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⇱ NuGet Gallery | Microsoft.ML.OnnxRuntime.DirectML 1.24.4




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Microsoft.ML.OnnxRuntime.DirectML 1.24.4

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dotnet add package Microsoft.ML.OnnxRuntime.DirectML --version 1.24.4
 
 
NuGet\Install-Package Microsoft.ML.OnnxRuntime.DirectML -Version 1.24.4
 
 
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.DirectML" Version="1.24.4" />
 
 
For projects that support PackageReference, copy this XML node into the project file to reference the package.
<PackageVersion Include="Microsoft.ML.OnnxRuntime.DirectML" Version="1.24.4" />
 
Directory.Packages.props
<PackageReference Include="Microsoft.ML.OnnxRuntime.DirectML" />
 
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 Microsoft.ML.OnnxRuntime.DirectML --version 1.24.4
 
 
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
#r "nuget: Microsoft.ML.OnnxRuntime.DirectML, 1.24.4"
 
 
#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.
#:package Microsoft.ML.OnnxRuntime.DirectML@1.24.4
 
 
#:package directive can be used in C# file-based apps starting in .NET 10 preview 4. Copy this into a .cs file before any lines of code to reference the package.
#addin nuget:?package=Microsoft.ML.OnnxRuntime.DirectML&version=1.24.4
 
Install as a Cake Addin
#tool nuget:?package=Microsoft.ML.OnnxRuntime.DirectML&version=1.24.4
 
Install as a Cake Tool
The NuGet Team does not provide support for this client. Please contact its maintainers for support.

About

👁 ONNX Runtime Logo

ONNX Runtime is a cross-platform machine-learning inferencing accelerator.

ONNX Runtime can enable faster customer experiences and lower costs, supporting models from deep learning frameworks such as PyTorch and TensorFlow/Keras as well as classical machine learning libraries such as scikit-learn, LightGBM, XGBoost, etc. ONNX Runtime is compatible with different hardware, drivers, and operating systems, and provides optimal performance by leveraging hardware accelerators where applicable alongside graph optimizations and transforms.

Learn more → here

NuGet Packages

ONNX Runtime Native packages

Microsoft.ML.OnnxRuntime
Microsoft.ML.OnnxRuntime.Gpu
Microsoft.ML.OnnxRuntime.DirectML
Microsoft.ML.OnnxRuntime.QNN
Intel.ML.OnnxRuntime.OpenVino

Other packages

Microsoft.ML.OnnxRuntime.Managed
  • C# language bindings
Microsoft.ML.OnnxRuntime.Extensions
Product Versions Compatible and additional computed target framework versions.
.NET net5.0 net5.0 was computed.  net5.0-windows net5.0-windows was computed.  net6.0 net6.0 was computed.  net6.0-android net6.0-android was computed.  net6.0-ios net6.0-ios was computed.  net6.0-maccatalyst net6.0-maccatalyst was computed.  net6.0-macos net6.0-macos was computed.  net6.0-tvos net6.0-tvos was computed.  net6.0-windows net6.0-windows was computed.  net7.0 net7.0 was computed.  net7.0-android net7.0-android was computed.  net7.0-ios net7.0-ios was computed.  net7.0-maccatalyst net7.0-maccatalyst was computed.  net7.0-macos net7.0-macos was computed.  net7.0-tvos net7.0-tvos was computed.  net7.0-windows net7.0-windows was computed.  net8.0 net8.0 was computed.  net8.0-android net8.0-android was computed.  net8.0-browser net8.0-browser was computed.  net8.0-ios net8.0-ios was computed.  net8.0-maccatalyst net8.0-maccatalyst was computed.  net8.0-macos net8.0-macos was computed.  net8.0-tvos net8.0-tvos was computed.  net8.0-windows net8.0-windows was computed.  net9.0 net9.0 was computed.  net9.0-android net9.0-android was computed.  net9.0-browser net9.0-browser was computed.  net9.0-ios net9.0-ios was computed.  net9.0-maccatalyst net9.0-maccatalyst was computed.  net9.0-macos net9.0-macos was computed.  net9.0-tvos net9.0-tvos was computed.  net9.0-windows net9.0-windows was computed.  net10.0 net10.0 was computed.  net10.0-android net10.0-android was computed.  net10.0-browser net10.0-browser was computed.  net10.0-ios net10.0-ios was computed.  net10.0-maccatalyst net10.0-maccatalyst was computed.  net10.0-macos net10.0-macos was computed.  net10.0-tvos net10.0-tvos was computed.  net10.0-windows net10.0-windows was computed. 
.NET Core netcoreapp2.0 netcoreapp2.0 was computed.  netcoreapp2.1 netcoreapp2.1 was computed.  netcoreapp2.2 netcoreapp2.2 was computed.  netcoreapp3.0 netcoreapp3.0 was computed.  netcoreapp3.1 netcoreapp3.1 was computed. 
.NET Standard netstandard2.0 netstandard2.0 is compatible.  netstandard2.1 netstandard2.1 is compatible. 
.NET Framework net461 net461 was computed.  net462 net462 was computed.  net463 net463 was computed.  net47 net47 was computed.  net471 net471 was computed.  net472 net472 was computed.  net48 net48 was computed.  net481 net481 was computed. 
MonoAndroid monoandroid monoandroid was computed. 
MonoMac monomac monomac was computed. 
MonoTouch monotouch monotouch was computed. 
native native native is compatible. 
Tizen tizen40 tizen40 was computed.  tizen60 tizen60 was computed. 
Xamarin.iOS xamarinios xamarinios was computed. 
Xamarin.Mac xamarinmac xamarinmac was computed. 
Xamarin.TVOS xamarintvos xamarintvos was computed. 
Xamarin.WatchOS xamarinwatchos xamarinwatchos was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages (16)

