6685b49db3
* ⚡ add lightning colab tutorial notebooks * Update notebooks/01-mnist-hello-world.ipynb * Update notebooks/03-basic-gan.ipynb * Update notebooks/04-transformers-text-classification.ipynb * Update notebooks/02-datamodules.ipynb * add jupytext * 🐛 comment ipynb related things in conf.py * 🔥 remove .py files Co-authored-by: Jirka Borovec <jirka@pytorchlightning.ai> |
||
|---|---|---|
| .. | ||
| 01-mnist-hello-world.ipynb | ||
| 02-datamodules.ipynb | ||
| 03-basic-gan.ipynb | ||
| 04-transformers-text-classification.ipynb | ||
| README.md | ||
README.md
Lightning Notebooks ⚡
Official Notebooks
You can easily run any of the official notebooks by clicking the 'Open in Colab' links in the table below 😄
| Notebook | Description | Colab Link |
|---|---|---|
| MNIST Hello World | Train your first Lightning Module on the classic MNIST Handwritten Digits Dataset. |  |
| Datamodules | Learn about DataModules and train a dataset-agnostic model on MNIST and CIFAR10. | |
| GAN | Train a GAN on the MNIST Dataset. Learn how to use multiple optimizers in Lightning. | |
| BERT | Fine-tune HuggingFace Transformers models on the GLUE Benchmark | |