shogun | A Large Scale Machine Learning Toolb...
The machine learning toolbox's focus is on large scale kernel methods and ... The toolbox not only provides efficient implementations of the most common ...
http://www.shogun-toolbox.org/
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Picalo: Data Analysis and Fraud Detection Toolkit
Want to know how Picalo compares to other products like ACL, IDEA, or Numarray? ... Home | FAQ | Contact Us. Copyright © 2009 Picalo.org. All rights reserved. ...
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Modular toolkit for Data Processing (MDP)
Modular toolkit for Data Processing (MDP) Homepage ... ( 2008) 2:8. Homepage: http://mdp-toolkit.sourceforge.net. You can get the paper here. ...
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Pyro, Python Robotics: Pyro
In fact, Pyro is used for real robotics research as well as courseware. Pyro is written ... Python is an interpreted language, which means that you can experiment ...
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Elements of Statistical Learning: data mining, inference, and prediction. 2nd Edition.
No information avaiable
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Numpy Home Page
NumPy is the fundamental package needed for scientific computing with Python. ... Besides its obvious scientific uses, NumPy can also be used as an efficient ...
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MALLET homepage
In addition to classification, MALLET includes tools for sequence tagging for ... MALLET: A Machine Learning for Language Toolkit." http://mallet.cs.umass.edu. 2002. ...
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IPython - An enhanced Interactive Python
An enhanced interactive Python shell with many features for object introspection, system shell access, and its own special command system for adding functionality ...
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C o r e P y : Synthetic Programming in Python
Synthetic Programming is a new approach to generating high-performance ... home | downloads | documentation | papers | contact © 2009 corepy.org ...
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Twisted Matrix Labs: Twisted Matrix Laboratories
It's a new year, and with it comes the need for additional sponsorship. ... While we're very proud of our track record so far, we still need your help to ...
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Weka 3 - Data Mining with Open Source Machine Learning Software in Java
A collection of tools that implement decision trees and tables, rule learners, ... The algorithms can either be applied directly to a dataset or called from ...
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