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

See All Activity >

License

GNU General Public License version 3.0 (GPLv3)

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Additional Project Details

Intended Audience

Developers, Education, Engineering, Science/Research

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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