Welcome to the Machine Learning REPA: Reproducibility, Experiments and Pipelines Automation!
The ML REPA track is traditionally dedicated to the tools and practices of experiment management in Machine Learning, Reproducibility and process automation.
We have a fairly wide range of topics that overlap with the topics of other tracks - ML Infra, SysML, Lean Data Science and others. All these topics are related, and the task of ML REPA is to show how to build a process for developing ML solutions, how to organize teamwork and what tools can help you.
Трек ML REPA традиционно посвящен инструментам и практиками управления экспериментами в Machine Learning, воспроизводимости (Reproducibility) и автоматизации процессов.
У нас довольно широкий спектр тем, которые пересекаются с темами других треков - ML Infra, SysML, Lean Data Science и другими. Все эти темы связаны, и задача ML REPA - показать, как выстроить процесс разработки ML решений, как организовать командную работу и какие технологии могут в этом помочь.
Website: https://mlrepa.ru/
Telegram: https://t.me/mlrepa
ODS Slack: #mlrepa
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