Numpy.Bare 3.8.1.27

Install-Package Numpy.Bare -Version 3.8.1.27
dotnet add package Numpy.Bare --version 3.8.1.27
<PackageReference Include="Numpy.Bare" Version="3.8.1.27" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Numpy.Bare --version 3.8.1.27
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
#r "nuget: Numpy.Bare, 3.8.1.27"
#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=3.8.1.27

// Install Numpy.Bare as a Cake Tool
#tool nuget:?package=Numpy.Bare&version=3.8.1.27
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 3.8 with NumPy 1.16 installed!

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.

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.
SciSharp/Numpy.NET
C#/F# bindings for NumPy - a fundamental library for scientific computing, machine learning and AI
SciSharp/Torch.NET
.NET bindings for PyTorch. Machine Learning with C# / F# with Multi-GPU/CPU support
Version Downloads Last updated
3.8.1.27 168 12/8/2021
3.8.1.26 2,074 11/26/2021
3.8.1.25 6,434 11/12/2020
3.8.1.24 287 11/7/2020
3.8.1.23 356 10/1/2020
3.8.1.22 2,171 8/3/2020
3.7.1.27 70 12/8/2021
3.7.1.26 1,997 11/26/2021
3.7.1.25 864 11/12/2020
3.7.1.24 273 11/7/2020
3.7.1.23 217 10/1/2020
3.7.1.22 1,170 8/3/2020
3.7.1.21 280 7/22/2020
3.7.1.20 256 7/15/2020
3.7.1.19 251 7/13/2020
3.7.1.18 242 7/8/2020
3.7.1.17 237 7/7/2020
3.7.1.16 394 6/18/2020
3.7.1.15 253 6/7/2020
3.7.1.14 476 4/21/2020
3.7.1.13 234 4/20/2020
3.7.1.12 365 3/30/2020
3.7.1.11 4,627 2/25/2020
3.7.1.10 2,670 10/11/2019
3.7.1.9 596 8/2/2019
3.7.1.6 1,171 7/8/2019
3.7.1.5 311 7/4/2019
3.7.1.4 488 6/30/2019
3.7.1.3 297 6/25/2019
3.7.1.2 293 6/23/2019
3.7.1.1 345 6/19/2019
3.6.1.27 66 12/8/2021
3.6.1.26 1,999 11/26/2021
3.6.1.25 203 11/12/2020
3.6.1.24 251 11/7/2020
3.6.1.23 198 10/1/2020
3.6.1.22 296 8/3/2020
3.6.1.21 220 7/22/2020
3.6.1.20 248 7/15/2020
3.6.1.19 222 7/13/2020
3.6.1.18 207 7/8/2020
3.6.1.17 204 7/7/2020
3.6.1.16 294 6/18/2020
3.6.1.15 208 6/7/2020
3.6.1.14 242 4/21/2020
3.6.1.13 227 4/20/2020
3.6.1.12 275 3/30/2020
3.6.1.11 614 2/25/2020
3.6.1.10 1,125 10/11/2019
3.6.1.9 4,641 8/2/2019
3.6.1.6 521 7/8/2019
3.6.1.5 291 7/4/2019
3.6.1.4 390 6/30/2019
3.6.1.3 343 6/25/2019
3.6.1.1 1,026 6/19/2019
3.5.1.27 59 12/8/2021
3.5.1.26 1,983 11/26/2021
3.5.1.25 157 11/12/2020
3.5.1.24 257 11/7/2020
3.5.1.23 176 10/1/2020
3.5.1.22 241 8/3/2020
3.5.1.21 205 7/22/2020
3.5.1.20 215 7/15/2020
3.5.1.19 237 7/13/2020
3.5.1.18 197 7/8/2020
3.5.1.17 214 7/7/2020
3.5.1.16 280 6/18/2020
3.5.1.15 294 6/7/2020
3.5.1.14 212 4/21/2020
3.5.1.13 219 4/20/2020
3.5.1.12 243 3/30/2020
3.5.1.11 357 2/25/2020
3.5.1.10 556 10/11/2019
3.5.1.9 638 8/2/2019
3.5.1.6 356 7/8/2019
3.5.1.5 283 7/4/2019
3.5.1.1 395 6/19/2019
2.7.1.27 60 12/8/2021
2.7.1.26 1,994 11/26/2021
2.7.1.25 227 11/12/2020
2.7.1.24 253 11/7/2020
2.7.1.23 172 10/1/2020
2.7.1.22 286 8/3/2020
2.7.1.21 207 7/22/2020
2.7.1.20 220 7/15/2020
2.7.1.19 233 7/13/2020
2.7.1.18 213 7/8/2020
2.7.1.17 213 7/7/2020
2.7.1.16 283 6/18/2020
2.7.1.15 205 6/7/2020
2.7.1.14 220 4/21/2020
2.7.1.13 220 4/20/2020
2.7.1.12 248 3/30/2020
2.7.1.11 364 2/25/2020
2.7.1.10 531 10/11/2019
2.7.1.9 591 8/2/2019
2.7.1.6 353 7/8/2019
2.7.1.5 360 7/4/2019
1.1.0 510 6/16/2019
1.0.0 358 6/8/2019