factor-graph

dongjing3309/minisam

A general and flexible factor graph non-linear least square optimization framework

leggedrobotics/graph_msf

A graph-based multi-sensor fusion framework. It can be used to fuse various relative or absolute measurments with IMU readings in real-time.

mbforbes/py-factorgraph

Factor graphs and loopy belief propagation implemented in Python

biaslab/ForneyLab.jl

Julia package for automatically generating Bayesian inference algorithms through message passing on Forney-style factor graphs.

krashkov/Belief-Propagation

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

MarineRoboticsGroup/dcsam

Factored inference for discrete-continuous smoothing and mapping.

shaolinbit/minisam_lib

Lightweighted graph optimization (Factor graph) library.

wvu-navLab/RobustGNSS

Robust GNSS Processing With Factor Graphs

lppllppl920/SAGE-SLAM

Official repo for the paper "SAGE: SLAM with Appearance and Geometry Prior for Endoscopy" (ICRA 2022)

cggos/state_estimation

State Estimation for SLAM: Filter(EKF, Particle Filter), MAP(GN, LM), Solver(Ceres-Solver, G2O, GTSAM), Bundle Adjustment

danbar/fglib

factor graph library

wvu-navLab/ICE

Software Release for "Incremental Covariance Estimation for Robust Localization"

wvu-navLab/PPP-BayesTree

Code release for "Evaluation of Precise Point Positioning Convergence with an Incremental Graph Optimizer".

zhaoqj23/FE-GUT

A novel architecture in which the Factor Graph Optimization (FGO) is hybrid with the Extended Kalman Filter (EKF) for tightly coupled GNSS/UWB integration with online Temporal calibration (FE-GUT).

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/Belief_Propagation_DC_State_Estimation

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

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.

andreacasalino/Easy-Factor-Graph

General purpose C++ library for managing discrete factor graphs

mbforbes/factorgraph-viz

Factor graph visualization with d3.js

wvu-navLab/Enabling-Robust-State-Estimation-through-Measurement-Error-Covariance-Adaptation

Software release for "Enabling Robust State Estimation through Measurement Error Covariance Adaptation"

THUDM/eTrust

Source code and dataset for TKDE 2019 paper “Trust Relationship Prediction in Alibaba E-Commerce Platform”

mcosovic/GBP_noisy_linear_systems

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

rahul-sb/SLAMusingGTSAM

Offline Simultaneous Localization and Mapping using GTSAM

Eagleflag88/MultiModalEvnPercption

Experimental platform to achieve fused environment perception using different modalities of sensors

JustJoeyGreen/belief_propagation_attack

Implementation of the Belief Propagation Side Channel Attack

chaitanya1123/Shilling-Attacks-PGM

A Probabilistic Graphical approach to detect different types of shilling attacks on Recommender Systems.

hamzaelsaawy/DiscreteFactors.jl

Factor potentials for factor graphs, Bayesian networks, and Markov random fields

DhyeyR-007/Pose-Graph-SLAM

Developed and implemented 2D and 3D Pose Graph SLAM using the GTSAM library and Gauss Newton Solver on the Intel and Parking Garage g2o datasets respectively

kangqi-ni/sensor_fusion_for_localization_learning

深蓝学院多传感器融合定位 Implementation of Multi-sensor Fusion SLAM Algorithms

silvery107/gtsam-pose-slam-practice

Pratice and example to solve the pose graph SLAM problem using GTSAM

antoniomanuelfr/Survey-Propagation

Delmond/Factor-Graph-Visualizer

A short python script to visualize factor graphs passed in as matrix inputs.

kje016/Thesis

Master thesis

powei-lin/py-minisam

Pure python implementation of minisam.

salvaRC/Factor-Graph-Learning

Learn a Factor Graph, or Markov Random Field (MRF), from data/observations. I.e. do PGM parameter learning.