Numpy.Bare 3.6.1.1

There is a newer version of this package available.
See the version list below for details.
dotnet add package Numpy.Bare --version 3.6.1.1                
NuGet\Install-Package Numpy.Bare -Version 3.6.1.1                
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="3.6.1.1" />                
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Numpy.Bare --version 3.6.1.1                
#r "nuget: Numpy.Bare, 3.6.1.1"                
#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=3.6.1.1

// Install Numpy.Bare as a Cake Tool
#tool nuget:?package=Numpy.Bare&version=3.6.1.1                

Note: requires Python 3.6

Product 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. 
.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. 
Compatible target framework(s)
Included target framework(s) (in package)
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/Numpy.NET
C#/F# bindings for NumPy - a fundamental library for scientific computing, machine learning and AI
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/Torch.NET
.NET bindings for PyTorch. Machine Learning with C# / F# with Multi-GPU/CPU support
Version Downloads Last updated
3.11.1.33 2,862 4/22/2023
3.8.1.28 3,939 1/26/2022
3.8.1.27 514 12/8/2021
3.8.1.26 2,298 11/26/2021
3.8.1.25 20,389 11/12/2020
3.8.1.24 525 11/7/2020
3.8.1.23 613 10/1/2020
3.8.1.22 3,150 8/3/2020
3.7.1.28 578 1/26/2022
3.7.1.27 324 12/8/2021
3.7.1.26 2,224 11/26/2021
3.7.1.25 1,532 11/12/2020
3.7.1.24 492 11/7/2020
3.7.1.23 471 10/1/2020
3.7.1.22 2,209 8/3/2020
3.7.1.21 538 7/22/2020
3.7.1.20 504 7/15/2020
3.7.1.19 493 7/13/2020
3.7.1.18 503 7/8/2020
3.7.1.17 500 7/7/2020
3.7.1.16 682 6/18/2020
3.7.1.15 486 6/7/2020
3.7.1.14 728 4/21/2020
3.7.1.13 495 4/20/2020
3.7.1.12 594 3/30/2020
3.7.1.11 8,694 2/25/2020
3.7.1.10 3,142 10/11/2019
3.7.1.9 851 8/2/2019
3.7.1.6 2,293 7/8/2019
3.7.1.5 558 7/4/2019
3.7.1.4 788 6/30/2019
3.7.1.3 545 6/25/2019
3.7.1.2 537 6/23/2019
3.7.1.1 623 6/19/2019
3.6.1.28 498 1/26/2022
3.6.1.27 320 12/8/2021
3.6.1.26 2,239 11/26/2021
3.6.1.25 434 11/12/2020
3.6.1.24 494 11/7/2020
3.6.1.23 438 10/1/2020
3.6.1.22 533 8/3/2020
3.6.1.21 448 7/22/2020
3.6.1.20 482 7/15/2020
3.6.1.19 468 7/13/2020
3.6.1.18 442 7/8/2020
3.6.1.17 419 7/7/2020
3.6.1.16 531 6/18/2020
3.6.1.15 443 6/7/2020
3.6.1.14 452 4/21/2020
3.6.1.13 435 4/20/2020
3.6.1.12 510 3/30/2020
3.6.1.11 1,139 2/25/2020
3.6.1.10 1,898 10/11/2019
3.6.1.9 6,007 8/2/2019
3.6.1.6 891 7/8/2019
3.6.1.5 541 7/4/2019
3.6.1.4 636 6/30/2019
3.6.1.3 615 6/25/2019
3.6.1.1 1,782 6/19/2019
3.5.1.28 448 1/26/2022
3.5.1.27 308 12/8/2021
3.5.1.26 2,219 11/26/2021
3.5.1.25 386 11/12/2020
3.5.1.24 485 11/7/2020
3.5.1.23 404 10/1/2020
3.5.1.22 493 8/3/2020
3.5.1.21 442 7/22/2020
3.5.1.20 460 7/15/2020
3.5.1.19 481 7/13/2020
3.5.1.18 433 7/8/2020
3.5.1.17 465 7/7/2020
3.5.1.16 526 6/18/2020
3.5.1.15 535 6/7/2020
3.5.1.14 450 4/21/2020
3.5.1.13 435 4/20/2020
3.5.1.12 476 3/30/2020
3.5.1.11 753 2/25/2020
3.5.1.10 1,229 10/11/2019
3.5.1.9 1,352 8/2/2019
3.5.1.6 698 7/8/2019
3.5.1.5 524 7/4/2019
3.5.1.1 765 6/19/2019
2.7.1.28 468 1/26/2022
2.7.1.27 314 12/8/2021
2.7.1.26 2,227 11/26/2021
2.7.1.25 592 11/12/2020
2.7.1.24 486 11/7/2020
2.7.1.23 394 10/1/2020
2.7.1.22 599 8/3/2020
2.7.1.21 446 7/22/2020
2.7.1.20 454 7/15/2020
2.7.1.19 469 7/13/2020
2.7.1.18 441 7/8/2020
2.7.1.17 436 7/7/2020
2.7.1.16 558 6/18/2020
2.7.1.15 458 6/7/2020
2.7.1.14 473 4/21/2020
2.7.1.13 468 4/20/2020
2.7.1.12 491 3/30/2020
2.7.1.11 778 2/25/2020
2.7.1.10 1,169 10/11/2019
2.7.1.9 1,268 8/2/2019
2.7.1.6 684 7/8/2019
2.7.1.5 686 7/4/2019
1.1.0 1,068 6/16/2019
1.0.0 622 6/8/2019

Note: requires Python 3.6