Generative Adversarial Notebooks

Collection of my Generative Adversarial Network implementations

Most codes are for python3, most notebooks works on

CycleGAN

• CycleGAN-lasagne
• CycleGAN-keras

CycleGAN results

pix2pix

• pix2pix-keras: pix2pix GAN Keras implementation
• pix2pix-lasagne: pix2pix GAN Lasagne implementation
• pix2pix-torch: pix2pix GAN pytorch implementation

pix2pix sample results

WGAN on CIFAR10

• wgan-keras: Wasserstein GAN Keras implementation
• wgan-lasagne: Wasserstein GAN Lasagne implementation
• wgan-torch: Wasserstein GAN pytorch implementation based on https://github.com/martinarjovsky/WassersteinGAN

WGAN2 (improved WGAN/WGAN-gp)

• wgan2-lasagne: improved WGAN Lasagne implementation (on CIFAR10)
• wgan2-keras: improved WGAN Keras implementation (on CIFAR10)
• wgan2-lasagne-anime: WGAN on anime face images, lasagne
• wgan2-AC-lasagne: improved WGAN Lasagne implementation with Auxillary classfier

WGAN2 sample results

• cifar10 dataset

• cifar10 dataset with Auxillary classfier

• anime face dataset

InfoGAN

• mnist-infogan: InfoGAN Lasagne on MNIST dataset
• mnist-infogan-paper-uniform: InfoGAN Lasagne on MNIST dataset (fllowing the paper implementation)

InfoGAN sample results

DCGAN

• dcgan-lasagne: DCGAN in Lasagne

DCGAN sample results