Machine Learning/zh

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



目的

 * 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.
 * 我们为应用道德机器学习开发最佳实践.

目前專案

 * Machine Learning Model Cards
 * The Machine Learning Modernization Project
 * Lift Wing - A scalable machine learning model serving infrastructure on Kubernetes using KServe.
 * - 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
 * [存档] - 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?


 * Visit the talkpage for weekly summaries of the ML team
 * Join the ML Office Hours on Youtube
 * Livestream videos are also available on the Wikimedia ML YouTube channel



工作组
你有问题吗？您想与团队或我们的志愿者社区讨论机器学习吗？ 这是联系我们的最佳方式.

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.


 * Joris Darlington Quarshie



前工作人员和志愿者

 * 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
 * Andy Craze - Senior Software Engineer