NumSharp 0.20.2
See the version list below for details.
dotnet add package NumSharp --version 0.20.2
NuGet\Install-Package NumSharp -Version 0.20.2
<PackageReference Include="NumSharp" Version="0.20.2" />
<PackageVersion Include="NumSharp" Version="0.20.2" />
<PackageReference Include="NumSharp" />
paket add NumSharp --version 0.20.2
#r "nuget: NumSharp, 0.20.2"
#:package NumSharp@0.20.2
#addin nuget:?package=NumSharp&version=0.20.2
#tool nuget:?package=NumSharp&version=0.20.2
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 | Versions 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 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. |
-
.NETStandard 2.0
- System.Memory (>= 4.5.3)
- System.Runtime.CompilerServices.Unsafe (>= 4.5.2)
NuGet packages (23)
Showing the top 5 NuGet packages that depend on NumSharp:
| Package | Downloads |
|---|---|
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Microsoft.Quantum.Simulators
Classical simulators of quantum computers for the Q# programming language. |
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Microsoft.Quantum.Standard
Microsoft's Quantum standard libraries. |
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Bigtree.Algorithm
Machine Learning library in .NET Core. |
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Microsoft.Quantum.Standard.Visualization
Provides IQ# visualization support for Microsoft's Q# standard libraries. |
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KokoroSharp
**Requires an ONNX Runtime package to function. KokoroSharp is 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. |
GitHub repositories (10)
Showing the top 10 popular GitHub repositories that depend on NumSharp:
| Repository | Stars |
|---|---|
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stakira/OpenUtau
Open singing synthesis platform / Open source UTAU successor
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kendryte/nncase
Open deep learning compiler stack for Kendryte AI accelerators ✨
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SciSharp/SiaNet
An easy to use C# deep learning library with CUDA/OpenCL support
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microsoft/qsharp-runtime
Runtime components for Q#
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cassiebreviu/StableDiffusion
Inference Stable Diffusion with C# and 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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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.
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wisedev-code/MaIN.NET
NuGet package designed to make LLMs, RAG, and Agents first-class citizens in .NET
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SciSharp/Gym.NET
openai/gym's popular toolkit for developing and comparing reinforcement learning algorithms port to C#.
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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.
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| Version | Downloads | Last Updated |
|---|---|---|
| 0.30.0 | 2,079,913 | 2/14/2021 |
| 0.20.5 | 784,592 | 12/31/2019 |
| 0.20.4 | 348,068 | 10/5/2019 |
| 0.20.3 | 3,945 | 9/28/2019 |
| 0.20.2 | 2,726 | 9/11/2019 |
| 0.20.1 | 19,080 | 9/1/2019 |
| 0.20.0 | 4,485 | 8/20/2019 |
| 0.10.6 | 27,811 | 7/24/2019 |
| 0.10.5 | 3,148 | 7/22/2019 |
| 0.10.4 | 2,802 | 7/18/2019 |
| 0.10.3 | 13,031 | 6/15/2019 |
| 0.10.2 | 2,445 | 5/25/2019 |
| 0.10.1 | 4,013 | 5/11/2019 |
| 0.10.0 | 2,728 | 5/5/2019 |
| 0.9.0 | 3,826 | 4/15/2019 |
| 0.8.3 | 2,277 | 3/29/2019 |
| 0.8.2 | 3,102 | 3/25/2019 |
| 0.8.1 | 2,490 | 3/22/2019 |
| 0.8.0 | 2,566 | 3/12/2019 |
| 0.7.4 | 2,144 | 3/7/2019 |
| 0.7.3 | 566,387 | 2/20/2019 |
| 0.7.2 | 2,668 | 2/18/2019 |
| 0.7.1 | 2,693 | 2/12/2019 |
| 0.7.0 | 2,213 | 1/28/2019 |
| 0.6.6 | 2,692 | 1/26/2019 |
| 0.6.5 | 2,730 | 1/11/2019 |
| 0.6.4 | 2,709 | 1/7/2019 |
| 0.6.3 | 2,173 | 12/30/2018 |
| 0.6.2 | 6,481 | 12/27/2018 |
| 0.6.1 | 2,142 | 12/26/2018 |
| 0.6.0 | 2,290 | 12/21/2018 |
| 0.5.0 | 2,233 | 12/5/2018 |
| 0.4.0 | 2,199 | 11/21/2018 |
| 0.3.0 | 2,135 | 11/7/2018 |
| 0.2.0 | 4,456 | 10/29/2018 |
| 0.1.0 | 2,516 | 10/10/2018 |
Added np.clip, np.exp2, np.expm1, nd.flatten(), np.log2, np.log10, np.log1p, np.* constants (such as np.e or np.pi).
Optimization for all binary operators. General performance optimization. Fixed few unlikely bugs.