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 supported6 Subscribers
Add a CodeTriage badge to pytorch-lightning
Help out
- Issues
- AttributeError: module 'pytorch_lightning.callbacks' has no attribute 'ProgressBarBase'. Did you mean: 'ProgressBar'?
- Using the MLflow logger produces Inconsistent metric plots
- (4/n) Support 2D Parallelism - Loading optimizer states correctly
- Remove redundant code to set the device on the LightningModule
- Possible bug in recognizing `mps` accelerator even though PyTorch seems to register the `mps` device?
- Error loading a saved model to run inference (using ddp_notebook strategy)
- (3/n) Support 2D Parallelism - Efficient loading of full-state checkpoints
- Resume training, how to change learning scheduler?
- Added some more potentially robust ways to do learning rate tuning
- Add dog has an error: FileNotFoundError:
- Docs
- Python not yet supported