14 lines
1.7 KiB
Markdown
14 lines
1.7 KiB
Markdown
# Lightning Notebooks ⚡
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## Official Notebooks
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You can easily run any of the official notebooks by clicking the 'Open in Colab' links in the table below :smile:
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| Notebook | Description | Colab Link |
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| :--- | :--- | :---: |
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| __MNIST Hello World__ | Train your first Lightning Module on the classic MNIST Handwritten Digits Dataset. | [](https://colab.research.google.com/github/PytorchLightning/pytorch-lightning/blob/master/notebooks/01-mnist-hello-world.ipynb) |
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| __Datamodules__ | Learn about DataModules and train a dataset-agnostic model on MNIST and CIFAR10.| [](https://colab.research.google.com/github/PytorchLightning/pytorch-lightning/blob/master/notebooks/02-datamodules.ipynb)|
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| __GAN__ | Train a GAN on the MNIST Dataset. Learn how to use multiple optimizers in Lightning. | [](https://colab.research.google.com/github/PytorchLightning/pytorch-lightning/blob/master/notebooks/03-basic-gan.ipynb) |
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| __BERT__ | Fine-tune HuggingFace Transformers models on the GLUE Benchmark | [](https://colab.research.google.com/github/PytorchLightning/pytorch-lightning/blob/master/notebooks/04-transformers-text-classification.ipynb) |
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| __Trainer Flags__ | Overview of the available Lightning `Trainer` flags | [](https://colab.research.google.com/github/PytorchLightning/pytorch-lightning/blob/master/notebooks/05-trainer-flags-overview.ipynb) |
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