kleveross/ormb
Docker for Your ML/DL Models Based on OCI Artifacts
This tool helps machine learning engineers and data scientists manage their trained machine learning models efficiently. It takes your model files (like a SavedModel or other common formats) and stores them in a central registry, similar to how Docker manages software containers. This allows you to easily version, share, and publish models, ensuring everyone uses the correct version for deployment or further development.
474 stars. No commits in the last 6 months.
Use this if you need a centralized system to store, version, and share your machine learning models across your team or organization.
Not ideal if you only manage a few models locally or don't have a need for strict version control and sharing capabilities.
Stars
474
Forks
62
Language
Go
License
Apache-2.0
Category
Last pushed
Jan 26, 2024
Commits (30d)
0
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