GPUMLib

beta

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Download GPUMLib 0.2.3 (source code)
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Description

GPU Machine Learning Library. This library aims to provide machine learning researchers and practitioners with a high performance library by taking advantage of the GPU enormous computational power. The library is developed in C++ and CUDA.

GPUMLib Web Site

Features

  • Multiple Back-Propagation
  • Back-Propagation
  • Radial Basis Functions
  • Non-Negative Matrix Factorization
  • Semi-Supervised Non-Negative Matrix Factorization (SSNMF)
  • Restricted Boltzmann Machines
  • Deep Belief Networks
  • Autonomous Training System
  • Support Vector Machines (SVMs)

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User Reviews

  • nolanellis
    1 of 5 2 of 5 3 of 5 4 of 5 5 of 5

    merci beaucoup

    Posted 11/05/2012
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Additional Project Details

Intended Audience

Developers, Education, Engineering, Science/Research

Programming Language

C++

Registered

2010-02-21
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