├── LICENSE ├── README.md ├── Winning Model Documentation.pdf ├── directory_structure.txt ├── make_pred.sh ├── merge_prediction.py ├── prediction ├── submission_highefb0.csv └── submission_medianse50.csv ├── prostate-cancer-grade-assessment ├── sample_submission.csv ├── test.csv └── train.csv ├── train_cateek ├── SETTINGS.json ├── __pycache__ │ └── dataloader.cpython-36.pyc ├── create_images.py ├── data │ ├── bad.csv │ ├── biopsy_preprocess │ │ └── 5ebc2544193fed9aa6e846641a8d8f1e.png │ ├── models │ │ └── .DS_Store │ ├── test.csv │ ├── train.csv │ └── train_images │ │ └── .DS_Store ├── dataloader.py ├── main.py ├── models.py ├── opt.py ├── predict.py ├── readme.txt ├── requirements.txt └── utils.py ├── train_drhb ├── README.md ├── SETTINGS.json ├── data_custom │ └── .DS_Store ├── directory_structure.txt ├── models │ └── .DS_Store ├── predict.py ├── prepare_data.py ├── requirements.txt ├── select_model.py ├── submissions │ └── submission.csv ├── train_phase_1.py └── train_phase_2.py ├── train_rguo ├── entry_points.md ├── readme.md ├── requirements.txt └── train_code │ ├── .idea │ ├── .gitignore │ ├── inspectionProfiles │ │ └── profiles_settings.xml │ ├── misc.xml │ ├── modules.xml │ └── panda_submit.iml │ ├── SETTINGS.json │ ├── crop_level1.py │ ├── crop_next_level_parallel.py │ ├── crop_next_level_parallel_mode2.py │ ├── dataset │ ├── dataset_attention_v2.py │ ├── dataset_patchlabel_smoothv2.py │ ├── new_tiling.py │ ├── patch_extraction.py │ ├── patch_extraction_v2.py │ └── utilsv2.py │ ├── get_setting.py │ ├── get_validation_mode.py │ ├── meta_json │ ├── Validation_mode.json │ ├── mode0 │ │ ├── Attention_fold0.json │ │ ├── Attention_fold1.json │ │ ├── Attention_fold2.json │ │ ├── Attention_fold3.json │ │ └── Attention_fold4.json │ ├── mode1 │ │ ├── Attention_fold0.json │ │ ├── Attention_fold1.json │ │ ├── Attention_fold2.json │ │ ├── Attention_fold3.json │ │ └── Attention_fold4.json │ └── mode2 │ │ ├── Attention_fold0.json │ │ ├── Attention_fold1.json │ │ ├── Attention_fold2.json │ │ ├── Attention_fold3.json │ │ └── Attention_fold4.json │ ├── models │ ├── __init__.py │ ├── __pycache__ │ │ ├── __init__.cpython-36.pyc │ │ ├── model_warper.cpython-36.pyc │ │ ├── pooling.cpython-36.pyc │ │ └── utils.cpython-36.pyc │ ├── base_models │ │ ├── __init__.py │ │ ├── __pycache__ │ │ │ └── __init__.cpython-36.pyc │ │ ├── efficientnet │ │ │ ├── __init__.py │ │ │ ├── __pycache__ │ │ │ │ ├── __init__.cpython-36.pyc │ │ │ │ ├── model.cpython-36.pyc │ │ │ │ └── utils.cpython-36.pyc │ │ │ ├── model.py │ │ │ └── utils.py │ │ └── pretrained │ │ │ ├── __init__.py │ │ │ ├── __pycache__ │ │ │ ├── __init__.cpython-36.pyc │ │ │ ├── senet.cpython-36.pyc │ │ │ └── torchvision_models.cpython-36.pyc │ │ │ ├── senet.py │ │ │ └── torchvision_models.py │ ├── model_warper.py │ ├── pooling.py │ └── utils.py │ ├── pred_weights │ └── .DS_Store │ ├── predict_rguo_part1.py │ ├── predict_rguo_part2.py │ ├── prepare_level0.sh │ ├── radam.py │ ├── result_level1 │ └── .DS_Store │ 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