedBatchSampler SequentialSampler list sorted zip tensor pack_sequence ndarray isinstance astype float32 float int read join concatenate stft glob astype float32 absolute delta mfcc append join read basename relpath glob find_root append float zip | tkc-morita/ZeroSpeech2020_TTSwoT | 3,896 |
tkim-snu/GLACNet | ['visual storytelling', 'story generation'] | ['GLAC Net: GLocal Attention Cascading Networks for Multi-image Cued Story Generation'] | train.py eval.py build_vocab.py resize.py disp_multiple_images.py vist.py data_loader.py model.py main build_vocab Vocabulary VistDataset collate_fn get_loader show_images to_var transform_image DecoderRNN EncoderCNN DecoderStory EncoderStory main resize_image resize_images main to_var VIST update list word_tokenize Vocabulary print add_word Counter lower VIST keys enumerate print vocab_path len build_vocab list zip append long enumerate VistDataset DataLoader show set_size_inches set_title add_subplot axis gray imshow figure zip ceil get_size_inches float array enumerate len is_available cuda unsqueeze LANCZOS resize join print makedirs listdir enumerate len resize_images image_dir output_dir batch_size num_layers zero_grad EncoderStory save pretrained_epoch cuda str train_sis_path Adam load_state_dict train_image_dir encoder CrossEntropyLoss range state_dict img_feature_size to_var Compose stack eval zip embed_size model_path val_sis_path is_available DecoderStory get_params float enumerate load join num_epochs decoder backward min val_image_dir get_loader train step hidden_size makedirs | tkim-snu/GLACNet | 3,897 |
tkrivachy/neural-network-for-nonlocality-in-networks | ['causal inference'] | ['A neural network oracle for quantum nonlocality problems in networks'] | sample_code/config.py sample_code_multiple_sweeps/utils_nn.py sample_code_multiple_sweeps/train_multiple_sweeps.py sample_code/targets.py sample_code_multiple_sweeps/targets.py sample_code_CHSH/train_multiple_sweeps.py sample_code/train.py sample_code_CHSH/config.py sample_code_multiple_sweeps/config.py sample_code_CHSH/utils_nn.py sample_code_CHSH/targets.py sample_code/utils_nn.py Config initialize load_config target_distribution_gen_all target_distribution_gen single_sweep_training single_run np_distance build_model customLoss keras_distance np_euclidean_distance single_evaluation plot_strategies compare_models customLoss_distr generate_x_test update_results generate_xy_batch Config initialize load_config target_distribution_gen_all target_distribution_gen single_run np_distance build_model customLoss keras_distance np_euclidean_distance single_evaluation compare_models customLoss_distr generate_x_test update_results generate_xy_batch Config initialize load_config target_distribution_gen_all target_distribution_gen single_run np_distance build_model customLoss keras_distance np_euclidean_distance single_evaluation plot_strategies compare_models customLoss_distr generate_x_test update_results generate_xy_batch Config save ones target_distribution_gen shape range len join int product zeros_like astype flatten sqrt zeros array savebestpath euclidean_distances np_euclidean_distance p_target change_p_target clf save single_run use target_distr_name single_evaluation title ylim savefig log10 ceil range format np_distance plot plot_strategies int target_ids print zfill figure latin_depth Model Input greek_depth range VarianceScaling epsilon clip epsilon clip mean reshape flatten random divide random divide predict_generator eval customLoss_distr generate_x_test clear_session format load_model Adadelta build_model print compile start_from SGD fit_generator optimizer generate_xy_batch single_evaluation savebestpath euclidean_distances np_euclidean_distance p_target target_distributions clf save distances str load_model target_distr_name single_evaluation title ylim log10 savefig ceil format np_distance plot distributions plot_strategies int target_ids print sweep_id zfill clear_session subplots subplot str load_model target_distr_name transpose ylabel title scatter log10 savefig legend ceil next predict plot concatenate sqrt generate_x_test int suptitle xlabel reshape invert_yaxis zfill binputsize ainputsize sqrt binputsize ainputsize binputsize concatenate choice ainputsize binputsize concatenate choice ainputsize | tkrivachy/neural-network-for-nonlocality-in-networks | 3,898 |
