sum-product
There are 20 repositories under sum-product topic.
mbforbes/py-factorgraph
Factor graphs and loopy belief propagation implemented in Python
krashkov/Belief-Propagation
Overview and implementation of Belief Propagation and Loopy Belief Propagation algorithms: sum-product, max-product, max-sum
xdsopl/LDPC
Playing with Low-density parity-check codes
JuliaRobotics/IncrementalInference.jl
Clique recycling non-Gaussian (multi-modal) factor graph solver; also see Caesar.jl.
danbar/fglib
factor graph library
FranxYao/Partially-Observed-TreeCRFs
Implementation of AAAI 21 paper: Nested Named Entity Recognition with Partially Observed TreeCRFs
thadikari/ldpc_decoders
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.
mcosovic/FactorGraph.jl
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.
rbga/Low_Density_Parity_Check_LDPC_Codes_-_MATLAB_Simulation
LDPC MATLAB simulation using BPSK + AWGN modulation decoded using Sum Product and Min Sum Algorithm
mcosovic/GBP_noisy_linear_systems
Gaussian belief propagation solver for noisy linear systems with real coefficients and variables.
zanarashidi/loopy-belief-propagation-using-CUDA
An implementation of the Loopy Belief Propagation algorithm using CUDA
Lcrypto/LDPC
AVX implementation of different LDPC decoders MS NMS SCMS SCSP under floor/layer schedulers
tomsch420/fglib2
Clean Factor Graphs in Python
Chitraketu/pgm_inference
This is a project in which exact inference for tree-structured graph and approximate inference for general graph is implemented.
erstre/forward_backward_sum_product
Matlab implementation of Sum-product algorithm for analyzing the behavior of the S&P 500 index over a period of time.
linkingmon/QCLDPC
Special Project - QCLDPC (2019 Spring)
SayanChakraborty126/ML-CODES
This repository contains Python codes for Autoenncoder, Sparse-autoencoder, HMM, Expectation-Maximization, Sum-product Algorithm, ANN, Disparity map, PCA.
stdlib-js/stats-incr-msumprod
Compute a moving sum of products incrementally.
stdlib-js/stats-incr-sumprod
Compute a sum of products incrementally.