DiffSharp 0.7.7

.NET Framework 4.6 This package targets .NET Framework 4.6. The package is compatible with this framework or higher.
There is a newer prerelease version of this package available.
See the version list below for details. 
dotnet add package DiffSharp --version 0.7.7
                    


                    

                
NuGet\Install-Package DiffSharp -Version 0.7.7
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package. 
<PackageReference Include="DiffSharp" Version="0.7.7" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
<PackageVersion Include="DiffSharp" Version="0.7.7" />
                    


                            Directory.Packages.props
                        

                    

                
<PackageReference Include="DiffSharp" />
                    


                            Project file
For projects that support Central Package Management (CPM), copy this XML node into the solution Directory.Packages.props file to version the package. 
paket add DiffSharp --version 0.7.7
                    


                    

                
#r "nuget: DiffSharp, 0.7.7"
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package. 
#addin nuget:?package=DiffSharp&version=0.7.7
                    


                            Install DiffSharp as a Cake Addin
                        

                    

                
#tool nuget:?package=DiffSharp&version=0.7.7
                    


                            Install DiffSharp as a Cake Tool

DiffSharp is an automatic differentiation (AD) library.

AD allows exact and efficient calculation of derivatives, by systematically invoking the chain rule of calculus at the elementary operator level during program execution. AD is different from numerical differentiation, which is prone to truncation and round-off errors, and symbolic differentiation, which is affected by expression swell and cannot fully handle algorithmic control flow.

Using the DiffSharp library, derivative calculations (gradients, Hessians, Jacobians, directional derivatives, and matrix-free Hessian- and Jacobian-vector products) can be incorporated with minimal change into existing algorithms. Diffsharp supports nested forward and reverse AD up to any level, meaning that you can compute exact higher-order derivatives or differentiate functions that are internally making use of differentiation. Please see the API Overview page for a list of available operations.

The library is under active development by Atılım Güneş Baydin and Barak A. Pearlmutter mainly for research applications in machine learning, as part of their work at the Brain and Computation Lab, Hamilton Institute, National University of Ireland Maynooth.

DiffSharp is implemented in the F# language and can be used from C# and the other languages running on Mono or the .Net Framework, targeting the 64 bit platform. It is tested on Linux and Windows. We are working on interfaces/ports to other languages.

Product Compatible and additional computed target framework versions.
.NET Framework net46 is compatible.  net461 was computed.  net462 was computed.  net463 was computed.  net47 was computed.  net471 was computed.  net472 was computed.  net48 was computed.  net481 was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages (1)

Showing the top 1 NuGet packages that depend on DiffSharp:

Package Downloads
Hype

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).

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last updated
0.8.4-beta 2,046 8/24/2019 0.8.4-beta is deprecated because it is no longer maintained.
0.8.3-beta 640 7/4/2019
0.8.2-beta 604 6/25/2019
0.8.1-beta 595 6/20/2019
0.8.0-beta 618 6/11/2019
0.7.7 5,211 12/25/2015
0.7.6 1,608 12/15/2015
0.7.5 1,700 12/6/2015
0.7.4 1,638 10/13/2015
0.7.3 1,685 10/6/2015
0.7.2 1,734 10/4/2015
0.7.1 1,553 10/4/2015
0.7.0 1,457 9/29/2015
0.6.3 1,931 7/18/2015
0.6.2 1,328 6/6/2015
0.6.1 1,369 6/2/2015
0.6.0 1,566 4/26/2015
0.5.10 1,380 3/27/2015
0.5.9 1,594 2/26/2015
0.5.8 1,757 2/23/2015
0.5.7 1,530 2/17/2015
0.5.6 1,547 2/13/2015
0.5.5 1,544 12/15/2014
0.5.4 1,603 11/23/2014
0.5.3 2,304 11/7/2014
0.5.2 2,074 11/4/2014
0.5.1 1,307 10/27/2014
0.5.0 1,376 10/2/2014

Please visit

https://github.com/DiffSharp/DiffSharp/releases

for the latest release notes.