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 |
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zhaobomin/pytorch-ocr | ['scene text detection'] | ['Detecting Text in Natural Image with Connectionist Text Proposal Network'] | train_ctpn.py train_crnn.py predict_ocr_only.py model_ctpn/helper/image.py model_crnn/darknet_model.py predict_demo.py model_ctpn/helper/text_proposal_graph_builder.py ocr_main.py model_crnn/helper/dataset_crnn.py model_ctpn/darknet_model.py model_ctpn/text_model.py model_crnn/crnn_model.py model_ctpn/helper/dataset_ct... | zhaobomin/pytorch-ocr | 4,300 |
zhaojb17/Universal_Adversarial_Perturbations-Pytorch | ['adversarial attack'] | ['Foolbox: A Python toolbox to benchmark the robustness of machine learning models'] | Generation.py resnet.py train.py Generation_via_optimization.py project_perturbation test test ResNet ResNet18 ResNet34 Bottleneck ResNet101 test ResNet50 BasicBlock ResNet152 test minimum norm min sign flatten abs randn print ResNet18 size net eval | zhaojb17/Universal_Adversarial_Perturbations-Pytorch | 4,301 |
zhaoweicai/EdMIPS | ['combinatorial optimization'] | ['Rethinking Differentiable Search for Mixed-Precision Neural Networks'] | models/quant_googlenet.py search.py models/quant_resnet.py models/mixgoogle.py models/__init__.py models/mixresnet.py main.py models/quant_inception.py models/mixinception.py models/quant_module.py validate AverageMeter accuracy save_checkpoint ProgressMeter adjust_learning_rate main_worker main train validate AverageM... | zhaoweicai/EdMIPS | 4,302 |
zhaoyi2/xvector-cnceleb | ['speaker recognition'] | ['CN-CELEB: a challenging Chinese speaker recognition dataset'] | steps/nnet3/chain/e2e/train_e2e.py utils/lang/internal/modify_unk_pron.py utils/lang/bpe/learn_bpe.py steps/chain/e2e/text_to_phones.py steps/nnet3/lstm/make_configs.py steps/dict/prons_to_lexicon.py steps/segmentation/internal/get_transform_probs_mat.py steps/nnet3/train_dnn.py utils/lang/compute_sentence_probs_arpa.p... | zhaoyi2/xvector-cnceleb | 4,303 |
zhd96/ds-hdp-hmm | ['time series'] | ['Disentangled Sticky Hierarchical Dirichlet Process Hidden Markov Model'] | examples/hdp-hmm/run_full_bayesian_approx_parallel_gibbs_ar_reg.py examples/s-hdp-hmm/run_full_bayesian_gibbs_gaussian_efox.py code/gibbs_approx_parallel_efox.py examples/ds-hdp-hmm/run_full_bayesian_gibbs_poisson.py examples/hdp-hmm/run_full_bayesian_gibbs_poisson_reg.py examples/s-hdp-hmm/run_full_bayesian_gibbs_mult... | zhd96/ds-hdp-hmm | 4,304 |
zhd96/zig | ['denoising'] | ['A zero-inflated gamma model for deconvolved calcium imaging traces'] | code/util_plot.py code/encoding_fourier.py code/encoding.py code/decoding.py code/layers.py code/simulate_data.py getVaryHdr bernoulliDecoding error getVaryCI getHdrCoverage pair_t poissonDecoding getCICoverage getHdr getCI mad gammaDecoding sngDecoding sngRlxDecoding getCIOld get_zero poissonMleEncoding samplePoisson ... | zhd96/zig | 4,305 |
zhegan27/TSBN_code_NIPS2015 | ['time series'] | ['Deep Temporal Sigmoid Belief Networks for Sequence Modeling'] | bouncing_balls/data/data_handler_bouncing_balls.py norm bounce_n ar size bounce_vec bounce_mat new_speeds shape sigmoid matricize show_sample isinstance isinstance int norm randn transpose rand dot new_speeds zeros abs array range ar meshgrid zeros array range matricize bounce_n array matricize bounce_n array int str r... | zhegan27/TSBN_code_NIPS2015 | 4,306 |
