GPstuff - Gaussian process models for Bayesian analysis

[CVPR2023 Highlight] Marching-Primitives: Shape Abstraction from Signed Distance Function

Matlab interface to Stan, a package for Bayesian inference

Bayesian Data Analysis demos for Matlab/Octave

A Matlab toolbox for sampling inverse problems with complex priors

Optimised estimates of reproduction numbers over time, which extract more information from an incidence curve than many conventional approaches

Image segmentation using the EM algorithm that relies on a GMM for intensities and a MRF model on the labels. Based on "Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm" (Zhang, Y et al.)

[Signal Processing 2020] Official implementation for "Bayesian Fusion for Infrared and Visible Images"

Bayesian Statistics Guide

A machine learning algorithm that estimates the directions of arrival and relative levels of an arbitrary number of sound sources using recorded data from a 16-channel spherical microphone array.

An efficient and robust probabilistic approach for fitting superellipse to point clouds.

Code for 'Relational Deep Learning: A Deep Latent Variable Model for Link Prediction' - AAAI

Bayasian Sequential Simulation (BSS)

TrueSkill extension accommodating score-based match outcomes and home field advantage

A MAP-MRF Framework for Image Denoising

Normal Influence Diagram Matlab Code for Kalman Filtering

Bayesian Orthogonal Matching Pursuit (Bernoulli-Gaussian)

Coffee beans classification based on computational intelligence techniques

MATLAB code to calculate a new version of the Signed Rank Test for comparing two classifiers on multiple datasets, as explained in a paper by Benavoli et al. (2017). The code is adapted from the python library baycomp.

Bayesian zero-constrained regression with compositional covariates