How to Contribute to Lightning

Lightning AI’s open-source ecosystem includes PyTorch Lightning for building and deploying PyTorch models, Lightning Fabric for scalable model training control, TorchMetrics for distributed-training metrics, and Lightning Apps for full-stack AI applications. Contributions can be code-based, such as resolving bugs, implementing features, or correcting source-code issues through pull requests, or non-code-based, including documentation, tutorials, presentations, and social-media promotion. Contributors are encouraged to browse GitHub issues, especially those labeled “good first issue,” review project guidelines, ask maintainers to assign work to avoid duplication, fork and clone the repository, create a branch, implement and test changes, and submit a clearly described pull request linked to the relevant issue. Maintainers review pull requests, provide feedback when needed, and merge approved changes after tests pass, while the process emphasizes collaboration, learning, and asking for help through community channels such as Discord.

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