Machine Learning/Tools: Difference between revisions
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**c-based SVM package | **c-based SVM package | ||
*[http://pyml.sourceforge.net PyML] | *[http://pyml.sourceforge.net PyML] | ||
*[http://mdp-toolkit.sourceforge.net/ MDP] | |||
**Does not stand for Markov Decision Process :( | |||
*[http://www.ailab.si/orange/ Orange] | |||
**Strong data visualization component | |||
*[http://jmlr.csail.mit.edu/mloss/ Journal of Machine Learning Software List] | |||
*[[Machine Learning/VirtualBox|VirtualBox]] Virtual Box Image with Pre-installed Libraries listed here | |||
*[http://deeplearning.net/software/theano/ Theano: Symbolic Expressions and Transparent GPU Integration] | |||
*[http://waffles.sourceforge.net/ Waffles] | |||
**Open source C++ set of machine learning command line tools. | |||
*[http://rapid-i.com/content/view/181/196/ RapidMiner] | |||
Revision as of 14:13, 16 April 2011
- OpenCV
- Computer Vision Library
- Has ML component (SVM, trees, etc)
- Online tutorials here
- Mahout
- Hadoop cluster based ML package.
- Weka
- a collection of data mining tools and machine learning algorithms.
- MOA (Massive Online Analysis)
- Offshoot of weka, has all online-algorithms
- scikits.learn
- Machine learning Python package
- LIBSVM
- c-based SVM package
- PyML
- MDP
- Does not stand for Markov Decision Process :(
- Orange
- Strong data visualization component
- Journal of Machine Learning Software List
- VirtualBox Virtual Box Image with Pre-installed Libraries listed here
- Theano: Symbolic Expressions and Transparent GPU Integration
- Waffles
- Open source C++ set of machine learning command line tools.
- RapidMiner