master-thesis/util/commit_files.csv

project,ml_files,no_ml_files,ml_dirs,no_ml_dirs,ml_files_ratio,no_ml_files_ratio,ml_dirs_ratio,no_ml_dirs_ratio
1adrianb/face-alignment,"{'test/test_utils.py', 'Dockerfile', 'test/assets/aflw-test.jpg', 'setup.py', 'face_alignment/detection/sfd/sfd_detector.py', 'face_alignment/detection/blazeface/detect.py', 'face_alignment/api.py', 'face_alignment/utils.py', 'face_alignment/detection/sfd/detect.py', 'face_alignment/models.py', 'face_alignment/detection/blazeface/utils.py'}","{'Dockerfile', 'setup.py', 'face_alignment/detection/dlib/dlib_detector.py', 'face_alignment/__init__.py', '.travis.yml', 'face_alignment/detection/blazeface/__init__.py', 'face_alignment/models/__init__.py', 'face_alignment/detection/core.py', '.gitattributes', 'face_alignment/models/fan.py', 'test/test_utils.py', 'face_alignment/detection/sfd/net_s3fd.py', 'test/facealignment_test.py', 'test/assets/grass.jpg', 'face_alignment/detection/sfd/detect.py', 'face_alignment/detection/blazeface/utils.py', 'face_alignment/detection/blazeface/net_blazeface.py', 'tox.ini', 'conda/meta.yaml', 'examples/detect_landmarks_in_image.py', 'face_alignment/detection/sfd/bbox.py', 'README.md', 'face_alignment/detection/sfd/sfd_detector.py', 'demo.ipynb', 'conda/conda_upload.sh', 'setup.cfg', 'face_alignment/detection/blazeface/blazeface_detector.py', 'face_alignment/detection/blazeface/detect.py', 'face_alignment/api.py', 'face_alignment/utils.py', 'requirements.txt', 'face_alignment/models.py', 'face_alignment/models/resnet.py'}","{'test/assets', 'face_alignment', 'test', 'face_alignment/detection/sfd', 'face_alignment/detection/blazeface'}","{'face_alignment/detection/dlib', 'test/assets', 'face_alignment', 'face_alignment/models', 'test', 'face_alignment/detection/sfd', 'examples', 'face_alignment/detection/blazeface', 'face_alignment/detection', 'conda'}",0.3235294117647059,0.9705882352941176,0.5,1.0
afeinstein20/eleanor,"{'make_postcards.py', 'eleanor/ffi.py', 'eleanor/mast.py', 'eleanor/update.py', 'eleanor/targetdata.py', 'make_guide.py', '.ipynb_checkpoints/Untitled-checkpoint.ipynb', 'setup.py', 'eleanor/visualize.py', '.gitignore', 'eleanor/models.py', 'eleanor/source.py', 'ellie/ellie.py', 'eleanor/maxsector.py', 'make_background.py'}","{'ELLIE/figures/219870537.mp4', 'eleanor/mast.py', 'ELLIE/figures/229669377.fits', 'docs/Makefile', 'build/lib/ellie/click_for_lc_website.py', 'eleanor/version.py', 'eleanor/crossmatch.py', 'metadata/s0011/cbv_components_s0011_0001_0001.txt', 'MANIFEST.in', 'docs/getting_started/faq.rst', 'ELLIE/figures/TIC219870537_tpf.fits', 'docs/sphinx_rtd_theme/static/fonts/fontawesome-webfont.svg', '.gitattributes', 'metadata/s0012/cbv_components_s0012_0001_0003.txt', 'metadata/s0011/cbv_components_s0011_0002_0003.txt', 'docs/sphinx_rtd_theme/static/css/theme.css', 'metadata/s0013/cbv_components_s0013_0002_0001.txt', 'ELLIE/logo.py', 'eleanor/update.py', 'metadata/s0015/cbv_components_s0015_0002_0003.txt', 'ellie/offsets_3-1.mp4', 'ELLIE/ellie.py', 'ELLIE/figures/219870537_tpf.fits', 'docs/sphinx_rtd_theme/static/js/modernizr.min.js', 'docs/sphinx_rtd_theme/static/js/theme.js', 'eleanor/postcard.py', 'metadata/s0012/target_s0012.fits', 'docs/sphinx_rtd_theme/__pycache__/__init__.cpython-36.pyc', 'metadata/s0011/cbv_components_s0011_0001_0003.txt', 'build/lib/ellie/testing.py', 'eleanor/tests/test_source.py', 'metadata/s0013/cbv_components_s0013_0004_0002.txt', '.ci/conda.sh', 'build/lib/ellie/planetExample.py', 'notebooks/eleanor_tesscut_demo.ipynb', 'docs/sphinx_rtd_theme/static/fonts/fontawesome-webfont.ttf', 'docs/sphinx_rtd_theme/static/fonts/RobotoSlab-Bold.ttf', 'ELLIE/figures/TIC198593129_tpf.fits', 'ELLIE/hotJupiters.txt', 'ellie/source.py', 'eleanor/make_postcards.py', 'eleanor/ffi.py', 'metadata/s0011/cbv_components_s0011_0002_0002.txt', 'ellie/postcard.py', 'eleanor/tests/test_tpfs.py', 'metadata/s0013/cbv_components_s0013_0001_0003.txt', 'ellie/__init__.py', 'metadata/s0013/cbv_components_s0013_0003_0003.txt', 'ellie/pm.py', 'docs/sphinx_rtd_theme/static/fonts/Inconsolata-Regular.ttf', 'ELLIE/figures/198593129_tpf.fits', 'docs/sphinx_rtd_theme/static/fonts/Lato-Regular.ttf', 'metadata/s0012/cbv_components_s0012_0004_0004.txt', 'docs/getting_started/installation.rst', 'docs/sphinx_rtd_theme/static/fonts/Lato-Bold.ttf', 'ellie/ellie.py', 'CODE_OF_CONDUCT.md', 'ELLIE/figures/229669377_tpf.fits', 'ELLIE/figures/longEB.gif', 'metadata/s0014/quality_s0014.txt', 'metadata/s0011/cadences_s0011.txt', '.cache/v/cache/lastfailed', 'ELLIE/figures/219870537_customAp.mp4', 'metadata/s0013/cadences_s0013.txt', 'setup.py', 'metadata/s0011/cbv_components_s0011_0004_0004.txt', 'dist/ellie-1.0-py3.6.egg', 'metadata/s0011/cbv_components_s0011_0003_0004.txt', 'ELLIE/figures/keynoteEllie.png', 'docs/sphinx_rtd_theme/static/fonts/fontawesome-webfont.woff', 'build/lib/ellie/logo.py', '__pycache__/make_postcards.cpython-36.pyc', 'ELLIE/figures/logo.gif', 'ellie/version.py', 'metadata/s0013/cbv_components_s0013_0001_0004.txt', 'eleanor/tests/test_ffi.py', 'metadata/s0015/quality_s0015.txt', 'eleanor/track_pm_centroid.py', 'metadata/s0012/cbv_components_s0012_0001_0001.txt', 'build/lib/ellie/track_pm_centroid.py', 'ELLIE/testing.py', 'metadata/s0012/cbv_components_s0012_0002_0002.txt', 'metadata/s0013/quality_s0013.txt', 'metadata/s0012/cbv_components_s0012_0002_0003.txt', 'eleanor/tests/testing.py', 'metadata/s0015/cbv_components_s0015_0004_0003.txt', 'metadata/s0012/cbv_components_s0012_0004_0003.txt', 'docs/sphinx_rtd_theme/static/fonts/RobotoSlab-Regular.ttf', 'metadata/s0014/cadences_s0014.txt', 'fill_grid.cpp', 'metadata/s0011/cbv_components_s0011_0001_0002.txt', 'metadata/s0015/cbv_components_s0015_0003_0004.txt', 'tests/testing.py', 'ELLIE/figures/229669377.mp4', '__pycache__/testing.cpython-36-PYTEST.pyc', 'ELLIE/figures/customApExample.gif', 'ellie/targetdata.py', 'docs/getting_started/overview.rst', 'README.md', 'build/lib/ellie/__init__.py', 'experiments/quick_psf_demo.ipynb', 'metadata/s00
