dotnet add package AdvUtils --version 2.5.0
NuGet\Install-Package AdvUtils -Version 2.5.0
<PackageReference Include="AdvUtils" Version="2.5.0" />
paket add AdvUtils --version 2.5.0
#r "nuget: AdvUtils, 2.5.0"
// Install AdvUtils as a Cake Addin #addin nuget:?package=AdvUtils&version=2.5.0 // Install AdvUtils as a Cake Tool #tool nuget:?package=AdvUtils&version=2.5.0
Advanced Utility Libs
This project provides the following basic and advanced utility libs for developer.
- DictMatch: high performance string matching in large lexical dictionary
- Basic Trie-Tree: naive trie-tree builder and searching algorithm
- Double Array Trie-Tree: high performance parallel double array trie-tree builder and searching algorithm
- Big Array: the large array which supports more than 2G size
- Variable Big Array: the variable large array which supports more than 2G size
- Big Dictionary: the large dictionary which supports more than 2G size
- Logger: The utility class for logging.
- Vector Quantization: Data compression method that convert continuous values to discrete values
|Product||Versions Compatible and additional computed target framework versions.|
|.NET||net6.0 is compatible. net6.0-android was computed. net6.0-ios was computed. net6.0-maccatalyst was computed. net6.0-macos was computed. net6.0-tvos was computed. net6.0-windows was computed. net7.0 was computed. 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.|
- No dependencies.
NuGet packages (3)
Showing the top 3 NuGet packages that depend on AdvUtils:
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 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
This package is not used by any popular GitHub repositories.