Python.Runtime.NETStandard 3.7.1

Pythonnet compiled against .NetStandard 2.0 and CPython 3.7 (win64)

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Additional Details

There are newer versions but the package name has been changed to pythonnet_netstandard_py(27|35|36|37|38)_win so please switch to the new packages in order to update.

Install-Package Python.Runtime.NETStandard -Version 3.7.1
dotnet add package Python.Runtime.NETStandard --version 3.7.1
<PackageReference Include="Python.Runtime.NETStandard" Version="3.7.1" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Python.Runtime.NETStandard --version 3.7.1
The NuGet Team does not provide support for this client. Please contact its maintainers for support.

NuGet packages (3)

Showing the top 3 NuGet packages that depend on Python.Runtime.NETStandard:

Package Downloads
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.
Python.Included is an automatic deployment mechanism for .NET packages which depend on the embedded Python distribution. This allows libraries depending on Python and/or Python packages to be deployed via Nuget without having to worry about any local Python installations.
Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.

GitHub repositories (1)

Showing the top 1 popular GitHub repositories that depend on Python.Runtime.NETStandard:

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.NET bindings for PyTorch. Machine Learning with C# / F# with Multi-GPU/CPU support

Version History

Version Downloads Last updated
3.7.1 26,175 7/4/2019
3.7.0 17,140 6/4/2019
3.6.1 7,366 7/4/2019
3.6.0 1,919 6/19/2019
3.5.1 768 7/4/2019
3.5.0 373 6/19/2019
2.7.1 798 7/4/2019