A Python/C++ implementation of Bayesian Factorization Machines

Gibbs Sampling Dirichlet Multinomial Model (GSDMM) for Short-Text Clustering

A Julia package for bayesian probabilistic matrix factorization (BPMF).

Graph: Representation, Learning, and Inference Methods

Inference in Bayesian Belief Networks using Probability Propagation in Trees of Clusters (PPTC) and Gibbs sampling

Package to do Bayesian inference with Gibbs sampler

Bayesian variable selection method for finite mixture model of linear regressions

Inclusion by Design Project

Repositório para apresentação de código desenvolvido pelo grupo 2 para a UC Algoritmos Avançados para a Bioinformática do Mestrado em Bioinformática, ano lectivo 23-24.

Notebooks for Bayesian Foundations (Course 1)

Motif Finding using Gibbs Sampler

Investigating the efficacy of diagnostic kits used for parasitic disease surveillance in the Philippines.

Gibbs Sampling & EM Algorithm Implementation / R Programming Language / on Iris Dataset

Implementation of Gibbs sampling. 1. Gamma-Poisson mixture model for topic modeling 2. Bernolli-Beta Mixture model

The inspections on some important literatures, mainly including codes.

Credit Card Fraud detection by using Bayesian Network.Along with performed Variable Elimination and Gibbs Sampling.

Reconstructing a black and white Japanese woodblock print using Bayesian inference

The goal of rrum is to provide an implementation of Gibbs sampling algorithm for Bayesian Estimation of reduced Reparametrized Unifed Model (rRUM), described by Culpepper and Hudson (2017) <doi: 10.1177/0146621617707511>.