tmfs10/ical | ['active learning'] | ['Information Condensing Active Learning'] | src/acquisition_method.py src/recover_model.py src/acquisition_batch.py src/subrange_dataset.py src/torch_utils.py src/emnist_model.py src/joint_entropy/unoptimized/test_exact_joint_probs.py src/reduced_consistent_mc_sampler.py src/joint_entropy/sampling.py src/joint_entropy/exact.py src/gpu_utils/utils.py src/test_acquisition_functions.py src/al_notebook/results_loader.py src/cifar_model1.py src/al_notebook/torch_utils.py src/joint_entropy/unoptimized/exact.py src/run_experiment.py src/mc_dropout.py src/ops.py src/ignite_restoring_score_guard.py src/resnet.py src/sampler_model.py src/cifar_model_sm.py src/transformed_dataset.py src/mnist_model.py src/ignite_progress_bar.py src/multi_bald.py src/joint_entropy/unoptimized/test_sampling_batch.py src/dataset_enum.py src/context_stopwatch.py src/joint_entropy/unoptimized/test_sampling_sample.py src/hsic.py src/test_torch_utils.py src/cifar_model2.py src/cifar_model_bn.py src/cifar_model.py src/train_model.py src/joint_entropy/unoptimized/test_exact_batch.py src/acquisition_functions.py src/independent_batch_acquisition.py src/joint_entropy/test_matmuls.py src/al_notebook/plots.py src/al_notebook/show_batch.py src/cifar_model_vgg.py src/test_torch_mnist.py src/active_learning_data.py src/ignite_utils.py src/mmd.py src/run_experiment_no_al.py src/joint_entropy/test_joint_entropy.py src/random_fixed_length_sampler.py src/joint_entropy/unoptimized/sampling.py src/cifar_model_aaai.py AcquisitionBatch max_entropy_acquisition_function compute_mi_probs generate_sample random_acquisition_function variation_ratios bald_acquisition_function compute_mi_sample compute_pair_mi mean_stddev_acquisition_function AcquisitionFunction AcquisitionMethod ActiveLearningData BayesianNet BayesianNet BayesianNet BayesianNet BayesianNet BayesianNet BayesianNet ContextStopwatch get_RepeatedMNIST ExperimentData balance_dataset_by_repeating DatasetEnum filter_dataset compose_transformers get_targets get_MNIST get_experiment_data DataSource EMNIST get_target_bins BayesianNet sum_pairwise_hsic hsic_xy compute_point_hsics mixrq_kernels two_vec_mixrbf_kernels pairwise_hsic total_hsic_parallel hsic_xy_parallel two_vec_mixrq_kernels linear_kernel dimwise_distance_kernels total_hsic dimwise_mixrbf_kernels sqdist precompute_batch_hsic_stats mixrbf_kernels mixrq_kernels_parallel center_kernel sqdist_parallel dimwise_mixrq_kernels ignite_progress_bar IgniteProgressBar RestoringScoreGuard epoch_chain store_iteration_results log_results store_epoch_results chain log_epoch_results get_top_n compute_acquisition_bag MCDropout2d MCDropout BayesianModule set_dropout_p _MCDropout _mix_rq_dot_kernel _mix_rq_kernel _np_get_sums _mix_rbf_kernel _rbf_kernel np_diff_polynomial_mmd2_and_ratio_with_saving _np_diff_mmd2_and_ratio_from_sums mmd2 _mmd2_and_ratio _mmd2_and_variance _mmd2 _diff_mmd2_and_ratio diff_polynomial_mmd2_and_ratio_with_saving _mix_rq_01dot_kernel _diff_mmd2_and_ratio_from_sums _tanh_mix_rq_kernel mmd2_and_ratio _mix_rq_1dot_kernel _tanh_distance_kernel _dot_kernel diff_polynomial_mmd2_and_ratio _distance_kernel _mix_rq_001dot_kernel _mix_rq_kernel_parallel _get_sums _mix_rq_10dot_kernel BayesianNet set_rng_state shape_assert index_tensor_by_vector get_rng_state pearsonr kl_divergence permute_dims sq_sum parallel_cross_corrcoef cross_cov is_inf cross_corrcoef tensor_any range_complement is_finite debug_print isfinite corrcoef isinf sqdist recon_loss parallel_cross_cov tensor_all scatter_tensor_by_vector is_nan get_debug_loc dot isnan diag_part set_diagonal cov RandomFixedLengthSampler Loaders recover_model get_samples_from_laaos_store RecoveredModel recover_args parse_enum_str reduced_eval_consistent_bayesian_model SubsetEvalResults ResNet ResNet18 Bottleneck ResNet34 ResNet101 conv3x3 ResNet50 test_resnet BasicBlock ResNet152 main create_experiment_config_argparser main SamplerModel NoDropoutModel eval_bayesian_model_consistent SubrangeDataset dataset_subset_split test_check_input_permutation test_acquisition_functions test_random_acquistion_function test_find_additional_labels test_partition_dataset test_get_balanced_samples get_subset_base_indices is_cuda_out_of_memory is_cudnn_snafu cuda_meminfo partition_dataset get_base_indices split_tensors should_reduce_batch_size logit_mean batch_jsd get_cuda_total_memory get_cuda_blocked_memory get_balanced_sample_indices gather_expand batch_multi_choices mean_stddev entropy get_cuda_available_memory _get_cuda_assumed_available_memory gc_cuda mutual_information train_model Entropy build_metrics TrainModelResult TransformedDataset get_best_gpu get_gpus get_n_gpus gpu_init get_running_pids nvidia_smi plot_aggregated_groups plot_save plot_aggregated_groups_sample_points plot_aggregated_values map_dict diff_args merge_args gather_accuracies get_accuracy get_marks load_experiment_results index_of_first fix_chosen_samples fill_values_sample_points_T aggregate_accuracies discard_eng_args to_namedtuple get_samples_accuracy_I aggregate_values get_diff_args_key2text aggregate_values_sample_points_T get_samples_values_I get_any gather_samples_I parse_enum_str get_vip_args VIPArgs handle_unary_funcs load_laaos_files AggregateAccuracies get_stores_info gather_accuracy recover_args get_merge_args_field pandas_accuracies expand_samples_I_values_I merge_sample_points_T groupby_dict handle_map_funcs get_laaos_files filter_dict gather_values camel_case_name get_threshold_quantiles_key sort_dict mnist_train show_batch mnist_test show_indices print_global_torch_tensors print_cuda_info gc_cuda entropy_from_M_K entropy_from_probs_b_M_C joint_probs_M_K joint_probs_M_K_impl batch_conditional_entropy_B batch conditional_entropy_from_logits_B_K_C entropy_joint_probs_B_M_C from_M_K sample_M_K importance_weighted_entropy_p_b_M_C sample_M_K_unified batch test_sampling_joint_entropy basic_exact_joint_entropy load_logits test_exact_joint_entropy test_unified_sampling_joint_entropy B samples_M_K test_looped_matmul C result_B_M_C test_batch_matmul K probs_B_K_C torch_device M batch_conditional_entropy_B joint_probs_M_K entropy_from_M_K batch from_M_K sample_M_K batch S probs_N_K_C B samples_M_K exact_module sampling_module C result_B_M_C K probs_B_K_C N torch_device test_batch M S probs_N_K_C B samples_M_K exact_module sampling_module C result_B_M_C test_joint_probs K probs_B_K_C N torch_device M S probs_N_K_C B samples_M_K exact_module sampling_module C result_B_M_C K probs_B_K_C N torch_device test_batch M S probs_N_K_C B samples_M_K test_sample_M_K exact_module sampling_module C result_B_M_C K probs_B_K_C N torch_device M list exp mean shape item range list view shape Categorical sample list shape float sum range list mean shape compute_pair_mi item range ones tolist logical_and len MNIST Compose MNIST Compose ConcatDataset list balance_dataset_by_repeating print ActiveLearningData extract_dataset_from_indices tolist SubrangeDataset Subset from_iterable available_dataset active_dataset extract_dataset acquire TransformedDataset max get_target_bins values len list Counter list print min from_iterable max values MNIST isinstance ConcatDataset Subset CIFAR10 dataset unsqueeze exp view unsqueeze new_ones len view unsqueeze new_ones log1p len view unsqueeze new_ones log1p len sqdist unsqueeze sqdist unsqueeze exp view unsqueeze new_ones len view ndimension unsqueeze new_ones log1p sum len logsumexp mean shape new_tensor prod sum max log logsumexp shape new_tensor stack sum log mean shape tensor logsumexp unsqueeze sum log cat exp logsumexp new_tensor unsqueeze sum log cat mean transpose sum center_kernel dot new_tensor set_diagonal type max einsum sum view center_kernel dot new_tensor set_diagonal type max einsum ones_like center_kernel shape sqrt unsqueeze set_diagonal tensor max diag einsum attach IgniteProgressBar topk reduced_eval_consistent_bayesian_model print get_dataset_indices scores_B subset_split numpy apply r transpose matmul mysqrt diag_part c transpose matmul exp r transpose matmul diag_part c max r transpose matmul diag_part c zip max len r transpose matmul diag_part c zip sum max log len r transpose matmul diag_part c zip sum max log len float sum trace sqrt max _mmd2_and_variance sq_sum dot diag_part float sum float transpose matmul transpose matmul _diff_mmd2_and_ratio_from_sums _get_sums float float sq_sum mysqrt dot sum max diag_part float sum sq_sum transpose _np_diff_mmd2_and_ratio_from_sums dot float _np_get_sums dot sqrt sum max dot float sum diag div size mean size device append to split shape arange view zeros byte isinstance ones_like shape unsqueeze range diag len mean norm sub dot size mean t sub expand_as mm clamp t pow div cov expand_as diag size mean sub expand_as mm mean permute einsum expand_as clamp parallel_cross_cov std permute clamp transpose cross_cov std set_state f_back currentframe range getframeinfo print get_debug_loc isinstance get_debug_loc shape Tensor range len