Only the notebook inputs (and optionally, the metadata) are included. Text notebooks are well suited for version control. You can also edit or refactor them in an IDE - the .py notebook above is a ...

├── pytorch_basics.py # Tensor ops, autograd, GPU usage ├── train_model.py # Neural network training loop ├── data_loading.py # Dataset & DataLoader examples ├── model_export.py # TorchScript model ...