Microsoft.ML.OnnxRuntime.Managed 1.18.1

Prefix Reserved
dotnet add package Microsoft.ML.OnnxRuntime.Managed --version 1.18.1                
NuGet\Install-Package Microsoft.ML.OnnxRuntime.Managed -Version 1.18.1                
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.Managed" Version="1.18.1" />                
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Microsoft.ML.OnnxRuntime.Managed --version 1.18.1                
#r "nuget: Microsoft.ML.OnnxRuntime.Managed, 1.18.1"                
#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.Managed as a Cake Addin
#addin nuget:?package=Microsoft.ML.OnnxRuntime.Managed&version=1.18.1

// Install Microsoft.ML.OnnxRuntime.Managed as a Cake Tool
#tool nuget:?package=Microsoft.ML.OnnxRuntime.Managed&version=1.18.1                

This package contains ONNX Runtime for .Net platforms

Product Compatible and additional computed target framework versions.
.NET net5.0 was computed.  net5.0-windows was computed.  net6.0 is compatible.  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-android34.0 is compatible.  net8.0-browser was computed.  net8.0-ios was computed.  net8.0-ios17.2 is compatible.  net8.0-maccatalyst was computed.  net8.0-maccatalyst17.2 is compatible.  net8.0-macos was computed.  net8.0-tvos was computed.  net8.0-windows was computed. 
.NET Core netcoreapp2.0 was computed.  netcoreapp2.1 was computed.  netcoreapp2.2 was computed.  netcoreapp3.0 was computed.  netcoreapp3.1 was computed. 
.NET Standard netstandard2.0 is compatible.  netstandard2.1 was computed. 
.NET Framework 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 tizen40 was computed.  tizen60 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.

NuGet packages (50)

Showing the top 5 NuGet packages that depend on Microsoft.ML.OnnxRuntime.Managed:

Package Downloads
Microsoft.ML.OnnxRuntime

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

Microsoft.ML.OnnxRuntime.Gpu

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

Microsoft.ML.OnnxTransformer

ML.NET component for Microsoft.ML.OnnxRuntime.Managed library

Microsoft.ML.OnnxRuntime.MKLML

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

Microsoft.ML.OnnxRuntime.DirectML

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

GitHub repositories (14)

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

Repository Stars
dotnet/machinelearning
ML.NET is an open source and cross-platform machine learning framework for .NET.
babalae/better-genshin-impact
📦BetterGI · 更好的原神 - 自动拾取 | 自动剧情 | 全自动钓鱼(AI) | 全自动七圣召唤 | 自动伐木 | 自动刷本 - UI Automation Testing Tools For Genshin Impact
Webreaper/Damselfly
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.
wangfreexx/wangfreexx-tianruoocr-cl-paddle
天若ocr开源版本的本地版,采用Chinese-lite和paddleocr识别框架
rocksdanister/weather
Windows native weather app powered by DirectX12 animations
Version Downloads Last updated
1.18.1 5,051 6/27/2024
1.18.0 26,791 5/17/2024
1.17.3 28,647 4/10/2024
1.17.1 96,351 2/25/2024
1.17.0 60,143 1/31/2024
1.16.3 123,301 11/20/2023
1.16.2 12,773 11/9/2023
1.16.1 41,411 10/11/2023
1.16.0 49,396 9/19/2023
1.15.1 194,967 6/16/2023
1.15.0 28,444 5/24/2023
1.15.0-rc 1,142 5/17/2023
1.15.0-alpha 971 5/12/2023
1.14.1 102,706 2/27/2023
1.14.0 111,418 2/10/2023
1.13.1 138,889 10/24/2022
1.12.1 211,228 8/4/2022
1.12.0 9,923 7/22/2022
1.11.0 195,961 3/25/2022
1.10.0 238,115 12/7/2021
1.9.0 117,290 9/22/2021
1.8.1 94,152 7/7/2021
1.8.0 23,079 6/3/2021
1.7.1 50,913 3/4/2021
1.7.0 97,860 3/2/2021
1.6.0 280,815 12/10/2020
1.5.2 51,296 10/15/2020
1.5.1 14,241 9/29/2020
1.4.0 131,781 7/17/2020
1.3.0 95,233 5/18/2020
1.2.0 85,166 3/10/2020

Release Def:
       Branch: refs/heads/rel-1.18.1
       Commit: 387127404e6c1d84b3468c387d864877ed1c67fe
       Build: https://aiinfra.visualstudio.com/Lotus/_build/results?buildId=497357