This organization is dedicated to the development and maintenance of scikit-multilearn-ng, a successor to the scikit-multilearn Python library, focusing on multi-label machine learning.
Our mission is to continuously advance the field of multi-label learning by providing an updated, efficient, and user-friendly library. We aim to build a community around this project, encouraging collaboration, innovation, and knowledge sharing.
We welcome your involvement in various forms:
- Contribute: Offer code, documentation, bug reports, or feature requests.
- Collaborate: Join discussions, share ideas, and be a part of our decision-making process.
- Spread the Word: Help us grow by talking about our project within your network.
- Feedback: Your insights and suggestions are valuable for our growth and improvement.
- scikit-multilearn-ng: The main project, a continuation and enhancement of the original
scikit-multilearn. - Documentation: Ongoing efforts to improve and update the documentation.
- Community Outreach: Initiatives to engage with the wider machine learning community.
