Generative Adversarial Networks
Papers includes leading papers in GANs
- 2014 - Generative Adversarial Nets
- 2014 - Conditional Generative Adversarial Nets
- 2016 - Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
- 2016 - Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
Codes includes some useful GANs codes developed by brilliant researchers and some of them created and edited by me
- GANs intro - 1D Gaussian Distribution Approximation
- GANs MNIST - Generate the Numbers
- DCGAN MNIST - DCGAN with MNIST