# adobe-research/DeepAFx

<https://repo.masters-masters.com/en/repos/adobe-research/DeepAFx>

[Home](https://repo.masters-masters.com/en) › [adobe-research](https://repo.masters-masters.com/en/owners/adobe-research) › [DeepAFx](https://repo.masters-masters.com/en/repos/adobe-research/DeepAFx)

adobe-research/DeepAFx has 217 stars on GitHub. Its RepoMasters card: Prototype tier. Third-party audio effects plugins as differentiable layers within deep…

| Field | Value |
| --- | --- |
| Owner | [adobe-research](https://repo.masters-masters.com/en/owners/adobe-research) |
| Stars | 217 |
| Forks | 31 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2021 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [adobe-research/DeepAFx](https://github.com/adobe-research/DeepAFx) |

## Repository

Third-party audio effects plugins as differentiable layers within deep neural networks.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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