Numpy.Bare 3.8.1.28

.NET Standard 2.0
dotnet add package Numpy.Bare --version 3.8.1.28
NuGet\Install-Package Numpy.Bare -Version 3.8.1.28
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="Numpy.Bare" Version="3.8.1.28" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Numpy.Bare --version 3.8.1.28
#r "nuget: Numpy.Bare, 3.8.1.28"
#r directive can be used in F# Interactive, C# scripting and .NET Interactive. Copy this into the interactive tool or source code of the script to reference the package.
// Install Numpy.Bare as a Cake Addin
#addin nuget:?package=Numpy.Bare&version=3.8.1.28

// Install Numpy.Bare as a Cake Tool
#tool nuget:?package=Numpy.Bare&version=3.8.1.28

C# bindings for NumPy on Win64 - a fundamental library for scientific computing, machine learning and AI. Does require Python 3.8 with NumPy 1.16 installed!

Product Versions
.NET net5.0 net5.0-windows net6.0 net6.0-android net6.0-ios net6.0-maccatalyst net6.0-macos net6.0-tvos net6.0-windows net7.0 net7.0-android net7.0-ios net7.0-maccatalyst net7.0-macos net7.0-tvos net7.0-windows
.NET Core netcoreapp2.0 netcoreapp2.1 netcoreapp2.2 netcoreapp3.0 netcoreapp3.1
.NET Standard netstandard2.0 netstandard2.1
.NET Framework net461 net462 net463 net47 net471 net472 net48 net481
MonoAndroid monoandroid
MonoMac monomac
MonoTouch monotouch
Tizen tizen40 tizen60
Xamarin.iOS xamarinios
Xamarin.Mac xamarinmac
Xamarin.TVOS xamarintvos
Xamarin.WatchOS xamarinwatchos
Compatible target framework(s)
Additional computed target framework(s)
Learn more about Target Frameworks and .NET Standard.

NuGet packages (2)

Showing the top 2 NuGet packages that depend on Numpy.Bare:

Package Downloads
Keras.NET

C# bindings for Keras on Win64 - Keras.NET is a high-level neural networks API, capable of running on top of TensorFlow, CNTK, or Theano.

Torch.NET

Torch.NET brings the awesome Python package PyTorch to the .NET world. PyTorch offers Tensor computations and more with efficient GPU or multi-core CPU processing support and is to be considered one of the fundamental libraries for scientific computing, machine learning and AI in Python. Torch.NET empowers .NET developers to leverage PyTorch's extensive functionality including computational graphs with with multi-dimensional arrays, back-propagation, neural network implementations and many more via a compatible strong-typed API.

GitHub repositories (3)

Showing the top 3 popular GitHub repositories that depend on Numpy.Bare:

