lightning
https://github.com/lightning-ai/lightning
Python
Deep learning framework to train, deploy, and ship AI products Lightning fast.
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 supported5 Subscribers
Add a CodeTriage badge to lightning
Help out
- Issues
- MLFlow logger - save top k to server on N epochs
- The best practice to monitor the data loading time & training forward backward time
- chunkable datasets and dataloaders
- MLFlowLogger: log system metrics
- `BatchSizeFinder` with method `fit` and separate batch_size attributes for train and val (e.g., `self.train_batch_size` and `self.val_batch_size`)
- Validation stuck when trainers have different data size
- MisconfigurationException use cases
- Change `optimizer` or `lr_scheduler` in resuming training without removing the `global_step` information
- Tensorboard Logger is flushed on every step
- stateful dataloaders do not load their state_dict if self.trainer.estimated_stepping_batches called beforehand
- Docs
- Python not yet supported