NumSharp.Lite
0.1.12
dotnet add package NumSharp.Lite --version 0.1.12
NuGet\Install-Package NumSharp.Lite -Version 0.1.12
<PackageReference Include="NumSharp.Lite" Version="0.1.12" />
paket add NumSharp.Lite --version 0.1.12
#r "nuget: NumSharp.Lite, 0.1.12"
// Install NumSharp.Lite as a Cake Addin
#addin nuget:?package=NumSharp.Lite&version=0.1.12
// Install NumSharp.Lite as a Cake Tool
#tool nuget:?package=NumSharp.Lite&version=0.1.12
NumSharp.Lite is the compact version of NumSharp without full datatype supported.
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 net7.0 net7.0-android net7.0-ios net7.0-maccatalyst net7.0-macos net7.0-tvos net7.0-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 net481 |
MonoAndroid | monoandroid |
MonoMac | monomac |
MonoTouch | monotouch |
Tizen | tizen40 tizen60 |
Xamarin.iOS | xamarinios |
Xamarin.Mac | xamarinmac |
Xamarin.TVOS | xamarintvos |
Xamarin.WatchOS | xamarinwatchos |
-
.NETStandard 2.0
- System.Memory (>= 4.5.3)
NuGet packages (3)
Showing the top 3 NuGet packages that depend on NumSharp.Lite:
Package | Downloads |
---|---|
SciSharp.TensorFlowHub
TensorFlow Hub is a library to foster the publication, discovery, and consumption of reusable parts of machine learning models. |
|
Gym.NET
openai/gym's popular toolkit for developing and comparing reinforcement learning algorithms port to C#. This package contains the base classes to mimic gym's OOP structure. |
|
Gym.NET.Environments
openai/gym's popular toolkit for developing and comparing reinforcement learning algorithms port to C#. This package contains ported gym's environments. |
GitHub repositories
This package is not used by any popular GitHub repositories.
Implicit from scalar NDArray to byte.
Deconstruct NDArray to tuple(byte, byte, byte).
Create NDArray from string[].
Improve ToString() performance.
Add float and double to np.frombuffer.
Fix bool data size.