factor-graphs

There are 0 repository under factor-graphs topic.

gtbook / robotics
Notebook-based book "Introduction to Robotics and Perception" by Frank Dellaert and Seth Hutchinson
factor-graphs jupyter-notebook perception robotics
Language:Jupyter Notebook 292
brentyi / jaxfg
Factor graphs and nonlinear least squares for JAX
factor-graphs jax nonlinear-optimization
Language:Python 161
JuliaRobotics / IncrementalInference.jl
Clique recycling non-Gaussian (multi-modal) factor graph solver; also see Caesar.jl.
factor-graphs bayes bayes-tree inference slam robotics optimization sum-product belief-propagation isam nonparametric parametric multi-modal julia-language state-estimation multi-hypothesis caesar bayes-network filtering-algorithm chapman-kolmogorov
Language:Julia 72
gtrll / piper
ros probabilistic-inference factor-graphs robotics motion-planning trajectory-estimation gpmp2 steap
Language:C++ 60
andreacasalino / Easy-Factor-Graph
General purpose C++ library for managing discrete factor graphs
bayesian-network cpp training machine-learning artificial-intelligence artificial-intelligence-algorithms bayesian-methods probabilistic-graphical-models probability factor-graph factor-graphs graphical-models
Language:C++ 28
jluttine / junction-tree
The junction tree algorithm for (discrete) factor graphs
junction-trees factor-graphs clique-potentials inference bayesian-networks graphical-models marginalization
Language:Python 18
GT-RAIL / clamp
Combined Learning from Demonstration and Motion Planning
learning-from-demonstration trajectory-optimization factor-graphs manipulation robot-learning probabilistic-inference
Language:MATLAB 11
sfu-cl-lab / FactorBase
The source code repository for the FactorBase system
bayesian-network structure-learning relational-database log-linear-model factor-graphs mysql-database relational-learning big-model markov-logic-network mln relational-dependency-network rdn bayesian-networks relational-databases bif
Language:Java 10
MRPT / gtsam2mrpt_serial
GTSAM <-> mrpt-serialization bridge
factor-graphs gtsam mrpt robotics serialization serialization-library slam
Language:C++ 4
tomsch420 / fglib2
Clean Factor Graphs in Python
belief-propagation factor-graphs probabilistic-graphical-models probabilistic-machine-learning probability-theory sum-product variables reasoning-under-uncertainty
Language:Python 4
biaslab / NARX
ForneyLab.jl factor node for a nonlinear autoregressive model with exogenous input.
message-passing factor-graphs autoregressive-processes
Language:Julia 1
Chitraketu / pgm_inference
This is a project in which exact inference for tree-structured graph and approximate inference for general graph is implemented.
pgm inference sum-product max-product max-sum factor-graphs
Language:Python 1
julieschut / hmmasToFactorGraphs
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.
r machine-learning factor-graphs
Language:R 1
wmkouw / NLARX
ForneyLab.jl factor node for a nonlinear latent autoregressive model with exogenous input.
message-passing factor-graphs autoregressive-processes latent-variables
Language:Julia 1
jonzia / ProbabilisticGraphs
Designing and training probabilistic graphical models (MATLAB).
graphical-models factor-graphs probabilistic-graphical-models hmm hidden-markov-models hidden-states graphs
Language:MATLAB 0
ChainModels.jl
stecrotti / ChainModels.jl
Discrete probability distributions factorized on a one-dimensional chain
chain factor-graphs probability-distributions
Language:Julia 0
stecrotti / IndexedFactorGraphs.jl
Factor graphs based on IndexedGraphs.jl
factor-graphs factorized-distribution-algorithms graphs message-passing
Language:Julia 0
biaslab / L4DC-2020
Proof of concept for online hybrid message passing inference for AR-HGF.
time-varying autoregressive hierarchical-models factor-graphs online-learning-algorithms message-passing
Language:Jupyter Notebook
StatisticalRelationalAI / DEFT
Source code for the paper "Efficient Detection of Exchangeable Factors in Factor Graphs" (FLAIRS 2024)
factor-graphs probabilistic-graphical-models lifted-inference
Language:Julia
wmkouw / GFX
ForneyLab.jl factor node for generalised filtering with exogenous input.
message-passing factor-graphs state-space-models
Language:Jupyter Notebook
wmkouw / LARX
ForneyLab.jl factor node for a latent autoregressive model with exogenous input.
factor-graphs message-passing variational-inference
Language:Julia
wmkouw / schedulefree-mp
Schedule-free variational message passing on factor graphs
efficient variational-message-passing factor-graphs bayesian-inference
Language:Julia