NumSharp 0.30.0

.NET Standard 2.0 This package targets .NET Standard 2.0. The package is compatible with this framework or higher. 
dotnet add package NumSharp --version 0.30.0
                    


                    

                
NuGet\Install-Package NumSharp -Version 0.30.0
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="NumSharp" Version="0.30.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
<PackageVersion Include="NumSharp" Version="0.30.0" />
                    


                            Directory.Packages.props
                        

                    

                
<PackageReference Include="NumSharp" />
                    


                            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 NumSharp --version 0.30.0
                    


                    

                
#r "nuget: NumSharp, 0.30.0"
#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=NumSharp&version=0.30.0
                    


                            Install NumSharp as a Cake Addin
                        

                    

                
#tool nuget:?package=NumSharp&version=0.30.0
                    


                            Install NumSharp as a Cake Tool

NumSharp is the fundamental library for scientific computing with .NET providing a similar API to python's numpy scientific library. NumSharp has full N-D, broadcasting and axis support.  If you want to use .NET to get started with machine learning, NumSharp will be your best tool.

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. 
.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 (25)

Showing the top 5 NuGet packages that depend on NumSharp:

Package Downloads
Microsoft.Quantum.Simulators

Classical simulators of quantum computers for the Q# programming language.
Microsoft.Quantum.Standard

Microsoft's Quantum standard libraries.
Bigtree.Algorithm

Machine Learning library in .NET Core.
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.
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.

GitHub repositories (10)

Showing the top 10 popular GitHub repositories that depend on NumSharp:

Repository Stars
stakira/OpenUtau
Open singing synthesis platform / Open source UTAU successor
SciSharp/NumSharp
High Performance Computation for N-D Tensors in .NET, similar API to NumPy.
microsoft/ai-dev-gallery
An open-source project for Windows developers to learn how to add AI with local models and APIs to Windows apps.
kendryte/nncase
Open deep learning compiler stack for Kendryte AI accelerators ✨
SciSharp/SiaNet
An easy to use C# deep learning library with CUDA/OpenCL support
microsoft/qsharp-runtime
Runtime components for Q#
cassiebreviu/StableDiffusion
Inference Stable Diffusion with C# and ONNX Runtime
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.
SciSharp/Gym.NET
openai/gym's popular toolkit for developing and comparing reinforcement learning algorithms port to C#.
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.
Version Downloads Last updated
0.30.0 1,089,821 2/14/2021
0.20.5 730,866 12/31/2019
0.20.4 339,356 10/5/2019
0.20.3 3,619 9/28/2019
0.20.2 2,493 9/11/2019
0.20.1 18,518 9/1/2019
0.20.0 3,874 8/20/2019
0.10.6 27,120 7/24/2019
0.10.5 2,822 7/22/2019
0.10.4 2,546 7/18/2019
0.10.3 12,655 6/15/2019
0.10.2 2,205 5/25/2019
0.10.1 3,748 5/11/2019
0.10.0 2,480 5/5/2019
0.9.0 3,552 4/15/2019
0.8.3 2,084 3/29/2019
0.8.2 2,818 3/25/2019
0.8.1 2,237 3/22/2019
0.8.0 2,362 3/12/2019
0.7.4 1,926 3/7/2019
0.7.3 558,490 2/20/2019
0.7.2 2,417 2/18/2019
0.7.1 2,452 2/12/2019
0.7.0 2,001 1/28/2019
0.6.6 2,446 1/26/2019
0.6.5 2,438 1/11/2019
0.6.4 2,442 1/7/2019
0.6.3 1,963 12/30/2018
0.6.2 6,007 12/27/2018
0.6.1 1,957 12/26/2018
0.6.0 2,045 12/21/2018
0.5.0 1,998 12/5/2018
0.4.0 1,954 11/21/2018
0.3.0 1,929 11/7/2018
0.2.0 4,063 10/29/2018
0.1.0 2,258 10/10/2018