Popular GitHub Repositories for Bayesian Inference

Bayesian Modeling and Probabilistic Programming in Python

Deep universal probabilistic programming with Python and PyTorch

Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

Fast and Easy Infinite Neural Networks in Python

A Python library that helps data scientists to infer causation rather than observing correlation.

A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow

Infer.NET is a framework for running Bayesian inference in graphical models

Awesome resources on normalizing flows.

Welcome to the Physics-based Deep Learning Book v0.3 - the GenAI Edition

A collection of Bayesian data analysis recipes using PyMC3

Gaussian processes in JAX.

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

Statistical Rethinking (2nd Ed) with Tensorflow Probability

Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

Collection of probabilistic models and inference algorithms

Gaussian Processes for Experimental Sciences

Scalable inference for a generative model of astronomical images

Notebooks for the Practicals at the Deep Learning Indaba 2022.

GPstuff - Gaussian process models for Bayesian analysis

Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.