# austinvhuang/awesome-haskell-deep-learning

<https://repo.masters-masters.com/en/repos/austinvhuang/awesome-haskell-deep-learning>

[Home](https://repo.masters-masters.com/en) › [austinvhuang](https://repo.masters-masters.com/en/owners/austinvhuang) › [awesome-haskell-deep-learning](https://repo.masters-masters.com/en/repos/austinvhuang/awesome-haskell-deep-learning)

austinvhuang/awesome-haskell-deep-learning has 297 stars on GitHub. Its RepoMasters card: Alpha tier. In the tradition of "awesome" (curated) lists, this is a…

| Field | Value |
| --- | --- |
| Owner | [austinvhuang](https://repo.masters-masters.com/en/owners/austinvhuang) |
| Stars | 297 |
| Forks | 17 |
| Language | No language |
| License | None |
| Created | 2017 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [austinvhuang/awesome-haskell-deep-learning](https://github.com/austinvhuang/awesome-haskell-deep-learning) |

## Repository

In the tradition of "awesome" (curated) lists, this is a list of references and code for doing deep learning in Haskell.

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

## More repos by austinvhuang

- [austinvhuang/openmemex · ★ 213 · Rust · Prototype](https://repo.masters-masters.com/en/repos/austinvhuang/openmemex)

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