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01-mnist-hello-world.ipynb		01-mnist-hello-world.ipynb
02-datamodules.ipynb		02-datamodules.ipynb
03-basic-gan.ipynb		03-basic-gan.ipynb
04-transformers-text-classification.ipynb		04-transformers-text-classification.ipynb
05-trainer-flags-overview.ipynb		05-trainer-flags-overview.ipynb
06-mnist-tpu-training.ipynb		06-mnist-tpu-training.ipynb
07-cifar10-baseline.ipynb		07-cifar10-baseline.ipynb
README.md		README.md

README.md

Lightning 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
Trainer Flags	Overview of the available Lightning `Trainer` flags
TPU Training	Train a model on MNIST using TPUs with Lightning
94% Baseline CIFAR10	Establish a quick baseline of ~94% accuracy on CIFAR10 using Resnet in Lightning