The all-in-one platform for AI development. Code together. Prototype. Train. Scale. Serve. From your browser - with zero setup. From the creators of PyTorch Lightning.
PyTorch Lightning is a lightweight PyTorch wrapper for high-performance AI research. It makes your code neatly organized and scalable by decoupling the research from the engineering. PyTorch Lightning is designed to abstract away the boilerplate code, allowing researchers to focus on the research itself rather than the engineering details.
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Easily scale your models across multiple GPUs, TPUs, and CPUs without changing your code.
Reduces the amount of boilerplate code, making your research code cleaner and more readable.
Encourages modular design by separating the research code from the engineering code.
Ensures that your experiments are reproducible with minimal effort.
Backed by a vibrant community of researchers and developers, offering extensive support and resources.
Seamlessly integrates with popular tools and libraries in the PyTorch ecosystem.
Automatically optimizes performance, allowing you to focus on the research rather than the optimization.
Apache License 2.0
https://github.com/PyTorchLightning/pytorch-lightning
Comprehensive documentation available at https://pytorch-lightning.readthedocs.io/
Active community on Slack and GitHub for support and collaboration.
Open to contributions from the community, with guidelines available on the GitHub repository.
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