Search Results for "framework for .net"

UnBBayes is a probabilistic network framework written in Java. It has both a GUI and an API with inference, sampling, learning and evaluation. It supports Bayesian networks, influence diagrams, MSBN, OOBN, HBN, MEBN/PR-OWL, PRM, structure, parameter and incremental learning. Please, visit our wiki (https://sourceforge.net/p/unbbayes/wiki/Home/) for more information. Check out the license section (https://sourceforge.net/p/unbbayes/wiki/License/) for our licensing policy.

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.

SEPIA provides implementations for various types of Petri nets. Along Place/Transition-nets, it supports Petri nets with distinguishable token colors and defines coloured workflow nets, where coloured tokens are interpreted as data elements used during process execution. To support information flow analysis of processes, SEPIA defines so-called IF-Nets, tailored for security-oriented workflow modeling which enable users to assign security-levels (HIGH, LOW) to transitions, data elements and...

Graficas 2D is an opensource library for plotting 2D functions. It's compatible with .NET Framework and Mono

IsItPrime is a powerful, cross-platform, multi-threaded standalone application capable of testing massive numbers in several ways through a highly interactive and easily-understood user interface. As of version 2.0.0, IsItPrime and other NCPrime applications no longer require the Visual C++ 2010 Redistributable for Windows. All NCPrime applications released after 1 November 2012 use the Qt framework and thus require Qt libraries (included) for cross-platform compatibility. IsItPrime is...

Nan.System.Platform v.1.1 (Beta) Platform-level utilities on .NET Framework 4.0 (C#) NOTE: Requires the MS Visual C++ Run-Time (msvcrt.dll).

Quantifa is an F# open-source library for quantitative finance and risk management. Quantifa can be viewed as a functional programming version of QuantLib and QLNet. Currently, the Quantifa Team is looking for developers.

Math.NET aims to provide a self contained clean framework for symbolic mathematical (Computer Algebra System) and numerical/scientific computations, including a parser and support for linear algebra, complex differential analysis, system solving and more

Demetrix is a Java-based process modelling system. The goal of the project is to develop a flexible framework for managing complex process models using Petri-Net-oriented methodologies (state-task networks and resource-task networks).

This library provides a collection of statistical, scientific and mathematical functions developed in C#.