Numpy.Bare
2.7.1.27
There is a newer version of this package available.
See the version list below for details.
See the version list below for details.
dotnet add package Numpy.Bare --version 2.7.1.27
NuGet\Install-Package Numpy.Bare -Version 2.7.1.27
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="2.7.1.27" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Numpy.Bare --version 2.7.1.27
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
#r "nuget: Numpy.Bare, 2.7.1.27"
#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=2.7.1.27 // Install Numpy.Bare as a Cake Tool #tool nuget:?package=Numpy.Bare&version=2.7.1.27
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
C# bindings for NumPy on Win64 - a fundamental library for scientific computing, machine learning and AI. Does require Python 2.7 with NumPy 1.16 installed!
| Product | Versions 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.
-
.NETStandard 2.0
- Microsoft.CSharp (>= 4.5.0)
- pythonnet_netstandard_py27_win (>= 2.5.1)
NuGet packages (2)
Showing the top 2 NuGet packages that depend on Numpy.Bare:
| Package | Downloads |
|---|---|
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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. |
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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
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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.
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SciSharp/Torch.NET
.NET bindings for PyTorch. Machine Learning with C# / F# with Multi-GPU/CPU support
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| Version | Downloads | Last updated |
|---|---|---|
| 3.11.1.33 | 3,746 | 4/22/2023 |
| 3.8.1.28 | 5,351 | 1/26/2022 |
| 3.8.1.27 | 541 | 12/8/2021 |
| 3.8.1.26 | 2,330 | 11/26/2021 |
| 3.8.1.25 | 22,171 | 11/12/2020 |
| 3.8.1.24 | 579 | 11/7/2020 |
| 3.8.1.23 | 646 | 10/1/2020 |
| 3.8.1.22 | 3,242 | 8/3/2020 |
| 3.7.1.28 | 609 | 1/26/2022 |
| 3.7.1.27 | 358 | 12/8/2021 |
| 3.7.1.26 | 2,249 | 11/26/2021 |
| 3.7.1.25 | 1,579 | 11/12/2020 |
| 3.7.1.24 | 520 | 11/7/2020 |
| 3.7.1.23 | 496 | 10/1/2020 |
| 3.7.1.22 | 2,302 | 8/3/2020 |
| 3.7.1.21 | 568 | 7/22/2020 |
| 3.7.1.20 | 533 | 7/15/2020 |
| 3.7.1.19 | 521 | 7/13/2020 |
| 3.7.1.18 | 532 | 7/8/2020 |
| 3.7.1.17 | 512 | 7/7/2020 |
| 3.7.1.16 | 709 | 6/18/2020 |
| 3.7.1.15 | 514 | 6/7/2020 |
| 3.7.1.14 | 742 | 4/21/2020 |
| 3.7.1.13 | 527 | 4/20/2020 |
| 3.7.1.12 | 621 | 3/30/2020 |
