Popular GitHub Repositories for Variational Inference

Bayesian Modeling and Probabilistic Programming in Python

Deep universal probabilistic programming with Python and PyTorch

Gaussian processes in TensorFlow

Awesome resources on normalizing flows.

Seminars DeepBayes Summer School 2018

[NeurIPS 2022] Denoising Diffusion Restoration Models -- Official Code Repository

A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.

Lecture notes on Bayesian deep learning

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

Julia package for automated Bayesian inference on a factor graph with reactive message passing

Statistical Rethinking (2nd Ed) with Tensorflow Probability

Collection of probabilistic models and inference algorithms

Implementation of VLAE

Pytorch implementation of Deep Variational Information Bottleneck

Scalable inference for a generative model of astronomical images

GPstuff - Gaussian process models for Bayesian analysis

Tensorflow implementation of conditional variational auto-encoder for MNIST

Kalman Variational Auto-Encoder

PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python

High-performance reactive message-passing based Bayesian inference engine