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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

Release History

This version
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0.2

History Node

0.1.1

History Node

0.1.dev0

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
megaman-0.2.tar.gz (8.5 MB) Copy SHA256 Checksum SHA256 Source Jun 16, 2016

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