Overview and implementation of Belief Propagation and Loopy Belief Propagation algorithms: sum-product, max-product, max-sum

Loopy belief propagation for factor graphs on discrete variables in JAX

PyHGF: A neural network library for predictive coding

Clique recycling non-Gaussian (multi-modal) factor graph solver; also see Caesar.jl.

factor graph library

Implementation of simple block matching, block matching with dynamic programming and Stereo Matching using Belief Propagation algorithm for stereo disparity estimation

Belief propagation with sparse matrices (scipy.sparse) in Python for LDPC codes. Includes NumPy implementation of message passing (min-sum and sum-product) and a few other decoders.

Linear Gaussian Bayesian Networks - Inference, Parameter Learning and Representation. 🖧

The algorithm solves the DC state estimation problem in electric power systems using the Gaussian belief propagation over factor graphs.

The FactorGraph package provides the set of different functions to perform inference over the factor graph with continuous or discrete random variables using the belief propagation algorithm.

Conditional Associative Logic Memory

The Belief Propagation approximation for probability distributions on sparse graphs

Belief propagation on Tanner graphs (LDPC decoder)

Slides and code for the Morgan Claypool book on "Individual and Collective Graph Mining: Principles, Algorithms and Applications"

Expectation Particle Belief Propagation code

Repository contains the derivation of Belief Propagation algorithm from the ground up, as well as generic Java implementation of the Loopy Belief Propagation algorithm.

Generalized Gaussian belief propagation solvers

Gaussian belief propagation solver for noisy linear systems with real coefficients and variables.

Implementation of the Belief Propagation Side Channel Attack

A Julia interface to popular python packages for decoding quantum error correcting codes.

UvA Master thesis "Towards Quantum Graph Neural Networks". The research explores integrating quantum physics into Graph Neural Networks through methods like Tensor Networks to tackle computational challenges in quantum many-body systems.

Repository for self-teaching of Generative Models and its applications.

Advanced Message Passing

CUDA belief propagation as presented in paper "GPU implementation of belief propagation using CUDA for cloud tracking and reconstruction" published at the 2008 IAPR Workshop on Pattern Recognition in Remote Sensing (PRRS 2008). Code has been updated to work on current NVIDIA GPUs and with additional optimizations. Cite paper if using this code.

Focusing Belief Propagation on Commitee machines with binary weights

No description provided.

Sibilla

Replicated Focusing Belief Propagation algorithm

Belief-propagation receivers for nonlinear OFDM

LDPC Belief Propogation decoders