BrikerMan/Kashgari,"{'kashgari/embeddings/__init__.py', 'kashgari/processors/classification_processor.py', 'docs/requirements.txt', 'kashgari/processors/__init__.py', 'kashgari/macros.py', 'tests/labeling/test_cnn_lstm_model.py', 'docs/api.rst', 'setup.py', 'kashgari/migeration.py', 'kashgari/tasks/scoring/models.py', '.circleci/config.yml', '.travis.yml', 'kashgari/layers/kmax_pool_layer.py', 'kashgari/processors/scoring_processor.py', 'tests/scoring/test_bi_lstm_model.py', 'kashgari/tasks/seq_labeling/models.py', 'mkdocs/docs/api/tasks.classification.md', 'kashgari/embeddings/bert_embedding.py', 'mkdocs/mkdocs.yml', 'kashgari/tasks/seq_labeling/blstm_model.py', 'kashgari/tasks/scoring/__init__.py', 'kashgari/embeddings/stacked_embedding.py', 'mkdocs/docs/embeddings/bert-embedding.md', 'kashgari/utils/helper.py', 'tests/test_embeddings.py', 'kashgari/tasks/seq_labeling/cnn_lstm_model.py', 'kashgari/tasks/labeling/experimental.py', 'kashgari/tasks/classification/models.py', 'tests/classification/test_dpcnn.py', 'kashgari/tasks/classification/base_model.py', 'kashgari/embeddings/embeddings.py', 'kashgari/embeddings/base_embedding.py', 'kashgari/callbacks.py', 'kashgari/tasks/classification/deep_models.py', 'tests/test_classifier_models.py', 'docs/index.rst', 'kashgari/pre_processors/base_processor.py', 'mkdocs/docs/about/release-notes.md', 'mkdocs/docs/tutorial/text-classification.md', 'kashgari/tasks/labeling/base_model.py', 'kashgari/layers/att_wgt_avg_layer.py', 'mkdocs/docs/index.md', 'kashgari/tasks/scoring/base_model.py', 'kashgari/tasks/classification/__init__.py', 'kashgari/tasks/base_model.py', 'README.md', 'mkdocs/docs/tutorial/text-labeling.md', 'docs/tutorial/deal_with_numeric_features.md', 'kashgari/__init__.py', 'kashgari/tasks/classification/shadow_models.py', 'tests/corpus.py', 'kashgari/tasks/seq_labeling/blstm_crf_model.py', 'kashgari/tasks/labeling/models.py', 'kashgari/version.py', 'tests/classification/test_bi_lstm.py', 'kashgari/processors/base_processor.py', 'mkdocs/docs/tutorial/text-scoring.md', 'kashgari/embeddings/gpt_2_embedding.py', 'tests/scoring/__init__.py', 'requirements.dev.txt', 'tests/embedding/test_stacked_embedding.py', '.gitignore', 'mkdocs/readme.md', 'kashgari/embeddings/numeric_feature_embedding.py', 'requirements.txt', 'tests/test_processor.py', 'mkdocs/docs/FAQ.md', 'kashgari/tasks/classification/dpcnn_model.py'}","{'kashgari/tasks/labeling/bi_lstm_crf_model.py', 'docs/advance-use/tensorflow-serving.md', 'kashgari/processors/classification_processor.py', 'docs/embeddings/index.md', 'docs/requirements.txt', 'mkdocs/docs/tutorial/language_embedding.md', 'kashgari/migeration.py', 'tests/scoring/test_bi_lstm_model.py', 'MANIFEST.in', 'kashgari/tasks/classification/cnn_lstm_model.py', 'kashgari/layers/kmax_pool_layer.py', 'docs/embeddings/numeric-features-embedding.md', 'kashgari/embeddings/word_embedding.py', 'kashgari/tasks/seq_labeling/models.py', 'kashgari/utils/crf/crf.py', 'CHANGELOG.md', 'mkdocs/docs/api/tasks.classification.md', 'mkdocs/mkdocs.yml', 'kashgari/tasks/seq_labeling/blstm_model.py', 'kashgari/tasks/classification/bi_gru_model.py', 'legacy_docs/readme.md', 'examples/run_flask_api.py', 'mkdocs/docs/CONTRIBUTING.md', 'tests/test_generator.py', 'tests/test_labeling/test_bi_lstm_model.py', 'tests/data/test_bert_checkpoint/bert_config.json', 'kashgari/processors/abc_processor.py', 'docs/apis/embeddings.rst', 'mkdocs/docs/CNAME', 'kashgari/utils/data.py', 'kashgari/tokenizers/bert_tokenizer.py', 'kashgari/processors/class_processor.py', 'kashgari/tasks/seq_labeling/cnn_lstm_model.py', 'test.sh', 'scripts/docs-lint.sh', 'kashgari/tasks/classification/base_model.py', 'mkdocs/docs/static/css/extra.css', 'mkdocs/docs/CHANGELOG.md', 'kashgari/tasks/base/base_model.py', 'mkdocs/docs/tutorial/text-classification.md', 'mkdocs/docs/about/contributing.md', 'scripts/docs-live.sh', 'mkdocs/docs/static/js/baidu-static.js', 'kashgari/tasks/labeling/base_model.py', 'tests/data/test_bert_checkpoint/bert_model.ckpt.data-00000-of-00001', 'kashgari/tasks/scoring/base_model.py', 'tests/tes
CamDavidsonPilon/lifelines,"{'experiments/detection_limits.py', 'lifelines/_univariate_weibull.py', 'lifelines/tests/test_weibull.py', 'reqs/travis-requirements.txt', 'lifelines/progress_bar.py', 'lifelines/metrics.py', 'docs/images/lifelines_intro_lcd.png', 'lifelines/datasets/__init__.py', 'lifelines/fitters/piecewise_exponential_regression_fitter.py', 'examples/copula_frailty_weibull_model.py', 'docs/Quickstart.rst', 'docs/jupyter_notebooks/Piecewise Exponential Models and Creating Custom Models.ipynb', 'docs/Examples.rst', 'tests/utils/test_utils.py', 'MANIFEST.in', 'lifelines/estimation.py', 'lifelines/datasets.py', 'docs/Survival analysis with lifelines.rst', 'lifelines/utils/progress_bar.py', 'lifelines//nelson_aalen_fitter.py', 'lifelines/tests/__init__.py', 'CHANGELOG.md', 'lifelines/fitters/weibull_fitter.py', 'lifelines/datasets/divorce.dat', 'examples/B-splines.ipynb', 'README.txt', 'lifelines/fitters/spline_fitter.py', 'docs/images/survival_weibull.png', 'lifelines/exceptions.py', 'examples/haft_model.py', 'docs/images/weibull_aft_two_models.png', 'datasets/Divorces Rates.ipynb', 'lifelines/_cox_regression.py', 'lifelines/fitters/cox_time_varying_fitter.py', 'lifelines/datasets/static_test.csv', 'lifelines//kaplan_meier_fitter.py', 'examples/Divorces Rates.ipynb', 'docs/images/weibull_aft_forest.png', 'docs/images/waft_plot_quickstart.png', 'datasets/The Gehan Survival Data.ipynb', 'tests/conftest.py', 'datasets/kidney_transplant.csv', 'reqs/dev-requirements.txt', 'docs/images/goodfit.png', 'datasets/canadian_senators.csv', 'lifelines/_base_fitter.py', 'lifelines/fitters/npmle.py', 'lifelines/utils/logsf.py', 'docs/jupyter_notebooks/Cox residuals.ipynb', 'examples/Cox residuals.ipynb', 'lifelines/fitters/__init__.py', 'lifelines/datasets/c_botulinum_lag_phase.csv', 'experiments/aalen_and_cook_simulation.py', 'docs/images/lifelines_intro_multi_kmf_fitter.png', 'examples/Solving a mixture of exponentials and binning using interval censoring.ipynb', 'docs/Compatibility with scikit-learn.rst', 'docs/images/lcd_parametric.png', 'lifelines/datasets/interval_diabetes.csv', 'lifelines/compat.py', 'tests/test_statistics.py', 'Tutorial and Examples.ipynb', 'lifelines//progress_bar.py', '.prospector.yaml', 'docs/images/survival_regression_conditioning_with_median.png', 'lifelines/utils/__init__.py', 'lifelines/_utils/cindex.py', 'setup.py', 'lifelines/tests/test_statistics.py', 'datasets/static_test.csv', 'perf_tests/aaf_perf_test.py', 'experiments/generalized_aft.py', 'perf_tests/ctv_perf_test.py', 'docs/images/add_at_risk.png', 'perf_tests/batch_vs_single.py', 'CONTRIBUTING.md', 'docs/jupyter_notebooks/Proportional hazard assumption.ipynb', 'examples/mixture_cure_model.py', 'lifelines/utils.py', 'lifelines/_statistics.f90', 'examples/cure_model.py', 'docs/images/weibull_aft_two_models_side_by_side.png', 'reqs/base-requirements.txt', 'examples/Custom Regression Models.ipynb', 'datasets/divorce.dat', 'Makefile', 'docs/lifelines.datasets.rst', 'experiments/confidence_intervals_test.py', 'Survival Analysis intro.ipynb', 'docs/examples.rst', 'lifelines/datasets/panel_test.csv', 'dev-requirements.txt', 'lifelines/datasets/CuZn-LeftCensoredDataset.csv', 'docs/images/kmf_mcas.png', 'perf_tests/weibull_perf_test.py', 'tests/utils/test_btree.py', 'lifelines/fitters/crc_spline_fitter.py', 'docs/images/badfit.png', 'experiments/cure_model.py', 'README.md', 'lifelines/fitters/coxph_fitter.py', 'docs/Changelog.rst', 'docs/lifelines.statistics.rst', 'lifelines/fitters/aalen_johansen_fitter.py', 'lifelines/_utils/_cindex.f90', 'docs/images/coxph_plot_covarite_groups.png', 'lifelines/utils/sklearn_adapter.py', 'lifelines/tests/__main__.py', 'reqs/docs-requirements.txt', 'lifelines/datasets/gbsg2.csv', 'setup.cfg', 'datasets/panel_test.csv', 'lifelines/_utils.f90', '.gitignore', 'lifelines/CHANGELOG.md', 'docs/Survival Analysis intro.rst', 'lifelines/calibration.py', 'docs/Intro to lifelines.rst', 'lifelines/fitters/breslow_fleming_harrington_fitter.py', 'lifelines/tests/test_utils.py', 'datasets/psychiatric_patients.csv', 'docs/Time
