AdvUtils 2.7.0

dotnet add package AdvUtils --version 2.7.0                
NuGet\Install-Package AdvUtils -Version 2.7.0                
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package.
<PackageReference Include="AdvUtils" Version="2.7.0" />                
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add AdvUtils --version 2.7.0                
#r "nuget: AdvUtils, 2.7.0"                
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package.
// Install AdvUtils as a Cake Addin
#addin nuget:?package=AdvUtils&version=2.7.0

// Install AdvUtils as a Cake Tool
#tool nuget:?package=AdvUtils&version=2.7.0                

A utility for common alogrithms

Product Compatible and additional computed target framework versions.
.NET net7.0 is compatible.  net7.0-android was computed.  net7.0-ios was computed.  net7.0-maccatalyst was computed.  net7.0-macos was computed.  net7.0-tvos was computed.  net7.0-windows was computed.  net8.0 was computed.  net8.0-android was computed.  net8.0-browser was computed.  net8.0-ios was computed.  net8.0-maccatalyst was computed.  net8.0-macos was computed.  net8.0-tvos was computed.  net8.0-windows was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.
  • net7.0

    • No dependencies.

NuGet packages (3)

Showing the top 3 NuGet packages that depend on AdvUtils:

Package Downloads

Seq2SeqSharp is a tensor based fast & flexible encoder-decoder deep neural network framework written by .NET (C#). It can be used for sequence-to-sequence task, sequence-labeling task and sequence-classification task and other NLP tasks. Seq2SeqSharp supports both CPUs (x86, x64 and ARM64) and GPUs. It's powered by .NET core, so Seq2SeqSharp can run on both Windows and Linux without any modification and recompilation.


A tensor libaray based on CPU. It includes many operations and can be used for neural networks


A tensor libaray based on CUDA. It includes many operations and can be used for neural networks

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last updated
2.7.0 305 1/5/2024
2.5.0 548 5/9/2022