Scientific computing, machine learning and computer vision for .NET
The Accord.NET Framework provides machine learning, mathematics, statistics, computer vision, computer audition, and several scientific computing related methods and techniques to .NET. The project is compatible with the .NET Framework. NET Standard, .NET Core, and Mono.
PiSvM is a parallel SupportVectorMachine (SVM) implementation. It supports C-SVC, nu-SVC, epsilon-SVR and nu-SVR and has a command-line interface similar to the popular LibSVM package.
Ruby SVM is a Ruby binding to the very popular and highly useful libsvm library (released under a seperate license) This allows you to effortlessly experiment with machine learning, in particular SupportVector Machines, in Ruby. SVM's have found use in