# znxlwm/pytorch-MNIST-CelebA-cGAN-cDCGAN

<https://repo.masters-masters.com/en/repos/znxlwm/pytorch-MNIST-CelebA-cGAN-cDCGAN>

[Home](https://repo.masters-masters.com/en) › [znxlwm](https://repo.masters-masters.com/en/owners/znxlwm) › [pytorch-MNIST-CelebA-cGAN-cDCGAN](https://repo.masters-masters.com/en/repos/znxlwm/pytorch-MNIST-CelebA-cGAN-cDCGAN)

znxlwm/pytorch-MNIST-CelebA-cGAN-cDCGAN has 535 stars on GitHub. Its RepoMasters card: Alpha tier. Pytorch implementation of conditional Generative…

| Field | Value |
| --- | --- |
| Owner | [znxlwm](https://repo.masters-masters.com/en/owners/znxlwm) |
| Stars | 535 |
| Forks | 128 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2017 |
| Topics | pytorch, cgan, cdcgan, generative-adversarial-network, conditional-gan, conditional-dcgan, mnist, celeba, gender |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [znxlwm/pytorch-MNIST-CelebA-cGAN-cDCGAN](https://github.com/znxlwm/pytorch-MNIST-CelebA-cGAN-cDCGAN) |

## Repository

Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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