1. WganTensorflow Implementation of Wasserstein GAN (and Improved version in wgan_v2)
2. Fast WeightsImplementation of the paper [Using Fast Weights to Attend to the Recent Past](https://arxiv.org/abs/1610.06258)
3. Cramer GanTensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)
4. aisAnnealed Importance Sampling (AIS) for generative models.