# csteinmetz1/micro-tcn

<https://repo.masters-masters.com/en/repos/csteinmetz1/micro-tcn>

[Home](https://repo.masters-masters.com/en) › [csteinmetz1](https://repo.masters-masters.com/en/owners/csteinmetz1) › [micro-tcn](https://repo.masters-masters.com/en/repos/csteinmetz1/micro-tcn)

csteinmetz1/micro-tcn has 174 stars on GitHub. Its RepoMasters card: Prototype tier. Efficient neural networks for analog audio effect modeling

| Field | Value |
| --- | --- |
| Owner | [csteinmetz1](https://repo.masters-masters.com/en/owners/csteinmetz1) |
| Stars | 174 |
| Forks | 18 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2020 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [csteinmetz1/micro-tcn](https://github.com/csteinmetz1/micro-tcn) |

## Repository

Efficient neural networks for analog audio effect modeling

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.