Popular GitHub Repositories for Variational Bayes

Tensorflow Implementation of Knowledge-Guided CVAE for dialog generation ACL 2017. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU

High-performance reactive message-passing based Bayesian inference engine

Official Pytorch code for (AAAI 2020) paper "Capsule Routing via Variational Bayes", https://arxiv.org/pdf/1905.11455.pdf

MLSS2019 Tutorial on Bayesian Deep Learning

Clustering with variational Bayes and population Monte Carlo

A simple library to run variational inference on Stan models.

This repository is for sharing the scripts of EM algorithm and variational bayes.

variational Bayesian algorithm for Brain MR image Segmentation

Scala embedded universal probabilistic programming language

[Pytorch] Minimal implementation of a Variational Autoencoder (VAE) with Categorical Latent variables inspired from "Categorical Reparameterization with Gumbel-Softmax".

A Python library for sGMRFmix model for anomaly detection in time series

PyTorch implementation of a variational autoencoder (VAE) for use on multi-channel 2D data such as images

Nonnegative matrix factorization with DAG constraints. A probabilistic formulation, variational learning.

JAX version of vLGP (github.com/catniplab/vlgp)

Implementation and derivation of "Variational Bayesian inference for a nonlinear forward model." [Chappell et al. 2008] for arbitrary, user-defined model errors.

Towards Generalizable and Interpretable Motion Prediction: A Deep Variational Bayes Approach, AISTATS 2024.

Jax Parallel Implementation of Variational Hidden Markov Model

Variational Feature Learning