Here are
91 public repositories
matching this topic...
Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)
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Jan 22, 2022
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Python
Implementation of Markov Chain Monte Carlo in Python from scratch
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Aug 20, 2020
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Jupyter Notebook
A C++ library of Markov Chain Monte Carlo (MCMC) methods
Experimental Physically Based Renderer
Implementing MCMC sampling from scratch in R for various Bayesian models
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Mar 24, 2020
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HTML
🚫 ↩️ A document that introduces Bayesian data analysis.
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Feb 21, 2022
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Stan
Robust implementation for random-walk Metropolis-Hastings algorithms
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Mar 9, 2022
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Julia
Python implementation of MATLAB toolbox "mcmcstat"
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Feb 20, 2021
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Jupyter Notebook
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Aug 15, 2021
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MATLAB
This repository contains implementations of some basic sampling methods in numpy.
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Mar 28, 2020
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Jupyter Notebook
Rust library for setting up and running distributed Monte-Carlo statistical simulations. Designed primarily for lattice QCD.
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Aug 13, 2019
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Rust
Accelerate MCMC algorithm on GPU for Big Data Applications
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Jun 22, 2018
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Cuda
Metropolis-Hastings GAN in Tensorflow for enhanced generator sampling
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Mar 29, 2019
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Python
Efficient 3D Morphable Model Face Fitting using Depth Sensing Technologies
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Apr 19, 2022
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Scala
A friendly MCMC framework
C++ Rendering Framework w/ MLT, bidi path tracing, etc. and OpenGL Previews (undergrad thesis project from Brown '09)
Python package to simulate agent-based models of tumor growth
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Sep 21, 2017
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Jupyter Notebook
Some methods to sampling data points from a given distribution.
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Jul 16, 2018
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Python
IRT models using various Bayesian methods
Python development to solve the 0/1 Knapsack Problem using Markov Chain Monte Carlo techniques, dynamic programming and greedy algorithm.
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Jul 10, 2018
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Python
Applications of distribution modeling and MCMC methods to intention forecasting
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Oct 12, 2020
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Python
Graph: Representation, Learning, and Inference Methods
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Jun 30, 2020
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Python
Tool for optimizing portal links in the game Ingress
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Jan 8, 2021
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Haskell
Implementation of MCMC Algorithms Metropolis-Hastings and Gibbs Sampling
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Sep 13, 2017
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Jupyter Notebook
Homeworks from the Bayesian Statistics course of accademic year 2018/2019 at University of Trieste
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Jun 28, 2019
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HTML
Hierarchical Bayesian approaches for robust inference in ARX models
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Nov 29, 2017
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MATLAB
gradient based MCMC sampler
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May 17, 2022
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Julia
Metropolis and Nested Sampling in R
Metropolis Light Transport (Reading Group)
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Mar 12, 2018
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Python
Using MCMC to estimate notes in audio, and comparing to human estimation of chords
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Dec 17, 2018
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Python
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