# lychengrex/Image-Denoising-with-Deep-CNNs

<https://repo.masters-masters.com/en/repos/lychengrex/Image-Denoising-with-Deep-CNNs>

[Home](https://repo.masters-masters.com/en) › [lychengrex](https://repo.masters-masters.com/en/owners/lychengrex) › [Image-Denoising-with-Deep-CNNs](https://repo.masters-masters.com/en/repos/lychengrex/Image-Denoising-with-Deep-CNNs)

lychengrex/Image-Denoising-with-Deep-CNNs has 141 stars on GitHub. Its RepoMasters card: Prototype tier. Use deep Convolutional Neural Networks (CNNs) with…

| Field | Value |
| --- | --- |
| Owner | [lychengrex](https://repo.masters-masters.com/en/owners/lychengrex) |
| Stars | 141 |
| Forks | 31 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2019 |
| Topics | pytorch, image-denoising, dncnn, cnn, convolutional-neural-network, tutorial |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [lychengrex/Image-Denoising-with-Deep-CNNs](https://github.com/lychengrex/Image-Denoising-with-Deep-CNNs) |

## Repository

Use deep Convolutional Neural Networks (CNNs) with PyTorch, including investigating DnCNN and U-net architectures

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.
