Machine Learning/pl

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.

Projekty

 * 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
 * [ Archived ] - Robust false-positive and feedback gathering system, to allow human refutation and review of ORES scoring.



Co nowego?
Jesteś zainteresowany tym, nad czym obecnie pracujemy?


 * 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

Work with us
Mam pytanie? Chcesz porozmawiać z zespołem lub naszą społecznością wolontariuszy na temat uczenia maszynowego? Here are the best ways to connect with us.

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

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
 * Andy Craze - Senior Software Engineer