zhengchuanpan/GMAN | ['image dehazing', 'traffic prediction'] | ['GMAN: A Graph Multi-Attention Network for Traffic Prediction'] | PeMS/node2vec/node2vec.py METR/node2vec/generateSE.py PeMS/test.py METR/test.py METR/train.py PeMS/utils.py PeMS/model.py METR/utils.py PeMS/train.py METR/node2vec/node2vec.py METR/model.py METR/tf_utils.py PeMS/node2vec/generateSE.py PeMS/tf_utils.py spatialAttention transformAttention mae_loss placeholder STEmbedding... | zhengchuanpan/GMAN | 4,307 |
zhenglisec/Blind-Watermark-for-DNN | ['machine translation'] | ['How to Prove Your Model Belongs to You: A Blind-Watermark based Framework to Protect Intellectual Property of DNN'] | results/DPN26/models/main.py results/resnet18/models/HidingUNet.py results/vgg11/models/main.py results/resnet101/models/Discriminator.py results/preactresnet18/models/main.py results/vgg13/models/HidingUNet.py models/LeNet.py results/googlenet/models/main.py results/lenet1/models/HidingUNet.py models/mobilenetv2.py re... | zhenglisec/Blind-Watermark-for-DNN | 4,308 |
zhengqili/MegaDepth | ['depth estimation', 'semantic segmentation'] | ['MegaDepth: Learning Single-View Depth Prediction from Internet Photos'] | options/train_options.py data/image_folder.py models/HG_model.py data/data_loader.py util/image_pool.py util/png.py models/base_model.py models/models.py util/html.py SDR_compute.py data/base_data_loader.py options/base_options.py data/aligned_data_loader.py rmse_error_main.py demo.py util/util.py pytorch_DIW_scratch.p... | zhengqili/MegaDepth | 4,309 |
zhengwang100/RECT | ['network embedding'] | ['Network Embedding with Completely-imbalanced Labels'] | rect_package/rect.py rect_package/process.py rect_package/gcn.py label_utils_functions.py main_rect.py classify.py evaluate_embeddings_with_split TopKRanker read_node_label Classifier get_label_attributes completely_imbalanced_split_train completely_imbalanced_split_train_single_label cover_all_class_split_train get_la... | zhengwang100/RECT | 4,310 |
zhengwang100/RSDNE-python | ['network embedding'] | ['RSDNE: Exploring Relaxed Similarity and Dissimilarity from Completely-imbalanced Labels for Network Embedding'] | main_RSDNE.py compared_methods/rsdne_light.py basic_functions.py compared_methods/matrix_decomposition.py compared_methods/mfdw.py label_utils_functions.py compared_methods/label_relax_single.py classify.py evaluate_embeddings_with_split symmetrize read_graph_as_matrix TopKRanker read_node_label Classifier completely_i... | zhengwang100/RSDNE-python | 4,311 |
zhengzhe97/yolactpaddle | ['real time instance segmentation', 'instance segmentation', 'semantic segmentation'] | ['YOLACT++: Better Real-time Instance Segmentation'] | ppdet/modeling/tests/__init__.py ppdet/modeling/architectures/cascade_rcnn_cls_aware.py ppdet/data/source/widerface.py tools/cpp_infer.py ppdet/modeling/tests/decorator_helper.py ppdet/data/__init__.py ppdet/modeling/backbones/hrfpn.py ppdet/modeling/tests/test_architectures.py ppdet/modeling/losses/yolo_loss.py ppdet/... | zhengzhe97/yolactpaddle | 4,312 |
zhentaoshi/Boosted_HP_filter | ['time series'] | ['Boosting: Why You Can Use the HP Filter'] | python/BoostedHP.py BoostedHP var T print diag inv dot vstack warning eye zeros sum array log len | zhentaoshi/Boosted_HP_filter | 4,313 |
zhenxun-zhuang/SGD-Exponential-Cosine-Stepsize | ['stochastic optimization'] | ['A Second look at Exponential and Cosine Step Sizes: Simplicity, Adaptivity, and Performance'] | image classification/src/utils.py nlp/src/train_nli.py image classification/src/data_loader.py image classification/src/sgd_lr_decay.py image classification/src/evaluate.py image classification/src/main.py nlp/src/optim/bpgrad.py image classification/src/load_args.py image classification/src/cifar10_resnet.py nlp/draw_... | zhenxun-zhuang/SGD-Exponential-Cosine-Stepsize | 4,314 |