davidsandberg/facenet,"{'src/cluster.py', 'tmp/predict.py', 'src/models/network.pyc', 'src/models/nn4.pyc', 'src/compare.py', 'src/align/align_dataset_mtcnn.py', 'src/facenet.py', 'contributed/export_embeddings.py', 'tmp/export_embeddings.py', 'src/models/__init__.pyc', 'src/train_tripletloss.py'}","{'contributed/clustering.py', 'src/calculate_filtering_metrics.py', 'src/compare.py', '.travis.yml', 'src/decode_msceleb_dataset.py', 'src/models/nn4.pyc', 'src/test_invariance_on_lfw.py', 'src/models/inception_resnet_v1.py', 'src/freeze_graph.py', 'facenet/src/align_dataset.py', 'tmp/predict.py', 'src/download_vgg_face_dataset.py', 'src/facenet_train_classifier.py', 'facenet/src/facenet.py', 'src/facenet.py', 'README.md', 'src/models/__init__.pyc', 'src/align/detect_face.py', 'src/models/network.pyc', 'tmp/batch_represent.py', '.gitignore', 'src/align/align_dataset_mtcnn.py', 'src/validate_on_lfw.py'}","{'src/align', 'contributed', 'tmp', 'src/models', 'src'}","{'src/align', 'contributed', 'facenet/src', 'tmp', 'src/models', 'src'}",0.4074074074074074,0.8518518518518519,0.8333333333333334,1.0
deepfakes/faceswap,"{'plugins//Model_OriginalHighRes/Model.py', 'plugins/model/Model_GAN/instance_normalization.py', 'lib/gui/stats.py', 'plugins/Model_Original/Trainer.py', 'faceswap.py', 'lib/face_alignment/__init__.py', 'tools/manual/faceviewer/frame.py', 'lib/align/alignments.py', 'lib/gui/command.py', 'lib/gui/wrapper.py', 'lib/face_alignment/extractor.py', 'lib/face_filter.py', '.github/ISSUE_TEMPLATE.md', 'docs/full/lib.model.rst', 'plugins/Model_GAN/instance_normalization.py', 'plugins//Model_Original/Trainer.py', 'plugins/model/Model_IAE/AutoEncoder.py', 'icons/save.png', 'lib/face_alignment/mtcnn.py', 'INSTALL.md', 'plugins/Extract_Crop.py', 'plugins/train/model/unbalanced_defaults.py', 'lib/gui/menu.py', 'plugins/train/model/_base.py', 'plugins//Model_IAE/AutoEncoder.py', 'plugins/model/Model_OriginalHighRes/instance_normalization.py', 'plugins/extract/detect/cv2_dnn.py', 'lib/gpu_stats.py', 'plugins/train/model/dfaker.py', 'plugins/convert/color/_base.py', 'plugins/train/model/villain_defaults.py', 'plugins/model/Model_GAN128/instance_normalization.py', 'tools/alignments.py', 'plugins/model/Model_GAN/Model.py', 'plugins//Model_LowMem/AutoEncoder.py', 'plugins//Convert_Masked.py', 'README.md', 'plugins/extract/detect/__init__.py', 'plugins/extract/detect/mtcnn_defaults.py', 'plugins/plugin_loader.py', 'lib/FaceLandmarksExtractor/FaceLandmarksExtractor.py', 'docs/full/plugins.extract.detect.rst', 'tools/alignments/jobs.py', 'plugins/Model_IAE/__init__.py', 'plugins/Model_OriginalHighRes/Model.py', 'lib/gui/__init__.py', 'tools/preview.py', 'lib/cli/launcher.py', 'plugins/extract/mask/components_defaults.py', 'plugins/convert/Convert_Masked.py', 'tools/manual/frameviewer/editor/bounding_box.py', 'lib/face_alignment/detectors.py', 'lib/cli.py', 'tools/cli.py', 'plugins/Model_LowMem.py', 'plugins/extract/mask/vgg_clear_defaults.py', 'plugins/model/Model_Original/Trainer.py', 'plugins//Model_GAN128/instance_normalization.py', 'plugins/extract/align/_base.py', 'tools/lib_alignments/jobs_manual.py', 'lib/gui/utils.py', 'plugins/model/Model_Original/Model.py', 'lib/gui/.cache/icons/graph.png', 'plugins/Model_GAN128/__init__.py', 'plugins/extract//.cache/.keep', 'plugins/Model_GAN128/instance_normalization.py', 'extract.py', 'plugins/train/model/realface.py', 'README_EXTRACT.md', 'plugins/Model_LowMem/Trainer.py', 'lib/DetectedFace.py', 'plugins/extract/_base.py', 'lib/model/masks.py', 'lib/keypress.py', 'requirements-gpu-python36-cuda9.txt', 'plugins/train/model/dfaker_defaults.py', 'tools/sort/cli.py', 'plugins/Model_GAN/Model.py', 'plugins//Model_OriginalHighRes/Trainer.py', 'plugins/model/Model_GAN/__init__.py', 'plugins/convert/writer/pillow.py', 'docs/full/plugins.rst', 'docs/full/lib/image.rst', 'plugins//Model_GAN/Trainer.py', 'tools/alignments/media.py', 'plugins/convert/color/match_hist.py', 'lib/model/normalization.py', 'plugins/train/model/dfl_h128.py', 'tools/sort/sort.py', 'plugins/extract/mask/vgg_obstructed.py', 'plugins/extract/detect/.cache/s3fd.pb', 'plugins/Model_OriginalHighRes/Trainer.py', 'plugins//Model_LowMem/__init__.py', 'lib/FaceLandmarksExtractor/__init__.py', 'plugins/extract/mask/none_defaults.py', 'lib/FaceLandmarksExtractor/2DFAN-4.h5', 'plugins/extract/detect/_base.py', 'tools/mask.py', 'docs/full/lib/alignments.rst', 'requirements-python35.txt', 'lib/vgg_face2_keras.py', 'lib/face_alignment/.cache/det3.npy', 'requirements-docker-gpu.txt', 'lib/align/aligned_face.py', 'docs/full/modules.rst', 'tools/effmpeg.py', 'lib/gui/.cache/icons/move.png', 'lib/align/__init__.py', 'lib/PixelShuffler.py', 'lib/faces_process.py', 'plugins/model/Model_OriginalHighRes/Trainer.py', 'plugins//Model_OriginalHighRes/__init__.py', 'lib/logger.py', 'plugins/convert/mask/box_blend_defaults.py', 'plugins/Model_OriginalHighRes/_version.py', 'Dockerfile', 'plugins/PluginLoader.py', 'docs/full/plugins.extract._base.rst', 'tools.py', 'docs/full/plugins.extract.align._base.rst', 'requirements_nvidia.txt', 'lib/utils.py', 'plugins/model/Model_GAN128/Model.py', 'plugins/convert/_config.py', 'scripts/train.py', 'lib
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mravanelli/pytorch-kaldi,"{'kaldi_decoding_scripts/decode_dnn.sh', 'neural_networks.py', 'proto/channelAvg.proto', 'utils.py', 'proto/global_refac01.proto', 'data_io.py', 'core.py', 'run_nn.py', 'proto/global_chunk_refac01.proto', 'run_exp.py', 'README.md'}","{'kaldi_decoding_scripts/decode_dnn.sh', 'cfg/TIMIT_baselines/TIMIT_SRU_fbank.cfg', 'kaldi_decoding_scripts/utils/nnet/gen_hamm_mat.py', 'check_res_dec.sh', 'run_exp.py', 'cfg/DIRHA_baselines/DIRHA_QLSTM_MFCC.cfg', 'data_io.py', 'kaldi_decoding_scripts/utils/nnet/make_cnn2d_proto.py', 'kaldi_decoding_scripts/utils/nnet/make_nnet_proto.py', 'kaldi_decoding_scripts/utils/nnet/make_cnn_proto.py', 'neural_networks.py', 'tune_hyperparameters.py', 'plot_acc_and_loss.py', 'kaldi_decoding_scripts/utils/nnet/make_blstm_proto.py', 'README.md', 'proto/logMelFb.proto', 'proto/QLSTM.proto', 'proto/SRU.proto', 'kaldi_decoding_scripts/utils/nnet/gen_dct_mat.py', 'utils.py', 'kaldi_decoding_scripts/utils/filt.py', 'kaldi_decoding_scripts/utils/nnet/gen_splice.py', 'save_raw_fea.py', 'core.py', '.gitignore', 'cfg/DIRHA_baselines/DIRHA_fusionRNN_MFCC_6ch.cfg', 'quaternion_neural_networks.py', 'kaldi_decoding_scripts/utils/nnet/make_lstm_proto.py', 'RESULTS'}","{'kaldi_decoding_scripts', 'proto'}","{'proto', 'cfg/DIRHA_baselines', 'cfg/TIMIT_baselines', 'kaldi_decoding_scripts/utils', 'kaldi_decoding_scripts', 'kaldi_decoding_scripts/utils/nnet'}",0.3333333333333333,0.8787878787878788,0.3333333333333333,1.0
