Machine Learning

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.

Working 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.

Projects

 * 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.

Former Staff And Volunteers

 * とある白い猫 (IEG)
 * Arthur Tilley (IEG)
 * He7d3r (IEG/Volunteer)
 * YuviPanda (Volunteer)
 * Sumit (Research Intern)
 * Ewitch (Research Intern)
 * Marius Hoch (Software Engineer)
 * Max Klein (Software Engineer)
 * Adam Wight (Software Engineer)
 * Natalia Timakova (Research Intern)
 * Amir Sarabadani (Software Engineer)
 * Nate TeBlunthuis (Research Intern)
 * James Hare (Associate Product Manager)
 * Aaron Halfaker (Principal Research Scientist & Team Lead)
 * Habeeb Shopeju (Software Engineering Intern)