shape list shape_assert view list view extend mnist AcquisitionMethod DatasetEnum dict independent parse_enum_str AcquisitionFunction validation_dataset balanced_test_set test_dataset DataLoader get_experiment_data device seed num_classes validation_set_size num_inference_samples get_samples_from_laaos_store get_data_source manual_seed recover_args train_model log_interval print train_dataset early_stopping_patience balanced_validation_set epochs print ActiveLearningData available_dataset DataLoader acquire dataset len randn Variable print size ResNet50 net add_argument validation_dataset balanced_test_set test_dataset reduced_eval_consistent_bayesian_model fix_numpy_python_seed indices DataLoader compute_mi_sample initial_samples_per_class ArgumentParser device get_experiment_data compute_pair_mi dataset max count seed str list exp experiments_laaos argv get_base_indices validation_set_size generate_sample experiment_task_id len min_remaining_percentage epochs shape safe_load active_dataset acquire append parse_args create_file_store available_sample_k quickquick __dict__ get_targets gpu_init available_dataset mean manual_seed item enumerate initial_samples join print cudnn_deterministic min_candidates_per_acquired_item add_argument train_dataset balanced_validation_set dict create_experiment_config_argparser makedirs values num_classes name from_iterable get_random_available_indices train_dataset_limit get_data_source RandomFixedLengthSampler train_model RandomSampler epoch_samples len append SubrangeDataset isinstance len MNIST islice estimator eval DataLoader RandomAcquisitionFunction tensor cat MNIST create islice estimator eval DataLoader cat tensor BayesianNet create Forwarder rand estimator eval cat assert_allclose MNIST islice estimator eval DataLoader cat tensor BALDEstimator BayesianNet randint list get_balanced_sample_indices items ones partition_dataset array empty_cache collect gc_cuda empty _get_cuda_assumed_available_memory print mean logit_mean entropy squeeze int defaultdict randperm append range len isinstance tensor sum log multinomial reshape list list expand epoch_chain metrics store_iteration_results print nll_loss ignite_progress_bar create_supervised_trainer RestoringScoreGuard store_epoch_results run chain to desc log_epoch_results create_supervised_evaluator stdout split len int nvidia_smi append GPU split max get_gpus print str ConfigProto device findall compile axhline list from_iterable scatter gca sample_points plot set quantile_sample_points zip thresholds enumerate pop items vlines print threshold_quantiles accuracies dict fill_between len plot_aggregated_values plot_aggregated_values savefig use namedtuple isinstance tuple camel_case_name keys handle_map_funcs handle_unary_funcs handle_unary_funcs items list inner_key handle_unary_funcs join walk abspath items list get_laaos_files safe_load recover_args append iterations accuracy index_of_first append list gather_samples_I values_getter zip append extend len list max zip percentile fill_values_sample_points_T asarray T merge_sample_points_T empty fill_values_sample_points_T asarray merge_sample_points_T initial_samples items list defaultdict available_sample_k isinstance tuple tag add set iterations keys values len discard_eng_args merge_args update list discard_eng_args merge_args dict keys initial_samples available_sample_k acquisition_method tag iterations num_inference_samples dataset type len update load_laaos_files append keys diff_args set imshow transpose numpy make_grid show_batch stack print items p tuple element_size shape device prod t shape range reshape ones shape mean sum shape empty range matmul ones entropy_from_probs_b_M_C split_tensors copy_ shape device zeros double entropy_joint_probs_B_M_C shape split_tensors copy_ shape double empty conditional_entropy_from_logits_B_K_C gather_expand t long double prod exp reshape gather_expand t double sum long log mean matmul importance_weighted_entropy_p_b_M_C empty range list exp product reshape gather_expand range mean shape device zeros double prod log load joint_probs_M_K exp item exp sample_M_K joint_probs_M_K item numpy exp sample_M_K joint_probs_M_K item numpy param gc_cuda benchmark benchmark reshape t double range sum log sum exp benchmark benchmark | tmfs10/ical | 3,899 |
Subsets and Splits
No saved queries yet
Save your SQL queries to embed, download, and access them later. Queries will appear here once saved.