Notebook-based book "Introduction to Robotics and Perception" by Frank Dellaert and Seth Hutchinson
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Updated
Jan 21, 2025 - Jupyter Notebook
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
Access NavAbility(TM) Accelerator features from JuliaLang.
Source code for the paper "Lifting Factor Graphs with Some Unknown Factors" (ECSQARU 2023)
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.
Schedule-free variational message passing on factor graphs
Designing and training probabilistic graphical models (MATLAB).
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)
This is a project in which exact inference for tree-structured graph and approximate inference for general graph is implemented.
ForneyLab.jl factor node for a nonlinear latent autoregressive model with exogenous input.
Source code for the paper "Lifted Model Construction without Normalisation: A Vectorised Approach to Exploit Symmetries in Factor Graphs" (LoG 2024)
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