Collection of generative models in Tensorflow

Collection of generative models in Pytorch version.

wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch

Awesome Generative Adversarial Networks with tensorflow

Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

Implementations of (theoretical) generative adversarial networks and comparison without cherry-picking

Reimplementation of GANs

A stable algorithm for GAN training

DCGAN LSGAN WGAN-GP DRAGAN PyTorch

ProGAN with Standard, WGAN, WGAN-GP, LSGAN, BEGAN, DRAGAN, Conditional GAN, InfoGAN, and Auxiliary Classifier GAN training methods

Performance comparison of ACGAN, BEGAN, CGAN, DRAGAN, EBGAN, GAN, infoGAN, LSGAN, VAE, WGAN, WGAN_GP on cifar-10

My implementations of deep neural networks for practice.

Pytorch implementations of GANs

Conditional DRAGAN(cGAN base)

A Collection of GAN models in Tensorflow

Labs for Generative Deep Learning with TensorFlow by DeepLearning.AI on Coursera

wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch