Factor graphs and nonlinear least squares for JAX
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Updated
Apr 2, 2022 - Python
Factor graphs and nonlinear least squares for JAX
Notebook-based book "Introduction to Robotics and Perception" by Frank Dellaert and Seth Hutchinson
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
ForneyLab.jl factor node for a nonlinear autoregressive model with exogenous input.
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.
This is a project in which exact inference for tree-structured graph and approximate inference for general graph is implemented.
Schedule-free variational message passing on factor graphs
ForneyLab.jl factor node for a nonlinear latent autoregressive model with exogenous input.
ForneyLab.jl factor node for a latent autoregressive model with exogenous input.
Designing and training probabilistic graphical models (MATLAB).
Proof of concept for online hybrid message passing inference for AR-HGF.
ForneyLab.jl factor node for generalised filtering with exogenous input.
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