Neptune-mlflow is an open source project curated by Neptune team, that integrates MLflow with Neptune to let you get the best of both worlds. Enjoy tracking and reproducibility of MLflow with organization and collaboration of Neptune.
With neptune-mlflow you can have your mlflow experiment runs hosted in Neptune.
pip install neptune-mlflow
Sync your MLruns with Neptune
Navigate to your MLflow project in your directory and run:
neptune mlflow --project USER_NAME/PROJECT_NAME
Alternatively you can point to MLflow project directory:
neptune mlflow /PATH/TO/MLflow_PROJECT --project USER_NAME/PROJECT_NAME
That’s it! You can now browse and collaborate on your MLflow runs in Neptune.
With neptune-tensorboard you can have your TensorBoard visualizations hosted in Neptune.
pip install neptune-tensorboard
Sync TensorBoard logdir with Neptune
Point Neptune to your TensorBoard logs directory:
neptune tensorboard /PATH/TO/TensorBoard_logdir --project USER_NAME/PROJECT_NAME
That’s it! You can now browse and collaborate on your TensorBoard runs in Neptune.
Neptune-contrib is an open source project curated by Neptune team. It is collection of framework integrations, functions and other productivity helpers that makes your work with Neptune faster and more efficient.
pip install neptune-contrib