MLflow (currently in alpha) is an open source platform to manage the ML lifecycle, including experimentation, reproducibility and deployment. It currently offers three components: - MLflow Tracking Record and query experiments: code, data, config, and results. - MLflow Projects Packaging format for reproducible runs on any platform. - MLflow Models General format for sending models to diverse deployment tools.
MLflow alternatives and similar packages
Based on the "Machine Learning" category
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