# francesclluis/source-separation-wavenet

<https://repo.masters-masters.com/en/repos/francesclluis/source-separation-wavenet>

[Home](https://repo.masters-masters.com/en) › [francesclluis](https://repo.masters-masters.com/en/owners/francesclluis) › [source-separation-wavenet](https://repo.masters-masters.com/en/repos/francesclluis/source-separation-wavenet)

francesclluis/source-separation-wavenet has 227 stars on GitHub. Its RepoMasters card: Prototype tier. A neural network for end-to-end music source separation

| Field | Value |
| --- | --- |
| Owner | [francesclluis](https://repo.masters-masters.com/en/owners/francesclluis) |
| Stars | 227 |
| Forks | 33 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2018 |
| Topics | machine-learning, deep-learning, neural-networks, source-separation, wavenet, audio-processing, karaoke, vocal-remover |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [francesclluis/source-separation-wavenet](https://github.com/francesclluis/source-separation-wavenet) |

## Repository

A neural network for end-to-end music source separation

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.