ML
MLflow
ML lifecycle platform. Experiment tracking, model registry, deployment, and reproducibility.
About MLflow
MLflow is an open source platform for managing the end-to-end machine learning lifecycle. It tackles experiment tracking, reproducibility, deployment, and a central model registry.
Key Features
✓ Experiment tracking & comparison
✓ Model registry with versioning
✓ MLflow Projects for reproducibility
✓ Model deployment (REST, Docker, cloud)
✓ Plugin-based architecture
✓ Integration with all major ML frameworks
Why choose MLflow?
MLflow is an open source alternative to Weights & Biases, Neptune. Licensed under Apache-2.0, it gives you full access to the source code and the freedom to modify, self-host, and contribute. You can deploy it on your own servers for complete data ownership and privacy.