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Keepsake is a lightweight, open-source version control system for machine learning that automatically saves your training code, model weights, and metadata to Amazon S3 or Google Cloud Storage as you train. It lets you time-travel to past checkpoints, retrieve code and weights, and load models for inference via Python or CLI, with data stored as tarballs and JSON files and no dedicated server. It supports major frameworks (TensorFlow, PyTorch, scikit-learn, XGBoost) and promotes reproducibility by enabling experiment analysis, comparison, and tracking of dependencies.
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