KerasR

DeepLearning using Keras with R

CGAN

Implementation of Conditional Generative Adversarial Nets.

Paper:https://arxiv.org/abs/1411.1784

Code

DCGAN

Implementation of Deep Convolutional Generative Adversarial Network.

Paper: https://arxiv.org/abs/1511.06434

Code

BEGAN

Implementation of Boundary-Seeking Generative Adversarial Networks.

Paper: https://arxiv.org/abs/1702.08431

Code

InfoGAN

Implementation of InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets.

Paper: https://arxiv.org/abs/1606.03657

Code1 Code2

LSGAN

Implementation of Least Squares Generative Adversarial Networks.

Paper: https://arxiv.org/abs/1611.04076

Code

CycleGAN

Implementation of Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks.

Paper: https://arxiv.org/abs/1703.10593

Code

SRGAN

Implementation of Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network.

Paper: https://arxiv.org/abs/1609.04802

Code