Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.

Continuous Conditional Generative Adversarial Networks (CcGAN)

A unified cGAN-based knowledge distillation method

Computing the Sliding Fréchet Inception Distance between fake and real images with continous labels

some models with easy understand code

Efficient Subsampling of Realistic Images From GANs Conditional on a Class or a Continuous Variable