/generative-models

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

Primary LanguagePython

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