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- We use large language models (LLMs) to bridge natural language and behavior analysis.
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- This work is published at **NeurIPS2023!** Read the paper, [AmadeusGPT: a natural language interface for interactive animal behavioral analysis](https://www.google.com/search?q=amadeusgpt+openreview&sca_esv=590699485&rlz=1C5CHFA_enCH1059CH1060&ei=K1N6ZaHdKvmrur8PosOOkAo&ved=0ahUKEwjhnta83I2DAxX5le4BHaKhA6IQ4dUDCBE&uact=5&oq=amadeusgpt+openreview&gs_lp=Egxnd3Mtd2l6LXNlcnAiFWFtYWRldXNncHQgb3BlbnJldmlldzIHECEYoAEYCjIHECEYoAEYCki2HVDfAliOHHACeACQAQGYAYMDoAHaGaoBCDEuMTEuMS40uAEDyAEA-AEBwgIFECEYqwLCAggQABiABBiiBMICCBAAGIkFGKIE4gMEGAEgQYgGAQ&sclient=gws-wiz-serp#:~:text=AmadeusGPT%3A%20a%20natural,net%20%E2%80%BA%20pdf) by [Shaokai Ye](https://github.com/yeshaokai), [Jessy Lauer](https://github.com/jeylau), [Mu Zhou](https://github.com/zhoumu53), [Alexander Mathis](https://github.com/AlexEMG) & [Mackenzie W. Mathis](https://github.com/MMathisLab).
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- This work is published at **NeurIPS2023!** Read the paper, [AmadeusGPT: a natural language interface for interactive animal behavioral analysis]([https://www.google.com/search?q=amadeusgpt+openreview&sca_esv=590699485&rlz=1C5CHFA_enCH1059CH1060&ei=K1N6ZaHdKvmrur8PosOOkAo&ved=0ahUKEwjhnta83I2DAxX5le4BHaKhA6IQ4dUDCBE&uact=5&oq=amadeusgpt+openreview&gs_lp=Egxnd3Mtd2l6LXNlcnAiFWFtYWRldXNncHQgb3BlbnJldmlldzIHECEYoAEYCjIHECEYoAEYCki2HVDfAliOHHACeACQAQGYAYMDoAHaGaoBCDEuMTEuMS40uAEDyAEA-AEBwgIFECEYqwLCAggQABiABBiiBMICCBAAGIkFGKIE4gMEGAEgQYgGAQ&sclient=gws-wiz-serp#:~:text=AmadeusGPT%3A%20a%20natural,net%20%E2%80%BA%20pdf](https://proceedings.neurips.cc/paper_files/paper/2023/file/1456560769bbc38e4f8c5055048ea712-Paper-Conference.pdf)) by [Shaokai Ye](https://github.com/yeshaokai), [Jessy Lauer](https://github.com/jeylau), [Mu Zhou](https://github.com/zhoumu53), [Alexander Mathis](https://github.com/AlexEMG) & [Mackenzie W. Mathis](https://github.com/MMathisLab).
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- Like this project? Please consider giving us a star ⭐️!
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## Install & Run AmadeusGPT🎻
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### Try AmadeusGPT with our example notebooks
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We provide example notebooks at [Notebooks](notebook)
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### Notebook as use-case demo
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1) Draw ROI and ask when is the animal in the ROI. [Demo](notebook/EPM_demo.ipynb)
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2) Obtain the binary mask for retrieved masks (for further sampling such as neural data pairing) [Demo](notebook/EPM_demo.ipynb)
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3) Use SuperAnimal video inference (make sure you use gpu or cpu installation) if you don't have corresponding DeepLabCut keypoint file [Demo](notebook/custom_mouse_demo.ipynb)
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4) Write you own integration modules and use them [Demo](notebook/Horse_demo.ipynb) [Source code](amadeusgpt/integration_modules). Make sure you delete the cached modules_embedding.pickle if you add new modules
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5) Multi-Animal social interaction. [Demo](notebook/MABe_demo.ipynb)
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## Citation
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