# v0lta/PyTorch-Wavelet-Toolbox

<https://repo.masters-masters.com/en/repos/v0lta/PyTorch-Wavelet-Toolbox>

[Home](https://repo.masters-masters.com/en) › [v0lta](https://repo.masters-masters.com/en/owners/v0lta) › [PyTorch-Wavelet-Toolbox](https://repo.masters-masters.com/en/repos/v0lta/PyTorch-Wavelet-Toolbox)

v0lta/PyTorch-Wavelet-Toolbox has 442 stars on GitHub. Its RepoMasters card: Alpha tier. \[JMLR\] Differentiable fast wavelet transforms in PyTorch with GPU…

| Field | Value |
| --- | --- |
| Owner | [v0lta](https://repo.masters-masters.com/en/owners/v0lta) |
| Stars | 442 |
| Forks | 41 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | EUPL-1.2 |
| Created | 2021 |
| Topics | wavelet-transform, pytorch, wavelet-packets, wavelet, wavelet-analysis, fast-wavelet-transform, matrix-fwt |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [v0lta/PyTorch-Wavelet-Toolbox](https://github.com/v0lta/PyTorch-Wavelet-Toolbox) |

## Repository

\[JMLR\] Differentiable fast wavelet transforms in PyTorch with GPU support.

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

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