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.
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Gaussian Process Motion Planner 2
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
An Iterative Closest Point (ICP) library for 2D and 3D mapping in Robotics
Numerical linear algebra software package
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
lightweight, standalone C++ inference engine for Google's Gemma models.
