geomstats and geomfum
These are complementary tools: geomstats provides a general-purpose framework for Riemannian geometry and statistics on manifolds, while geomfum specializes in a specific geometric technique (functional maps) for shape analysis and correspondence problems that could leverage geomstats' computational infrastructure.
About geomstats
geomstats/geomstats
Computations and statistics on manifolds with geometric structures.
This package helps researchers and practitioners perform computations, statistics, and machine learning on complex, non-Euclidean data like shapes, curves, or statistical distributions. It takes in data points that reside on geometric manifolds and outputs statistical insights, classifications, or learned models tailored to the data's inherent geometry. This is useful for scientists, engineers, and data analysts working with non-standard data types where traditional Euclidean methods fall short.
About geomfum
3diglab/geomfum
Geometry processing and machine learning with functional maps.
This tool helps researchers and engineers working with 3D shapes to analyze and compare them effectively. You input 3D mesh data or point clouds, and it outputs correspondences or transformations between different shapes, even if they are non-rigid or distorted. It's designed for computational geometry and computer graphics professionals who need to understand shape relationships.
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