megaman: Manifold Learning for Millions of Points
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
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size & hash||File type||Python version||Upload date|
|megaman-0.2.tar.gz (8.5 MB) View hashes||Source||None|