Popular GitHub Repositories for Bayesian Statistics

Gaussian processes in TensorFlow

A collection of Bayesian data analysis recipes using PyMC3

Statistical Rethinking (2nd Ed) with Tensorflow Probability

A Pythonic microframework for multi-armed bandit problems

Neural Network-Boosted Importance Nested Sampling for Bayesian Statistics

Deterministic algorithms for objective Bayesian inference and hyperparameter optimization

A high-level Bayesian analysis API written in Python

Bayesian inference on wiring diagrams.

Implement common statistical machine learning algorithms with raw Numpy.

Nonparametric Variational Methods for Approximate Bayesian Inference and Probabilistic Programming

Homing Piegon is an inference framework implementing Variational Message Passing. It can be used to implement an Active Inference agent that performs planning using a Tree Search algorithm that can been seen as a form of Bayesian Model Expansion.

A jupyter notebook for binary classification of breast cancer using XGBoost with Bayesian optimization.

Library for Bayesian machine learning

Toolkit functions and example outputs for Bayesian (Structural) Vector Autoregressive (VAR) models

Domain Adaptation by Transferring Model-Complexity Priors Across Tasks Paper Experiments

Probabilistic modeling of high-dimensional binary data in JAX

Very easy Bayesian regression.

[CVPR 2024] Quantifying Uncertainty in Motion Prediction with Variational Bayesian Mixture

A feature-rich library for running Bayesian A/B tests