namisan/mt-dnn,"{'config/tasks_config.json', 'scripts/convert_tf_to_pt.py', 'mt_dnn/batcher.py', 'int_test_data/glue/expected/prepro_std/roberta_cased_lower/cola_train.json', 'int_test_data/glue/expected/encoder/bert_uncased_lower/cola_encoding.pt', 'data_utils/task_def.py', 'int_test_data/glue/input/encoder/roberta_cased_lower/cola_dev.json', 'experiments/glue/glue_prepro.py', 'tests/_test_train.py', 'experiments/squad/squad_prepro.py', 'sample_data/checkpoint/mnli_matched_test_scores_0.json', 'module/san_model.py', 'int_test_data/glue/expected/prepro_std/roberta_cased_lower/mnli_train.json', 'extractor.py', 'int_test_data/glue/input/prepro_std/glue_task_def.yml', 'experiments/squad/squad_utils.py', 'int_test_data/glue/expected/prepro_std/bert_uncased_lower/stsb_train.json', 'data_utils/mrc_eval.py', 'int_test_data/glue/input/encoder/bert_uncased_lower/cola_test.json', 'sample_data/checkpoint/mnli_mismatched_dev_scores_0.json', 'int_test_data/glue/input/encoder/roberta_cased_lower/cola_train.json', 'int_test_data/glue/input/encoder/bert_uncased_lower/cola_train.json', 'mt_dnn/inference.py', 'sample_data/checkpoint/mnli_mismatched_test_scores_0.json', 'data_utils/label_map.py', 'train.py', 'int_test_data/glue/input/prepro_std/cola_train.tsv', 'docker/Dockerfile', 'sample_data/checkpoint/config.json', 'int_test_data/glue/expected/prepro_std/bert_uncased_lower/cola_train.json', 'int_test_data/glue/input/encoder/roberta_cased_lower/cola_test.json', 'experiments/glue/glue_label_map.py', 'generate_task_def.py', 'module/sub_layers.py', 'data_utils/metrics.py', 'sample_data/checkpoint/log.txt', 'int_test_data/glue/expected/encoder/roberta_cased_lower/cola_encoding.pt', 'int_test_prepro_std.py', 'int_test_data/glue/expected/prepro_std/bert_uncased_lower/mnli_train.json', 'mt_dnn/matcher.py', 'mt_dnn/model.py', 'int_test_data/glue/expected/prepro_std/roberta_cased_lower/stsb_train.json', 'scripts/run_rte_roberta.sh', 'prepro_std.py', 'sample_data/checkpoint/mnli_matched_dev_scores_0.json', 'experiments/squad/squad_task_def.yml', 'experiments/exp_def.py', 'data_utils/glue_utils.py', 'int_test_data/glue/input/encoder/bert_uncased_lower/cola_dev.json', 'experiments/glue/glue_task_def.yml', 'data_utils/squad_eval.py', 'int_test_data/glue/input/prepro_std/mnli_train.tsv', 'predict.py', 'mt_dnn/loss.py', 'int_test_encoder.py', 'int_test_data/glue/input/prepro_std/stsb_train.tsv'}","{'mt_dnn/batcher.py', 'experiments/glue/prepro.sh', 'sample_data/output/mnli_matched_dev.json', 'experiments/superglue/superglue_utils.py', 'hnn/script/requirements.txt', 'extractor.py', 'hnn/data/WSC273/convert.py', 'experiments/squad/squad_utils.py', 'hnn/src/module/tf_utils.py', 'int_test_data/glue/expected/prepro_std/roberta_cased_lower/mnli_train.json', 'prepare_distillation_data.py', 'mt_dnn/perturbation.py', 'experiments/xnli/xnli_task_def.yml', 'sample_data/output/sst_dev.json', 'tutorials/Run_Your_Own_Task_in_MT-DNN.ipynb', 'sample_data/output/mrpc_dev.json', 'hnn/src/apps/dataloader.py', 'experiments/superglue/prepro.sh', 'hnn/src/apps/metrics.py', 'experiments/__init__.py', 'hnn/src/bert/convert_tf_checkpoint_to_pytorch.py', 'hnn/data/WNLI/ranking_data.py', 'hnn/data/WNLI/extract_candidate.py', 'hnn/src/functions/ops.py', 'sample_data/output/qqp_train.json', 'module/bert_optim.py', 'hnn/data/WNLI/train_annotated.tsv', 'tutorials/tutorial_task_def.yml', 'prepro.py', 'sample_data/output/scitail_test.json', 'hnn/data/DPRD/train.c.txt', 'experiments/ner/ner_task_def_roberta.yml', 'scripts/run_mt_dnn.sh', 'hnn/src/apps/hnn_dataset.py', 'sample_data/output/rte_test.json', 'module/pooler.py', 'hnn/src/apps/hnn_model.py', 'experiments/xnli/xnli_prepro.py', 'sample_data/output/scitail_dev.json', 'experiments/mlm/mlm.yml', 'data_utils/xlnet_utils.py', 'hnn/src/apps/training_utils.py', 'hnn/data/WSC273/unswitched.tsv', 'hnn/src/bert/__init__.py', 'experiments/glue/glue_task_def.yml', 'hnn/src/bert/__main__.py', 'sample_data/output/stsb_dev.json', 'experiments/ner/prepro.py', 'eval.py', 'hnn/data/WNLI/test_annotated.tsv', 'data_utils/roberta_utils.py', 'samp
nextgenusfs/funannotate,"{'funannotate/utilities/tbl2gbk.py', 'funannotate/update.py', 'funannotate/aux_scripts/iprscan-local.py', 'funannotate/annotate.py', 'bin/funannotate-update.py', 'funannotate/compare.py', 'funannotate/utilities/stringtie2gff3.py', 'docs/conda.rst', 'setup.py', 'funannotate/setupDB.py', 'MANIFEST.in', 'funannotate/aux_scripts/enrichment_parallel.py', 'funannotate/aux_scripts/funannotate-BUSCO2.py', 'funannotate/utilities/gff2tbl.py', 'bin/funannotate-contig_cleaner.py', 'funannotate/stackedBarGraph.py', 'bin/funannotate-train.py', 'funannotate/library.py', 'funannotate/clean.py', 'funannotate/train.py', 'funannotate/remote.py', 'lib/library.py', 'funannotate/__version__.py', 'funannotate/database.py', 'util/check_modules.py', 'funannotate/downloads.json', 'funannotate/utilities/gff2prot.py', 'funannotate/aux_scripts/tbl2asn_parallel.py', 'funannotate/aux_scripts/trinity.py', 'funannotate/aux_scripts/iprscan2annotations.py', 'funannotate/aux_scripts/phobius-multiproc.py', 'funannotate/utilities/quarry2gff3.py', 'funannotate/sort.py', 'funannotate/check.py', 'funannotate/utilities/contrast.py', 'funannotate/pybam.py', 'funannotate/outgroups.py', 'funannotate/fix.py', 'funannotate/aux_scripts/funannotate-runEVM.py', 'bin/funannotate-predict.py', 'funannotate/species.py', 'funannotate/aux_scripts/hmmer_parallel.py', 'README.md', 'funannotate/aux_scripts/xmlcombine.py', 'funannotate/aux_scripts/augustus_parallel.py', 'funannotate/aux_scripts/funannotate-p2g.py', 'funannotate/interlap.py', 'funannotate/predict.py', 'funannotate/aux_scripts/runIPRscan.py', '.gitignore', 'funannotate/test.py', 'scripts/funannotate'}","{'funannotate/update.py', 'funannotate/aux_scripts/iprscan-local.py', 'funannotate/annotate.py', 'bin/funannotate-update.py', 'funannotate/compare.py', 'docs/conda.rst', 'funannotate-podman', 'setup.py', 'funannotate/train.py', 'bin/funannotate-train.py', 'funannotate/library.py', 'lib/library.py', 'util/check_modules.py', 'funannotate/aux_scripts/tbl2asn_parallel.py', 'funannotate/check.py', 'docs/prepare.rst', 'docs/docker.rst', 'funannotate/aux_scripts/funannotate-runEVM.py', 'bin/funannotate-fix.py', 'funannotate/predict.py', 'docs/predict.rst', 'bin/funannotate-functional.py', 'funannotate/test.py', 'scripts/funannotate', 'bin/funannotate-setup.py', 'bin/funannotate-compare.py', 'Dockerfile-base'}","{'docs', 'scripts', 'funannotate/utilities', 'funannotate/aux_scripts', 'lib', 'bin', 'funannotate', 'util'}","{'docs', 'scripts', 'funannotate/aux_scripts', 'lib', 'bin', 'funannotate', 'util'}",0.8524590163934426,0.4426229508196721,1.0,0.875
