Notebook-based book "Introduction to Robotics and Perception" by Frank Dellaert and Seth Hutchinson
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Dec 23, 2024 - Jupyter Notebook
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factor-graphs
Here are 26 public repositories matching this topic...
Sparse nonlinear least squares in JAX
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Dec 23, 2024 - Python
Clique recycling non-Gaussian (multi-modal) factor graph solver; also see Caesar.jl.
robotics optimization julia-language inference caesar isam bayes slam state-estimation factor-graphs bayes-tree multi-modal parametric bayes-network sum-product belief-propagation nonparametric multi-hypothesis chapman-kolmogorov filtering-algorithm
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Dec 17, 2024 - Julia
robotics motion-planning ros factor-graphs probabilistic-inference trajectory-estimation gpmp2 steap
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Sep 1, 2021 - C++
General purpose C++ library for managing discrete factor graphs
training machine-learning cpp probability bayesian-network artificial-intelligence bayesian-methods graphical-models factor-graphs probabilistic-graphical-models artificial-intelligence-algorithms factor-graph
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Feb 8, 2024 - C++
The junction tree algorithm for (discrete) factor graphs
inference graphical-models factor-graphs bayesian-networks marginalization junction-trees clique-potentials
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Apr 23, 2022 - Python
Combined Learning from Demonstration and Motion Planning
manipulation trajectory-optimization factor-graphs robot-learning learning-from-demonstration probabilistic-inference
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Feb 5, 2019 - MATLAB
The source code repository for the FactorBase system
bayesian-network mysql-database relational-databases relational-database factor-graphs bayesian-networks structure-learning log-linear-model relational-learning big-model markov-logic-network mln relational-dependency-network rdn bif
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Mar 17, 2024 - Java
GTSAM <-> mrpt-serialization bridge
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Nov 17, 2022 - C++
Clean Factor Graphs in Python
factor-graphs variables probabilistic-graphical-models sum-product belief-propagation probability-theory probabilistic-machine-learning reasoning-under-uncertainty
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Jan 2, 2024 - 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.
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Aug 25, 2020 - R
Source code for the paper "Lifting Factor Graphs with Some Unknown Factors" (ECSQARU 2023)
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Mar 14, 2024 - Julia
Schedule-free variational message passing on factor graphs
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Mar 29, 2020 - Julia
Designing and training probabilistic graphical models (MATLAB).
hmm graphs graphical-models factor-graphs probabilistic-graphical-models hidden-markov-models hidden-states
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Mar 30, 2021 - MATLAB
ForneyLab.jl factor node for a nonlinear autoregressive model with exogenous input.
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Feb 16, 2021 - Julia
Source code for the paper "Colour Passing Revisited: Lifted Model Construction with Commutative Factors" (AAAI 2024)
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Mar 14, 2024 - Julia
ForneyLab.jl factor node for a nonlinear latent autoregressive model with exogenous input.
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Aug 5, 2021 - Julia
This is a project in which exact inference for tree-structured graph and approximate inference for general graph is implemented.
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Dec 10, 2019 - Python
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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Nov 18, 2024 - Julia
Source code for the paper "Efficient Detection of Commutative Factors in Factor Graphs" (PGM 2024)
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Jul 15, 2024 - Julia
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