PyTorch Lightning
PyTorch Lightning is a high level framework to abstract away your PyTorch boilerplate code
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PyTorch Lightning provides a lightweight wrapper for organizing your PyTorch code and easily adding advanced features such as distributed training and 16-bit precision. it enables scaling your models without the boilerplate. Some of its features are:
- Run your code on any hardware
- Performance & bottleneck profiler
- Model checkpointing
- 16-bit precision
- Run distributed training
Official Website Link : https://www.pytorchlightning.ai/
Links
Documentation
Documentation for PyTorch Lightning
Using PyTorch Lightning with Weights & Biases
Get started with PyTorch Lightning and Weights & Biases
Best Practices when using PyTorch Lightning with Weights & Biases
This guide walks you through how to get the most out of W&B while using PyTorch Lighting
How to Integrate PyTorch Lightning with Weights & Biases
A quick tutorial on integrating Lightning with W&B, complete with executable code and interactive visualizations
Multi-GPU Training Using PyTorch Lightning
In this report we will see how we can make our PyTorch script accelerator agnostic
Image Classification with PyTorch Lightning
A practical introduction on how to use PyTorch Lightning to improve the readability and reproducibility of your PyTorch code.
Transfer Learning Using PyTorch Lightning
A brief introduction to transfer learning using the PyTorch Lightning style guide
Digging into KITTI with W&B with PyTorch-Lightning Kitti
Semantic segmentation on Kitti dataset with Pytorch-Lightning
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