nicodv/kmodes,"{'kmodes/kmodes.py', 'kmodes/util/tests/test_util.py', 'examples/benchmark_parallel.py', 'kmodes/kprototypes.py', 'kmodes/tests/test_kmodes.py', 'kmodes/util/__init__.py', 'README.rst', 'kmodes/tests/test_kprototypes.py'}","{'kmodes/util/dissim.py', 'kmodes/kmodes.py', '.coveragerc', 'kmodes/util/tests/test_util.py', 'kmodes/util/testing.py', 'kmodes/kprototypes.py', 'kmodes/util/tests/test_dissim.py', 'kmodes/tests/test_kmodes.py', 'setup.py', 'README.rst', 'kmodes/util/__init__.py', 'kmodes/util/init_methods.py', '.travis.yml', 'kmodes/tests/test_common.py', 'requirements.txt', 'kmodes/tests/test_kprototypes.py'}","{'kmodes', 'kmodes/tests', 'kmodes/util/tests', 'examples', 'kmodes/util'}","{'kmodes/tests', 'kmodes/util', 'kmodes/util/tests', 'kmodes'}",0.47058823529411764,0.9411764705882353,1.0,0.8
regel/loudml,"{'loudml/tests/test_license.sh', 'docker/community/Dockerfile', 'telemetry/Gopkg.lock', 'docker/buildbot/Dockerfile', 'api/debian/changelog.in', 'loudml/loudml/config.py', 'docker/buildbot/distributions', 'loudml/loudml/fingerprints.py', 'loudml/tests/test_license.py', 'loudml/loudml/donut.py', 'loudml/loudml/memdatasource.py', 'loudml/loudml/cli.py', 'telemetry/README.md', 'loudml/loudml/bucket.py', 'loudml/loudml/license.py', 'loudml/elastic.py', 'docker/buildbot/loudml.yml', 'docker/image/README.rst', 'loudml-influx/loudml/influx.py', 'loudml/metrics.py', 'docker/image/.gitignore', 'docker/buildbot/README.rst', 'docker/community/loudml.yml', 'docker/community/README.rst', 'loudml-influx/loudml-influx.spec', 'docker/buildbot/Makefile', 'docker/dockerhub-deploy', 'telemetry/dockerhub.go', 'docker/image/Makefile', 'telemetry/Gopkg.toml', 'docker/image/Dockerfile.in', 'loudml-elastic/loudml-elastic.spec', 'telemetry/main.go', 'loudml/loudml/server.py', 'loudml/loudml/timeseries.py', 'docker/Makefile', 'telemetry/dockerhub_test.go', 'docker/buildbot/options', 'docker/community/Makefile'}","{'docker/etc/telegraf.conf', 'python/loudml/storage.py', 'loudml-influx/debian/control', 'loudml/opentsdb.py', 'Dockerfile', 'docker/README.md', 'setup.py', 'docs/reference/release-notes/1.4.3.asciidoc', 'loudml/loudml/config.py', '.circleci/config.yml', 'loudml/requests.py', 'loudml/__init__.py', 'python/loudml/ivoip.py', 'loudml-elastic/debian/control', 'loudml-import/debian/rules', 'api/debian/source/format', 'python/loudml/server.py', 'tests/test_opentsdb.py', 'loudml-elastic-aws/debian/rules', 'loudml-elastic/debian/rules', 'loudml/prometheus.py', 'api/setup.py', 'api/debian/postinst', 'loudml/loudml.spec', 'api/debian/README.Debian', 'api/loudml-api.spec', 'Makefile', 'loudml-elastic-aws/debian/control', 'build.mk', 'api/debian/loudml-doc.docs', 'api/debian/compat', 'api/debian/copyright', 'tests/test_prometheus.py', 'docker/.gitignore', 'loudml/debian/rules', 'python/loudml/som.py', 'loudml-influx/debian/rules', 'docker/docker-compose.yml', 'api/debian/rules', 'api/Makefile', 'loudml/debian/control', 'loudml/loudml/server.py', 'api/loudml/api.py', 'docker/etc/loudml.yml', '.gitignore', 'api/debian/control', 'api/debian/docs', 'api/debian/loudml-doc.install', 'api/debian/install', 'api/debian/changelog.in'}","{'docker/buildbot', 'docker/community', 'loudml-influx/loudml', 'loudml/loudml', 'loudml-influx', 'docker/image', 'loudml', 'docker', 'telemetry', 'loudml/tests', 'loudml-elastic', 'api/debian'}","{'.circleci', 'loudml/debian', 'loudml-elastic-aws/debian', 'api/loudml', 'python/loudml', 'api/debian', 'api/debian/source', 'docker/etc', 'tests', 'loudml', 'loudml-elastic/debian', 'api', 'docker', 'loudml-import/debian', 'loudml-influx/debian', 'loudml/loudml', 'docs/reference/release-notes'}",0.45348837209302323,0.5813953488372093,0.48,0.68
robertmartin8/PyPortfolioOpt,"{'tests/utilities_for_tests.py', 'media/ef_plot.png', 'tests/test_base_optimizer.py', 'pypfopt/black_litterman.py', 'pypfopt/plotting.py', 'Dockerfile', 'setup.py', 'binder/jupyter_notebook_config.py', '.travis.yml', 'tests/test_objective_functions.py', 'tests/test_risk_models.py', 'docs/conf.py', 'pypfopt/risk_models.py', 'docs/ExpectedReturns.rst', 'tests/test_hrp.py', 'pypfopt/hierarchical_risk_parity.py', 'tests/test_custom_objectives.py', 'docs/BlackLitterman.rst', 'pypfopt/efficient_frontier/efficient_frontier.py', 'docs/Plotting.rst', 'docs/RiskModels.rst', 'tests/test_plotting.py', 'docker/Dockerfile', 'pypfopt/value_at_risk.py', 'tests/test_imports.py', 'tests/test_cla.py', 'tests/test_expected_returns.py', 'tests/test_black_litterman.py', 'Makefile', 'pypfopt/efficient_frontier/efficient_cvar.py', 'docker-compose.test.yml', 'docs/index.rst', 'pyproject.toml', 'tests/test_efficient_frontier.py', '.github/workflows/main.yml', 'pypfopt/efficient_frontier.py', '.dockerignore', 'README.md', 'poetry.lock', 'pypfopt/efficient_frontier/efficient_semivariance.py', 'binder/Dockerfile', 'docker-compose.yml', 'pypfopt/objective_functions.py', 'pypfopt/discrete_allocation.py', 'tests/test_discrete_allocation.py', 'pypfopt/efficient_frontier/__init__.py', 'pypfopt/exceptions.py', 'pypfopt/cla.py', '.gitignore', 'pypfopt/expected_returns.py', 'cookbook/4-Black-Litterman-Allocation.ipynb', 'pypfopt/base_optimizer.py', 'requirements.txt', 'docs/Roadmap.rst', 'pypfopt/hierarchical_portfolio.py'}","{'docs/MeanVariance.rst', 'tests/test_base_optimizer.py', 'pipfile', 'MANIFEST.in', 'tests/test_hrp.py', 'docs/ExpectedReturns.rst', 'pypfopt/cvar.py', 'docs/RiskModels.rst', 'tests/test_imports.py', '.github/ISSUE_TEMPLATE/workflows/main.yml', 'tests/test_black_litterman.py', 'pypfopt/efficient_frontier/efficient_cvar.py', 'media/weight_plot.png', 'docs/OtherOptimisers.rst', 'tests/test_efficient_frontier.py', '.github/ISSUE_TEMPLATE/bug.md', '.github/workflows/main.yml', 'media/cla_plot.png', 'poetry.lock', 'pypfopt/discrete_allocation.py', 'media/ef_scatter.png', 'pypfopt/exceptions.py', 'cookbook/1-RiskReturnModels.ipynb', 'cookbook/4-Black-Litterman-Allocation.ipynb', 'media/conceptual_flowchart_v2-grey.png', 'tests/utilities_for_tests.py', 'Dockerfile', 'setup.py', 'binder/jupyter_notebook_config.py', 'requirements.txt', 'cookbook/5-Hierarchical-Risk-Parity.ipynb', 'docs/UserGuide.rst', 'examples.py', 'docs/BlackLitterman.rst', 'cookbook/2-Mean-Variance-Optimisation.ipynb', 