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We have developed fast software for machine learning.
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MLPACK: Fast Machine Learning Software
Ryan Curtin, Ryan Riegel, Garry Boyer, Nikolaos Vasiloglou, Nadeem Syed, and Alexander G. Gray
Georgia Institute of Technology Technical Report, 2010


MLPACK is intended the fill the void of efficient machine learning software, based on the state-of-the-art algorithms from the machine learning research literature. [pdf]

Abstract: MLPACK is a package of machine learning routines based on the state-of-the-art algorithms from the machine learning research literature, based on a C++ library called Fastlib. It is designed to integrate seamlessly with LAPACK, upon which its data representation is based. MLPACK is significantly faster than the major alternatives which are reasonably comprehensive -- Weka, Matlab, and R.

@techreport{curtin2010mlpack, title = "{MLPACK: Software for Scalable Machine Learning}", author = "Ryan Curtin and Garry Boyer and Ryan Riegel and Nikolaos Vasiloglou and Nadeem Syed and Alexander G. Gray", institution = "{Georgia Institute of Technology}", series = "{College of Computing Technical Report}", year = "2010" }
In preparation


Visual Analytics and Machine Learning System
We are working on the long-term goal of building a system which can allow naive users to employ sophisticated machine learning without any background in data analysis.