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ColossalAI/examples/community/README.md

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[example] fix community doc (#3586) Adjusted the style of Community Examples to be consistent with other titles
2023-04-18 02:37:34 +00:00
## Community Examples
[example] reorganize for community examples (#3557)
2023-04-14 08:27:48 +00:00
Community-driven Examples is an initiative that allows users to share their own examples to the Colossal-AI community, fostering a sense of community and making it easy for others to access and benefit from shared work. The primary goal with community-driven examples is to have a community-maintained collection of diverse and exotic functionalities built on top of the Colossal-AI package.
If a community example doesn't work as expected, you can [open an issue](https://github.com/hpcaitech/ColossalAI/issues/new/choose) and @ the author to report it.
| Example | Description | Code Example | Colab |Author |
|:------------------|:---------------------------------------------------------------------------|:-------------------------------------------------------------------------------------------------------------------|:-----------------------------------------|-----------------------------------------------------:|
| RoBERTa | Adding RoBERTa for SFT and Prompts model training | [RoBERTa](./roberta) | - | [YY Lin](https://github.com/yynil) (Moore Threads) |
| TransformerEngine FP8 | Adding TransformerEngine with FP8 training | [TransformerEngine FP8](./fp8) | - | [Kirthi Shankar Sivamani](https://github.com/ksivaman) (NVIDIA) |
|...|...|...|...|...|
## Looking for Examples
* [Swin-Transformer](https://github.com/microsoft/Swin-Transformer)
* [T-5](https://github.com/google-research/text-to-text-transfer-transformer)
* [Segment Anything (SAM)](https://github.com/facebookresearch/segment-anything)
* [ControlNet](https://github.com/lllyasviel/ControlNet)
* [Consistency Models](https://github.com/openai/consistency_models)
* [MAE](https://github.com/facebookresearch/mae)
* [CLIP](https://github.com/openai/CLIP)
Welcome to [open an issue](https://github.com/hpcaitech/ColossalAI/issues/new/choose) to share your insights and needs.
## How to get involved
To join our community-driven initiative, please visit the [Colossal-AI examples](https://github.com/hpcaitech/ColossalAI/tree/main/examples), review the provided information, and explore the codebase.
To contribute, create a new issue outlining your proposed feature or enhancement, and our team will review and provide feedback. If you are confident enough you can also submit a PR directly. We look forward to collaborating with you on this exciting project!