 |
VOOZH | about |
|
VOOZH | about |
dotnet add package NumpyDotNet --version 0.9.87.2
NuGet\Install-Package NumpyDotNet -Version 0.9.87.2
<PackageReference Include="NumpyDotNet" Version="0.9.87.2" />
<PackageVersion Include="NumpyDotNet" Version="0.9.87.2" />Directory.Packages.props
<PackageReference Include="NumpyDotNet" />Project file
paket add NumpyDotNet --version 0.9.87.2
#r "nuget: NumpyDotNet, 0.9.87.2"
#:package NumpyDotNet@0.9.87.2
#addin nuget:?package=NumpyDotNet&version=0.9.87.2Install as a Cake Addin
#tool nuget:?package=NumpyDotNet&version=0.9.87.2Install as a Cake Tool
This library provides a 100% pure .NET implementation of the NumPy API. Multi-threaded, fast and accurate.
| 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 was computed. |
| .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. |
| 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. |
Showing the top 5 NuGet packages that depend on NumpyDotNet:
| Package | Downloads |
|---|---|
|
RL.Env
RL.Env is an open source dotnet library for developing and comparing reinforcement learning algorithms by providing a standard API to communicate between learning algorithms and environments, as well a standard set of environments compliant with that API. |
|
|
PdfOcr
Pdf OCR library based on paddle OCR |
|
|
MxNet.Sharp
C# Binding for the Apache MxNet library. NDArray, Symbolic and Gluon Supported MxNet is a deep learning framework designed for both efficiency and flexibility. It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. At its core, MXNet contains a dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations on the fly. A graph optimization layer on top of that makes symbolic execution fast and memory efficient. MXNet is portable and lightweight, scaling effectively to multiple GPUs and multiple machines. MXNet is more than a deep learning project. It is a collection of blue prints and guidelines for building deep learning systems, and interesting insights of DL systems for hackers. |
|
|
StockSharp.Algo.Compilation
Compilation components. More info on web site https://stocksharp.com/store/ |
|
|
lafd4net
A port of light-anime-face-detector to .NET 5.0, which is based on LFFD, a Light and Fast Face Detector for Edge Devices |
Showing the top 2 popular GitHub repositories that depend on NumpyDotNet:
| Repository | Stars |
|---|---|
|
StockSharp/StockSharp
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
|
|
|
deepakkumar1984/MxNet.Sharp
.NET Standard bindings for Apache MxNet with Imperative, Symbolic and Gluon Interface for developing, training and deploying Machine Learning models in C#. https://mxnet.tech-quantum.com/
|
| Version | Downloads | Last Updated |
|---|---|---|
| 0.9.87.2 | 17,935 | 5/14/2025 |
| 0.9.87.1 | 5,098 | 3/19/2025 |
| 0.9.87 | 480 | 3/16/2025 |
| 0.9.86.6 | 1,583 | 1/17/2025 |
| 0.9.86.5 | 297 | 1/14/2025 |
| 0.9.86.4 | 286 | 1/12/2025 |
| 0.9.86.3 | 278 | 1/11/2025 |
| 0.9.86.2 | 21,736 | 1/20/2024 |
| 0.9.86.1 | 2,437 | 10/11/2023 |
| 0.9.86 | 506 | 9/29/2023 |
| 0.9.85.1 | 9,778 | 5/15/2023 |
| 0.9.85 | 366 | 5/11/2023 |
| 0.9.84 | 1,023 | 4/9/2023 |
| 0.9.83.9 | 459 | 4/2/2023 |
| 0.9.83.8 | 448 | 4/2/2023 |
| 0.9.83.7 | 409 | 3/31/2023 |
| 0.9.83.6 | 95,375 | 12/28/2022 |
| 0.9.83.5 | 542 | 12/27/2022 |
| 0.9.83.4 | 518 | 12/27/2022 |
| 0.9.83.3 | 587 | 12/10/2022 |
properly close file handles in np.save and np.load.