├── .coveragerc ├── .gitignore ├── LICENSE ├── README.md ├── __init__.py ├── img ├── inference_pipeline.jpg ├── modulo_net.jpg └── training_pipeline.jpg ├── launch_test.sh ├── poetry.lock ├── pretrained_model ├── 0dfcee73-055a-4c4d-929c-8fdf630e14f1 │ ├── best_model.gz │ └── description.json ├── 40c76916-23f2-4697-91f9-0ef91440f57d │ ├── best_model.gz │ └── description.json ├── 415fe39c-0729-41b6-bf8a-a04570042f5c │ ├── best_model.gz │ └── description.json ├── 8f1969fa-0f79-426e-aaa5-7ab3a076a215 │ ├── best_model.gz │ └── description.json ├── a2eb4aed-90de-4968-8535-a424588c0dfa │ ├── best_model.gz │ └── description.json ├── be685bd5-eaab-4c22-b2e6-c487ecc8773c │ ├── best_model.gz │ └── description.json ├── description.csv ├── e5844e92-6b9b-4033-8362-2f139c7bab0e │ ├── best_model.gz │ └── description.json └── fdbd193a-0408-4fc8-9a6a-a18351459512 │ ├── best_model.gz │ └── description.json ├── pyproject.toml ├── robust_sleep_net ├── __init__.py ├── datasets │ ├── __init__.py │ ├── data_augmentation.py │ └── dataset.py ├── logger │ ├── __init__.py │ └── logger.py ├── models │ ├── __init__.py │ └── modulo_net │ │ ├── __init__.py │ │ ├── epochs_encoder │ │ ├── __init__.py │ │ ├── epoch_encoder.py │ │ └── robust_encoder.py │ │ ├── epochs_reduction │ │ ├── __init__.py │ │ ├── attention_reducer.py │ │ ├── attention_reducer_with_reduction.py │ │ └── pool_reducer.py │ │ ├── features_encoder │ │ ├── __init__.py │ │ └── fully_connected.py │ │ ├── modules │ │ ├── __init__.py │ │ ├── attention.py │ │ └── channels_attention.py │ │ ├── net.py │ │ ├── normalization.py │ │ └── sequence_encoder │ │ ├── __init__.py │ │ ├── gru_sequence_encoder.py │ │ └── residual_sequence_encoder.py ├── preprocessings │ ├── __init__.py │ ├── epoch_features_processing.py │ ├── filters.py │ ├── h5_to_memmap.py │ └── signal_processing.py ├── settings_template.py ├── trainers │ ├── __init__.py │ ├── regularization.py │ ├── trainer.py │ └── trainer_multi_dataset.py └── utils │ ├── __init__.py │ ├── inference │ ├── __init__.py │ ├── edf_to_h5.py │ ├── inference.py │ ├── pretrained_models │ │ ├── 0dfcee73-055a-4c4d-929c-8fdf630e14f1 │ │ │ ├── best_model.gz │ │ │ └── description.json │ │ ├── 40c76916-23f2-4697-91f9-0ef91440f57d │ │ │ ├── best_model.gz │ │ │ └── description.json │ │ ├── 415fe39c-0729-41b6-bf8a-a04570042f5c │ │ │ ├── best_model.gz │ │ │ └── description.json │ │ ├── 8f1969fa-0f79-426e-aaa5-7ab3a076a215 │ │ │ ├── best_model.gz │ │ │ └── description.json │ │ ├── a2eb4aed-90de-4968-8535-a424588c0dfa │ │ │ ├── best_model.gz │ │ │ └── description.json │ │ └── be685bd5-eaab-4c22-b2e6-c487ecc8773c │ │ │ ├── best_model.gz │ │ │ └── description.json │ └── run.py │ ├── run_experiments.py │ ├── run_supervised_experiments.py │ ├── scores.py │ ├── train_test_val_split.py │ └── utils.py └── scripts ├── __init__.py ├── datasets_to_h5 ├── cap │ └── to_h5_mne.py ├── dreem_open_datasets │ └── to_h5.py ├── mass │ └── to_h5.py ├── mesa │ └── to_h5.py ├── mros │ └── to_h5.py ├── shhs │ └── to_h5.py ├── sleep_edf │ └── to_h5.py └── sleep_edf_in_bed │ ├── sleep_edf_meta.csv │ └── to_h5_no_lights.py ├── evaluation ├── fig_3 │ └── eval.py ├── fig_4 │ └── eval.py ├── fig_5 │ └── eval.py ├── fig_6 │ └── eval.py ├── table_2 │ ├── DT.py │ ├── FT.py │ └── LfS.py ├── table_3 │ └── eval.py └── table_4 │ └── eval.py ├── minimal_exemple ├── config │ ├── memmaps_description │ │ ├── cap.json │ │ ├── dodh.json │ │ ├── dodo.json │ │ └── sleep_edf.json │ ├── model_settings │ │ ├── description.json │ │ └── normalization.json │ └── perf_by_records │ │ ├── cap.json │ │ ├── dodh.json │ │ ├── dodo.json │ │ └── sleep_edf.json ├── download_data.py └── run.py ├── plots ├── fig_3 │ ├── DT_results.csv │ ├── LfS_results.csv │ └── plot.py ├── fig_4 │ ├── plot.py │ └── results.csv ├── fig_5 │ ├── LfS_results.csv │ ├── eval_cross_datasets.py │ ├── plot.py │ └── transfer_between_datasets.csv ├── fig_6 │ ├── FT_learning_curve.csv │ ├── FT_results.csv │ ├── LfS_results.csv │ └── plot.py └── scorers_variability │ ├── new_plot.py │ ├── plot.py │ └── results.csv └── train ├── config ├── memmaps_description │ ├── cap.json │ ├── dodh.json │ ├── dodo.json │ ├── mass.json │ ├── mesa.json │ ├── mros.json │ ├── shhs.json │ ├── sleep_edf.json │ └── sleep_edf_in_bed.json ├── model_settings │ ├── description.json │ └── normalization.json ├── perf_by_records │ ├── cap.json │ ├── dodh.json │ ├── dodo.json │ ├── mass.json │ ├── mesa.json │ ├── mros.json │ ├── shhs.json │ ├── sleep_edf.json │ └── sleep_edf_in_bed.json └── supervised_learning_split │ ├── cap.json │ ├── dodh.json │ ├── dodo.json │ ├── mass.json │ ├── mass_ss1.json │ ├── mass_ss3.json │ ├── mesa.json │ ├── mros.json │ ├── shhs.json │ ├── sleep_cassette_153.json │ ├── sleep_cassette_153_in_bed.json │ ├── sleep_cassette_39.json │ ├── sleep_cassette_39_in_bed.json │ ├── sleep_edf_extended.json │ ├── sleep_edf_extended_in_bed.json │ ├── sleep_telemetry.json │ └── sleep_telemetry_in_bed.json ├── fig_3 └── train.py ├── fig_5 └── 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