17 lines (16 with data), 317 Bytes

albumentations~=0.4.6
catalyst~=20.8.2
efficientnet-pytorch==0.6.3
ipywidgets~=7.5.1
matplotlib~=3.3.1
nibabel~=3.1.1
numpy~=1.19.1
pydicom~=2.0.0
PyYAML~=5.4.1
scikit-multilearn~=0.2.0
seaborn~=0.10.1
segmentation_models_pytorch~=0.1.0
SimpleITK~=1.2.4
tensorboard~=2.3.0
torch==1.6.0+cu101
torchvision==0.7.0+cu101