Microsoft.ML.OnnxRuntime.DirectML 1.22.0-dev-20250326-1104-513e8de144

Prefix Reserved
.NET Standard 2.0 This package targets .NET Standard 2.0. The package is compatible with this framework or higher.
This is a prerelease version of Microsoft.ML.OnnxRuntime.DirectML.
There is a newer prerelease version of this package available.
See the version list below for details. 
dotnet add package Microsoft.ML.OnnxRuntime.DirectML --version 1.22.0-dev-20250326-1104-513e8de144
                    


                    

                
NuGet\Install-Package Microsoft.ML.OnnxRuntime.DirectML -Version 1.22.0-dev-20250326-1104-513e8de144
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="1.22.0-dev-20250326-1104-513e8de144" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
<PackageVersion Include="Microsoft.ML.OnnxRuntime.DirectML" Version="1.22.0-dev-20250326-1104-513e8de144" />
                    


                            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 1.22.0-dev-20250326-1104-513e8de144
                    


                    

                
#r "nuget: Microsoft.ML.OnnxRuntime.DirectML, 1.22.0-dev-20250326-1104-513e8de144"
#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@1.22.0-dev-20250326-1104-513e8de144
#: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=1.22.0-dev-20250326-1104-513e8de144&prerelease
                    


                            Install as a Cake Addin
                        

                    

                
#tool nuget:?package=Microsoft.ML.OnnxRuntime.DirectML&version=1.22.0-dev-20250326-1104-513e8de144&prerelease
                    


                            Install as a Cake Tool

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 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.  net10.0 was computed.  net10.0-android was computed.  net10.0-browser was computed.  net10.0-ios was computed.  net10.0-maccatalyst was computed.  net10.0-macos was computed.  net10.0-tvos was computed.  net10.0-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 is compatible. 
.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. 
native native is compatible. 
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.

GitHub repositories (9)

Showing the top 9 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 - UI Automation Testing Tools For Genshin Impact
stakira/OpenUtau
Open singing synthesis platform / Open source UTAU successor
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.
TensorStack-AI/OnnxStack
C# Stable Diffusion using ONNX Runtime
Particle1904/DatasetHelpers
Dataset Helper program to automatically select, re scale and tag Datasets (composed of image and text) for Machine Learning training.
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.
net2cn/Real-ESRGAN_GUI
Real-ESRGAN-based super resolution model inference GUI written in C#.
georg-jung/FaceAiSharp
State-of-the-art face detection and face recognition for .NET.

Release Def:
Branch: refs/heads/main
Commit: 513e8de14453a4cc3ec339aa3d5375ba0a2058d8
Build: https://aiinfra.visualstudio.com/Lotus/_build/results?buildId=730059