ε

Contribute to ε

Help shape the future of open-source machine learning research.

Ways to Contribute

Code Contributions

Submit improvements, new features, or bug fixes to our core platform and projects.

Contribute Code

Documentation

Improve documentation, tutorials, or create new guides for better community adoption.

Improve Docs

Community

Help review pull requests, answer questions, or guide new contributors.

Join Community

How to Contribute

1

Fork & Clone

Start by forking the ε repository on GitHub and cloning your fork locally.

git clone git@githum.com:your-username/epsilon.git
2

Branch & Build

Create a new branch for your changes and make sure to run the test suite locally before submitting.

npm install && npm test
Ensure all tests pass and commits follow conventional commit style.
3

Submit a PR

Create a pull request, and reference any related issues. All PRs should pass CI checks.

For documentation contributions, see our contributing guide.

Code & Community Guidelines

Code of Conduct

We enforce a strict code of conduct for all contributors. All communication should be respectful and inclusive.

Read Code of Conduct

Contributing Standards

Contributions require clear documentation, passing tests, and alignment with our roadmap priorities.

View Guidelines

Ready to Make an Impact?

Whether it's code, documentation, or community participation, your contribution matters.

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