GPUMLib

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.

Features

Multiple Back-Propagation (MBP)
Back-Propagation (BP)
Radial Basis Functions (RBF)
Non-Negative Matrix Factorization (NMF)
Semi-Supervised Non-Negative Matrix Factorization (SSNMF)
Restricted Boltzmann Machines (RBM)
Deep Belief Networks (DBN)
Autonomous Training System (ATS)
Support Vector Machines (SVM)
Self Organizing Maps (SOM)

Project Samples

Project Activity

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License

GNU General Public License version 3.0 (GPLv3)

Follow GPUMLib

GPUMLib Web Site

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Additional Project Details

Intended Audience

Science/Research, Education, Developers, Engineering

User Interface

.NET/Mono, Console/Terminal, Qt

Programming Language

C#, C++

Related Categories

C# Machine Learning Software, C++ Machine Learning Software

Registered

2010-02-22

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