borglab/gtsam
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.
Gaussian Process Motion Planner 2
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GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.
A highly efficient implementation of Gaussian Processes in PyTorch
Motion planning(Path Planning and Trajectory Planning/Tracking) of AGV/AMR:python implementation of Dijkstra, A*, JPS, D*, LPA*, D* Lite, (Lazy)Theta*, RRT, RRT*, RRT-Connect, Informed RRT*, Voronoi, PID, DWA, APF, LQR, MPC, RPP, Bezier, Dubins etc.
Bayesian Optimization using GPflow
robotic motion planning library
C++ implementation of the Coherent Point Drift point set registration algorithm.