'pypfopt/efficient_semivariance.py', 'docs/Plotting.rst', 'media/conceptual_flowchart_v2.png', '.github/FUNDING.yml', 'docker/Dockerfile', 'tests/test_cla.py', 'Makefile', 'tests/test_value_at_risk.py', 'pypfopt/__init__.py', 'pypfopt/efficient_frontier.py', 'README.md', 'pypfopt/efficient_frontier/efficient_semivariance.py', 'binder/Dockerfile', 'pypfopt/objective_functions.py', 'tests/test_discrete_allocation.py', 'tests//stock_prices.csv', 'tests/test_efficient_cvar.py', 'setup.cfg', 'pypfopt/efficient_frontier/__init__.py', '.gitignore', 'docs/Postprocessing.rst', 'cookbook/3-Advanced-Mean-Variance-Optimisation.ipynb', 'media/corrplot.png', 'media/dendrogram.png', 'tests/test_objective_functions.py', '.travis.yml', 'pypfopt/risk_models.py', 'docs/conf.py', 'pypfopt/efficient_frontier/efficient_frontier.py', 'pypfopt/hierarchical_risk_parity.py', 'tests/test_plotting.py', 'docs/FAQ.rst', 'tests//spy_prices.csv', 'media/conceptual_flowchart_v1-grey.png', 'tests/test_efficient_semivariance.py', 'docs/About.rst', 'docker-compose.yml', 'media/corrplot_white.png', '.github/ISSUE_TEMPLATE/installation-error.md', 'pypfopt/base_optimizer.py', '.dockerignore', 'docs/Roadmap.rst', 'docs/Contributing.rst', 'tests/spy_prices.csv', 'media/ef_plot.png', 'pypfopt/black_litterman.py', 'pypfopt/plotting.py', '.github/ISSUE_TEMPLATE/feature_request.md', 'tests/test_risk_models.py', 'tests/test_cvar.py', 'tests/test_custom_objectives.py', 'cookbook/HierarchicalRiskParity.ipynb', 'media/efficient_frontier_white.png', 'media/conceptual_flowchart_v
SeanNaren/deepspeech.pytorch,"{'deepspeech_pytorch/loader/data_loader.py', 'deepspeech_pytorch/configs/train_config.py', 'logger.py', 'Dockerfile', 'data/librispeech.py', 'deepspeech_pytorch/training.py', 'main.py', 'data/utils.py', 'data/__init__.py', 'data/data_loader.py', 'data/voxforge.py', 'data/ted.py', 'train.py', 'benchmark.py', 'tune_decoder.py', 'test/test.py', 'deepspeech_pytorch/utils.py', 'labels.json', 'noise_inject.py', 'deepspeech_pytorch/data/utils.py', 'test.py', 'deepspeech_pytorch/state.py', 'transcribe.py', 'model.py', 'config.yaml', 'deepspeech_pytorch/config.py', 'server.py', 'data/get_an4.py', 'README.md', 'data/an4.py', 'state.py', 'data/common_voice.py', 'utils.py', 'multiproc.py', 'decoder.py', 'data/bucketing_sampler.py', 'predict.py', 'search_lm_params.py', 'data/merge_manifests.py', 'deepspeech_pytorch/enums.py', 'requirements.txt', 'deepspeech_pytorch/model.py', 'deepspeech_pytorch/checkpoint.py'}","{'logger.py', 'configs/librispeech.yaml', 'deepspeech_pytorch/training.py', 'configs/an4.yaml', 'data/__init__.py', 'data/voxforge.py', 'deepspeech_pytorch/validation.py', 'data/distributed.py', 'get_an4.py', 'select_lm_params.py', 'deepspeech_pytorch/decoder.py', 'deepspeech_pytorch/configs/__init__.py', 'opts.py', 'tests/smoke_test.py', 'Dockerfile', 'configs/commonvoice.yaml', 'setup.py', 'data/librispeech.py', 'data/data_loader.py', 'deepspeech_pytorch/logger.py', 'kubernetes/data/persistent_volume.yaml', 'deepspeech_pytorch/data/utils.py', 'deepspeech_pytorch/state.py', 'deepspeech_pytorch/config.py', 'README.md', 'data/an4.py', 'utils.py', 'kubernetes/train.yaml', 'tests/__init__.py', 'deepspeech_pytorch/data/__init__.py', 'data/bucketing_sampler.py', '.gitignore', 'deepspeech_pytorch/enums.py', 'data/merge_manifests.py', 'data/sparse_image_warp.py', 'data/spec_augment.py', 'deepspeech_pytorch/checkpoint.py', 'deepspeech_pytorch/loader/data_loader.py', 'deepspeech_pytorch/data/data_opts.py', 'deepspeech_pytorch/configs/inference_config.py', 'deepspeech_pytorch/loader/merge_manifests.py', '.travis.yml', 'deepspeech_pytorch/testing.py', 'main.py', 'data/utils.py', 'benchmark.py', 'kubernetes/README.md', 'transcribe.py', 'kubernetes/data/storage.yaml', 'model.py', 'server.py', 'generate_lm_dict.py', 'state.py', 'decoder.py', 'generate_lm_trie.py', 'deepspeech_pytorch/__init__.py', 'tests/pretrained_smoke_test.py', 'predict.py', 'search_lm_params.py', 'deepspeech_pytorch/opts.py', 'deepspeech_pytorch/configs/train_config.py', '.github/stale.yml', 'kubernetes/data/transfer_data.yaml', 'CTCLoss.py', 'data/ted.py', 'translations/README_JP.md', 'train.py', 'tune_decoder.py', 'create_noise_manifest.py', 'create_dataset_manifest.py', 'test/test.py', 'deepspeech_pytorch/inference.py', 'noise_inject.py', 'deepspeech_pytorch/utils.py', 'test.py', 'deepspeech_pytorch/loader/data_module.py', 'deepspeech_pytorch/loader/__init__.py', 'config.yaml', 'example.py', 'data/common_voice.py', 'multiproc.py', 'configs/tedlium.yaml', 'data/verify_manifest.py', 'requirements.txt', 'deepspeech_pytorch/model.py'}","{'test', 'deepspeech_pytorch/configs', 'deepspeech_pytorch/loader', 'data', 'deepspeech_pytorch/data', 'deepspeech_pytorch'}","{'configs', 'translations', 'test', 'deepspeech_pytorch/configs', 'deepspeech_pytorch/loader', '.github', 'kubernetes/data', 'tests', 'data', 'deepspeech_pytorch/data', 'deepspeech_pytorch', 'kubernetes'}",0.4942528735632184,0.9770114942528736,0.5,1.0
suragnair/alpha-zero-general,"{'pytorch_classification/TRAINING.md', 'gobang/tensorflow/NNet.py', 'pytorch_classification/utils/progress/LICENSE', 'pytorch_classification/models/cifar/densenet.py', 'Coach.py', 'pytorch_classification/utils/progress/demo.gif', 'pytorch_classification/models/cifar/preresnet.py', 'connect4/test_connect4.py', 'pytorch_classification/imagenet.py', 'othello/tensorflow/NNet.py', 'MCTS.py', 'connect4/Connect4Players.py', 'pytorch_classification/utils/images/cifar.png', 'rts/keras/RTSNNet.py', 'pytorch_classification/models/imagenet/resnext.py', 'pytorch_classification/utils/progress/README.rst', 'rts/models/README.md', 'pytorch_classification/models/cifar/resnet.py', 'connect4/tensorflow/Connect4NNet.py', 'pytorch_classification/models/imagenet/__init__.py', 'pytorch_classification/utils/progress/MANIFEST.in', 'tictactoe/README.md', 'rts/learn.py', 'pretrained_models/othello/pytorch/8x8_100checkpoints_best.pth.tar', 'rts/models/learn_100_iters/README.md', 'pytorch_classification/utils/progress/test_progress.py', 'connect4/Connect4Logic.py', 'connect4/__init__.py', 'rts/RTSPlayers.py', 'rts/keras/NNet.py', 'pytorch_classification/utils/progress/progress/__init__.py', 'pytorch_classification/README.md', 'pytorch_classification/utils/images/imagenet.png', 'rts/src/Board.py', 'tafl/pytorch/NNet.py', 'pytorch_classification/cifar.py', 'README.md', 'utils.py', 'othello/pytorch/NNet.py', 'rts/models/learn_100_iters/best_player2.pth.tar.data-00000-of-00001', 'connect4/Connect4Game.py', 'connect4/tensorflow/__init__.py', 'pytorch_classification/utils/progress/progress/spinner.py', 'pytorch_classification/utils/progress/progress/helpers.py', 'rts/src/config_class.py', 'othello/chainer/NNet.py', 'Arena.py', 