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 1,351 1/26/2022
3.8.1.27 378 12/8/2021
3.8.1.26 2,194 11/26/2021
3.8.1.25 12,177 11/12/2020
3.8.1.24 413 11/7/2020
3.8.1.23 496 10/1/2020
3.8.1.22 2,649 8/3/2020
3.7.1.28 327 1/26/2022
3.7.1.27 201 12/8/2021
3.7.1.26 2,107 11/26/2021
3.7.1.25 1,234 11/12/2020
3.7.1.24 396 11/7/2020
3.7.1.23 361 10/1/2020
3.7.1.22 1,694 8/3/2020
3.7.1.21 410 7/22/2020
3.7.1.20 379 7/15/2020
3.7.1.19 376 7/13/2020
3.7.1.18 380 7/8/2020
3.7.1.17 372 7/7/2020
3.7.1.16 570 6/18/2020
3.7.1.15 389 6/7/2020
3.7.1.14 606 4/21/2020
3.7.1.13 354 4/20/2020
3.7.1.12 499 3/30/2020
3.7.1.11 8,153 2/25/2020
3.7.1.10 2,905 10/11/2019
3.7.1.9 743 8/2/2019
3.7.1.6 1,602 7/8/2019
3.7.1.5 441 7/4/2019
3.7.1.4 638 6/30/2019
3.7.1.3 431 6/25/2019
3.7.1.2 434 6/23/2019
3.7.1.1 505 6/19/2019
3.6.1.28 283 1/26/2022
3.6.1.27 204 12/8/2021
3.6.1.26 2,123 11/26/2021
3.6.1.25 331 11/12/2020
3.6.1.24 383 11/7/2020
3.6.1.23 328 10/1/2020
3.6.1.22 425 8/3/2020
3.6.1.21 344 7/22/2020
3.6.1.20 379 7/15/2020
3.6.1.19 354 7/13/2020
3.6.1.18 332 7/8/2020
3.6.1.17 321 7/7/2020
3.6.1.16 425 6/18/2020
3.6.1.15 330 6/7/2020
3.6.1.14 367 4/21/2020
3.6.1.13 344 4/20/2020
3.6.1.12 396 3/30/2020
3.6.1.11 880 2/25/2020
3.6.1.10 1,553 10/11/2019
3.6.1.9 5,379 8/2/2019
3.6.1.6 727 7/8/2019
3.6.1.5 429 7/4/2019
3.6.1.4 523 6/30/2019
3.6.1.3 483 6/25/2019
3.6.1.1 1,438 6/19/2019
3.5.1.28 255 1/26/2022
3.5.1.27 197 12/8/2021
3.5.1.26 2,093 11/26/2021
3.5.1.25 273 11/12/2020
3.5.1.24 379 11/7/2020
3.5.1.23 302 10/1/2020
3.5.1.22 377 8/3/2020
3.5.1.21 337 7/22/2020
3.5.1.20 344 7/15/2020
3.5.1.19 369 7/13/2020
3.5.1.18 333 7/8/2020
3.5.1.17 348 7/7/2020
3.5.1.16 409 6/18/2020
3.5.1.15 419 6/7/2020
3.5.1.14 338 4/21/2020
3.5.1.13 325 4/20/2020
3.5.1.12 370 3/30/2020
3.5.1.11 563 2/25/2020
3.5.1.10 934 10/11/2019
3.5.1.9 1,034 8/2/2019
3.5.1.6 535 7/8/2019
3.5.1.5 424 7/4/2019
3.5.1.1 580 6/19/2019
2.7.1.28 255 1/26/2022
2.7.1.27 193 12/8/2021
2.7.1.26 2,109 11/26/2021
2.7.1.25 403 11/12/2020
2.7.1.24 374 11/7/2020
2.7.1.23 294 10/1/2020
2.7.1.22 447 8/3/2020
2.7.1.21 341 7/22/2020
2.7.1.20 349 7/15/2020
2.7.1.19 358 7/13/2020
2.7.1.18 332 7/8/2020
2.7.1.17 329 7/7/2020
2.7.1.16 426 6/18/2020
2.7.1.15 333 6/7/2020
2.7.1.14 349 4/21/2020
2.7.1.13 348 4/20/2020
2.7.1.12 373 3/30/2020
2.7.1.11 567 2/25/2020
2.7.1.10 871 10/11/2019
2.7.1.9 954 8/2/2019
2.7.1.6 536 7/8/2019
2.7.1.5 545 7/4/2019
1.1.0 815 6/16/2019
1.0.0 506 6/8/2019