zhenxun-zhuang/SGD-Exponential-Stepsize | ['stochastic optimization'] | ['Adam: A Method for Stochastic Optimization', 'A Second look at Exponential and Cosine Step Sizes: Simplicity, Adaptivity, and Performance'] | image classification/src/utils.py nlp/src/train_nli.py image classification/src/data_loader.py image classification/src/sgd_lr_decay.py image classification/src/evaluate.py image classification/src/main.py nlp/src/optim/bpgrad.py image classification/src/load_args.py image classification/src/cifar10_resnet.py nlp/draw_... | zhenxun-zhuang/SGD-Exponential-Stepsize | 4,315 |
zhenzhenxiang/SemanticsSharing | ['scene parsing', 'semantic segmentation', 'autonomous driving'] | ['Boosting Real-Time Driving Scene Parsing with Shared Semantics'] | light/model/base_model/mobilenetv3.py light/map/pwcnet_args.py light/model/base.py light/data/yuanqu.py scripts/train.py light/nn/loss.py scripts/test.py light/map/warp_xy.py light/utils/logger.py light/map/pwcnet_modules.py light/data/__init__.py light/utils/metric.py pre_train/optical_flow/logger.py light/model/base_... | zhenzhenxiang/SemanticsSharing | 4,316 |
zhihou7/VCL | ['human object interaction detection'] | ['Visual Compositional Learning for Human-Object Interaction Detection', 'iCAN: Instance-Centric Attention Network for Human-Object Interaction Detection'] | lib/ult/config.py scripts/feats_tsne.py lib/ult/tools.py scripts/extract_HO_feature.py lib/ult/Generate_HICO_detection.py lib/models/train_Solver_VCOCO_MultiGPU.py scripts/_init_paths.py lib/ult/vsrl_eval.py tools/Test_VCL_ResNet_HICO.py lib/models/train_Solver_HICO_MultiGPU.py misc/Object_Detector.py lib/models/test_V... | zhihou7/VCL | 4,317 |
zhijieW94/ETNet | ['style transfer'] | ['ETNet: Error Transition Network for Arbitrary Style Transfer'] | train.py stylize.py network/ops.py train_model.py network/vgg_normalised.py data_processing/data_processing.py inference.py utils.py network/Model.py Inference main predict_test train Train mkdir_output_test get_file_list get_config mkdir_output_train check_folder write_config load_data_testing save_images ImageData in... | zhijieW94/ETNet | 4,318 |
zhijing-jin/ARTS_TestSet | ['sentiment analysis', 'aspect based sentiment analysis'] | ['Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis'] | code/main.py code/utils.py code/strategies.py get_args revTgt revNon addDiff Utils parse_args add_argument ArgumentParser join print len untokenize isupper add set upper Utils reverse tokenize_term_list tokenize range append enumerate join print len exaggerate untokenize isupper upper Utils reverse tokenize_term_list t... | zhijing-jin/ARTS_TestSet | 4,319 |
zhixinshu/DeformingAutoencoders-pytorch | ['unsupervised facial landmark detection'] | ['Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance'] | DAENet.py train_InstinsicDAE_CelebA.py DAENet_InstanceNorm.py train_DAE_CelebA.py DAEDataLoader.py is_image_file intersect duplicates resize_loader DAEImageFolderResize make_dataset_singlefolder Dense_Encoders_Intrinsic waspEncoder BiasReduceLoss Dense_DecodersIntegralWarper2 DecodersIntegralWarper2 DenseTransitionBloc... | zhixinshu/DeformingAutoencoders-pytorch | 4,320 |
zhiyongc/Graph_Convolutional_LSTM | ['traffic prediction', 'graph attention'] | ['Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting', 'Graph Neural Network for Traffic Forecasting: A Survey'] | Code_V1/Train_Validate.py Code_V1/Modules.py Code_V1/Main.py Code_V1/Models.py PrepareDataset LSTM RNN GraphConvolutionalLSTM FilterLinear TestLSTM TrainRNN TrainLSTM TestRNN TestGraphConvolutionalLSTM TrainGraphConvolutionalLSTM_Proposed TrainGraphConvolutionalLSTM int arange shuffle DataLoader floor TensorDataset app... | zhiyongc/Graph_Convolutional_LSTM | 4,321 |
