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How to help PyTorch Lattice

Star PyTorch Lattice on GitHub

⭐️ You can "star" PyTorch Lattice on GitHub ⭐️

Connect with the author

  • Follow me on GitHub

    • See other related Open Source projects that might help you with machine learning
  • Follow me on Twitter/X

    • Tell me how you use lattice models
    • Hear about new announcements or releases
  • Connect with me on LinkedIn

    • Give me any feedback about packages or suggestions

Post about PyTorch Lattice

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  • We love to hear about how PyTorch Lattice has helped you and in which project/company you are using it.

Help Others

We are a kind and welcoming community that encourages you to help others with their questions on GitHub Issues / Discussions.

  • Guide for asking questions
    • First, search through issues and discussions to see if others have faced similar issues
    • Be as specific as possible, add minimal reproducible example
    • List out things you have tried, errors, etc
    • Close the issue if your question has been successfully answered
  • Guide for answering questions
    • Understand the question, ask clarifying questions
    • If there is sample code, reproduce the issue with code given by original poster
    • Give them solution or possibly an alternative that might be better than what original poster is trying to do
    • Ask original poster to close the issue

Review Pull Requests

You are encouraged to review any pull requests. Here is a guideline on how to review a pull request:

  • Understand the problem the pull request is trying to solve
  • Ask clarification questions to determine whether the pull request belongs in the package
  • Check the code, run it locally, see if it solves the problem described by the pull request
  • Add a comment with screenshots or accompanying code to verify that you have tested it
  • Check for tests
    • Request the original poster to add tests if they do not exist
    • Check that tests fail before the PR and succeed after
  • This will greatly speed up the review process for a PR and will ultimately make SOTAI a better package