Numpy.Bare 1.0.0

.NET Core 2.1
There is a newer version of this package available.
See the version list below for details. 
dotnet add package Numpy.Bare --version 1.0.0
NuGet\Install-Package Numpy.Bare -Version 1.0.0
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="Numpy.Bare" Version="1.0.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
paket add Numpy.Bare --version 1.0.0
#r "nuget: Numpy.Bare, 1.0.0"
#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. 
// Install Numpy.Bare as a Cake Addin
#addin nuget:?package=Numpy.Bare&version=1.0.0

// Install Numpy.Bare as a Cake Tool
#tool nuget:?package=Numpy.Bare&version=1.0.0

C# bindings for NumPy - a fundamental library for scientific computing, machine learning and AI. Does require Python 3.7 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 netcoreapp2.1 netcoreapp2.2 netcoreapp3.0 netcoreapp3.1
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 1,687 1/26/2022
3.8.1.27 387 12/8/2021
3.8.1.26 2,203 11/26/2021
3.8.1.25 13,172 11/12/2020
3.8.1.24 421 11/7/2020
3.8.1.23 506 10/1/2020
3.8.1.22 2,699 8/3/2020
3.7.1.28 399 1/26/2022
3.7.1.27 213 12/8/2021
3.7.1.26 2,117 11/26/2021
3.7.1.25 1,267 11/12/2020
3.7.1.24 405 11/7/2020
3.7.1.23 369 10/1/2020
3.7.1.22 1,754 8/3/2020
3.7.1.21 418 7/22/2020
3.7.1.20 388 7/15/2020
3.7.1.19 385 7/13/2020
3.7.1.18 387 7/8/2020
3.7.1.17 381 7/7/2020
3.7.1.16 577 6/18/2020
3.7.1.15 396 6/7/2020
3.7.1.14 614 4/21/2020
3.7.1.13 366 4/20/2020
3.7.1.12 509 3/30/2020
3.7.1.11 8,311 2/25/2020
3.7.1.10 2,929 10/11/2019
3.7.1.9 752 8/2/2019
3.7.1.6 1,676 7/8/2019
3.7.1.5 447 7/4/2019
3.7.1.4 652 6/30/2019
3.7.1.3 440 6/25/2019
3.7.1.2 440 6/23/2019
3.7.1.1 512 6/19/2019
3.6.1.28 344 1/26/2022
3.6.1.27 215 12/8/2021
3.6.1.26 2,134 11/26/2021
3.6.1.25 341 11/12/2020
3.6.1.24 391 11/7/2020
3.6.1.23 338 10/1/2020
3.6.1.22 432 8/3/2020
3.6.1.21 353 7/22/2020
3.6.1.20 388 7/15/2020
3.6.1.19 364 7/13/2020
3.6.1.18 339 7/8/2020
3.6.1.17 330 7/7/2020
3.6.1.16 434 6/18/2020
3.6.1.15 339 6/7/2020
3.6.1.14 375 4/21/2020
3.6.1.13 352 4/20/2020
3.6.1.12 407 3/30/2020
3.6.1.11 892 2/25/2020
3.6.1.10 1,570 10/11/2019
3.6.1.9 5,523 8/2/2019
3.6.1.6 735 7/8/2019
3.6.1.5 435 7/4/2019
3.6.1.4 529 6/30/2019
3.6.1.3 492 6/25/2019
3.6.1.1 1,447 6/19/2019
3.5.1.28 312 1/26/2022
3.5.1.27 207 12/8/2021
3.5.1.26 2,105 11/26/2021
3.5.1.25 282 11/12/2020
3.5.1.24 387 11/7/2020
3.5.1.23 312 10/1/2020
3.5.1.22 384 8/3/2020
3.5.1.21 344 7/22/2020
3.5.1.20 353 7/15/2020
3.5.1.19 378 7/13/2020
3.5.1.18 341 7/8/2020
3.5.1.17 355 7/7/2020
3.5.1.16 420 6/18/2020
3.5.1.15 428 6/7/2020
3.5.1.14 346 4/21/2020
3.5.1.13 334 4/20/2020
3.5.1.12 377 3/30/2020
3.5.1.11 572 2/25/2020
3.5.1.10 944 10/11/2019
3.5.1.9 1,043 8/2/2019
3.5.1.6 542 7/8/2019
3.5.1.5 429 7/4/2019
3.5.1.1 599 6/19/2019
2.7.1.28 313 1/26/2022
2.7.1.27 204 12/8/2021
2.7.1.26 2,118 11/26/2021
2.7.1.25 416 11/12/2020
2.7.1.24 383 11/7/2020
2.7.1.23 302 10/1/2020
2.7.1.22 455 8/3/2020
2.7.1.21 348 7/22/2020
2.7.1.20 358 7/15/2020
2.7.1.19 367 7/13/2020
2.7.1.18 339 7/8/2020
2.7.1.17 336 7/7/2020
2.7.1.16 435 6/18/2020
2.7.1.15 340 6/7/2020
2.7.1.14 357 4/21/2020
2.7.1.13 358 4/20/2020
2.7.1.12 381 3/30/2020
2.7.1.11 576 2/25/2020
2.7.1.10 880 10/11/2019
2.7.1.9 963 8/2/2019
2.7.1.6 543 7/8/2019
2.7.1.5 552 7/4/2019
1.1.0 830 6/16/2019
1.0.0 512 6/8/2019