文件名称：meetups:ML REPA聚会的内容
文件大小：62.7MB
文件格式：ZIP
更新时间：2024-04-04 10:53:46
ML REPA MeetUps：幻灯片和材料 Материалы，презентациииссылкинавидеопопрошедшиммитапамML REPA。 Подбробнееомитапах，материалыиновости насайтеml- втелеграм-каналеt.me/ Митапы： 聚会1-可重现的ML实验 Нашпервыймитап！ 机器学习。 Примеры，демонстрацияинструментов，реальныхпроблемикейсов。 数据科学家，数据工程师和产品/项目经理。 ЭмелиДраль-基于ML的制造服务：从可重复性到自动化 РоманТезиков-简历中的可重复性。 概述 МихаилРожков-工作坊：DVC MLэкспериментовиверсионированияданных 聚会2：
【文件预览】：
meetups-master
----.gitignore(62B)
----logo_repa.svg(5KB)
----Meetup-1-Reproducible-ML-experiments()
--------1 - Emeli Dral - ML-based services for manufacturing.pdf(44.98MB)
--------3 - Mikhail Rozhkov - DVC -1-get-started.pdf(1.26MB)
--------2 - Roman Tezikov - Reproducibility in CV. Overview.pdf(1.22MB)
--------4 - Mikhail Rozhkov - DVC -2-iris-demo.pdf(1.62MB)
--------0 - ML REPA_Intro.pdf(884KB)
----logo-1-w100.png(14KB)
----Meetup-3-Reproducibility-Experiments-and-Pipelines-Automation-NLP()
--------3 - Benchmark of approaches to NLP pipelines automation_ AI plays words games.pdf(191KB)
--------2 - ML Projects and Process management (PM).pdf(1.1MB)
--------1 - ML experiments management, pipelines automation and reproducibility_ with DVC and MLFlow.pdf(1.11MB)
----README.md(5KB)
----Meetup-4-Towards-fully-automated-training-pipelines()
--------0 - ML REPA Meetup 4.pdf(1.01MB)
--------3 - Petr Ermakov-Airflow.pdf(4.84MB)
--------2 - Mikhail Rozhkov - NLP games and pipelines with Kubeflow.pdf(3.13MB)
--------1 - Artem Seleznev - MegaFon_Recommendation.pdf(911KB)
----Meetup-2-Data-and-Models-Version-control-Computer-Vision()
--------2 - Roman Tezikov_Deep dive into Catalyst.pdf(5.03MB)
--------3 - Dmitry Nikulin_Experiment management in research- case study.pdf(669KB)
--------1- Vlad Grozin_DVC vs MLFLOW.pdf(369KB)