'rts/models/learn_100_iters/best_player2.pth.tar.index', 'pytorch_classification/utils/__init__.py', 'rts/src/encoders.py', 'pytorch_classification/__init__.py', 'rts/visualization/rts_pygame.py', 'pytorch_classification/models/cifar/alexnet.py', 'pytorch_classification/models/cifar/__init__.py', 'rts/models/learn_100_iters/best_player1.pth.tar.index', 'pytorch_classification/utils/logger.py', 'othello/tensorflow/OthelloNNet.py', 'pytorch_classification/models/cifar/vgg.py', 'pytorch_classification/utils/progress/progress/counter.py', 'pretrained_models/othello/pytorch/6x6_153checkpoints_best.pth.tar', 'pytorch_classification/utils/progress/progress/bar.py', 'rts/RTSGame.py', 'rts/install.sh', 'rts/pit.py', 'pytorch_classification/utils/progress/setup.py', 'pytorch_classification/utils/eval.py', 'pytorch_classification/models/__init__.py', 'rts/src/config.py', 'pytorch_classification/utils/misc.py', 'pretrained_models/othello/chainer/6x6_checkpoint_349.pth.tar', 'rts/visualization/rts_ue4.py', 'rts/models/learn_100_iters/best_player1.pth.tar.data-00000-of-00001', 'pytorch_classification/models/cifar/wrn.py', 'connect4/tensorflow/NNet.py', 'connect4/README.md', 'rts/README.md', 'pytorch_classification/models/cifar/resnext.py'}","{'dotsandboxes/DotsAndBoxesGame.py', 'gobang/tensorflow/NNet.py', 'othello/NNet_TF.py', 'tictactoe/keras/TicTacToeNNet.py', 'Coach.py', 'othello/chainer/OthelloNNet.py', 'pretrained_models//6x100x25_best.pth.tar', 'connect4/test_connect4.py', 'dotsandboxes/README.md', 'pretrained_models/dotsandboxes/keras/3x3/best.pth.tar.index', 'tafl/Digits.py', 'docker/requirements.txt', 'test_all_games.py', 'gobang/keras/NNet.py', 'pretrained_models/othello/keras/6x6 checkpoint_145.pth.tar', 'MCTS.py', 'dotsandboxes/keras/__init__.py', 'dotsandboxes/pit-dotsandboxes.py', 'tictactoe/TicTacToePlayers.py', 'tictactoe_3d/keras/__init__.py', 'tictactoe_3d/TicTacToePlayers.py', 'tafl/TaflPlayers.py', 'tafl/pitTafl.py', 'dotsandboxes/keras/DotsAndBoxesNNet.py', 'othello/OthelloPlayers.py', 'tafl/pytorch/__init__.py', 'dotsandboxes/DotsAndBoxesTest.py', 'tictactoe/README.md', 'tafl/keras/__init__.py', 'connect4/Connect4Logic.py', 'gobang/GobangPlayers.py', 'dotsandboxes/DotsAndBoxesPlayers.py', 'dotsandboxes/Convert Keras Model for use with Tensorflow.js.ipynb', 'docker/jupyter_notebook_config.py', 
thtrieu/darkflow,"{'darkflow/cython_utils/cy_yolo_findboxes.pyx', 'darkflow/dark/darknet.py', 'cython_utils/cy_yolo2_findboxes.so', 'cython_utils/__init__.py', 'cython_utils/setup.py', 'net/help.py', 'net/build.py', 'tfnet/tfnet_help.py', 'cython_utils/cy_yolo2_findboxes.c', 'darkflow/net/build.py', '.travis.yml', 'test/scream.jpg', 'test/test_darkflow.py', 'test/giraffe.jpg', 'darkflow/net/yolo/__init__.py', 'darkflow/net/flow.py', 'darkflow/utils/loader.py', 'darkflow/net/yolov2/data.py', 'darkflow/net/framework.py', 'net/yolo/__init__.py', 'darkflow/net/yolo/misc.py', 'darkflow/net/help.py', 'darkflow/net/yolov2/__init__.py', 'darkflow/utils/im_transform.py', 'net/ops/simple.py', 'test/test_/.gitignore', 'darkflow/cython_utils/cy_yolo2_findboxes.pyx', 'configs/process.py', 'net/yolo/misc.py', 'cython_utils/cy_yolo2_findboxes.pyx', 'darkflow/defaults.py', 'darkflow/net/yolo/data.py', '.coveragerc', 'cython_utils/nms.pyx', 'cython_utils/build/temp.linux-x86_64-2.7/cy_yolo2_findboxes.o', 'darkflow/net/yolo/test.py', 'test/training/annotations/1.xml', 'net/framework.py', 'darkflow/net/yolo/predict.py', 'test/training/annotations/2.xml', 'test/horses.jpg', 'darkflow/cli.py', 'test/training/images/2.jpg', 'dark/darknet.py', 'test/dog.jpg', 'cfg/tiny-yolo-4c.cfg', 'README.md', 'labels.txt', 'test/eagle.jpg', 'net/yolo/test.py', 'darkflow/cython_utils/nms.pyx', 'darkflow/net/yolov2/test.py', 'darkflow/net/yolov2/predict.py', 'test/.gitignore', 'tfnet/yolo/test.py', 'test/ragged-edge-london-office-6.jpg', 'tfnet/tfnet_flow.py', 'net/yolov2/test.py', 'tfnet/yolo/train.py', 'tfnet/yolo/yolo-4c.parsed', 'flow', 'net/flow.py', 'darkflow/dark/layer.py', 'cython_utils/nms.pxd', '.gitignore', 'test/requirements-testing.txt', 'test/training/images/1.jpg', 'test/2007_000039.jpg', 'test/person.jpg', 'cython_utils/cy_yolo_findboxes.pyx'}","{'cython_utils/__init__.py', 'cython_utils/setup.py', 'net/help.py', 'net/build.py', 'dark/convolution.py', 'setup.py', 'darkflow/net/build.py', 'net/__init__.py', 'net/ops/convolution.py', 'net/ops/baseop.py', 'cfg/__init__.py', 'utils/box.py', 'darkflow/net/flow.py', 'cfg/yolo-voc.cfg', 'utils/box.pyc', 'tfnet/tfnet.py', 'net/yolo/__init__.py', 'net/yolov2/train.py', 'dark/darkop.py', 'darkflow/net/help.py', 'net/yolo/train.py', 'dark/__init__.py', 'darkflow/utils/im_transform.py', 'cfg/yolo.cfg', 'net/ops/simple.py', 'utils/im_transform.py', 'darkflow/defaults.py', 'net/yolo/misc.py', 'cython_utils/cy_yolo2_findboxes.pyx', 'darkflow/net/yolo/data.py', 'tfnet/tfnet_flow.pyc', 'cython_utils/nms.pyx', 'dark/layer.py', 'net/framework.py', 'utils/__init__.py', 'net/vanilla/__init__.py', 'net/ops/__init__.py', 'net/yolov2/__init__.py', 'darkflow/net/yolo/predict.py', 'darkflow/cli.py', 'net/vanilla/train.py', 'dark/darknet.py', 'dark/connected.py', 'README.md', 'net/yolo/data.py', 'net/yolov2/data.py', 'darkflow/cython_utils/nms.pyx', 'net/yolo/test.py', 'net/mnist/run.py', 'darkflow/net/yolov2/predict.py', 'cfg/process.py', 'darkflow/net/ops/simple.py', 'darkflow/net/vanilla/train.py', 'net/yolov2/test.py', 'flow', 'net/flow.py', 'utils/pascal_voc_clean_xml.py', 'cython_utils/nms.pxd', '.gitignore', 'darkflow/version.py', 'utils/loader.py', 'cython_utils/cy_yolo_findboxes.pyx'}","{'test/training/images', 'configs', 'test/training/annotations', 'net/ops', 'dark', 'test', 'darkflow/net/yolo', 'net/yolov2', 'tfnet/yolo', 'tfnet', 'darkflow', 'net', 'cfg', 'darkflow/cython_utils', 'test/test_', 'cython_utils/build/temp.linux-x86_64-2.7', 'darkflow/dark', 'darkflow/utils', 'net/yolo', 'darkflow/net', 'darkflow/net/yolov2', 'cython_utils'}","{'net/ops', 'dark', 'darkflow/net/yolo', 'darkflow/net/ops', 'net/yolov2', 'darkflow/net/vanilla', 'utils', 'tfnet', 'darkflow', 'net', 'cfg', 'net/vanilla', 'darkflow/cython_utils', 'darkflow/utils', 'net/yolo', 'darkflow/net', 'darkflow/net/yolov2', 'cython_utils', 'net/mnist'}",0.6796116504854369,0.6019417475728155,0.8148148148148148,0.7037037037037037
