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Awesome GitHub RepositoriesMachine Learning Ops Resources
Curated collections of tools and practices for machine learning operations.
Distinguishing note: This is a curated list of resources, not an MLOps platform or framework.
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Awesome Machine Learning Ops Resources GitHub Repositories
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- sdras/awesome-actions
sdras/awesome-actions
27,475View on GitHubThis project is a curated directory of reusable components and integration scripts designed to extend the functionality of continuous integration and deployment pipelines. It serves as a comprehensive knowledge base for developers, providing a structured index of community-vetted tools that assist in implementing best practices for software workflows and automation. The directory distinguishes itself through a community-driven approach, relying on external contributions to maintain an up-to-date catalog of resources. It organizes these tools into a hierarchical taxonomy, allowing users to nav
Machine Learning Ops — a named example documented in this learning resource.
actionsactions-listawesome