zhiyongc/Stacked_Bidirectional_Unidirectional_LSTM | ['time series'] | ['Deep Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction'] | Keras/Main.py PyTorch/Models.py PyTorch/TrainModel.py PyTorch/Main.py Keras/Models.py MeasurePerformance SplitData Get_Data_Label_Aux_Set train_Bi_LSTM LossHistory train_2_Bi_LSTM_mask train_2_Bi_LSTM PrepareDataset LSTM BiLSTM Train_Multi_Bi_LSTM TrainLSTM Train_BiLSTM strftime append float array range values len int ... | zhiyongc/Stacked_Bidirectional_Unidirectional_LSTM | 4,322 |
zhou-1/COVISS-Lab-Research | ['semantic segmentation'] | ['FreeLabel: A Publicly Available Annotation Tool based on Freehand Traces'] | OpenCV/Python/Gui Features/MouseAsAPaint-Brush/Third.py OpenCV/Python/Gui Features/Image Thresholding/Thresholding.py OpenCV/Python/Gui Features/TrackbarastheColorPalette/Forth.py OpenCV/Python/Gui Features/DrawFunctions/Second.py OpenCV/Python/Gui Features/BasicImageProcesses/First.py OpenCV/Python/Gui Features/Morpho... | zhou-1/COVISS-Lab-Research | 4,323 |
zhougr1993/DeepInterestNetwork | ['click through rate prediction'] | ['Deep Interest Network for Click-Through Rate Prediction'] | wide_deep/train.py deepFM/model.py din/model.py utils/2_remap_id.py pnn/train.py wide_deep/model.py pnn/build_dataset.py deepFM/build_dataset.py din/Dice.py pnn/input.py din/model_dice.py base_model/train.py pnn/model.py din/build_dataset.py wide_deep/input.py base_model/input.py din/train.py utils/1_convert_pd.py deep... | zhougr1993/DeepInterestNetwork | 4,324 |
zhougr1993/Rocket-Launching | ['click through rate prediction'] | ['Rocket Launching: A Universal and Efficient Framework for Training Well-performing Light Net'] | utils.py cvtransforms.py rocket_bottom.py rocket_interval.py Pad CenterCrop RandomSizedCrop Scale RandomCrop Normalize RandomHorizontalFlip main resnet create_dataset main resnet create_dataset normalize data_parallel batch_norm bnstats bnparams linear_params distillation conv_params at cast flatten_stats rocket_distil... | zhougr1993/Rocket-Launching | 4,325 |
zhourunlong/mc-gan | ['style transfer'] | ['Multi-Content GAN for Few-Shot Font Style Transfer'] | options/train_options.py data/image_folder.py train_Stack.py data/data_loader.py train.py util/kernel_size.py util/image_pool.py util/png.py test_Stack.py models/base_model.py models/models.py models/StackGAN_model.py util/html.py data/base_data_loader.py options/base_options.py test.py util/util.py util/plot_loss.py t... | zhourunlong/mc-gan | 4,326 |
zhoushengisnoob/HAHE | ['network embedding'] | ['HAHE: Hierarchical Attentive Heterogeneous Information Network Embedding'] | meta_atten.py HAHE.py utils.py nbr_atten.py HOMO_train HAHE_train Hete_average Hete_self Hete_MLP2_atten HomoAttention make_attribute normalize_adj adj2Lap multilabel_f1 get_label get_adj_mat hamming_score get_label2 get_adj print zeros normalize set set intersection append float union range len zeros_like average_prec... | zhoushengisnoob/HAHE | 4,327 |
zhr1201/CNN-for-single-channel-speech-enhancement | ['speech enhancement'] | ['A Fully Convolutional Neural Network for Speech Enhancement'] | audio_reader.py SENN_train.py SENN_audio_eval.py SENN.py find_files Audio_reader variable_summaries conv2d SE_NET bias_variable weight_variable stft train append join filter walk truncated_normal constant int window copy floor ceil zeros float array append len val_speech_dir Saver save Session run all_variables speech_... | zhr1201/CNN-for-single-channel-speech-enhancement | 4,328 |
