SimpleSIMD 2.2.0
See the version list below for details.
dotnet add package SimpleSIMD --version 2.2.0
NuGet\Install-Package SimpleSIMD -Version 2.2.0
<PackageReference Include="SimpleSIMD" Version="2.2.0" />
paket add SimpleSIMD --version 2.2.0
#r "nuget: SimpleSIMD, 2.2.0"
// Install SimpleSIMD as a Cake Addin #addin nuget:?package=SimpleSIMD&version=2.2.0 // Install SimpleSIMD as a Cake Tool #tool nuget:?package=SimpleSIMD&version=2.2.0
Easy to use SIMD accelerated span and array methods
Product | Versions Compatible and additional computed target framework versions. |
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.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 | netcoreapp3.1 is compatible. |
-
.NETCoreApp 3.1
- No dependencies.
NuGet packages (6)
Showing the top 5 NuGet packages that depend on SimpleSIMD:
Package | Downloads |
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FaceAiSharp
FaceAiSharp allows you to work with face-related computer vision tasks easily. It currently provides face detection, face recognition, facial landmarks detection, and eye state detection functionalities. FaceAiSharp leverages publicly available pretrained ONNX models to deliver accurate and efficient results and offers a convenient way to integrate them into your .NET applications. Whether you need to find faces, recognize individuals, detect facial landmarks, or determine eye states, FaceAiSharp simplifies the process with its simple API. ONNXRuntime is used for model inference, enabling hardware acceleration were possible. All processing is done locally, with no reliance on cloud services. This package contains just FaceAiSharp's managed code and does not include any ONNX models. Take a look at FaceAiSharp.Bundle for a batteries-included package with everything you need to get started. |
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FaceAiSharp.Bundle
FaceAiSharp allows you to work with face-related computer vision tasks easily. It currently provides face detection, face recognition, facial landmarks detection, and eye state detection functionalities. FaceAiSharp leverages publicly available pretrained ONNX models to deliver accurate and efficient results and offers a convenient way to integrate them into your .NET applications. Whether you need to find faces, recognize individuals, detect facial landmarks, or determine eye states, FaceAiSharp simplifies the process with its simple API. ONNXRuntime is used for model inference, enabling hardware acceleration were possible. All processing is done locally, with no reliance on cloud services. This is a bundle package that installs FaceAiSharp's managed code and multiple AI models in the ONNX format. |
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STensor
SIMD-accelerated generic tensor library |
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PlatonAiPhoto
FaceAiSharp allows you to work with face-related computer vision tasks easily. It currently provides face detection, face recognition, facial landmarks detection, and eye state detection functionalities. FaceAiSharp leverages publicly available pretrained ONNX models to deliver accurate and efficient results and offers a convenient way to integrate them into your .NET applications. Whether you need to find faces, recognize individuals, detect facial landmarks, or determine eye states, FaceAiSharp simplifies the process with its simple API. ONNXRuntime is used for model inference, enabling hardware acceleration were possible. All processing is done locally, with no reliance on cloud services. This package contains just FaceAiSharp's managed code and does not include any ONNX models. Take a look at FaceAiSharp.Bundle for a batteries-included package with everything you need to get started. |
|
PlatonAiPhoto.Bundle
FaceAiSharp allows you to work with face-related computer vision tasks easily. It currently provides face detection, face recognition, facial landmarks detection, and eye state detection functionalities. FaceAiSharp leverages publicly available pretrained ONNX models to deliver accurate and efficient results and offers a convenient way to integrate them into your .NET applications. Whether you need to find faces, recognize individuals, detect facial landmarks, or determine eye states, FaceAiSharp simplifies the process with its simple API. ONNXRuntime is used for model inference, enabling hardware acceleration were possible. All processing is done locally, with no reliance on cloud services. This is a bundle package that installs FaceAiSharp's managed code and multiple AI models in the ONNX format. |
GitHub repositories
This package is not used by any popular GitHub repositories.
Version | Downloads | Last updated | |
---|---|---|---|
4.6.0 | 1,156 | 11/20/2022 | |
4.2.0-alpha | 177 | 8/17/2021 | |
3.3.1 | 222,552 | 6/6/2022 | |
3.3.0 | 804 | 8/31/2021 | |
3.1.0 | 402 | 4/20/2021 | |
2.5.1 | 356 | 1/25/2021 | |
2.4.3 | 454 | 10/6/2020 | |
2.4.2 | 396 | 10/6/2020 | |
2.4.1-beta | 289 | 10/6/2020 | |
2.4.0-beta | 279 | 10/6/2020 | |
2.3.1 | 433 | 10/4/2020 | |
2.3.0 | 400 | 9/28/2020 | |
2.2.0 | 402 | 9/24/2020 | |
2.1.1 | 418 | 9/21/2020 | |
2.0.1 | 416 | 9/18/2020 | |
2.0.0 | 465 | 9/17/2020 | |
1.9.0 | 385 | 9/17/2020 | |
1.8.0 | 452 | 9/16/2020 | |
1.7.0 | 719 | 9/13/2020 | |
1.6.5 | 560 | 9/12/2020 | |
1.6.3 | 894 | 9/8/2020 | |
1.6.2 | 584 | 9/7/2020 | |
1.5.0 | 706 | 9/5/2020 | |
1.2.0 | 593 | 9/5/2020 | |
1.1.0 | 587 | 9/3/2020 | |
1.0.0 | 616 | 9/1/2020 |
Performance improvments when simd not supported