Description

Accord.NET Framework is a set of libraries and machine learning frameworks designed for dotnet applications. It enables users to access statistical analysis, machine learning, image processing, and computer vision methods to perform scientific computing in dotnet applications. Features include vector machine support, regression, clustering, univariate distribution, and hypothesis tests.