MNIST Generative Adversarial Networks (PyTorch)
Sam Greydanus. April 2017. MIT License.
I use the classic MNIST dataset to achieve ultra-simple GAN results. Think of this repo as a lab where you can get comfortable with GANs before trying them on something more complex (e.g. CIFAR, ImageNet).
Vanilla discriminator (D) and generator (G) networks
CNN discriminator (D) and vanilla generator (G) network