There are 1 repository under mcmc-sampler topic.
Implementation of normalising flows and constrained random variable transformations
Code for Bayesian Analysis
Sandia Uncertainty Quantification Toolkit
Bayesian inference for Gaussian mixture model with some novel algorithms
Blang's software development kit
Markov Chain Monte Carlo MCMC methods are implemented in various languages (including R, Python, Julia, Matlab)
C++ implementation of a MCMC sampler for the (canonical) SBM
3D Indoor furniture parsing. Segments the front face of a furniture item into more useful functional elements such as door, drawers and shelves.
Samplers from the paper "Stochastic Gradient MCMC with Repulsive Forces"
Bayesian bi-clustering of categorical data
This is a repository for the ParaMonte library examples. For more information, visit:
R implementation of the Dirichlet Process Gaussian Mixture Model (with MCMC)
Python implementation (from scratch) of some MCMC samplers that can leverage pyTorch's autodifferentiation (with examples).
Hidden Markov Hawkes Process - Model for Analyzing Topical Transitions in text based cascades in Social Networks.
Examples of several Markov Chain Monte Carlo methods such as t walk, emcee,Hamiltonian MC, Parallel Tempering HMC applied to UQ in ODEs
Python information for Adaptive Rejection Sampling (ARS)
My works for EE 511 - Simulation Methods For Stochastic Systems - Spring 2018 - Graduate Coursework at USC - Dr. Osonde A. Osoba
Python package implementing ideal and shrinkage-based geodesic slice samplers defined on the n-sphere.
Problem Solving With AI Approaches: Heuristic Searches, Statistical Classifications
A C++ implementation of simulated annealing for the Ising perceptron.
Non-reversible continuous MCMCs based on Piecewise-Deterministic Markov Processes
Bayesian analysis and forecasting of Bitcoin volatility and definition of GARCH and ARCH models through MCMC sampling.