A curated list of awesome variational inference

Simulation-based inference benchmark

a simple R implementation of variational inference for LDA

This is a simple variational autoencoder (VAE) implemented in torch for R

Python notebooks for Optimal Transport between Gaussian Mixture Models

Latent Dirichlet allocation (LDA) with bumping variational inference.

This is code associated with the paper: Broderick, T, Boyd, N, Wibisono, A, Wilson, AC, and Jordan, MI. Streaming variational Bayes. Neural Information Processing Systems, 2013. papers.nips.cc/pape…

Super-fast BART (Bayesian Additive Regression Trees) in Python

Code for the ISBA short course on BART.

Variational Bayesian Model Selection for Mixture Distributions [Corduneanu&Bishop01][PRML 10.2.1]

Variational Inference in Gaussian Mixture Model