Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

PyTorch package for the discrete VAE used for DALL·E.

Easy generative modeling in PyTorch

MADE: Masked Autoencoder for Distribution Estimation

Implementation of Denoising Diffusion Probabilistic Models in PyTorch

Official Pytorch and JAX implementation of "Efficient-VDVAE: Less is more"

Repository for the paper "Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images"

The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)