# brijeshiitg/Pytorch-implementation-of-SRNet

<https://repo.masters-masters.com/en/repos/brijeshiitg/Pytorch-implementation-of-SRNet>

[Home](https://repo.masters-masters.com/en) › [brijeshiitg](https://repo.masters-masters.com/en/owners/brijeshiitg) › [Pytorch-implementation-of-SRNet](https://repo.masters-masters.com/en/repos/brijeshiitg/Pytorch-implementation-of-SRNet)

brijeshiitg/Pytorch-implementation-of-SRNet has 105 stars on GitHub. Its RepoMasters card: Prototype tier. A pytorch implementation of Deep Residual Network…

| Field | Value |
| --- | --- |
| Owner | [brijeshiitg](https://repo.masters-masters.com/en/owners/brijeshiitg) |
| Stars | 105 |
| Forks | 25 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2019 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [brijeshiitg/Pytorch-implementation-of-SRNet](https://github.com/brijeshiitg/Pytorch-implementation-of-SRNet) |

## Repository

A pytorch implementation of Deep Residual Network for Steganalysis of Digital Images (SRNet)

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.