# iNLyze/DeepLearning-SeGAN-Segmentation

<https://repo.masters-masters.com/en/repos/iNLyze/DeepLearning-SeGAN-Segmentation>

[Home](https://repo.masters-masters.com/en) › [iNLyze](https://repo.masters-masters.com/en/owners/iNLyze) › [DeepLearning-SeGAN-Segmentation](https://repo.masters-masters.com/en/repos/iNLyze/DeepLearning-SeGAN-Segmentation)

iNLyze/DeepLearning-SeGAN-Segmentation has 102 stars on GitHub. Its RepoMasters card: Prototype tier. This contains an implementation of the SeGAN model for…

| Field | Value |
| --- | --- |
| Owner | [iNLyze](https://repo.masters-masters.com/en/owners/iNLyze) |
| Stars | 102 |
| Forks | 38 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2017 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [iNLyze/DeepLearning-SeGAN-Segmentation](https://github.com/iNLyze/DeepLearning-SeGAN-Segmentation) |

## Repository

This contains an implementation of the SeGAN model for semantic segmentation introduced in https://arxiv.org/pdf/1703.10239.pdf

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

## Nearby in Python

- [Chenkin-x/ComfyUI-Moss-Image-Edit · ★ 102 · Python · Prototype](https://repo.masters-masters.com/en/repos/Chenkin-x/ComfyUI-Moss-Image-Edit)
- [lucasbabur/jp-essay · ★ 102 · Python · Prototype](https://repo.masters-masters.com/en/repos/lucasbabur/jp-essay)
- [jjs202210-jpg/dashi-wo-wu-le · ★ 102 · Python · Prototype](https://repo.masters-masters.com/en/repos/jjs202210-jpg/dashi-wo-wu-le)
- [chb/indivo\_server · ★ 102 · Python · Prototype](https://repo.masters-masters.com/en/repos/chb/indivo_server)
- [irskep/pyglettutorial · ★ 102 · Python · Prototype](https://repo.masters-masters.com/en/repos/irskep/pyglettutorial)
- [willrjmarshall/AbletonDJTemplateUnsupported · ★ 102 · Python · Prototype](https://repo.masters-masters.com/en/repos/willrjmarshall/AbletonDJTemplateUnsupported)

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