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 supported12 Subscribers
Add a CodeTriage badge to pytorch-lightning
Help out
- Issues
- Assert the metric collection call count in test_metriccollection_compute_groups
- build(deps): update hydra-core requirement from <1.4.0,>=1.2.0 to >=1.3.6,<1.4.0 in /requirements
- build(deps): bump actions/setup-python from 6.2.0 to 7.0.0
- build(deps): bump pytest from 9.0.2 to 9.1.1 in /requirements
- build(deps): bump pytest-rerunfailures from 16.1 to 16.6.1 in /requirements
- fix(trainer): ensure model configure_callbacks ProgressBar overrides default
- docs: add :emphasize-lines: directives to code blocks in code_structure.rst
- Fix resumed training drawing the first epoch with sampler epoch 0 when the dataloader uses workers
- feat(callbacks): add `min_delta` parameter to `ModelCheckpoint` (#14353)
- feat(TQDMProgressBar): add warmup_batches to exclude torch.compile overhead from ETA
- Docs
- Python not yet supported