Generative Models

Collection of generative models, e.g. GAN, VAE in Tensorflow, Keras, and Pytorch.

Note: generated samples will be stored in GAN/{gan_model}/out or VAE/{vae_model}/out directory during training.

What's in it?

1. Generative Adversarial Nets (GAN)
2. Vanilla GAN
3. Conditional GAN
4. InfoGAN
5. Wasserstein GAN
6. Mode Regularized GAN
7. Coupled GAN
8. Variational Autoencoder (VAE)
9. Vanilla VAE
10. Conditional VAE
11. Denoising VAE
12. Adversarial Autoencoder
13. Adversarial Variational Bayes

Dependencies

1. Install miniconda http://conda.pydata.org/miniconda.html
2. Do conda env create
3. Enter the env source activate generative-models
4. Install Tensorflow
5. Install Pytorch