BoltzmannBlitz / generative-models

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

Generative Models

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

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. Auxiliary Classifier GAN
9. Least Squares GAN
10. Boundary Seeking GAN
11. Energy Based GAN
12. f-GAN
13. Variational Autoencoder (VAE)
14. Vanilla VAE
15. Conditional VAE
16. Denoising VAE
17. Adversarial Autoencoder
18. 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