zhuchen03/mva | ['stochastic optimization'] | ['Adam: A Method for Stochastic Optimization'] | nmt_nlu/fairseq/data/legacy/__init__.py nmt_nlu/fairseq/models/lightconv.py nmt_nlu/fairseq/tasks/language_modeling.py nmt_nlu/fairseq/models/nat/nonautoregressive_transformer.py nmt_nlu/examples/speech_recognition/utils/wer_utils.py nmt_nlu/fairseq/optim/fused_lamb.py nmt_nlu/fairseq/modules/learned_positional_embeddi... | zhuchen03/mva | 4,329 |
zhunzhong07/CamStyle | ['person re identification', 'data augmentation'] | ['Camera Style Adaptation for Person Re-identification'] | CycleGAN-for-CamStyle/test.py reid/datasets/duke.py reid/evaluation_metrics/ranking.py reid/models/__init__.py CycleGAN-for-CamStyle/datasets/make_dataset_aligned.py reid/utils/serialization.py CycleGAN-for-CamStyle/models/networks.py CycleGAN-for-CamStyle/util/util.py CycleGAN-for-CamStyle/options/train_options.py Cyc... | zhunzhong07/CamStyle | 4,330 |
zhyack/SCC | ['text generation'] | ['Automated Chess Commentator Powered by Neural Chess Engine'] | chess-agent/alpha-zero-chess/pytorch_classification/models/imagenet/resnext.py data/surface/get_raw.py chess-agent/alpha-zero-chess/pytorch_classification/models/cifar/preresnet.py data/reform/form2sac.py chess-agent/alpha-zero-chess/pytorch_classification/utils/progress/progress/spinner.py data/mycrawler/crawler_utils... | zhyack/SCC | 4,331 |
zide05/CDEvalSumm | ['text summarization'] | ['CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems'] | Data-bias-metrics/metrics/util.py Data-bias-metrics/metrics/rouge_functions.py Data-bias-metrics/metrics/utils/merge_dict.py Data-bias-metrics/all_metrics.py Data-bias-metrics/metrics/density.py Data-bias-metrics/metrics/novelty_repetition_unk.py Data-bias-metrics/metrics/sent_fusion.py Data-bias-metrics/metrics/ssi_fu... | zide05/CDEvalSumm | 4,332 |
zijundeng/BDRAR | ['shadow detection'] | ['Bidirectional Feature Pyramid Network with Recurrent Attention Residual Modules for Shadow Detection'] | train.py resnext/resnext101_regular.py joint_transforms.py resnext/__init__.py resnext/resnext_101_32x4d_.py dataset.py misc.py config.py resnext/config.py infer.py model.py make_dataset ImageFolder main Resize RandomHorizontallyFlip Compose crf_refine _sigmoid AvgMeter check_mkdir BDRAR _AttentionModule main train Res... | zijundeng/BDRAR | 4,333 |
zillow/luminaire | ['time series', 'anomaly detection'] | ['Root Cause Detection Among Anomalous Time Series Using Temporal State Alignment', 'Building an Automated and Self-Aware Anomaly Detection System'] | luminaire/exploration/__init__.py luminaire/model/base_model.py luminaire/model/window_density.py luminaire/tests/conftest.py docs/conf.py luminaire/model/model_utils.py luminaire/tests/test_models.py luminaire/model/lad_filtering.py luminaire/optimization/hyperparameter_optimization.py luminaire/__init__.py luminaire/... | zillow/luminaire | 4,334 |
zisianw/FaceBoxes.PyTorch | ['face detection'] | ['FaceBoxes: A CPU Real-time Face Detector with High Accuracy'] | train.py data/__init__.py utils/nms_wrapper.py models/faceboxes.py data/wider_voc.py test.py layers/functions/prior_box.py layers/modules/__init__.py layers/modules/multibox_loss.py utils/build.py data/data_augment.py layers/__init__.py utils/nms/py_cpu_nms.py utils/box_utils.py data/config.py utils/timer.py remove_pre... | zisianw/FaceBoxes.PyTorch | 4,335 |
ziyin-dl/word-embedding-dimensionality-selection | ['word embeddings'] | ['On the Dimensionality of Word Embedding'] | matrix/word2vec_matrix.py matrix/ppmi_lsa_matrix.py matrix/signal_matrix_factory.py test/test_tokenizer.py matrix/glove_matrix.py utils/reader.py utils/tokenizer.py matrix/PIP_loss_calculator.py main.py matrix/signal_matrix.py GloVeMatrix MonteCarloEstimator LSAMatrix SignalMatrixFactory Word2VecMatrix TestRawTextReade... | ziyin-dl/word-embedding-dimensionality-selection | 4,336 |
