FNet pytorch
Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms
Pytorch implementation of [Fnet : Mixing Tokens with Fourier Transforms](https://arxiv.org/abs/2105.03824v1). The project is written primarily in Python, distributed under the MIT License license, first published in 2021. Key topics include: feedforward-neural-network, fnet, fourier-transform, image-classification, language-model.
FNet: Mixing Tokens with Fourier Transforms
Pytorch implementation of Fnet : Mixing Tokens with Fourier Transforms.
Citation:
@misc{leethorp2021fnet,
title={FNet: Mixing Tokens with Fourier Transforms},
author={James Lee-Thorp and Joshua Ainslie and Ilya Eckstein and Santiago Ontanon},
year={2021},
eprint={2105.03824},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
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This article is auto-generated from rishikksh20/FNet-pytorch via the GitHub API.Last fetched: 6/24/2026
