Machine Learning

Issue tracker: #machine-learning-team
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Revision as of 08:51, 5 December 2022 by ISarantopoulos-WMF (talk | contribs)
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Wikimedia Foundation projects
Machine Learning
Machine Learning at the Wikimedia Foundation
Group: Wikimedia Data Team
Team members: Aiko Chou, Kevin Bazira, Tobias Klausmann, Luca Toscano, Ilias Sarantopoulos
Lead: Chris Albon

Welcome to the homepage of the Wikimedia Foundation's Machine Learning team.

Our purpose

  • Design, build, and maintain the foundation's machine learning infrastructure.
  • Plan, train, deploy, and manage production machine learning models created or requested by Wikimedia teams or Wiki communities.
  • Develop best practices for applied ethical machine learning.

Projects

  • Lift Wing - A scalable machine learning model serving infrastructure on Kubernetes using KServe.
  • ORES - Objective Revision Evaluation Service is a machine learning prediction system as a web service. (See the list of tools that use ORES)
  • Wiki labels - Training interface where Wikipedians teach machines how to perform important tasks
  • revscoring - A machine prediction "scoring" framework for building prediction models used by ORES
  • JADE [Archived] - Robust false-positive and feedback gathering system, to allow human refutation and review of ORES scoring.

What's new?

Interested in what we are working on at the moment?


Work with us

Have a question? Want to talk to the team or our community of volunteers about machine learning? Here are the best ways to connect with us.

Team Chat

Discuss machine learning and watch the team work joining our public IRC chatroom #wikimedia-ml connect on irc.libera.chat.

Live Blog/Talk Page

Have a longer question? Want to follow what the team is working on? Visit our live blog. Visit our talk page

Kanban Board

Have a particular task you want to discuss or work on, join our public Phabricator board. Visit our work board

Feedback on infrastructure

Would you be interested in providing feedback on the upcoming Lift Wing infrastructure? Let us know by signing up below, with your username and home-wiki.

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Former staff and volunteers

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