pytorch-lightning
https://github.com/pytorchlightning/pytorch-lightning
Python
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
Triage Issues!
When you volunteer to triage issues, you'll receive an email each day with a link to an open issue that needs help in this project. You'll also receive instructions on how to triage issues.
Triage Docs!
Receive a documented method or class from your favorite GitHub repos in your inbox every day. If you're really pro, receive undocumented methods or classes and supercharge your commit history.
Python not yet supported10 Subscribers
Add a CodeTriage badge to pytorch-lightning
Help out
- Issues
- MLflow model format required for the Register Model
- Fix broken examples exploration link in README (404 Error)
- Lightning sets shuffle=True for custom samplers when wrapping them for distributed sampling
- Manual `Dataloader` reloading during training
- fix: AdvancedProfiler: ValueError: Attempting to stop recording a
- Add DeviceSummary callback to control device printout
- forced CPU-GPU optimization at the end of every training step resulting in underutilization of GPU
- Add interval: "batch" option for learning rate schedulers
- build(deps): update sphinx requirement from <6.0,>5.0 to >5.0,<10.0 in /requirements
- Tensorboard logging breaks with certain scalar values with numpy >= 2.4.0
- Docs
- Python not yet supported