## Community Examples

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!