There are many different ways to contribute to Fairlearn, for example:
Contribute code in the following areas:
unfairness mitigation algorithms fairness metrics visualizations
unfairness mitigation algorithms
fairness metrics
visualizations
Write example notebooks showcasing
case studies in new application domains usage of Fairlearn components
case studies in new application domains
usage of Fairlearn components
Improve documentation, including:
docstrings website content pointing out shortcomings of the existing documentation
docstrings
website content
pointing out shortcomings of the existing documentation
Report bugs.
Request new features.
Write proposals for larger changes.
All contributions are expected to follow the guide on How to talk and write about fairness in AI.