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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

Release History

This version
History Node

0.2

History Node

0.1.1

History Node

0.1.dev0

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Filename, Size & Hash SHA256 Hash Help File Type Python Version Upload Date
megaman-0.2.tar.gz
(8.5 MB) Copy SHA256 Hash SHA256
Source None Jun 16, 2016

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