Numpy.Bare 3.5.1.15

There is a newer version of this package available.
See the version list below for details.
dotnet add package Numpy.Bare --version 3.5.1.15
NuGet\Install-Package Numpy.Bare -Version 3.5.1.15
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="3.5.1.15" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Numpy.Bare --version 3.5.1.15
#r "nuget: Numpy.Bare, 3.5.1.15"
#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=3.5.1.15

// Install Numpy.Bare as a Cake Tool
#tool nuget:?package=Numpy.Bare&version=3.5.1.15

C# bindings for NumPy on Win64 - a fundamental library for scientific computing, machine learning and AI. Does require Python 3.5 with NumPy 1.16 installed!

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 2,449 4/22/2023
3.8.1.28 3,305 1/26/2022
3.8.1.27 511 12/8/2021
3.8.1.26 2,295 11/26/2021
3.8.1.25 19,468 11/12/2020
3.8.1.24 521 11/7/2020
3.8.1.23 604 10/1/2020
3.8.1.22 3,105 8/3/2020
3.7.1.28 572 1/26/2022
3.7.1.27 320 12/8/2021
3.7.1.26 2,221 11/26/2021
3.7.1.25 1,519 11/12/2020
3.7.1.24 484 11/7/2020
3.7.1.23 466 10/1/2020
3.7.1.22 2,168 8/3/2020
3.7.1.21 530 7/22/2020
3.7.1.20 499 7/15/2020
3.7.1.19 485 7/13/2020
3.7.1.18 491 7/8/2020
3.7.1.17 495 7/7/2020
3.7.1.16 675 6/18/2020
3.7.1.15 481 6/7/2020
3.7.1.14 724 4/21/2020
3.7.1.13 488 4/20/2020
3.7.1.12 589 3/30/2020
3.7.1.11 8,669 2/25/2020
3.7.1.10 3,131 10/11/2019
3.7.1.9 844 8/2/2019
3.7.1.6 2,233 7/8/2019
3.7.1.5 554 7/4/2019
3.7.1.4 782 6/30/2019
3.7.1.3 542 6/25/2019
3.7.1.2 534 6/23/2019
3.7.1.1 618 6/19/2019
3.6.1.28 495 1/26/2022
3.6.1.27 317 12/8/2021
3.6.1.26 2,236 11/26/2021
3.6.1.25 429 11/12/2020
3.6.1.24 490 11/7/2020
3.6.1.23 430 10/1/2020
3.6.1.22 528 8/3/2020
3.6.1.21 441 7/22/2020
3.6.1.20 477 7/15/2020
3.6.1.19 463 7/13/2020
3.6.1.18 437 7/8/2020
3.6.1.17 414 7/7/2020
3.6.1.16 526 6/18/2020
3.6.1.15 438 6/7/2020
3.6.1.14 449 4/21/2020
3.6.1.13 432 4/20/2020
3.6.1.12 506 3/30/2020
3.6.1.11 1,133 2/25/2020
3.6.1.10 1,889 10/11/2019
3.6.1.9 5,978 8/2/2019
3.6.1.6 885 7/8/2019
3.6.1.5 538 7/4/2019
3.6.1.4 633 6/30/2019
3.6.1.3 608 6/25/2019
3.6.1.1 1,772 6/19/2019
3.5.1.28 444 1/26/2022
3.5.1.27 305 12/8/2021
3.5.1.26 2,214 11/26/2021
3.5.1.25 380 11/12/2020
3.5.1.24 480 11/7/2020
3.5.1.23 396 10/1/2020
3.5.1.22 489 8/3/2020
3.5.1.21 437 7/22/2020
3.5.1.20 455 7/15/2020
3.5.1.19 476 7/13/2020
3.5.1.18 428 7/8/2020
3.5.1.17 459 7/7/2020
3.5.1.16 516 6/18/2020
3.5.1.15 528 6/7/2020
3.5.1.14 440 4/21/2020
3.5.1.13 431 4/20/2020
3.5.1.12 467 3/30/2020
3.5.1.11 748 2/25/2020
3.5.1.10 1,226 10/11/2019
3.5.1.9 1,349 8/2/2019
3.5.1.6 695 7/8/2019
3.5.1.5 521 7/4/2019
3.5.1.1 760 6/19/2019
2.7.1.28 462 1/26/2022
2.7.1.27 306 12/8/2021
2.7.1.26 2,219 11/26/2021
2.7.1.25 584 11/12/2020
2.7.1.24 482 11/7/2020
2.7.1.23 389 10/1/2020
2.7.1.22 595 8/3/2020
2.7.1.21 441 7/22/2020
2.7.1.20 446 7/15/2020
2.7.1.19 464 7/13/2020
2.7.1.18 435 7/8/2020
2.7.1.17 430 7/7/2020
2.7.1.16 552 6/18/2020
2.7.1.15 453 6/7/2020
2.7.1.14 467 4/21/2020
2.7.1.13 465 4/20/2020
2.7.1.12 488 3/30/2020
2.7.1.11 775 2/25/2020
2.7.1.10 1,163 10/11/2019
2.7.1.9 1,265 8/2/2019
2.7.1.6 681 7/8/2019
2.7.1.5 682 7/4/2019
1.1.0 1,062 6/16/2019
1.0.0 618 6/8/2019