lightning/.github/ISSUE_TEMPLATE/documentation.md

34 lines
1.4 KiB
Markdown
Raw Normal View History

2019-08-07 15:12:05 +00:00
---
name: Typos and doc fixes
2021-11-15 13:44:20 +00:00
about: Tell us about how we can improve our documentation
2019-08-07 15:12:05 +00:00
title: ''
labels: needs triage
2019-08-07 15:12:05 +00:00
assignees: ''
---
2019-12-09 01:07:24 +00:00
## 📚 Documentation
2019-12-07 05:23:01 +00:00
2019-08-07 15:12:05 +00:00
For typos and doc fixes, please go ahead and:
1. Create an issue.
1. Fix the typo.
1. Submit a PR.
2019-08-07 15:12:05 +00:00
For very simple fixes, you can submit a PR without a linked issue.
2019-08-07 15:12:05 +00:00
Thanks!
2021-11-03 23:32:58 +00:00
______________________________________________________________________
#### If you enjoy Lightning, check out our other projects! ⚡
- [**Metrics**](https://github.com/Lightning-AI/metrics): Machine learning metrics for distributed, scalable PyTorch applications.
2021-11-03 23:32:58 +00:00
- [**Lite**](https://pytorch-lightning.readthedocs.io/en/latest/starter/lightning_lite.html): enables pure PyTorch users to scale their existing code on any kind of device while retaining full control over their own loops and optimization logic.
- [**Flash**](https://github.com/Lightning-AI/lightning-flash): The fastest way to get a Lightning baseline! A collection of tasks for fast prototyping, baselining, fine-tuning, and solving problems with deep learning.
2021-11-03 23:32:58 +00:00
- [**Bolts**](https://github.com/Lightning-AI/lightning-bolts): Pretrained SOTA Deep Learning models, callbacks, and more for research and production with PyTorch Lightning and PyTorch.
2021-11-03 23:32:58 +00:00
- [**Lightning Transformers**](https://github.com/Lightning-AI/lightning-transformers): Flexible interface for high-performance research using SOTA Transformers leveraging PyTorch Lightning, Transformers, and Hydra.