Microsoft.ML.OnnxRuntime.Gpu
1.17.0-dev-20231221-0523-78c0c55b84
Prefix Reserved
This is a prerelease version of Microsoft.ML.OnnxRuntime.Gpu.
There is a newer version of this package available.
See the version list below for details.
See the version list below for details.
dotnet add package Microsoft.ML.OnnxRuntime.Gpu --version 1.17.0-dev-20231221-0523-78c0c55b84
NuGet\Install-Package Microsoft.ML.OnnxRuntime.Gpu -Version 1.17.0-dev-20231221-0523-78c0c55b84
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.Gpu" Version="1.17.0-dev-20231221-0523-78c0c55b84" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
<PackageVersion Include="Microsoft.ML.OnnxRuntime.Gpu" Version="1.17.0-dev-20231221-0523-78c0c55b84" />
<PackageReference Include="Microsoft.ML.OnnxRuntime.Gpu" />
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 Microsoft.ML.OnnxRuntime.Gpu --version 1.17.0-dev-20231221-0523-78c0c55b84
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
#r "nuget: Microsoft.ML.OnnxRuntime.Gpu, 1.17.0-dev-20231221-0523-78c0c55b84"
#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=Microsoft.ML.OnnxRuntime.Gpu&version=1.17.0-dev-20231221-0523-78c0c55b84&prerelease
#tool nuget:?package=Microsoft.ML.OnnxRuntime.Gpu&version=1.17.0-dev-20231221-0523-78c0c55b84&prerelease
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
This package contains native shared library artifacts for all supported platforms of ONNX Runtime.
There are no supported framework assets in this package.
Learn more about Target Frameworks and .NET Standard.
-
.NETCoreApp 0.0
- Microsoft.ML.OnnxRuntime.Gpu.Linux (>= 1.17.0-dev-20231221-0523-78c0c55b84)
- Microsoft.ML.OnnxRuntime.Gpu.Windows (>= 1.17.0-dev-20231221-0523-78c0c55b84)
- Microsoft.ML.OnnxRuntime.Managed (>= 1.17.0-dev-20231221-0523-78c0c55b84)
-
.NETFramework 0.0
- Microsoft.ML.OnnxRuntime.Gpu.Linux (>= 1.17.0-dev-20231221-0523-78c0c55b84)
- Microsoft.ML.OnnxRuntime.Gpu.Windows (>= 1.17.0-dev-20231221-0523-78c0c55b84)
- Microsoft.ML.OnnxRuntime.Managed (>= 1.17.0-dev-20231221-0523-78c0c55b84)
-
.NETStandard 0.0
- Microsoft.ML.OnnxRuntime.Gpu.Linux (>= 1.17.0-dev-20231221-0523-78c0c55b84)
- Microsoft.ML.OnnxRuntime.Gpu.Windows (>= 1.17.0-dev-20231221-0523-78c0c55b84)
- Microsoft.ML.OnnxRuntime.Managed (>= 1.17.0-dev-20231221-0523-78c0c55b84)
GitHub repositories (11)
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CodeProject.AI Server is a self contained service that software developers can include in, and distribute with, their applications in order to augment their apps with the power of AI.
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microsoft/psi
Platform for Situated Intelligence
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NickSwardh/YoloDotNet
YoloDotNet - A C# .NET 8.0 project for Classification, Object Detection, OBB Detection, Segmentation and Pose Estimation in both images and videos.
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dme-compunet/YoloSharp
🚀 Use YOLO11 in real-time for object detection tasks, with edge performance ⚡️ powered by ONNX-Runtime.
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sstainba/Yolov8.Net
A .net 6 implementation to use Yolov5 and Yolov8 models via the ONNX Runtime
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cassiebreviu/StableDiffusion
Inference Stable Diffusion with C# and ONNX Runtime
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FaceONNX/FaceONNX
Face recognition and analytics library based on deep neural networks and ONNX runtime
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TensorStack-AI/OnnxStack
C# Stable Diffusion using ONNX Runtime
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microsoft/Microsoft-Rocket-Video-Analytics-Platform
A highly extensible software stack to empower everyone to build practical real-world live video analytics applications for object detection and counting with cutting edge machine learning algorithms.
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Particle1904/DatasetHelpers
Dataset Helper program to automatically select, re scale and tag Datasets (composed of image and text) for Machine Learning training.
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dje-dev/Ceres
Ceres - an MCTS chess engine for research and recreation
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Release Def:
Branch: refs/heads/zhanyi/nugetpackage
Commit: 78c0c55b842664bd4e8bbe8c390181af1a89f740
Build: https://aiinfra.visualstudio.com/Lotus/_build/results?buildId=392300