Skip to main content
Help us improve PyPI by participating in user testing. All experience levels needed!

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

Project details

Release history Release notifications

This version
History Node


History Node


History Node


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

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

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging CloudAMQP CloudAMQP RabbitMQ AWS AWS Cloud computing Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page