zjonijordan/DeepFaceLab | ['face swapping'] | ['DeepFaceLab: Integrated, flexible and extensible face-swapping framework'] | models/Model_XSeg/Model.py mainscripts/VideoEd.py XSegEditor/QImageDB.py merger/MergerScreen/MergerScreen.py mainscripts/dev_misc.py merger/InteractiveMergerSubprocessor.py samplelib/SampleGeneratorImageTemporal.py core/leras/models/__init__.py samplelib/Sample.py core/joblib/__init__.py core/imagelib/estimate_sharpnes... | zjonijordan/DeepFaceLab | 4,337 |
zju3dv/RVL-Dynamic | ['camera localization', 'visual localization'] | ['Prior Guided Dropout for Robust Visual Localization in Dynamic Environments'] | common/Analyser.py common/basic_layer.py common/utils.py experiments/config.py dataset_loader/cambridge.py dataset_loader/robotcar_sdk/image.py mapnet/train.py dataset_loader/composite.py common/img_utils.py dataset_loader/robotcar_sdk/transform.py dataset_loader/robotcar_sdk/project_laser_into_camera.py attentionmapne... | zju3dv/RVL-Dynamic | 4,338 |
zju3dv/snake | ['object localization', 'real time instance segmentation', 'instance segmentation', 'semantic segmentation'] | ['Deep Snake for Real-Time Instance Segmentation'] | lib/datasets/coco/snake.py lib/utils/snake/active_spline.py lib/utils/base_utils.py external/cityscapesscripts/preparation/json2instanceImg.py lib/datasets/coco_test/snake.py lib/datasets/cityscapes/augmentation.py lib/train/trainers/ct_rcnn.py lib/train/__init__.py lib/datasets/cityscapes/snake.py external/cityscapess... | zju3dv/snake | 4,339 |
zjunlp/DiagnoseRE | ['relation extraction'] | ['On Robustness and Bias Analysis of BERT-based Relation Extraction'] | Q1/en_core_web_sm-2.3.1/setup.py Q1/random_perturb.py Q3/test_cf.py Q5/only_entity.py train.py Q2/filter_correct.py data/tacred/get_rel2id.py Q4/generate_rules.py Q5/select_debiased.py test.py Q5/mask_random.py Q2/victim.py Q2/attack.py Q3/train_cf.py Q3/fix_length.py data/tacred/convert_json.py Q1/en_core_web_sm-2.3.1... | zjunlp/DiagnoseRE | 4,340 |
zl2860/InterpretableDL | ['data augmentation'] | ['TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning'] | models/SiameseNet.py utils/visualize.py models/BasicModule.py detail/CheckPredict.py models/ContrastLoss.py config.py data/dataset.py models/AD_desgined.py main.py models/vgg16.py data/dataset_ADNI.py models/models.py DefaultConfig val_class val train train_class check_target_value create_train_val check_coverage visua... | zl2860/InterpretableDL | 4,341 |
zlf1993/cy | ['instance segmentation', 'semantic segmentation'] | ['EOLO: Embedded Object Segmentation only Look Once'] | CenterNet.py coco/Taco.py utils/utils.py mobilenet_v3_block.py yolov3_layer_utils.py utils/tfrecord_voc_utils.py utils/tfrecord_imagenet_utils.py train.py pycocotools/mask.py pycocotools/coco.py utils/test_voc_utils.py utils/imagenet_classname_encoder.py mobilenet_v3_small.py coco/coco.py pycocotools/__init__.py test2.... | zlf1993/cy | 4,342 |
zongdaoming/point-cloud-completition | ['data visualization'] | ['ShapeNet: An Information-Rich 3D Model Repository'] | pytorch/utils/chamfer/dist_chamfer.py tensorflow/main.py shared/data_utils.py pytorch/utils/parse_args.py pytorch/models/PointNetFCAE.py pytorch/utils/emd/build.py pytorch/utils/emd/_ext/my_lib/__init__.py pytorch/utils/emd/functions/emd.py pytorch/_init_paths.py tensorflow/models/PCN.py tensorflow/models/common.py ten... | zongdaoming/point-cloud-completition | 4,343 |
