MathNet.Numerics.MKL.Win-x64 3.0.0-beta2 The ID prefix of this package has been reserved for one of the owners of this package by NuGet.org. Prefix Reserved

.NET 5.0 .NET Standard 2.0 .NET Framework 4.6.1
This is a prerelease version of MathNet.Numerics.MKL.Win-x64.
There is a newer version of this package available.
See the version list below for details.
Install-Package MathNet.Numerics.MKL.Win-x64 -Version 3.0.0-beta2
dotnet add package MathNet.Numerics.MKL.Win-x64 --version 3.0.0-beta2
<PackageReference Include="MathNet.Numerics.MKL.Win-x64" Version="3.0.0-beta2" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add MathNet.Numerics.MKL.Win-x64 --version 3.0.0-beta2
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
#r "nuget: MathNet.Numerics.MKL.Win-x64, 3.0.0-beta2"
#r directive can be used in F# Interactive, C# scripting and .NET Interactive. Copy this into the interactive tool or source code of the script to reference the package.
// Install MathNet.Numerics.MKL.Win-x64 as a Cake Addin
#addin nuget:?package=MathNet.Numerics.MKL.Win-x64&version=3.0.0-beta2&prerelease

// Install MathNet.Numerics.MKL.Win-x64 as a Cake Tool
#tool nuget:?package=MathNet.Numerics.MKL.Win-x64&version=3.0.0-beta2&prerelease
The NuGet Team does not provide support for this client. Please contact its maintainers for support.

Intel oneAPI MKL native libraries for Math.NET Numerics on Windows.

Product Versions
.NET net5.0 net5.0-windows net6.0 net6.0-android net6.0-ios net6.0-maccatalyst net6.0-macos net6.0-tvos net6.0-windows
.NET Core netcoreapp2.0 netcoreapp2.1 netcoreapp2.2 netcoreapp3.0 netcoreapp3.1
.NET Standard netstandard2.0 netstandard2.1
.NET Framework net461 net462 net463 net47 net471 net472 net48
MonoAndroid monoandroid
MonoMac monomac
MonoTouch monotouch
Tizen tizen40 tizen60
Xamarin.iOS xamarinios
Xamarin.Mac xamarinmac
Xamarin.TVOS xamarintvos
Xamarin.WatchOS xamarinwatchos
Compatible target framework(s)
Additional computed target framework(s)
Learn more about Target Frameworks and .NET Standard.

NuGet packages (5)

Showing the top 5 NuGet packages that depend on MathNet.Numerics.MKL.Win-x64:

Package Downloads
Microsoft.Quantum.Research.Simulation The ID prefix of this package has been reserved for one of the owners of this package by NuGet.org.

Quantum research libraries for quantum simulation (non-commercial).

CaptchaRecognition.AlgoCore

Captcha Recognition for DE UI based on Nerual Nets

NyaongNet.NyMath

Nyaong C# Library Math

FSound

Description

HTM.Net

Hierarchical Temporal Memory (HTM)

GitHub repositories (2)

Showing the top 2 popular GitHub repositories that depend on MathNet.Numerics.MKL.Win-x64:

Repository Stars
microsoft/CryptoNets
CryptoNets is a demonstration of the use of Neural-Networks over data encrypted with Homomorphic Encryption. Homomorphic Encryptions allow performing operations such as addition and multiplication over data while it is encrypted. Therefore, it allows keeping data private while outsourcing computation (see here and here for more about Homomorphic Encryptions and its applications). This project demonstrates the use of Homomorphic Encryption for outsourcing neural-network predictions. The scenario in mind is a provider that would like to provide Prediction as a Service (PaaS) but the data for which predictions are needed may be private. This may be the case in fields such as health or finance. By using CryptoNets, the user of the service can encrypt their data using Homomorphic Encryption and send only the encrypted message to the service provider. Since Homomorphic Encryptions allow the provider to operate on the data while it is encrypted, the provider can make predictions using a pre-trained Neural-Network while the data remains encrypted throughout the process and finaly send the prediction to the user who can decrypt the results. During the process the service provider does not learn anything about the data that was used, the prediction that was made or any intermediate result since everything is encrypted throughout the process. This project uses the Simple Encrypted Arithmetic Library SEAL version 3.2.1 implementation of Homomorphic Encryption developed in Microsoft Research.
jdermody/brightwire
Bright Wire is an open source machine learning library for .NET with GPU support (via CUDA)
Version Downloads Last updated
3.0.0 2,777 4/3/2022
3.0.0-beta3 1,361 2/19/2022
3.0.0-beta2 93 12/29/2021
3.0.0-beta1 68 12/23/2021
2.6.0-beta3 74 12/19/2021
2.6.0-beta2 83 12/9/2021
2.5.0 30,206 1/1/2021
2.4.0 13,308 5/22/2020
2.3.0 180,020 2/14/2018
2.2.0 32,068 10/30/2016
2.1.0 1,406 9/8/2016
2.0.0 7,267 9/26/2015
1.8.0 8,419 5/9/2015
1.7.0 2,393 12/31/2014
1.6.0 1,902 6/21/2014
1.5.0 924 6/15/2014
1.4.0 1,255 3/1/2014
1.3.0 1,563 5/1/2013
1.2.1 1,475 2/4/2013
1.2.0 1,010 2/3/2013

New binary names and package structure with runtime folders