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

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

Factor graphs based on IndexedGraphs.jl