Hype 0.1.3

Hype: Compositional Machine Learning and Hyperparameter Optimization

Hype is a proof-of-concept deep learning library, where you can perform optimization on compositional machine learning systems of many components, even when such components themselves internally perform optimization.

This is enabled by nested automatic differentiation (AD) giving you access to the automatic exact derivative of any floating-point value in your code with respect to any other. Underlying computations are run by a BLAS/LAPACK backend (OpenBLAS by default).

Install-Package Hype -Version 0.1.3
dotnet add package Hype --version 0.1.3
<PackageReference Include="Hype" Version="0.1.3" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Hype --version 0.1.3
The NuGet Team does not provide support for this client. Please contact its maintainers for support.

Release Notes

Please visit

https://github.com/hypelib/Hype/releases

for the latest release notes.

Version History

Version Downloads Last updated
0.1.3 688 12/26/2015
0.1.2 313 12/15/2015
0.1.1 284 12/6/2015
0.1.0 277 11/16/2015