Numpy.Bare 3.8.1.28

.NET Standard 2.0
Install-Package Numpy.Bare -Version 3.8.1.28
dotnet add package Numpy.Bare --version 3.8.1.28
<PackageReference Include="Numpy.Bare" Version="3.8.1.28" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Numpy.Bare --version 3.8.1.28
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
#r "nuget: Numpy.Bare, 3.8.1.28"
#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=3.8.1.28

// Install Numpy.Bare as a Cake Tool
#tool nuget:?package=Numpy.Bare&version=3.8.1.28
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!

Product Versions
.NET net5.0 net5.0-windows net6.0 net6.0-android net6.0-ios net6.0-maccatalyst net6.0-macos net6.0-tvos net6.0-windows
.NET Core netcoreapp2.0 netcoreapp2.1 netcoreapp2.2 netcoreapp3.0 netcoreapp3.1
.NET Standard netstandard2.0 netstandard2.1
.NET Framework net461 net462 net463 net47 net471 net472 net48
MonoAndroid monoandroid
MonoMac monomac
MonoTouch monotouch
Tizen tizen40 tizen60
Xamarin.iOS xamarinios
Xamarin.Mac xamarinmac
Xamarin.TVOS xamarintvos
Xamarin.WatchOS xamarinwatchos
Compatible target framework(s)
Additional computed target framework(s)
Learn more about Target Frameworks and .NET Standard.

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
3.8.1.28 379 1/26/2022
3.8.1.27 255 12/8/2021
3.8.1.26 2,095 11/26/2021
3.8.1.25 8,580 11/12/2020
3.8.1.24 316 11/7/2020
3.8.1.23 387 10/1/2020
3.8.1.22 2,317 8/3/2020
3.7.1.28 87 1/26/2022
3.7.1.27 102 12/8/2021
3.7.1.26 2,016 11/26/2021
3.7.1.25 982 11/12/2020
3.7.1.24 299 11/7/2020
3.7.1.23 253 10/1/2020
3.7.1.22 1,315 8/3/2020
3.7.1.21 307 7/22/2020
3.7.1.20 280 7/15/2020
3.7.1.19 280 7/13/2020
3.7.1.18 269 7/8/2020
3.7.1.17 263 7/7/2020
3.7.1.16 437 6/18/2020
3.7.1.15 282 6/7/2020
3.7.1.14 509 4/21/2020
3.7.1.13 261 4/20/2020
3.7.1.12 397 3/30/2020
3.7.1.11 5,459 2/25/2020
3.7.1.10 2,724 10/11/2019
3.7.1.9 628 8/2/2019
3.7.1.6 1,284 7/8/2019
3.7.1.5 349 7/4/2019
3.7.1.4 522 6/30/2019
3.7.1.3 332 6/25/2019
3.7.1.2 320 6/23/2019
3.7.1.1 381 6/19/2019
3.6.1.28 71 1/26/2022
3.6.1.27 102 12/8/2021
3.6.1.26 2,024 11/26/2021
3.6.1.25 227 11/12/2020
3.6.1.24 281 11/7/2020
3.6.1.23 228 10/1/2020
3.6.1.22 321 8/3/2020
3.6.1.21 249 7/22/2020
3.6.1.20 277 7/15/2020
3.6.1.19 249 7/13/2020
3.6.1.18 232 7/8/2020
3.6.1.17 228 7/7/2020
3.6.1.16 318 6/18/2020
3.6.1.15 233 6/7/2020
3.6.1.14 268 4/21/2020
3.6.1.13 251 4/20/2020
3.6.1.12 302 3/30/2020
3.6.1.11 664 2/25/2020
3.6.1.10 1,211 10/11/2019
3.6.1.9 4,723 8/2/2019
3.6.1.6 558 7/8/2019
3.6.1.5 323 7/4/2019
3.6.1.4 420 6/30/2019
3.6.1.3 382 6/25/2019
3.6.1.1 1,077 6/19/2019
3.5.1.28 67 1/26/2022
3.5.1.27 96 12/8/2021
3.5.1.26 2,000 11/26/2021
3.5.1.25 181 11/12/2020
3.5.1.24 283 11/7/2020
3.5.1.23 201 10/1/2020
3.5.1.22 266 8/3/2020
3.5.1.21 229 7/22/2020
3.5.1.20 239 7/15/2020
3.5.1.19 266 7/13/2020
3.5.1.18 228 7/8/2020
3.5.1.17 241 7/7/2020
3.5.1.16 309 6/18/2020
3.5.1.15 324 6/7/2020
3.5.1.14 241 4/21/2020
3.5.1.13 240 4/20/2020
3.5.1.12 274 3/30/2020
3.5.1.11 379 2/25/2020
3.5.1.10 606 10/11/2019
3.5.1.9 689 8/2/2019
3.5.1.6 390 7/8/2019
3.5.1.5 318 7/4/2019
3.5.1.1 429 6/19/2019
2.7.1.28 67 1/26/2022
2.7.1.27 97 12/8/2021
2.7.1.26 2,018 11/26/2021
2.7.1.25 259 11/12/2020
2.7.1.24 278 11/7/2020
2.7.1.23 197 10/1/2020
2.7.1.22 309 8/3/2020
2.7.1.21 236 7/22/2020
2.7.1.20 249 7/15/2020
2.7.1.19 265 7/13/2020
2.7.1.18 239 7/8/2020
2.7.1.17 238 7/7/2020
2.7.1.16 312 6/18/2020
2.7.1.15 229 6/7/2020
2.7.1.14 244 4/21/2020
2.7.1.13 245 4/20/2020
2.7.1.12 274 3/30/2020
2.7.1.11 389 2/25/2020
2.7.1.10 571 10/11/2019
2.7.1.9 628 8/2/2019
2.7.1.6 385 7/8/2019
2.7.1.5 402 7/4/2019
1.1.0 547 6/16/2019
1.0.0 390 6/8/2019