# tengshaofeng/ResidualAttentionNetwork-pytorch

<https://repo.masters-masters.com/en/repos/tengshaofeng/ResidualAttentionNetwork-pytorch>

[Home](https://repo.masters-masters.com/en) › [tengshaofeng](https://repo.masters-masters.com/en/owners/tengshaofeng) › [ResidualAttentionNetwork-pytorch](https://repo.masters-masters.com/en/repos/tengshaofeng/ResidualAttentionNetwork-pytorch)

tengshaofeng/ResidualAttentionNetwork-pytorch has 685 stars on GitHub. Its RepoMasters card: Alpha tier. a pytorch code about Residual Attention Network. This…

| Field | Value |
| --- | --- |
| Owner | [tengshaofeng](https://repo.masters-masters.com/en/owners/tengshaofeng) |
| Stars | 685 |
| Forks | 165 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2018 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [tengshaofeng/ResidualAttentionNetwork-pytorch](https://github.com/tengshaofeng/ResidualAttentionNetwork-pytorch) |

## Repository

a pytorch code about Residual Attention Network. This code is based on two projects from

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

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