megaman: Manifold Learning for Millions of Points
Project description
This repository contains a scalable implementation of several manifold learning algorithms, making use of FLANN for fast approximate nearest neighbors and PyAMG, LOBPCG, ARPACK, and other routines for fast matrix decompositions.
For more information, visit https://github.com/mmp2/megaman
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