MLflow
About
An open-source platform for managing the end-to-end machine learning lifecycle, developed by Databricks.
Features
Key Capabilities: Provides tools for experiment tracking, model versioning, deployment, and a central model registry, supporting various ML libraries and environments.
Use Cases: Ideal for teams looking for a flexible, open-source solution to manage and deploy machine learning models across different platforms.
Use Cases: Ideal for teams looking for a flexible, open-source solution to manage and deploy machine learning models across different platforms.
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