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Monte Carlo Machine Learning Library

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Description

MCMLL is a C++ template library (header files only! : ) ) for machine learning with an emphasis on Monte-Carlo methods. It includes a large number of different (multi-threaded) Evolutionary Algorithms, Particle Filtering framework...

Monte Carlo Machine Learning Library Web Site

Features

  • Multi-threaded
  • Expression Templates based Vector and Matrix classes
  • Powerful random number classes (several distributions)
  • Evolutionary Algorithms
  • Sequential Monte Carlo (Particle Filter)
  • Neural Networks via Evolutionary Algorithms

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Additional Project Details

Intended Audience

Science/Research, Developers

User Interface

Console/Terminal

Programming Language

C++

Registered

2010-08-25

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