operatorai/modelstore
Open-source model registry that versions and stores ML models to local filesystem or cloud storage (AWS S3, GCP, Azure).
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Modelstore is a Python library that provides a model registry for versioning, exporting, and saving machine learning models to filesystem or cloud storage. It supports PyTorch, TensorFlow, Keras, scikit-learn, and Hugging Face transformers. Models are automatically versioned on upload, can be organized by domain and state, and can be downloaded or loaded back into memory. It functions both as a Python library and a command-line tool.
Frequently asked
- What is operatorai/modelstore?
- Open-source model registry that versions and stores ML models to local filesystem or cloud storage (AWS S3, GCP, Azure).
- Is modelstore open source?
- Yes — operatorai/modelstore is open source, released under the Apache-2.0 license.
- What language is modelstore written in?
- operatorai/modelstore is primarily written in Python.
- How popular is modelstore?
- operatorai/modelstore has 404 stars on GitHub.
- Where can I find modelstore?
- operatorai/modelstore is on GitHub at https://github.com/operatorai/modelstore.