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@scikit-multilearn-ng

scikit-multilearn-ng

Advancing multi-label machine learning through scikit-multilearn-ng, a community-driven continuation of scikit-multilearn.

Hi there đź‘‹

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

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.

Get Involved and Support Us

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.

Projects

  • 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.

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  1. scikit-multilearn-ng scikit-multilearn-ng Public

    A new maintained "successor" to scikit-multilearn, a scikit-learn based module for multi-label et. al. classification

    Python 19 1

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