Projects in Awesome Lists tagged with factor-graph

https://github.com/dongjing3309/minisam

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

factor-graph least-squares optimization robotics slam

Last synced: 11 Apr 2025

https://github.com/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.

factor-graph gnss imu lidar localization sensor-fusion state-estimation

Last synced: 09 Apr 2025

https://github.com/koide3/gtsam_points

A collection of GTSAM factors and optimizers for point cloud SLAM

bundle-adjustment continuous-time cuda factor-graph gpu gtsam kdtree localization mapping point-cloud registration slam voxelmap

Last synced: 12 Apr 2025

https://github.com/mbforbes/py-factorgraph

Factor graphs and loopy belief propagation implemented in Python

factor factor-graph graph lbp loopy-belief-propagation sum-product

Last synced: 27 Jan 2026

https://github.com/biaslab/forneylab.jl

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

bayesian-methods factor-graph machine-learning probabilistic-graphical-models probabilistic-programming state-space-models

Last synced: 06 Nov 2025

https://github.com/cggos/state_estimation

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

bundle-adjustment factor-graph optimization pose-graph-optimization state-estimation

Last synced: 16 Mar 2025

https://github.com/andreacasalino/easy-factor-graph

General purpose C++ library for managing discrete factor graphs

artificial-intelligence artificial-intelligence-algorithms bayesian-methods bayesian-network cpp factor-graph factor-graphs graphical-models machine-learning probabilistic-graphical-models probability training

Last synced: 04 Oct 2025

https://github.com/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.

belief-propagation factor-graph gaussian-distribution power-systems state-estimation

Last synced: 19 Apr 2025

https://github.com/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.

aging-model belief-propagation dynamical-systems factor-graph fast-algorithm forward-backward-algorithm gaussian-distribution ill-conditioned inference-algorithms julia kahan-summation linear-systems loopy-belief-propagation message-passing noisy-data random-variables state-estimation sum-product tree-graph

Last synced: 04 May 2025

https://github.com/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.

aging-model belief-propagation dynamical-systems factor-graph fast-algorithm forward-backward-algorithm gaussian-distribution ill-conditioned inference-algorithms julia kahan-summation linear-systems loopy-belief-propagation message-passing noisy-data random-variables state-estimation sum-product tree-graph