zouchangjie/T-GCN-------- | ['traffic prediction'] | ['T-GCN: A Temporal Graph ConvolutionalNetwork for Traffic Prediction'] | visualization.py main.py tgcn.py input_data.py utils.py gru.py baselines.py aa.py gcn.py preprocess_data evaluation GCN GRUCell preprocess_data load_los_data load_sz_data TGCNz evaluation tgcnCell calculate_laplacian sparse_to_tuple weight_variable_glorot normalized_adj plot_result plot_error int mat append range len v... | zouchangjie/T-GCN-------- | 4,344 |
zphang/usc_dae | ['text summarization', 'denoising', 'sentence compression'] | ['Unsupervised Sentence Compression using Denoising Auto-Encoders'] | src/tests/test_conf.py src/models/attention.py sample_scripts/dae_json.py src/tests/test_data.py src/utils/misc.py src/models/top.py src/utils/devices.py src/models/nli.py sample_scripts/simple_inference.py src/utils/logs.py src/models/length_control.py src/utils/conf.py src/models/generators.py src/models/encoders.py ... | zphang/usc_dae | 4,345 |
zsef123/PointRend-PyTorch | ['instance segmentation', 'semantic segmentation'] | ['PointRend: Image Segmentation as Rendering'] | model/pointrend.py train.py model/deeplab.py model/resnet.py model/sampling_points.py infer.py utils/metrics.py datas/__init__.py datas/transforms.py utils/gpus.py model/__init__.py configs/parser.py main.py infer amp_init parse_args set_loggging train step arg_parse Parser YamlStructure RandomFlip ToTensor Compose Res... | zsef123/PointRend-PyTorch | 4,346 |
zswang666/PnP-Depth | ['depth estimation'] | ['Plug-and-Play: Improve Depth Estimation via Sparse Data Propagation'] | sparse-to-dense.pytorch/dataloaders/dataloader.py sparse-to-dense.pytorch/utils.py Super-LiDAR/losses.py sparse-to-dense.pytorch/metrics.py sparse-to-dense.pytorch/main_pnp.py Super-LiDAR/kitti_depth_to_tfrecord.py sparse-to-dense.pytorch/main.py sparse-to-dense.pytorch/dataloaders/kitti_dataloader.py Super-LiDAR/datal... | zswang666/PnP-Depth | 4,347 |
ztoString/CRNN_CTC_OCR_TensorFlow | ['optical character recognition', 'scene text recognition'] | ['An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition'] | tools/train_crnn_ctc.py data/create_synth90k_tfrecord.py crnn_model/model.py tools/inference_crnn_ctc.py tools/eval_crnn_ctc.py tools/create_crnn_ctc_tfrecord.py CRNNCTCNetwork _string_to_int _int64_feature _write_tfrecord _convert_dataset _bytes_feature main _string_to_int _int64_feature _write_tfrecord _convert_datas... | ztoString/CRNN_CTC_OCR_TensorFlow | 4,348 |
zwenwang/CTPN_Pytorch | ['optical character recognition', 'scene text detection', 'scene text recognition'] | ['An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition', 'Detecting Text in Natural Image with Connectionist Text Proposal Network'] | Dataset/__init__.py proposal_connector/text_proposal_graph_builder.py Net/__init__.py generate_config.py other/trans_MSRA_TD500.py train.py Net/loss.py val_func.py Dataset/dataset.py Net/im2col.py Dataset/port/__init__.py Net/tag_anchor.py Dataset/port/for_icdar2015.py Dataset/generate_gt_anchor.py proposal_connector/_... | zwenwang/CTPN_Pytorch | 4,349 |
zwxu064/MPLayers | ['denoising', 'semantic segmentation'] | ['Fast and Differentiable Message Passing on Pairwise Markov Random Fields'] | MPLayers/main.py trash/main_old.py dataloaders/custom_transforms.py utils/model_init.py pytorch/test_multi_batch.py modeling/sync_batchnorm/unittest.py pytorch/MP_module_hard_soft.py dataloaders/datasets/pascal.py mean_field.py mpnet.py MPLayers/MP_module_manual.py utils/metrics.py pytorch/test_parallel_grad.py utils/s... | zwxu064/MPLayers | 4,350 |
