System.Numerics.Tensors 0.2.0-preview.19073.11

.NET Standard 1.1 This package targets .NET Standard 1.1. The package is compatible with this framework or higher.
This is a prerelease version of System.Numerics.Tensors.

Requires NuGet 2.8.6 or higher.

dotnet add package System.Numerics.Tensors --version 0.2.0-preview.19073.11
                    


                    

                
NuGet\Install-Package System.Numerics.Tensors -Version 0.2.0-preview.19073.11
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="System.Numerics.Tensors" Version="0.2.0-preview.19073.11" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
<PackageVersion Include="System.Numerics.Tensors" Version="0.2.0-preview.19073.11" />
                    


                            Directory.Packages.props
                        

                    

                
<PackageReference Include="System.Numerics.Tensors" />
                    


                            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 System.Numerics.Tensors --version 0.2.0-preview.19073.11
                    


                    

                
#r "nuget: System.Numerics.Tensors, 0.2.0-preview.19073.11"
#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=System.Numerics.Tensors&version=0.2.0-preview.19073.11&prerelease
                    


                            Install System.Numerics.Tensors as a Cake Addin
                        

                    

                
#tool nuget:?package=System.Numerics.Tensors&version=0.2.0-preview.19073.11&prerelease
                    


                            Install System.Numerics.Tensors as a Cake Tool

Tensor class which represents and extends multi-dimensional arrays.

Commonly Used Types:
System.Numerics.Tensors.Tensor<T>
System.Numerics.Tensors.CompressedSparseTensor<T>
System.Numerics.Tensors.DenseTensor<T>
System.Numerics.Tensors.SparseTensor<T>

Product Compatible and additional computed target framework versions.
.NET net5.0 was computed.  net5.0-windows was computed.  net6.0 was computed.  net6.0-android was computed.  net6.0-ios was computed.  net6.0-maccatalyst was computed.  net6.0-macos was computed.  net6.0-tvos was computed.  net6.0-windows was computed.  net7.0 was computed.  net7.0-android was computed.  net7.0-ios was computed.  net7.0-maccatalyst was computed.  net7.0-macos was computed.  net7.0-tvos was computed.  net7.0-windows was computed.  net8.0 was computed.  net8.0-android was computed.  net8.0-browser was computed.  net8.0-ios was computed.  net8.0-maccatalyst was computed.  net8.0-macos was computed.  net8.0-tvos was computed.  net8.0-windows was computed.  net9.0 was computed.  net9.0-android was computed.  net9.0-browser was computed.  net9.0-ios was computed.  net9.0-maccatalyst was computed.  net9.0-macos was computed.  net9.0-tvos was computed.  net9.0-windows was computed. 
.NET Core netcoreapp1.0 was computed.  netcoreapp1.1 was computed.  netcoreapp2.0 was computed.  netcoreapp2.1 was computed.  netcoreapp2.2 was computed.  netcoreapp3.0 was computed.  netcoreapp3.1 was computed. 
.NET Standard netstandard1.1 is compatible.  netstandard1.2 was computed.  netstandard1.3 was computed.  netstandard1.4 was computed.  netstandard1.5 was computed.  netstandard1.6 was computed.  netstandard2.0 was computed.  netstandard2.1 was computed. 
.NET Framework net45 was computed.  net451 was computed.  net452 was computed.  net46 was computed.  net461 was computed.  net462 was computed.  net463 was computed.  net47 was computed.  net471 was computed.  net472 was computed.  net48 was computed.  net481 was computed. 
MonoAndroid monoandroid was computed. 
MonoMac monomac was computed. 
MonoTouch monotouch was computed. 
Tizen tizen30 was computed.  tizen40 was computed.  tizen60 was computed. 
Universal Windows Platform uap was computed.  uap10.0 was computed. 
Windows Phone wpa81 was computed. 
Windows Store netcore was computed.  netcore45 was computed.  netcore451 was computed. 
Xamarin.iOS xamarinios was computed. 
Xamarin.Mac xamarinmac was computed. 
Xamarin.TVOS xamarintvos was computed. 
Xamarin.WatchOS xamarinwatchos was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

  • .NETCoreApp 2.1

    • No dependencies.

  • .NETFramework 4.5

  • .NETStandard 1.1

  • .NETStandard 2.0

  • MonoAndroid 1.0

    • No dependencies.

  • MonoTouch 1.0

    • No dependencies.

  • Portable Class Library (.NETFramework 4.5, Windows 8.0, WindowsPhoneApp 8.1)

  • UAP 10.0.16300

    • No dependencies.

  • Windows 8.0

  • WindowsPhoneApp 8.1

  • Xamarin.iOS 1.0

    • No dependencies.

  • Xamarin.Mac 2.0

    • No dependencies.

  • Xamarin.TVOS 1.0

    • No dependencies.

  • Xamarin.WatchOS 1.0

    • No dependencies.

GitHub repositories (25)

Showing the top 20 popular GitHub repositories that depend on System.Numerics.Tensors:

Repository Stars
microsoft/semantic-kernel
Integrate cutting-edge LLM technology quickly and easily into your apps
dotnet/machinelearning
ML.NET is an open source and cross-platform machine learning framework for .NET.
ravendb/ravendb
ACID Document Database
SciSharp/LLamaSharp
A C#/.NET library to run LLM (🦙LLaMA/LLaVA) on your local device efficiently.
dotnet/extensions
This repository contains a suite of libraries that provide facilities commonly needed when creating production-ready applications.
microsoft/kernel-memory
RAG architecture: index and query any data using LLM and natural language, track sources, show citations, asynchronous memory patterns.
ppy/osu-framework
A game framework written with osu! in mind.
dotnet/TorchSharp
A .NET library that provides access to the library that powers PyTorch.
microsoft/ai-dev-gallery
An open-source project for Windows developers to learn how to add AI with local models and APIs to Windows apps.
tonybaloney/CSnakes
Embed Python in .NET
dotnet/smartcomponents
Sample intelligent app features provided as reusable .NET components
DevExpress/Blazor
DevExpress UI for Blazor
allisterb/jemalloc.NET
A native memory manager for .NET
microsoft/onnxruntime-training-examples
Examples for using ONNX Runtime for model training.
JasonBock/Rocks
A mocking library based on the Compiler APIs (Roslyn + Mocks)
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 E
TensorStack-AI/OnnxStack
C# Stable Diffusion using ONNX Runtime
microsoft/typechat.net
Amine-Smahi/C-Sharp-Learning-Journey
Some of the projects i made when starting to learn c#, winfroms and wpf
dje-dev/Ceres
Ceres - an MCTS chess engine for research and recreation
Version Downloads Last updated
0.2.0-preview.19073.11 1 1/28/2019
0.2.0-preview.18571.3 1 11/30/2018

https://go.microsoft.com/fwlink/?LinkID=799421