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2.3k

17.7k

mit

407

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

mlops ml-ops awesome data-mining awesome-list deep-learning ml-operations production-ml explainability large-scale-ml responsible-ai interpretability machine-learning privacy-preserving privacy-preserving-ml machine-learning-operations production-machine-learning large-scale-machine-learning privacy-preserving-machine-learning

Created 2018-08-15

1,027 commits to master branch, last one a day ago

832

4.4k

other

86

An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models

aiops mlops serving deployment kubernetes machine-learning machine-learning-operations production-machine-learning

Created 2017-12-20

7,332 commits to master branch, last one 23 days ago

25

205

apache-2.0

6

⚓ Eurybia monitors model drift over time and securizes model deployment with data validation

drift python data-drift html-report model-drift data-validation drift-detection machine-learning model-monitoring domain-classifier datadrift-classifier production-machine-learning

Created 2022-05-02

124 commits to master branch, last one about a month ago

28

71

apache-2.0

5

Free Open-source ML observability course for data scientists and ML engineers. Learn how to monitor and debug your ML models in production.

mlops llmops data-drift data-quality ml-pipelines ml-monitoring ml-observability model-monitoring model-performance data-quality-checks machine-learning-operations production-machine-learning

Created 2023-10-05

288 commits to main branch, last one 12 months ago

4

32

apache-2.0

0

A modern, enterprise-ready business intelligence web application

mlops python data-science drift-detection machine-learning model-monitoring pandas-dataframe data-visualization machine-learning-operations production-machine-learning

Created 2022-08-28

186 commits to master branch, last one 2 years ago