Numpy.Bare
1.0.0
C# bindings for NumPy - a fundamental library for scientific computing, machine learning and AI. Does require Python 3.7 with NumPy 1.16 installed!
There is a newer version of this package available.
See the version list below for details.
See the version list below for details.
Install-Package Numpy.Bare -Version 1.0.0
dotnet add package Numpy.Bare --version 1.0.0
<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.
paket add Numpy.Bare --version 1.0.0
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
#r "nuget: Numpy.Bare, 1.0.0"
#r directive can be used in F# Interactive, C# scripting and .NET Interactive. 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=1.0.0
// Install Numpy.Bare as a Cake Tool
#tool nuget:?package=Numpy.Bare&version=1.0.0
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
Dependencies
-
.NETCoreApp 2.1
- Python.Runtime.NETStandard (>= 3.7.0)
Used By
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.
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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/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/Numpy.NET
C#/F# bindings for NumPy - a fundamental library for scientific computing, machine learning and AI
|
|
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SciSharp/Torch.NET
.NET bindings for PyTorch. Machine Learning with C# / F# with Multi-GPU/CPU support
|
Version History
| Version | Downloads | Last updated |
|---|---|---|
| 3.8.1.25 | 2,882 | 11/12/2020 |
| 3.8.1.24 | 218 | 11/7/2020 |
| 3.8.1.23 | 298 | 10/1/2020 |
| 3.8.1.22 | 1,789 | 8/3/2020 |
| 3.7.1.25 | 544 | 11/12/2020 |
| 3.7.1.24 | 193 | 11/7/2020 |
| 3.7.1.23 | 147 | 10/1/2020 |
| 3.7.1.22 | 707 | 8/3/2020 |
| 3.7.1.21 | 221 | 7/22/2020 |
| 3.7.1.20 | 203 | 7/15/2020 |
| 3.7.1.19 | 188 | 7/13/2020 |
| 3.7.1.18 | 177 | 7/8/2020 |
| 3.7.1.17 | 179 | 7/7/2020 |
| 3.7.1.16 | 337 | 6/18/2020 |
| 3.7.1.15 | 193 | 6/7/2020 |
| 3.7.1.14 | 424 | 4/21/2020 |
| 3.7.1.13 | 187 | 4/20/2020 |
| 3.7.1.12 | 312 | 3/30/2020 |
| 3.7.1.11 | 3,468 | 2/25/2020 |
| 3.7.1.10 | 2,538 | 10/11/2019 |
| 3.7.1.9 | 534 | 8/2/2019 |
| 3.7.1.6 | 949 | 7/8/2019 |
| 3.7.1.5 | 259 | 7/4/2019 |
| 3.7.1.4 | 417 | 6/30/2019 |
| 3.7.1.3 | 261 | 6/25/2019 |
| 3.7.1.2 | 249 | 6/23/2019 |
| 3.7.1.1 | 293 | 6/19/2019 |
| 3.6.1.25 | 137 | 11/12/2020 |
| 3.6.1.24 | 181 | 11/7/2020 |
| 3.6.1.23 | 146 | 10/1/2020 |
| 3.6.1.22 | 229 | 8/3/2020 |
| 3.6.1.21 | 156 | 7/22/2020 |
| 3.6.1.20 | 179 | 7/15/2020 |
| 3.6.1.19 | 178 | 7/13/2020 |
| 3.6.1.18 | 147 | 7/8/2020 |
| 3.6.1.17 | 158 | 7/7/2020 |
| 3.6.1.16 | 237 | 6/18/2020 |
| 3.6.1.15 | 156 | 6/7/2020 |
| 3.6.1.14 | 193 | 4/21/2020 |
| 3.6.1.13 | 168 | 4/20/2020 |
| 3.6.1.12 | 216 | 3/30/2020 |
| 3.6.1.11 | 447 | 2/25/2020 |
| 3.6.1.10 | 905 | 10/11/2019 |
| 3.6.1.9 | 4,306 | 8/2/2019 |
| 3.6.1.6 | 438 | 7/8/2019 |
| 3.6.1.5 | 236 | 7/4/2019 |
| 3.6.1.4 | 333 | 6/30/2019 |
| 3.6.1.3 | 287 | 6/25/2019 |
| 3.6.1.1 | 776 | 6/19/2019 |
| 3.5.1.25 | 106 | 11/12/2020 |
| 3.5.1.24 | 179 | 11/7/2020 |
| 3.5.1.23 | 120 | 10/1/2020 |
| 3.5.1.22 | 199 | 8/3/2020 |
| 3.5.1.21 | 150 | 7/22/2020 |
| 3.5.1.20 | 163 | 7/15/2020 |
| 3.5.1.19 | 170 | 7/13/2020 |
| 3.5.1.18 | 142 | 7/8/2020 |
| 3.5.1.17 | 157 | 7/7/2020 |
| 3.5.1.16 | 218 | 6/18/2020 |
| 3.5.1.15 | 247 | 6/7/2020 |
| 3.5.1.14 | 157 | 4/21/2020 |
| 3.5.1.13 | 166 | 4/20/2020 |
| 3.5.1.12 | 199 | 3/30/2020 |
| 3.5.1.11 | 249 | 2/25/2020 |
| 3.5.1.10 | 351 | 10/11/2019 |
| 3.5.1.9 | 399 | 8/2/2019 |
| 3.5.1.6 | 266 | 7/8/2019 |
| 3.5.1.5 | 233 | 7/4/2019 |
| 3.5.1.1 | 307 | 6/19/2019 |
| 2.7.1.25 | 122 | 11/12/2020 |
| 2.7.1.24 | 180 | 11/7/2020 |
| 2.7.1.23 | 120 | 10/1/2020 |
| 2.7.1.22 | 211 | 8/3/2020 |
| 2.7.1.21 | 148 | 7/22/2020 |
| 2.7.1.20 | 162 | 7/15/2020 |
| 2.7.1.19 | 171 | 7/13/2020 |
| 2.7.1.18 | 154 | 7/8/2020 |
| 2.7.1.17 | 157 | 7/7/2020 |
| 2.7.1.16 | 223 | 6/18/2020 |
| 2.7.1.15 | 140 | 6/7/2020 |
| 2.7.1.14 | 163 | 4/21/2020 |
| 2.7.1.13 | 162 | 4/20/2020 |
| 2.7.1.12 | 196 | 3/30/2020 |
| 2.7.1.11 | 252 | 2/25/2020 |
| 2.7.1.10 | 331 | 10/11/2019 |
| 2.7.1.9 | 384 | 8/2/2019 |
| 2.7.1.6 | 259 | 7/8/2019 |
| 2.7.1.5 | 269 | 7/4/2019 |
| 1.1.0 | 366 | 6/16/2019 |
| 1.0.0 | 282 | 6/8/2019 |