Microsoft.ML.OnnxRuntime 1.11.0-dev-20220126-0359-4af116649

Prefix Reserved
This is a prerelease version of Microsoft.ML.OnnxRuntime.
There is a newer version of this package available.
See the version list below for details.
dotnet add package Microsoft.ML.OnnxRuntime --version 1.11.0-dev-20220126-0359-4af116649                
NuGet\Install-Package Microsoft.ML.OnnxRuntime -Version 1.11.0-dev-20220126-0359-4af116649                
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="Microsoft.ML.OnnxRuntime" Version="1.11.0-dev-20220126-0359-4af116649" />                
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Microsoft.ML.OnnxRuntime --version 1.11.0-dev-20220126-0359-4af116649                
#r "nuget: Microsoft.ML.OnnxRuntime, 1.11.0-dev-20220126-0359-4af116649"                
#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.
// Install Microsoft.ML.OnnxRuntime as a Cake Addin
#addin nuget:?package=Microsoft.ML.OnnxRuntime&version=1.11.0-dev-20220126-0359-4af116649&prerelease

// Install Microsoft.ML.OnnxRuntime as a Cake Tool
#tool nuget:?package=Microsoft.ML.OnnxRuntime&version=1.11.0-dev-20220126-0359-4af116649&prerelease                

This package contains native shared library artifacts for all supported platforms of ONNX Runtime.

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. 
.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 is compatible.  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.  monoandroid11.0 is compatible. 
MonoMac monomac was computed. 
MonoTouch monotouch was computed. 
native native is compatible. 
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.  xamarinios10 is compatible. 
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.

GitHub repositories (18)

Showing the top 5 popular GitHub repositories that depend on Microsoft.ML.OnnxRuntime:

Repository Stars
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ML.NET is an open source and cross-platform machine learning framework for .NET.
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Damselfly is a server-based Photograph Management app. The goal of Damselfly is to index an extremely large collection of images, and allow easy search and retrieval of those images, using metadata such as the IPTC keyword tags, as well as the folder and file names. Damselfly includes support for object/face detection.
Version Downloads Last updated
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1.10.0-dev-20211115-0258-6e... 3 11/23/2021

Release Def:
Branch: refs/heads/master
Commit: 4af116649c8f5f6e725ce8b314b7f8e38007f236
Build: https://aiinfra.visualstudio.com/Lotus/_build/results?buildId=191391