Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)

Implementation of Markov Chain Monte Carlo in Python from scratch

A C++ library of Markov Chain Monte Carlo (MCMC) methods

Implementing MCMC sampling from scratch in R for various Bayesian models

Robust implementation for random-walk Metropolis-Hastings algorithms

Experimental Physically Based Renderer

MCMC toolbox for Matlab

🚫 ↩️ A document that introduces Bayesian data analysis.

Python implementation of MATLAB toolbox "mcmcstat"

This repository contains implementations of some basic sampling methods in numpy.

Rust library for setting up and running distributed Monte-Carlo statistical simulations. Designed primarily for lattice QCD.

Codes related to the publication Gaussian mixture Markov chain Monte Carlo method for linear seismic inversion

Efficient 3D Morphable Model Face Fitting using Depth Sensing Technologies

Accelerate MCMC algorithm on GPU for Big Data Applications

Metropolis-Hastings GAN in Tensorflow for enhanced generator sampling

A friendly MCMC framework

Some methods to sampling data points from a given distribution.

Use metropolis hasting to enhance gan on stock prediction

C++ Rendering Framework w/ MLT, bidi path tracing, etc. and OpenGL Previews (undergrad thesis project from Brown '09)

A spatial Markov model of agents making decisions based upon their surroundings. Stochastic optimization via Markov Chain Monte Carlo (Metropolis-Hastings algorithm). Interactive visualization of data using the JavaScript library D3.