MLflow is an open-source platform that manages the complete machine learning lifecycle, from experimentation and reproducibility to deployment. It offers tools for tracking experiments, packaging code, and managing model versions. MLflow integrates well with a variety of ML libraries and frameworks. Its modular architecture enables teams to adopt parts of the tool incrementally. This platform is widely adopted to ensure consistent and reproducible ML workflows.
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