├── 1st Place ├── .gitignore ├── LICENSE ├── README.txt ├── input │ └── .gitkeep ├── reports │ ├── DrivenData-Competition-Winner-Documentation.pdf │ └── image-from-writeup.jpg ├── requirements.txt └── src │ ├── a00_common_functions.py │ ├── a01_adam_accumulate.py │ ├── classification_models_3D │ ├── __init__.py │ ├── __version__.py │ ├── keras.py │ ├── models │ │ ├── __init__.py │ │ ├── _common_blocks.py │ │ ├── densenet.py │ │ ├── inception_resnet_v2.py │ │ ├── inception_v3.py │ │ ├── mobilenet.py │ │ ├── mobilenet_v2.py │ │ ├── resnet.py │ │ ├── resnext.py │ │ ├── senet.py │ │ ├── vgg16.py │ │ └── vgg19.py │ ├── models_factory.py │ ├── tfkeras.py │ └── weights.py │ ├── net_v13_3D_roi_regions_densenet121 │ ├── a01_validation_callback.py │ ├── a03_models_3D_pretrained.py │ └── r31_train_3D_model_dn121.py │ ├── net_v14_d121_auc_large_valid │ ├── a01_validation_callback.py │ ├── a03_models_3D_pretrained.py │ └── r31_train_3D_model_dn121.py │ ├── net_v20_d121_only_tier1_finetune │ ├── a01_validation_callback.py │ ├── a03_models_3D_pretrained.py │ ├── r31_train_3D_model_dn121.py │ ├── r41_process_validation_and_test.py │ ├── r42_process_test.py │ └── r52_create_heatmap_video.py │ ├── preproc_data │ ├── r01_extract_roi_parts.py │ ├── r03_gen_kfold_split.py │ └── r05_get_files_data.py │ ├── run_inference.sh │ ├── run_train.sh │ └── volumentations │ ├── __init__.py │ ├── augmentations │ ├── __init__.py │ ├── functionals.py │ └── transforms.py │ └── core │ ├── __init__.py │ ├── composition.py │ └── transforms_interface.py ├── 2nd Place ├── LICENSE ├── README.md ├── predict.sh ├── preprocess.sh ├── reports │ └── DrivenData-Competition-Winner-Documentation.pdf ├── requirements.txt ├── src │ ├── dataset.py │ ├── metric.py │ ├── model.py │ ├── models │ │ ├── __init__.py │ │ ├── densenet.py │ │ ├── pre_act_resnet.py │ │ ├── resnet.py │ │ ├── resnet2p1d.py │ │ ├── resnext.py │ │ └── wide_resnet.py │ ├── predict.py │ ├── preprocess.py │ ├── preprocess_dl.py │ ├── preprocess_dl2.py │ ├── submit.py │ ├── train.py │ └── utils.py ├── test.sh └── train.sh ├── 3rd Place ├── LICENSE ├── README.md ├── data │ └── .gitkeep ├── models │ └── .gitkeep ├── notebooks │ ├── download_data.ipynb │ ├── ensemble_submission.ipynb │ ├── model_inference.ipynb │ ├── preprocess_data.ipynb │ ├── script │ │ ├── download_data.py │ │ ├── ensemble_submission.py │ │ ├── model_inference.py │ │ ├── preprocess_data.ipynb.py │ │ ├── preprocess_data.py │ │ ├── single_model_submission.py │ │ └── train_model.py │ ├── single_model_submission.ipynb │ └── train_model.ipynb ├── reports │ └── DrivenData-Competition-Winner-Documentation.pdf ├── requirements.txt └── submissions │ └── .gitkeep ├── LICENSE ├── MATLAB Bonus Prize ├── README.txt ├── reports │ └── DrivenData-Competition-Winner-Documentation.pdf └── src │ ├── custom_ClassificationLayer.m │ ├── main_file.mlx │ ├── pdf │ ├── main_file.pdf │ └── preparing_training_data.pdf │ ├── preparing_training_data.mlx │ └── script │ ├── 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