How to Track ML Model Training: Catalyst + neptune.ai Integration
What will you get with this integration?
Catalyst is a PyTorch framework for Deep Learning R&D. It is built with three main requirements in mind: reproducibility, rapid experimentation, and codebase reuse. Catalyst is a part of the PyTorch Ecosystem.
Neptune is integrated with Catalyst, so that you can automatically log:
- Hparams (hyper-parameters)
- Artifacts (videos, audio, model checkpoints, files, etc.)
- Hardware consumption statistics
- Stdout and stderr logs
- Training code and git commit information
Check the documentation
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