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From scratch, simple and easy-to-understand Pytorch implementation of variants of generative adversarial network (GAN). Implemented variants: Conditional GAN (cGAN), DCGAN, LSGAN. Datasets used MNIST, SVHN, FashionMNIST, CIFAR10, CelebA, LSUN-Bedroom, LSUN-Church.

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Name		Name	Last commit message	Last commit date
Latest commit History 66 Commits
ConditionalGAN		ConditionalGAN
DCGAN_32		DCGAN_32
LSGAN_28		LSGAN_28
TinyGAN		TinyGAN
VanillaGAN		VanillaGAN
README.md		README.md

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PyTorch-GAN-Variants

PyTorch implementations of various Generative Adversarial Networks (GAN). Each folder contains a standalone version of a GAN variant.

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From scratch, simple and easy-to-understand Pytorch implementation of variants of generative adversarial network (GAN). Implemented variants: Conditional GAN (cGAN), DCGAN, LSGAN. Datasets used MNIST, SVHN, FashionMNIST, CIFAR10, CelebA, LSUN-Bedroom, LSUN-Church.

pytorch generative-adversarial-network gan dcgan wgan lsgan cyclegan cgan wgan-gp stargan conditionalgan

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