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

Package Downloads
Microsoft.ML.OnnxRuntimeGenAI.DirectML

ONNX Runtime Generative AI Native Package

TensorStack.Providers.DML

DirectML GPU backend for ONNX tensor computation.

KokoroSharp.DirectML

The DirectML runtime for KokoroSharp: an inference engine for Kokoro TTS with ONNX runtime, enabling fast and flexible local text-to-speech (fp/quanted) purely via C#. It features segment streaming, voice mixing, linear job scheduling, and optional playback.

ElBruno.Text2Image.DirectML

DirectML GPU acceleration for ElBruno.Text2Image. Install this package instead of ElBruno.Text2Image to enable DirectML-based inference for Stable Diffusion image generation on AMD, Intel, and NVIDIA GPUs (Windows only).

VL.YoloDotNet

YoloDotNet for VL

GitHub repositories (13)

Showing the top 13 popular GitHub repositories that depend on Microsoft.ML.OnnxRuntime.DirectML:

Repository Stars
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 | 自动采集/挖矿/锄地 | 一条龙 | 全连音游 | 自动烹饪 - UI Automation Testing Tools For Genshin Impact
openutau/OpenUtau
Open singing synthesis platform / Open source UTAU successor
jayfunc/BetterLyrics
An elegant and deeply customizable lyrics visualizer & versatile music player, built with WinUI3/Win2D | 一款优雅且高度自定义的歌词可视化与全能音乐播放应用,基于 WinUI3/Win2D 构建
Babyhamsta/Aimmy
Universal Second Eye for Gamers with Impairments (Universal AI Aim Aligner (AI Aimbot) - ONNX/YOLOv8 - C#)
codeproject/CodeProject.AI-Server
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.
NickSwardh/YoloDotNet
YoloDotNet - A C# .NET 8.0 project for Classification, Object Detection, OBB Detection, Segmentation and Pose Estimation in both images and live video streams.
vocoder712/OpenUtauMobile
OpenUtau Mobile 是一个面向移动端的开源免费歌声合成软件; OpenUtau Mobile is a free and open-source singing voice synthesis software for mobile devices.
Lyrcaxis/KokoroSharp
Fast local TTS inference engine in C# with ONNX runtime. Multi-speaker, multi-platform and multilingual. Integrate on your .NET projects using a plug-and-play NuGet package, complete with all voices.
ThioJoe/Thio-Universal-Agent
Let AI control anything on your computer through GUI interaction. All in one Exe, no install required.
Project-Babble/Baballonia
Cross-platform, hardware-agnostic XR eye and face tracking
net2cn/Real-ESRGAN_GUI
Real-ESRGAN-based super resolution model inference GUI written in C#.
guojin-yan/DeploySharp
Deploying deep learning models on multiple platforms (OpenVINO/ONNX Runtime, etc.)
georg-jung/FaceAiSharp
State-of-the-art face detection and face recognition for .NET.
Version Downloads Last Updated
1.24.4 23,737 3/17/2026
1.24.3 2,507 3/5/2026
1.24.2 3,573 2/20/2026
1.24.1 2,409 2/18/2026
1.23.0 36,628 9/29/2025
1.22.1 35,045 7/1/2025
1.22.0 42,895 5/9/2025
1.21.1 2,537 4/21/2025
1.21.0 16,714 3/7/2025
1.20.1 134,499 11/21/2024
1.20.0 94,134 10/31/2024
1.19.2 222,661 9/3/2024
1.19.1 4,764 8/21/2024
1.19.0 2,700 8/15/2024
1.18.2 691 8/13/2024
1.18.1 143,531 6/27/2024
1.18.0 7,250 5/17/2024
1.17.3 11,166 4/10/2024
1.17.1 7,408 2/25/2024
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Release Def:
Branch: refs/heads/rel-1.24.4
Commit: 2d924974ef147392ced8409d36bd6d2e7fcc8a74
Build: https://aiinfra.visualstudio.com/Lotus/_build/results?buildId=1124829