Highlights
- Pro
Stars
Codebase accompanying the paper "Diagnosing and Fixing Manifold Overfitting in Deep Generative Models"
Codebase for evaluation of deep generative models as presented in Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models
Code for the NeurIPS'21 paper "Rectangular Flows for Manifold Learning"
PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows
Pytorch implementation of Localised Generative Flows
Keras implementation of a Variational Auto Encoder with a Concrete Latent Distribution
Pytorch implementation of Wasserstein GANs with Gradient Penalty