Tianxiaomo/pytorch-YOLOv4,"{'tool/tv_reference/utils.py', 'tool/tv_reference/coco_utils.py', 'tool/tv_reference/engine.py', 'tool/tv_reference/coco_eval.py', 'tool/darknet2pytorch.py', 'cfg.py', 'dataset.py', 'tool/coco_annotation.py', 'train.py', 'tool/tv_reference/train.py', 'models.py', 'tool/tv_reference/README.md', 'evaluate_on_coco.py', 'requirements.txt', 'tool/tv_reference/transforms.py', 'tool/tv_reference/group_by_aspect_ratio.py', 'tool/utils.py'}","{'darknet2onnx.py', 'demo_tensorflow.py', 'DeepStream/config_infer_primary_yoloV4.txt', 'cfg/yolov4.cfg', 'tool/pytorch2onnx.py', 'DeepStream/nvdsinfer_custom_impl_Yolo/yolo.cpp', 'DeepStream/Readme.md', 'DeepStream/nvdsinfer_custom_impl_Yolo/yoloPlugins.cpp', 'DeepStream/deepstream_app_config_yoloV4.txt', 'tool/onnx2tensorflow.py', 'DeepStream/nvdsinfer_custom_impl_Yolo/trt_utils.h', 'DeepStream/nvdsinfer_custom_impl_Yolo/nvdsparsebbox_Yolo.cpp', 'DeepStream/nvdsinfer_custom_impl_Yolo/Makefile', 'dataset.py', 'train.py', 'DeepStream/nvdsinfer_custom_impl_Yolo/yoloPlugins.h', 'tool/utils_iou.py', 'DeepStream/nvdsinfer_custom_impl_Yolo/nvdsinfer_yolo_engine.cpp', 'DeepStream/nvdsinfer_custom_impl_Yolo/trt_utils.cpp', 'DeepStream/nvdsinfer_custom_impl_Yolo/kernels.cu', 'DeepStream/nvdsinfer_custom_impl_Yolo/yolo.h', 'demo.py', 'README.md', 'DeepStream/nvdsinfer_custom_impl_Yolo/Readme.md', 'tool/region_loss.py', '.gitignore', 'tool/utils_iou_test.py', 'models.py', 'DeepStream/labels.txt', 'evaluate_on_coco.py', 'tool/darknet2onnx.py', 'tool/darknet2pytorch.py'}","{'tool', 'tool/tv_reference'}","{'tool', 'DeepStream', 'cfg', 'DeepStream/nvdsinfer_custom_impl_Yolo'}",0.38636363636363635,0.7272727272727273,0.4,0.8
tianzhi0549/FCOS,"{'maskrcnn_benchmark/structures/bounding_box.py', 'configs/retinanet/retinanet_X_101_32x8d_FPN_1x.yaml', 'maskrcnn_benchmark/utils/logger.py', 'maskrcnn_benchmark/layers/sigmoid_focal_loss.py', 'setup.py', 'maskrcnn_benchmark/data/build.py', 'maskrcnn_benchmark/modeling/rpn/utils.py', 'maskrcnn_benchmark/csrc/vision.cpp', 'maskrcnn_benchmark/modeling/rpn/retinanet/retinanet.py', 'demo/inference_single_cvimage.py', 'demo/man_dog.jpg', 'maskrcnn_benchmark/__init__.py', 'maskrcnn_benchmark/modeling/rpn/retinanet/inference.py', 'maskrcnn_benchmark/csrc/cuda/SigmoidFocalLoss_cuda.cu', 'maskrcnn_benchmark/engine/__init__.py', 'ABSTRACTIONS.md', 'maskrcnn_benchmark/modeling/rpn/inference.py', 'maskrcnn_benchmark/modeling/poolers.py', 'docker/Dockerfile', 'maskrcnn_benchmark/modeling/backbone/fpn.py', 'TROUBLESHOOTING.md', 'maskrcnn_benchmark/structures/image_list.py', 'tools/test_net.py', 'maskrcnn_benchmark/modeling/roi_heads/roi_heads.py', 'maskrcnn_benchmark/modeling/roi_heads/box_head/roi_box_predictors.py', 'maskrcnn_benchmark/utils/imports.py', 'maskrcnn_benchmark/engine/trainer.py', 'configs/retinanet/retinanet_R-50-FPN_P5_1x.yaml', 'configs/retinanet/retinanet_R-101-FPN_1x.yaml', 'maskrcnn_benchmark/csrc/SigmoidFocalLoss.h', 'tools/train_net.py', 'maskrcnn_benchmark/modeling/rpn/loss.py', 'maskrcnn_benchmark/utils/c2_model_loading.py', 'maskrcnn_benchmark/modeling/rpn/retinanet/__init__.py', 'README.md', 'maskrcnn_benchmark/utils/logging.py', 'maskrcnn_benchmark/data/datasets/evaluation/coco/coco_eval.py', 'configs/retinanet/retinanet_R-101-FPN_P5_1x.yaml', 'configs/retinanet/retinanet_R-50-FPN_1x_quick.yaml', 'maskrcnn_benchmark/csrc/cuda/vision.h', 'maskrcnn_benchmark/modeling/rpn/retinanet/loss.py', 'maskrcnn_benchmark/modeling/backbone/resnet.py', 'maskrcnn_benchmark/utils/comm.py', 'maskrcnn_benchmark/engine/inference.py', 'maskrcnn_benchmark/modeling/rpn/anchor_generator.py', '.gitignore', 'INSTALL.md', 'maskrcnn_benchmark/layers/__init__.py', 'maskrcnn_benchmark/modeling/balanced_positive_negative_sampler.py', 'maskrcnn_benchmark/modeling/backbone/backbone.py', 'maskrcnn_benchmark/config/defaults.py', 'maskrcnn_benchmark/modeling/rpn/rpn.py', 'configs/retinanet/retinanet_R-50-FPN_1x.yaml'}","{'maskrcnn_benchmark/config/paths_catalog.py', 'fcos_core/csrc/cuda/ml_nms.cu', 'maskrcnn_benchmark/structures/bounding_box.py', 'maskrcnn_benchmark/structures/segmentation_mask.py', 'fcos_core/layers/nms.py', 'demo/predictor.py', 'demo/README.md', 'maskrcnn_benchmark/data/datasets/list_dataset.py', 'fcos_core/csrc/ml_nms.h', 'maskrcnn_benchmark/structures/keypoint.py', 'maskrcnn_benchmark/modeling/roi_heads/keypoint_head/roi_keypoint_predictors.py', '.github/ISSUE_TEMPLATE/feature-request.md', 'configs/quick_schedules/e2e_faster_rcnn_R_50_FPN_quick.yaml', 'fcos_core/data/datasets/coco.py', 'configs/quick_schedules/e2e_faster_rcnn_X_101_32x8d_FPN_quick.yaml', 'fcos_core/modeling/rpn/fcos/inference.py', 'fcos_core/structures/segmentation_mask.py', 'MODEL_ZOO.md', 'configs/quick_schedules/rpn_R_50_FPN_quick.yaml', 'maskrcnn_benchmark/csrc/cuda/SigmoidFocalLoss_cuda.cu', 'configs/quick_schedules/e2e_mask_rcnn_R_50_FPN_quick.yaml', 'configs/quick_schedules/e2e_faster_rcnn_R_50_C4_quick.yaml', 'ABSTRACTIONS.md', 'docker/Dockerfile', 'fcos_core/csrc/vision.cpp', 'maskrcnn_benchmark/modeling/roi_heads/mask_head/inference.py', 'TROUBLESHOOTING.md', '.github/ISSUE_TEMPLATE/bug-report.md', 'tools/test_net.py', 'fcos_core/structures/boxlist_ops.py', 'fcos_core/csrc/cuda/vision.h', 'maskrcnn_benchmark/modeling/roi_heads/roi_heads.py', 'configs/quick_schedules/e2e_mask_rcnn_X_101_32x8d_FPN_quick.yaml', 'maskrcnn_benchmark/modeling/roi_heads/keypoint_head/keypoint_head.py', 'configs/quick_schedules/rpn_R_50_C4_quick.yaml', 'maskrcnn_benchmark/modeling/rpn/fcos/loss.py', 'maskrcnn_benchmark/data/datasets/coco.py', '.github/ISSUE_TEMPLATE/questions-help-support.md', 'maskrcnn_benchmark/data/transforms/transforms.py', 'fcos_core/layers/__init__.py', 'maskrcnn_benchmark/modeling/roi_heads/keypoint_head/roi_keypoint_feature_e
ZQPei/deep_sort_pytorch,"{'yolov3_deepsort.py', 'yolov3_deepsort_eval.py', 'LICENSE', 'utils/log.py', 'deep_sort/deep_sort.py', 'utils/io.py', 'utils/evaluation.py', 'requirements.txt'}","{'detector/YOLOv3/detector.py', 'webserver/__init__.py', 'deep_sort/deep_sort.py', 'detector/YOLOv3/yolo_layer.py', 'webserver/images/request.png', 'utils/evaluation.py', 'YOLOv3/detector.py', 'webserver/templates/index.html', 'detector/YOLOv3/darknet.py', 'webserver/images/Thumbs.db', 'utils/json_logger.py', 'ped_det_server.py', 'scripts/yolov3_deepsort.sh', 'deep_sort/deep/feature_extractor.py', 'webserver/rtsp_webserver.py', 'yolov3_deepsort.py', 'utils/tools.py', 'webserver/.env', 'detector/YOLOv3/region_layer.py', 'webserver/images/arc.png', 'deep_sort/deep/original_model.py', 'README.md', 'utils/asserts.py', 'webserver/readme.md', 'yolov3_deepsort_eval.py', 'deep_sort/sort/linear_assignment.py', 'webserver/server_cfg.py', 'webserver/rtsp_threaded_tracker.py', 'deep_sort/deep/train.py', 'utils/log.py', 'utils/io.py', '.gitignore', 'detector/YOLOv3/yolo_utils.py', 'webserver/config/config.py', 'output/results.txt', 'demo_yolo3_deepsort.py', 'detector/YOLOv3/cfg.py'}","{'deep_sort', 'utils'}","{'scripts', 'deep_sort/sort', 'webserver/images', 'deep_sort', 'webserver', 'utils', 'YOLOv3', 'output', 'deep_sort/deep', 'webserver/config', 'webserver/templates', 'detector/YOLOv3'}",0.20512820512820512,0.9487179487179487,0.16666666666666666,1.0