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).
See the version list below for details.
Install-Package Hype -Version 0.1.2
dotnet add package Hype --version 0.1.2
<PackageReference Include="Hype" Version="0.1.2" />
paket add Hype --version 0.1.2
for the latest release notes.
- DiffSharp (>= 0.7.6)
This package is not used by any popular GitHub repositories.