About 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...
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)
Previous Versions
Here you can find the changelog of GPUMLib since it was posted on our website on 2015-04-25 03:00:00.
The latest version is 0.3.5 and it was updated on 2024-04-22 15:38:35. See below the changes in each version.
GPUMLib version 0.3.5
Updated At: 2017-09-18
GPUMLib version Version%200.1.4
Updated At: 2010-08-19
Changes: Several fixes and updates
Disclaimer
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