megaman

megaman: Manifold Learning for Millions of Points

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Development Status
- 4 - Beta
Environment
- Console
Intended Audience
- Science/Research
License
- OSI Approved :: BSD License
Natural Language
- English
Programming Language

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

Project details

These details have not been verified by PyPI

Project links

GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Development Status
- 4 - Beta
Environment
- Console
Intended Audience
- Science/Research
License
- OSI Approved :: BSD License
Natural Language
- English
Programming Language

Release history Release notifications | RSS feed

This version

0.2

Jun 16, 2016

0.1.1

Mar 10, 2016

0.1.dev0 pre-release

Feb 29, 2016

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megaman-0.2.tar.gz (8.5 MB view hashes)

Uploaded Jun 16, 2016 Source

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