Automatically track skorch model training progress to Neptune
- Log skorch metrics to Neptune
- Analyse deep learning experiments and share them with your team
- Compare experiments and gain insights
Experiments tracking
Experiments sharing in the team
Experiments comparison
Collaboration
Notebooks tracking and sharing
Notebooks comparison
Team management
Open source integrations
Hardware monitoring for experiments
Interactive experiments dashboard
Track skorch model training progress to Neptune automatically
Experiment management tool with skorch integration. Track deep learning model training to Neptune.
Neptune integration with skorch is part of the skorch library. To track deep learning experiments to neptune simply import NeptuneLogger callback. While learning curves and metrics are tracked automatically, you can also log: model weights, parameters, images and more.
Support for deep learning libraries
- Start instantly with out-of-the-box integration.
- Track rich data (metrics, text, images, files and more).
- Save model weights.
Shareable visualizations
- All charts visible for team members.
- Compare across multiple experiments and gain insight.
- Download charts from UI.
Backed up experiments history
- All visualizations are stored and secured.
- Keep all history – review when needed.
- Secured Intellectual Property (IP).
Register and try it out!
