JingweiJ / generative-models

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

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. Variational Autoencoder (VAE)
8. Vanilla VAE
9. Conditional VAE
10. Denoising VAE
11. Adversarial Autoencoder
12. 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