# mafda/generative\_adversarial\_networks\_101

<https://repo.masters-masters.com/en/repos/mafda/generative_adversarial_networks_101>

[Home](https://repo.masters-masters.com/en) › [mafda](https://repo.masters-masters.com/en/owners/mafda) › [generative\_adversarial\_networks\_101](https://repo.masters-masters.com/en/repos/mafda/generative_adversarial_networks_101)

mafda/generative\_adversarial\_networks\_101 has 207 stars on GitHub. Its RepoMasters card: Prototype tier. Keras implementations of Generative Adversarial…

| Field | Value |
| --- | --- |
| Owner | [mafda](https://repo.masters-masters.com/en/owners/mafda) |
| Stars | 207 |
| Forks | 78 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2018 |
| Topics | gan, mnist, dcgan, tensorflow, keras, generative-adversarial-network, cgan, ccgan, cifar10, cifar-10 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [mafda/generative\_adversarial\_networks\_101](https://github.com/mafda/generative_adversarial_networks_101) |

## Repository

Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.

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.