VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

DanceNet -💃💃Dance generator using Autoencoder, LSTM and Mixture Density Network. (Keras)

Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB

[CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Variational Autoencoders"

PyTorch implementation of "Lagging Inference Networks and Posterior Collapse in Variational Autoencoders" (ICLR 2019)