Dinrhiw2

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dinrhiw2

https://github.com/cslr/dinrhiw2
C++ machine learning library

Primary aim of the dinrhiw is to be linear algebra library and machine learning library. For this reason dinrhiw implements PCA and neural network codes. Currently, the neural network code only supports:

  • hamiltonian monte carlo sampling (HMC) and simple bayesian neural network
  • second order L-BFGS search
  • gradient descent (backpropagation)

As well as mathematical routines for arbitrary precision mathematics, hermite curve interpolation and many other things.

Documentation

https://github.com/cslr/dinrhiw2/wiki




Licensing

LicenseVerified byVerified onNotes
License:GPLv3IanK1 November 2016



Leaders and contributors

Contact(s)Role
Tomas Ukkonen Maintainer/Developer


Resources and communication

Software prerequisites

KindDescription
Required to buildblas

This entry (in part or in whole) was last reviewed on 1 November 2016.



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