Machine Learning

Group:	Wikimedia Data Team
Team members:	Andy Craze, Kevin Bazira, Tobias Klausmann, Luca Toscano
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.

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

Lift Wing -- A scalable machine learning model serving infrastructure build off Kubeflow.
ORES -- Machine learning prediction as a web service (see the list of tools that use ORES)
m: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 -- Robust false-positive and feedback gathering system, to allow human refutation and review of ORES scoring.