Neural network unix tools and linear algebra library in C++

As of 2014-11-18, this project may now be found at https://code.google.com/p/dinrhiw2/.

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The primary aim of the project is to provide unix command line tools for machine learning: bayesian neural networks, hamiltonian monte carlo sampling, gradient descent algorithms and PCA and ICA preprocessing.

Additionally, the library contains basic algorithms for linear algebra, matrix factorizations (eigenvalue decomposition), datamining, sorting, cryptography and few other things.

Read wiki for more details.

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Science/Research, Developers

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