# fkodom/fft-conv-pytorch

<https://repo.masters-masters.com/en/repos/fkodom/fft-conv-pytorch>

[Home](https://repo.masters-masters.com/en) › [fkodom](https://repo.masters-masters.com/en/owners/fkodom) › [fft-conv-pytorch](https://repo.masters-masters.com/en/repos/fkodom/fft-conv-pytorch)

fkodom/fft-conv-pytorch has 524 stars on GitHub. Its RepoMasters card: Alpha tier. Implementation of 1D, 2D, and 3D FFT convolutions in PyTorch. Much faster…

| Field | Value |
| --- | --- |
| Owner | [fkodom](https://repo.masters-masters.com/en/owners/fkodom) |
| Stars | 524 |
| Forks | 61 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2019 |
| Topics | pytorch, python3, convolution, image-processing, neural-networks |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [fkodom/fft-conv-pytorch](https://github.com/fkodom/fft-conv-pytorch) |

## Repository

Implementation of 1D, 2D, and 3D FFT convolutions in PyTorch. Much faster than direct convolutions for large kernel sizes.

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