Repository Stars
SciSharp/Keras.NET
Keras.NET is a high-level neural networks API for C# and F#, with Python Binding and capable of running on top of TensorFlow, CNTK, or Theano.
SciSharp/Numpy.NET
C#/F# bindings for NumPy - a fundamental library for scientific computing, machine learning and AI
SciSharp/Torch.NET
.NET bindings for PyTorch. Machine Learning with C# / F# with Multi-GPU/CPU support
Version Downloads Last updated
3.8.1.28 1,305 1/26/2022
3.8.1.27 375 12/8/2021
3.8.1.26 2,191 11/26/2021
3.8.1.25 12,093 11/12/2020
3.8.1.24 411 11/7/2020
3.8.1.23 494 10/1/2020
3.8.1.22 2,643 8/3/2020
3.7.1.28 317 1/26/2022
3.7.1.27 199 12/8/2021
3.7.1.26 2,105 11/26/2021
3.7.1.25 1,231 11/12/2020
3.7.1.24 394 11/7/2020
3.7.1.23 359 10/1/2020
3.7.1.22 1,686 8/3/2020
3.7.1.21 409 7/22/2020
3.7.1.20 377 7/15/2020
3.7.1.19 374 7/13/2020
3.7.1.18 378 7/8/2020
3.7.1.17 369 7/7/2020
3.7.1.16 568 6/18/2020
3.7.1.15 387 6/7/2020
3.7.1.14 604 4/21/2020
3.7.1.13 352 4/20/2020
3.7.1.12 497 3/30/2020
3.7.1.11 8,141 2/25/2020
3.7.1.10 2,903 10/11/2019
3.7.1.9 740 8/2/2019
3.7.1.6 1,597 7/8/2019
3.7.1.5 439 7/4/2019
3.7.1.4 636 6/30/2019
3.7.1.3 430 6/25/2019
3.7.1.2 432 6/23/2019
3.7.1.1 503 6/19/2019
3.6.1.28 275 1/26/2022
3.6.1.27 202 12/8/2021
3.6.1.26 2,119 11/26/2021
3.6.1.25 330 11/12/2020
3.6.1.24 381 11/7/2020
3.6.1.23 326 10/1/2020
3.6.1.22 424 8/3/2020
3.6.1.21 343 7/22/2020
3.6.1.20 377 7/15/2020
3.6.1.19 352 7/13/2020
3.6.1.18 329 7/8/2020
3.6.1.17 319 7/7/2020
3.6.1.16 424 6/18/2020
3.6.1.15 328 6/7/2020
3.6.1.14 365 4/21/2020
3.6.1.13 342 4/20/2020
3.6.1.12 394 3/30/2020
3.6.1.11 878 2/25/2020
3.6.1.10 1,547 10/11/2019
3.6.1.9 5,357 8/2/2019
3.6.1.6 726 7/8/2019
3.6.1.5 427 7/4/2019
3.6.1.4 521 6/30/2019
3.6.1.3 480 6/25/2019
3.6.1.1 1,437 6/19/2019
3.5.1.28 247 1/26/2022
3.5.1.27 194 12/8/2021
3.5.1.26 2,091 11/26/2021
3.5.1.25 272 11/12/2020
3.5.1.24 377 11/7/2020
3.5.1.23 301 10/1/2020
3.5.1.22 375 8/3/2020
3.5.1.21 336 7/22/2020
3.5.1.20 342 7/15/2020
3.5.1.19 368 7/13/2020
3.5.1.18 331 7/8/2020
3.5.1.17 346 7/7/2020
3.5.1.16 408 6/18/2020
3.5.1.15 418 6/7/2020
3.5.1.14 336 4/21/2020
3.5.1.13 323 4/20/2020
3.5.1.12 367 3/30/2020
3.5.1.11 561 2/25/2020
3.5.1.10 932 10/11/2019
3.5.1.9 1,032 8/2/2019
3.5.1.6 534 7/8/2019
3.5.1.5 422 7/4/2019
3.5.1.1 578 6/19/2019
2.7.1.28 247 1/26/2022
2.7.1.27 190 12/8/2021
2.7.1.26 2,105 11/26/2021
2.7.1.25 401 11/12/2020
2.7.1.24 372 11/7/2020
2.7.1.23 291 10/1/2020
2.7.1.22 446 8/3/2020
2.7.1.21 340 7/22/2020
2.7.1.20 346 7/15/2020
2.7.1.19 356 7/13/2020
2.7.1.18 330 7/8/2020
2.7.1.17 327 7/7/2020
2.7.1.16 424 6/18/2020
2.7.1.15 332 6/7/2020
2.7.1.14 347 4/21/2020
2.7.1.13 346 4/20/2020
2.7.1.12 371 3/30/2020
2.7.1.11 565 2/25/2020
2.7.1.10 869 10/11/2019
2.7.1.9 952 8/2/2019
2.7.1.6 535 7/8/2019
2.7.1.5 543 7/4/2019
1.1.0 813 6/16/2019
1.0.0 505 6/8/2019