Metadata-Version: 2.1
Name: gats-torch
Version: 0.0.1
Summary: gats - Pytorch
Home-page: https://github.com/kyegomez/GATS
License: MIT
Keywords: artificial intelligence,deep learning,optimizers,Prompt Engineering
Author: Kye Gomez
Author-email: kye@apac.ai
Requires-Python: >=3.6,<4.0
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Dist: classifier-free-guidance-pytorch
Requires-Dist: einops
Requires-Dist: swarms
Requires-Dist: zetascale
Project-URL: Documentation, https://github.com/kyegomez/GATS
Project-URL: Repository, https://github.com/kyegomez/GATS
Description-Content-Type: text/markdown

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# GATS
Implementation of GATS from the paper: "GATS: Gather-Attend-Scatter" in pytorch and zeta.


## Install
`pip install gats`

## Usage


# Citation
```bibtex
@misc{zolna2024gats,
    title={GATS: Gather-Attend-Scatter}, 
    author={Konrad Zolna and Serkan Cabi and Yutian Chen and Eric Lau and Claudio Fantacci and Jurgis Pasukonis and Jost Tobias Springenberg and Sergio Gomez Colmenarejo},
    year={2024},
    eprint={2401.08525},
    archivePrefix={arXiv},
    primaryClass={cs.AI}
}
```

# License
MIT




