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fuzzylabs/awesome-open-mlops

An awesome-list guide cataloging free and open source tools for machine learning operations across the entire ML lifecycle.

awesome-open-mlops
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This repository from Fuzzy Labs provides a structured overview of open source MLOps tooling, organized by functional category including data annotation, validation, version control, experiment tracking, model training, validation, registries, feature stores, deployment, and monitoring. It serves as a curated index that helps practitioners discover and evaluate tools for operating ML systems in production environments.

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