lightning
https://github.com/lightning-ai/lightning
Python
Deep learning framework to train, deploy, and ship AI products Lightning fast.
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Help out
- Issues
- Documentation for filename convention of save_top_k in ModelCheckpoint
- training=False when use a pretrained model like BERT
- docs: Bump HPU refs [rebase & merge]
- [Bug] The progress bar of iteration-based trainer does not show the total steps.
- Ddp strategy alias added
- Have an example of showing explicitly how to calculate metrics in DDP for lightning 2.2.0
- Error when disabling an optimizer with native AMP turned on
- CSV Logger acts weirdly in Callbacks
- OptimizerLRScheduler typing does not fit examples
- LightningCLI doesn't save optimizer's configuration if not explicitly given
- Docs
- Python not yet supported