This is mxnet implementation of Generative Adversarial Networks. Until now, I have done:
code get from MXNet examples
InfoGAN (https://arxiv.org/pdf/1606.03657.pdf)
python train_infoGAN.py --cfg cfgs/infoGAN_mnist.yaml
Wassertein GAN (https://arxiv.org/pdf/1701.07875.pdf)
python train_wgan.py --cfg cfgs/wgan_mnist.yaml
Cycle GAN (https://arxiv.org/pdf/1703.10593.pdf)
python train_cycleGAN.py --cfg cfgs/cycle_horse2zebra.yaml