Notebook-based book "Introduction to Robotics and Perception" by Frank Dellaert and Seth Hutchinson

Sparse nonlinear least squares in JAX

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

General purpose C++ library for managing discrete factor graphs

The junction tree algorithm for (discrete) factor graphs

Combined Learning from Demonstration and Motion Planning

The source code repository for the FactorBase system

GTSAM <-> mrpt-serialization bridge

Clean Factor Graphs in Python

This project enables transforming HMM-A to factor graph to be able to be used to calculate probabilities with libDai, a C++ library, created for approximate inference in graphical models.

Source code for the paper "Lifting Factor Graphs with Some Unknown Factors" (ECSQARU 2023)

Schedule-free variational message passing on factor graphs

ForneyLab.jl factor node for a nonlinear autoregressive model with exogenous input.

Source code for the paper "Colour Passing Revisited: Lifted Model Construction with Commutative Factors" (AAAI 2024)

ForneyLab.jl factor node for a nonlinear latent autoregressive model with exogenous input.

This is a project in which exact inference for tree-structured graph and approximate inference for general graph is implemented.

Source code for the paper "Efficient Detection of Commutative Factors in Factor Graphs" (PGM 2024)

Source code for the paper "Lifted Model Construction without Normalisation: A Vectorised Approach to Exploit Symmetries in Factor Graphs" (LoG 2024)

Factor graphs based on IndexedGraphs.jl