evidentlyai / ml_observability_course

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

Date Created 2023-10-05 (about a year ago)

Commits 288 (last one 12 months ago)

Stargazers 71 (0 this week)

Watchers 5 (0 this week)

Forks 28

License apache-2.0

Ranking

RepositoryStats indexes 589,134 repositories, of these evidentlyai/ml_observability_course is ranked #368,263 (37th percentile) for total stargazers, and #333,644 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #9,243/17,281.

evidentlyai/ml_observability_course is also tagged with popular topics, for these it's ranked: mlops (#298/415), llmops (#125/166)

Other Information

evidentlyai/ml_observability_course has 4 open pull requests on Github, 16 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 2 open issues and 0 closed issues.

All Topics

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

Star History

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Github watchers over time, collection started in '23

Recent Commit History

288 commits on the default branch (main) since jan '22

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Languages

The primary language is Jupyter Notebook but there's also others...

updated: 2024-11-29 @ 07:37pm, id: 700909817 / R_kgDOKccI-Q