Project description

GATS

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

Install

pip install gats

Usage

Citation

@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

Project details

These details have not been verified by PyPI

Project links

GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Release history Release notifications | RSS feed

This version

0.0.1

Jan 18, 2024

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

gats_torch-0.0.1.tar.gz (3.2 kB view hashes)

Uploaded Jan 18, 2024 Source

Built Distribution

gats_torch-0.0.1-py3-none-any.whl (3.1 kB view hashes)

Uploaded Jan 18, 2024 Python 3

Hashes for gats_torch-0.0.1.tar.gz

Hashes for gats_torch-0.0.1.tar.gz
Algorithm	Hash digest
SHA256	`31dd4a865121129e77438df7c3116b393878a079f40a64255968a37a0e52292b`
MD5	`02dc4131150eb172d629287e1476d2d7`
BLAKE2b-256	`b87eca81dc8f0c88dee3a23f63eb033eb558a232eb7199904a9ba9ca2bf67f63`

Hashes for gats_torch-0.0.1-py3-none-any.whl

Hashes for gats_torch-0.0.1-py3-none-any.whl
Algorithm	Hash digest
SHA256	`926313d8e085d4f4b88c8ae58703a96253b9813fc1276605f8054ef886954795`
MD5	`14d1ca74b3a90e329710838cdbc99ad7`
BLAKE2b-256	`a1444ce5444765250ab0b897443a0a451a1b8914d902f17e116277a1a855d15a`