# yfeng95/GAN\_Theories

<https://repo.masters-masters.com/en/repos/yfeng95/GAN_Theories>

[Home](https://repo.masters-masters.com/en) › [yfeng95](https://repo.masters-masters.com/en/owners/yfeng95) › [GAN\_Theories](https://repo.masters-masters.com/en/repos/yfeng95/GAN_Theories)

yfeng95/GAN\_Theories has 191 stars on GitHub. Its RepoMasters card: Prototype tier. Resources and Implementations of Generative Adversarial Nets which are…

| Field | Value |
| --- | --- |
| Owner | [yfeng95](https://repo.masters-masters.com/en/owners/yfeng95) |
| Stars | 191 |
| Forks | 44 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2017 |
| Topics | gan-theories, wgan, dcgan, began, ebgan |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [yfeng95/GAN\_Theories](https://github.com/yfeng95/GAN_Theories) |

## Repository

Resources and Implementations of Generative Adversarial Nets which are focusing on how to stabilize training process and generate high quality images: DCGAN, WGAN, EBGAN, BEGAN, etc.

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.