Top 20 NuGet svm Packages
Contains Support Vector Machines, Decision Trees, Naive Bayesian models, K-means, Gaussian Mixture models and general algorithms such as Ransac, Cross-validation and Grid-Search for machine-learning applications. This package is part of the Accord.NET Framework.
This package contains libraries of the Accord.NET Framework that are NOT available under the LGPL. It currently includes Accord.MachineLearning.GPL, which contains GPL code and thus can only be used inside GPL-compliant applications. Please take extra care before including this library in your proje...
Machine Learning library in .NET Core.
An easy and quick way to use libsvm in your .NET projects. Envoy !
LibSVMsharp is a simple and easy-to-use C# wrapper for Support Vector Machines. This library uses LibSVM version 3.23 with x64 support, released on 15th of July in 2018. For more information: https://github.com/ccerhan/LibSVMsharp
.NET wrapper for LIBSVM written in C#. Please download libsvm.dll from https://github.com/cjlin1/libsvm
LibSVM Port in C# With Easy-to-use Models
.NET wrapper for LIBLINEAR written in C#. Please download liblinear.dll from https://github.com/cjlin1/liblinear
.NET wrapper for ThunderSVM
A liblinear and libsvm wrapper for .NET written in C++/CLI for maximum performance.
A liblinear and libsvm wrapper for .NET written in C++/CLI for maximum performance.
A liblinear and libsvm wrapper for .NET written in C++/CLI for maximum performance.
A liblinear and libsvm wrapper for .NET written in C++/CLI for maximum performance.
A liblinear and libsvm wrapper for .NET written in C++/CLI for maximum performance.
A liblinear and libsvm wrapper for .NET written in C++/CLI for maximum performance.
A liblinear and libsvm wrapper for .NET written in C++/CLI for maximum performance.
A liblinear and libsvm wrapper for .NET written in C++/CLI for maximum performance.
LibSVMsharp is a simple and easy-to-use C# wrapper for Support Vector Machines. It uses the latest LibSVM Version 3.21 which released on December 14, 2015.