zxytim/EAST | ['optical character recognition', 'scene text detection', 'curved text detection'] | ['EAST: An Efficient and Accurate Scene Text Detector'] | icdar.py eval.py nets/resnet_v1.py locality_aware_nms.py multigpu_train.py nets/resnet_utils.py model.py get_images sort_poly resize_image detect main generator get_images load_annoataion line_verticle shrink_poly crop_area polygon_area point_dist_to_line get_batch fit_line restore_rectangle_rbox line_cross_point gener... | zxytim/EAST | 4,351 |
zyasjtu/CNN-RNN-CTC | ['optical character recognition', 'scene text recognition'] | ['An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition'] | train.py valid.py crnn_model.py data_processor.py CRNN next_batch __write_list __int_to_char __char_to_int dense_convert get_data split_data __sparse_convert train cal_acc valid append list keys list asarray __char_to_int extend zip range enumerate len join int ndarray astype float32 shape sample zeros imread enumerate... | zyasjtu/CNN-RNN-CTC | 4,352 |
zyasjtu/EAST | ['optical character recognition', 'scene text detection', 'curved text detection'] | ['EAST: An Efficient and Accurate Scene Text Detector'] | east_model.py resnet_v1.py resnet_utils.py train.py east_utils.py test.py data_processor.py valid.py shrink_pts shrink_edge pt_in_quad generate_gt write_lines reorder_pts read_ant split_data next_batch read_lines restore_rectangle dist_to_line resize_with_padding EAST standard_nms la_nms weighted_merge intersection Blo... | zyasjtu/EAST | 4,353 |
zyf12389/GC-Net | ['stereo lidar fusion'] | ['End-to-End Learning of Geometry and Context for Deep Stereo Regression'] | read_sceneflow.py gc_net.py read_data.py python_pfm.py utils.py readFile.py main.py read_testFile.py GC_NET ThreeDConv GcNet BasicBlock loss main train normalizeRGB test readPFM writePFM sceneDisp format_time init_params progress_bar get_mean_and_std pow sqrt sum mul L1Loss data mul imwrite zero_grad copy_ DataLoader n... | zyf12389/GC-Net | 4,354 |
zyf12389/LayoutGAN-Alpha | ['scene generation'] | ['LayoutGAN: Generating Graphic Layouts with Wireframe Discriminators'] | model.py layoutgan.py dataset.py Dataset Generator Attention Discriminator real_loss fake_loss Log print write flush ones squeeze size BCEWithLogitsLoss crit size squeeze zeros BCEWithLogitsLoss crit | zyf12389/LayoutGAN-Alpha | 4,355 |
zykls/performative-prediction | ['stochastic optimization'] | ['Stochastic Optimization for Performative Prediction'] | experiments/icml2020/data_prep.py experiments/neurips2020/strategic.py experiments/icml2020/strategic.py experiments/neurips2020/data_prep.py experiments/neurips2020/logistic_regression.py experiments/icml2020/optimization.py load_data sigmoid logistic_regression evaluate_loss best_response load_data evaluate_loss run_... | zykls/performative-prediction | 4,356 |
zzwells/jdd2018-population-forecast | ['traffic prediction'] | ['Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction'] | train.py attention.py data_process.py model.py features.py Attention FeatureFactory STDNModel rmsle STDNTrainer CustomStopper log | zzwells/jdd2018-population-forecast | 4,357 |
zzzace2000/dropout-feature-ranking | ['time series'] | ['Dropout Feature Ranking for Deep Learning Models'] | exp/DFRdatasets/data_utils.py arch/sensitivity/DNetBase.py exp/DFRdatasets/dataloaders/ARCENE.py exp/DFRdatasets/fig_utils.py exp/DFRdatasets/feature_utils.py arch/sensitivity/DFSNet.py exp/DFRdatasets/dataloaders/OnlineNewsPopularityLoader.py exp/DFRdatasets/dataloaders/MIMIC_new.py exp/DFRdatasets/simulate.py exp/DFR... | zzzace2000/dropout-feature-ranking | 4,358 |
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