FRAMEWORK

Accord.NET is a framework for scientific computing in .NET. The framework is comprised of multiple librares encompassing a wide range of scientific computing applications, such as statistical data processing, machine learning, pattern recognition, including but not limited to, computer vision and computer audition. The framework offers a large number of probability distributions, hypothesis tests, kernel functions and support for most popular performance measurements techniques... Accord.NET is a .NET machine learning framework combined with audio and image processing libraries completely written in C# ready to be used in commercial applications.