swe-train/mlflow__mlflow

MLflow is an open-source platform for managing the machine learning lifecycle, including experimentation, reproducibility, and deployment. It provides tools for tracking experiments, packaging code into reproducible runs, and serving models, making it ideal for data scientists and machine learning engineers looking to streamline their workflows. The platform supports integration with popular libraries like scikit-learn and offers a user-friendly tracking UI for monitoring and comparing runs.