Bayesian Modeling and Probabilistic Programming in Python

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

Bayesian inference with probabilistic programming.

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

The Python ensemble sampling toolkit for affine-invariant MCMC

Owl - OCaml Scientific Computing @ https://ocaml.xyz

RStan, the R interface to Stan

Bayesian Data Analysis demos for Python

Interactive Markov-chain Monte Carlo Javascript demos

Boltzmann Machines in TensorFlow with examples

Bitmap generation from a single example with convolutions and MCMC

Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code

Bayesian Data Analysis demos for R

bayesplot R package for plotting Bayesian models

DGMs for NLP. A roadmap.

Collection of Monte Carlo (MC) and Markov Chain Monte Carlo (MCMC) algorithms applied on simple examples.

Julia package with selected functions in the R package `rethinking`. Used in the SR2... projects.

High-performance Bayesian Data Analysis on the GPU in Clojure

MCMC samplers for Bayesian estimation in Python, including Metropolis-Hastings, NUTS, and Slice

Robust, modular and efficient implementation of advanced Hamiltonian Monte Carlo algorithms

A batteries-included toolkit for the GPU-accelerated OpenMM molecular simulation engine.

ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.

Types and utility functions for summarizing Markov chain Monte Carlo simulations

An implementation of a small MCMC framework and some likelihood functions for doing Bayes stats in the browser.

Bayesian Evolutionary Analysis by Sampling Trees

my blog

Markov chain Monte Carlo (MCMC) for Bayesian analysis in julia

Normalizing-flow enhanced sampling package for probabilistic inference in Jax

A repository to keep track of all the code that I end up writing for my blog posts.

⚡️ zeus: Lightning Fast MCMC ⚡️