pythonnet 2.3.0-py27-dotnet
See the version list below for details.
dotnet add package pythonnet --version 2.3.0-py27-dotnet
NuGet\Install-Package pythonnet -Version 2.3.0-py27-dotnet
<PackageReference Include="pythonnet" Version="2.3.0-py27-dotnet" />
paket add pythonnet --version 2.3.0-py27-dotnet
#r "nuget: pythonnet, 2.3.0-py27-dotnet"
// Install pythonnet as a Cake Addin #addin nuget:?package=pythonnet&version=2.3.0-py27-dotnet&prerelease // Install pythonnet as a Cake Tool #tool nuget:?package=pythonnet&version=2.3.0-py27-dotnet&prerelease
Python and CLR (.NET and Mono) cross-platform language interop
Product | Versions Compatible and additional computed target framework versions. |
---|---|
.NET Framework | net40 is compatible. net403 was computed. net45 was computed. net451 was computed. net452 was computed. net46 was computed. net461 was computed. net462 was computed. net463 was computed. net47 was computed. net471 was computed. net472 was computed. net48 was computed. net481 was computed. |
This package has no dependencies.
NuGet packages (41)
Showing the top 5 NuGet packages that depend on pythonnet:
Package | Downloads |
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Python.Included
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. |
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Numpy.Bare
C# bindings for NumPy on Win64 - a fundamental library for scientific computing, machine learning and AI. Does require Python 3.7 with NumPy 1.16 installed! |
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Gradient.Runtime
Core runtime components for Gradient |
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LostTech.NumPy
.NET bindings for NumPy. Requires the actual Python with NumPy installed. |
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LostTech.TensorFlow
FULL TensorFlow 2.5+ for .NET with Keras. Build, train, checkpoint, execute models. Samples: https://github.com/losttech/Gradient-Samples, https://github.com/losttech/YOLOv4, https://github.com/losttech/Siren Deep learning with .NET blog: https://ml.blogs.losttech.software/ Comparison with TensorFlowSharp: https://github.com/losttech/Gradient/#why-not-tensorflowsharp Comparison with TensorFlow.NET: https://github.com/losttech/Gradient/#why-not-tensorflow-net Allows building arbitrary machine learning models, training them, and loading and executing pre-trained models using the most popular machine learning framework out there: TensorFlow. All from your favorite comfy .NET language. Supports both CPU and GPU training (the later requires CUDA or a special build of TensorFlow). Provides access to full tf.keras, estimators and many more APIs. Free for non-commercial use. For licensing options see https://losttech.software/buy_gradient.html !!NOTE!! This version requires Python 3.x x64 to be installed with TensorFlow 2.5.x. See the official installation instructions in https://www.tensorflow.org/install/ (ensure you are installing version 2.5 to avoid hard-to-debug issues). Please, report any issues to https://github.com/losttech/Gradient/issues For community support use https://stackoverflow.com/ with tags (must be all 3 together) tensorflow, gradient, and .net. For support email contact@losttech.software . More information in NuGet package release notes and on the project web page: https://github.com/losttech/Gradient . TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc. |
GitHub repositories (8)
Showing the top 5 popular GitHub repositories that depend on pythonnet:
Repository | Stars |
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elsa-workflows/elsa-core
A .NET workflows library
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LykosAI/StabilityMatrix
Multi-Platform Package Manager for Stable Diffusion
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Danily07/Translumo
Advanced real-time screen translator for games, hardcoded subtitles in videos, static text and etc.
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SciSharp/BotSharp
The AI Agent Framework in .NET
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SciSharp/Numpy.NET
C#/F# bindings for NumPy - a fundamental library for scientific computing, machine learning and AI
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Version | Downloads | Last updated |
---|---|---|
3.1.0-preview2024-09-06 | 2,203 | 9/6/2024 |
3.1.0-preview2024-08-05 | 806 | 8/5/2024 |
3.1.0-preview2024-07-03 | 3,477 | 7/3/2024 |
3.1.0-preview2024-06-03 | 5,608 | 6/3/2024 |
3.1.0-preview2024-05-07 | 731 | 5/7/2024 |
3.1.0-preview2024-04-07 | 748 | 4/7/2024 |
3.1.0-preview2024-03-03 | 11,830 | 3/3/2024 |
3.1.0-preview2024-02-05 | 634 | 2/5/2024 |
3.1.0-preview2024-01-04 | 52,472 | 1/4/2024 |
3.1.0-preview2023-12-04 | 1,394 | 12/4/2023 |
3.1.0-preview2023-11-04 | 864 | 11/4/2023 |
3.1.0-preview2023-10-03 | 776 | 10/3/2023 |
3.1.0-preview2023-09-17 | 1,052 | 9/17/2023 |
3.1.0-preview2023-07-03 | 6,435 | 7/3/2023 |
3.1.0-preview2023-04-03 | 12,564 | 4/3/2023 |
3.0.4 | 22,172 | 9/19/2024 |
3.0.3 | 321,592 | 10/11/2023 |
3.0.2 | 35,859 | 8/29/2023 |
3.0.1 | 328,966 | 11/2/2022 |
3.0.0 | 32,924 | 9/29/2022 |
2.3.0-py35-dotnet | 3,751 | 3/16/2017 |
2.3.0-py27-dotnet | 1,985 | 3/16/2017 |