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https://github.com/baaivision/Emu

Emu Series: Generative Multimodal Models from BAAI
https://github.com/baaivision/Emu

foundation-models generative-pretraining-in-multimodality in-context-learning instruct-tuning multimodal-generalist multimodal-pretraining

Last synced: 3 months ago
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Emu Series: Generative Multimodal Models from BAAI

Host: GitHub
URL: https://github.com/baaivision/Emu
Owner: baaivision
License: apache-2.0
Created: 2023-07-11T00:10:19.000Z (over 1 year ago)
Default Branch: main
Last Pushed: 2024-03-08T07:09:57.000Z (8 months ago)
Last Synced: 2024-06-21T18:56:01.558Z (5 months ago)
Topics: foundation-models, generative-pretraining-in-multimodality, in-context-learning, instruct-tuning, multimodal-generalist, multimodal-pretraining
Language: Python
Homepage: https://baaivision.github.io/emu2/
Size: 46.3 MB
Stars: 1,551
Watchers: 21
Forks: 79
Open Issues: 39
Metadata Files:
- Readme: README.md
- License: LICENSE

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StarryDivineSky - baaivision/Emu
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README

        


Emu: Generative Multimodal Models from BAAI




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- [**Emu1**](Emu1) (ICLR 2024, 2023/07) - Generative Pretraining in Multimodality

- [**Emu2**](Emu2) (CVPR 2024, 2023/12) - Generative Multimodal Models are In-Context Learners

## News

- 2024.2 **Emu1 and Emu2 are accepted by ICLR 2024 and CVPR 2024 respectively! 🎉**

- 2023.12 Inference code, model and demo of Emu2 are available. Enjoy the [demo](http://218.91.113.230:9002/).

- 2023.12 We have released Emu2, open and largest generative multimodal models that achieve new state of the art on multimodal understanding and generation tasks.

- 2023.7 Inference code and model of Emu are available.

- 2023.7 We have released Emu, a multimodal generalist that can seamlessly generate images and texts in multimodal context.

## Hightlights

- State-of-the-art performance

- Next-generation capabilities

- A base model for diverse tasks

We hope to foster the growth of our community through open-sourcing and promoting collaboration👬. Let's step towards multimodal intelligence together🍻.

## Contact

- **We are hiring** at all levels at BAAI Vision Team, including full-time researchers, engineers and interns. 

If you are interested in working with us on **foundation model, visual perception and multimodal learning**, please contact [Xinlong Wang](https://www.xloong.wang/) (`[email protected]`).

## Misc



[![Stargazers repo roster for @baaivision/Emu](https://bytecrank.com/nastyox/reporoster/php/stargazersSVG.php?user=baaivision&repo=Emu)](https://github.com/baaivision/Emu/stargazers)

[![Forkers repo roster for @baaivision/Emu](https://bytecrank.com/nastyox/reporoster/php/forkersSVG.php?user=baaivision&repo=Emu)](https://github.com/baaivision/Emu/network/members)

[![Star History Chart](https://api.star-history.com/svg?repos=baaivision/Emu&type=Date)](https://star-history.com/#baaivision/Emu&Date)