Numpy.Bare 1.0.0

.NET Core 2.1 This package targets .NET Core 2.1. The package is compatible with this framework or higher.
There is a newer version of this package available.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. 
<PackageVersion Include="Numpy.Bare" Version="1.0.0" />
                    


                            Directory.Packages.props
                        

                    

                
<PackageReference Include="Numpy.Bare" />
                    


                            Project file
For projects that support Central Package Management (CPM), copy this XML node into the solution Directory.Packages.props file to version 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. 
#:package Numpy.Bare@1.0.0
#:package directive can be used in C# file-based apps starting in .NET 10 preview 4. Copy this into a .cs file before any lines of code to reference the package. 
#addin nuget:?package=Numpy.Bare&version=1.0.0
                    


                            Install as a Cake Addin
                        

                    

                
#tool nuget:?package=Numpy.Bare&version=1.0.0
                    


                            Install as a Cake Tool

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 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.  net9.0 was computed.  net9.0-android was computed.  net9.0-browser was computed.  net9.0-ios was computed.  net9.0-maccatalyst was computed.  net9.0-macos was computed.  net9.0-tvos was computed.  net9.0-windows was computed.  net10.0 was computed.  net10.0-android was computed.  net10.0-browser was computed.  net10.0-ios was computed.  net10.0-maccatalyst was computed.  net10.0-macos was computed.  net10.0-tvos was computed.  net10.0-windows was computed. 
.NET Core netcoreapp2.1 is compatible.  netcoreapp2.2 was computed.  netcoreapp3.0 was computed.  netcoreapp3.1 was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages (3)

Showing the top 3 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.
ScikitLearn

C# bindings for Scikit-Learn

GitHub repositories (2)

Showing the top 2 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/Torch.NET
.NET bindings for PyTorch. Machine Learning with C# / F# with Multi-GPU/CPU support
Version Downloads Last Updated
3.11.1.33 6,129 4/22/2023
3.8.1.28 8,385 1/26/2022
3.8.1.27 609 12/8/2021
3.8.1.26 2,396 11/26/2021
3.8.1.25 26,831 11/12/2020
3.8.1.24 674 11/7/2020
3.8.1.23 727 10/1/2020
3.8.1.22 3,426 8/3/2020
3.7.1.28 698 1/26/2022
3.7.1.27 420 12/8/2021
3.7.1.26 2,314 11/26/2021
3.7.1.25 1,685 11/12/2020
3.7.1.24 596 11/7/2020
3.7.1.23 579 10/1/2020
3.7.1.22 2,507 8/3/2020
3.7.1.21 646 7/22/2020
3.7.1.20 616 7/15/2020
3.7.1.19 603 7/13/2020
3.7.1.18 613 7/8/2020
3.7.1.17 600 7/7/2020
3.7.1.16 796 6/18/2020
3.7.1.15 610 6/7/2020
3.7.1.14 836 4/21/2020
3.7.1.13 618 4/20/2020
3.7.1.12 717 3/30/2020
3.7.1.11 8,922 2/25/2020
3.7.1.10 3,304 10/11/2019
3.7.1.9 957 8/2/2019
3.7.1.6 3,103 7/8/2019
3.7.1.5 676 7/4/2019
3.7.1.4 926 6/30/2019
3.7.1.3 663 6/25/2019
3.7.1.2 651 6/23/2019
3.7.1.1 751 6/19/2019
3.6.1.28 593 1/26/2022
3.6.1.27 424 12/8/2021
3.6.1.26 2,336 11/26/2021
3.6.1.25 545 11/12/2020
3.6.1.24 608 11/7/2020
3.6.1.23 544 10/1/2020
3.6.1.22 621 8/3/2020
3.6.1.21 568 7/22/2020
3.6.1.20 590 7/15/2020
3.6.1.19 571 7/13/2020
3.6.1.18 554 7/8/2020
3.6.1.17 534 7/7/2020
3.6.1.16 638 6/18/2020
3.6.1.15 551 6/7/2020
3.6.1.14 567 4/21/2020
3.6.1.13 545 4/20/2020
3.6.1.12 623 3/30/2020
3.6.1.11 1,274 2/25/2020
3.6.1.10 2,080 10/11/2019
3.6.1.9 6,241 8/2/2019
3.6.1.6 1,035 7/8/2019
3.6.1.5 658 7/4/2019
3.6.1.4 756 6/30/2019
3.6.1.3 739 6/25/2019
3.6.1.1 1,966 6/19/2019
3.5.1.28 548 1/26/2022
3.5.1.27 397 12/8/2021
3.5.1.26 2,313 11/26/2021
3.5.1.25 495 11/12/2020
3.5.1.24 602 11/7/2020
3.5.1.23 514 10/1/2020
3.5.1.22 611 8/3/2020
3.5.1.21 551 7/22/2020
3.5.1.20 567 7/15/2020
3.5.1.19 591 7/13/2020
3.5.1.18 540 7/8/2020
3.5.1.17 579 7/7/2020
3.5.1.16 633 6/18/2020
3.5.1.15 644 6/7/2020
3.5.1.14 559 4/21/2020
3.5.1.13 554 4/20/2020
3.5.1.12 592 3/30/2020
3.5.1.11 890 2/25/2020
3.5.1.10 1,385 10/11/2019
3.5.1.9 1,535 8/2/2019
3.5.1.6 826 7/8/2019
3.5.1.5 639 7/4/2019
3.5.1.1 898 6/19/2019
2.7.1.28 561 1/26/2022
2.7.1.27 397 12/8/2021
2.7.1.26 2,316 11/26/2021
2.7.1.25 721 11/12/2020
2.7.1.24 605 11/7/2020
2.7.1.23 498 10/1/2020
2.7.1.22 708 8/3/2020
2.7.1.21 555 7/22/2020
2.7.1.20 557 7/15/2020
2.7.1.19 584 7/13/2020
2.7.1.18 544 7/8/2020
2.7.1.17 544 7/7/2020
2.7.1.16 658 6/18/2020
2.7.1.15 562 6/7/2020
2.7.1.14 587 4/21/2020
2.7.1.13 591 4/20/2020
2.7.1.12 614 3/30/2020
2.7.1.11 897 2/25/2020
2.7.1.10 1,333 10/11/2019
2.7.1.9 1,425 8/2/2019
2.7.1.6 808 7/8/2019
2.7.1.5 805 7/4/2019
1.1.0 1,249 6/16/2019
1.0.0 744 6/8/2019