| 3.7.1.11 | 8,772 | 2/25/2020 |
| 3.7.1.10 | 3,190 | 10/11/2019 |
| 3.7.1.9 | 867 | 8/2/2019 |
| 3.7.1.6 | 2,420 | 7/8/2019 |
| 3.7.1.5 | 590 | 7/4/2019 |
| 3.7.1.4 | 827 | 6/30/2019 |
| 3.7.1.3 | 572 | 6/25/2019 |
| 3.7.1.2 | 561 | 6/23/2019 |
| 3.7.1.1 | 651 | 6/19/2019 |
| 3.6.1.28 | 524 | 1/26/2022 |
| 3.6.1.27 | 348 | 12/8/2021 |
| 3.6.1.26 | 2,266 | 11/26/2021 |
| 3.6.1.25 | 464 | 11/12/2020 |
| 3.6.1.24 | 520 | 11/7/2020 |
| 3.6.1.23 | 462 | 10/1/2020 |
| 3.6.1.22 | 544 | 8/3/2020 |
| 3.6.1.21 | 483 | 7/22/2020 |
| 3.6.1.20 | 510 | 7/15/2020 |
| 3.6.1.19 | 495 | 7/13/2020 |
| 3.6.1.18 | 470 | 7/8/2020 |
| 3.6.1.17 | 447 | 7/7/2020 |
| 3.6.1.16 | 561 | 6/18/2020 |
| 3.6.1.15 | 471 | 6/7/2020 |
| 3.6.1.14 | 480 | 4/21/2020 |
| 3.6.1.13 | 458 | 4/20/2020 |
| 3.6.1.12 | 538 | 3/30/2020 |
| 3.6.1.11 | 1,183 | 2/25/2020 |
| 3.6.1.10 | 1,967 | 10/11/2019 |
| 3.6.1.9 | 6,108 | 8/2/2019 |
| 3.6.1.6 | 930 | 7/8/2019 |
| 3.6.1.5 | 567 | 7/4/2019 |
| 3.6.1.4 | 660 | 6/30/2019 |
| 3.6.1.3 | 643 | 6/25/2019 |
| 3.6.1.1 | 1,847 | 6/19/2019 |
| 3.5.1.28 | 479 | 1/26/2022 |
| 3.5.1.27 | 336 | 12/8/2021 |
| 3.5.1.26 | 2,250 | 11/26/2021 |
| 3.5.1.25 | 414 | 11/12/2020 |
| 3.5.1.24 | 515 | 11/7/2020 |
| 3.5.1.23 | 430 | 10/1/2020 |
| 3.5.1.22 | 525 | 8/3/2020 |
| 3.5.1.21 | 477 | 7/22/2020 |
| 3.5.1.20 | 488 | 7/15/2020 |
| 3.5.1.19 | 509 | 7/13/2020 |
| 3.5.1.18 | 461 | 7/8/2020 |
| 3.5.1.17 | 490 | 7/7/2020 |
| 3.5.1.16 | 550 | 6/18/2020 |
| 3.5.1.15 | 560 | 6/7/2020 |
| 3.5.1.14 | 479 | 4/21/2020 |
| 3.5.1.13 | 462 | 4/20/2020 |
| 3.5.1.12 | 501 | 3/30/2020 |
| 3.5.1.11 | 804 | 2/25/2020 |
| 3.5.1.10 | 1,300 | 10/11/2019 |
| 3.5.1.9 | 1,447 | 8/2/2019 |
| 3.5.1.6 | 734 | 7/8/2019 |
| 3.5.1.5 | 554 | 7/4/2019 |
| 3.5.1.1 | 792 | 6/19/2019 |
| 2.7.1.28 | 495 | 1/26/2022 |
| 2.7.1.27 | 338 | 12/8/2021 |
| 2.7.1.26 | 2,253 | 11/26/2021 |
| 2.7.1.25 | 638 | 11/12/2020 |
| 2.7.1.24 | 516 | 11/7/2020 |
| 2.7.1.23 | 423 | 10/1/2020 |
| 2.7.1.22 | 633 | 8/3/2020 |
| 2.7.1.21 | 472 | 7/22/2020 |
| 2.7.1.20 | 482 | 7/15/2020 |
| 2.7.1.19 | 499 | 7/13/2020 |
| 2.7.1.18 | 466 | 7/8/2020 |
| 2.7.1.17 | 461 | 7/7/2020 |
| 2.7.1.16 | 582 | 6/18/2020 |
| 2.7.1.15 | 483 | 6/7/2020 |
| 2.7.1.14 | 498 | 4/21/2020 |
| 2.7.1.13 | 494 | 4/20/2020 |
| 2.7.1.12 | 523 | 3/30/2020 |
| 2.7.1.11 | 813 | 2/25/2020 |
| 2.7.1.10 | 1,236 | 10/11/2019 |
| 2.7.1.9 | 1,338 | 8/2/2019 |
| 2.7.1.6 | 719 | 7/8/2019 |
| 2.7.1.5 | 711 | 7/4/2019 |
| 1.1.0 | 1,131 | 6/16/2019 |
| 1.0.0 | 653 | 6/8/2019 |