MLflow Server
An open MLflow server for hands-on experiment tracking.
About
MLflow is a platform to manage the ML lifecycle: experimentation, reproducibility, deployment and a central model registry. This instance is hosted for community use and experimentation.
What you can do
- Track experiments and parameters
- Compare model performance
- Manage model versions
- Register and deploy models
Personal project with no affiliation with Databricks or the official MLflow project. Use at your own discretion; for production, refer to the official MLflow documentation.