Notebook-based book "Introduction to Robotics and Perception" by Frank Dellaert and Seth Hutchinson
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Jan 10, 2026 - Jupyter Notebook
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factor-graphs
Here are 46 public repositories matching this topic...
slamplay is a collection of powerful tools to start playing and experimenting with SLAM in C++
deep-learning object-detection slam factor-graphs semantic-segmentation optimization-algorithms 3d-visualization depth-estimation feature-matching loop-closure
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May 19, 2026 - C++
Sparse nonlinear least squares in JAX
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Jun 22, 2026 - Python
Hybrid (non)-Gaussian solver for Distributed Factor Graphs, with clique recycling; and is officially supported as part of the NavAbility(TM) toolchain and Caesar.jl ecosystem.
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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Aug 10, 2026 - Julia
robotics motion-planning ros factor-graphs probabilistic-inference trajectory-estimation gpmp2 steap
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Sep 1, 2021 - C++
JAX Framework for Parameterized Stochastic Circuits (PSCs) and Directed Factor Graphs (DFGs) of Kernels
markov-chains factor-graphs jax stochastic-computing probabilistic-computing thermodynamic-computing
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Aug 13, 2026 - Python
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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Aug 13, 2026 - 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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Jun 11, 2026 - 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
Access NavAbility(TM) Accelerator features from JuliaLang.
sdk camera robotics imu robots lidar localization-tool slam factor-graphs julialang slam-algorithms data-fusion multisensor mapping-tools calibration-toolbox reality-capture mapper-algorithm gps-denied guidance-navigation-control
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Apr 28, 2026 - Julia
Unified Autonomy Stack via Gaussian Belief Propagation is a distributed inference framework that unifies planning, control, and estimation for multi-robot systems by casting everything as GBP on a factor graph. It produces collision-aware trajectories and control in real time.
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Aug 1, 2025 - Python
Stereo-inertial SLAM project: calibrate with Kalibr and improve VIO trajectory accuracy.
computer-vision robotics camera-calibration slam sensor-fusion factor-graphs visual-inertial-odometry stereo-vision
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May 1, 2026 - C++
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
Source code for the paper "Lifting Factor Graphs with Some Unknown Factors" (ECSQARU 2023)
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Mar 14, 2024 - Julia
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
Schedule-free variational message passing on factor graphs
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Mar 29, 2020 - Julia
Factor graphs based on IndexedGraphs.jl
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Jun 23, 2026 - Julia
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