The Python ensemble sampling toolkit for affine-invariant MCMC

⚡️ zeus: Lightning Fast MCMC ⚡️

Implementation of normalising flows and constrained random variable transformations

Code for Bayesian Analysis

pocoMC: A Python implementation of Preconditioned Monte Carlo for accelerated Bayesian Computation

MCMC parameter sampling code

Sandia Uncertainty Quantification Toolkit

QUESO is a C++ library for doing uncertainty quantification. QUESO stands for Quantification of Uncertainty for Estimation, Simulation and Optimization.

Bayesian inference for Gaussian mixture model with some novel algorithms

Markov Chain Monte Carlo MCMC methods are implemented in various languages (including R, Python, Julia, Matlab)

Blang's software development kit

Accelerate MCMC algorithm on GPU for Big Data Applications

Keep it simple, stupid, MCMC

C++ implementation of a MCMC sampler for the (canonical) SBM

Samplers from the paper "Stochastic Gradient MCMC with Repulsive Forces"

3D Indoor furniture parsing. Segments the front face of a furniture item into more useful functional elements such as door, drawers and shelves.

C++ MCMC sampler for the Simplicial Configuration Model

Ensemble Data Assimilation Modules

Bayesian bi-clustering of categorical data

Bayesian Inference. Parallel implementations of DREAM, DE-MC and DRAM.