Search Results for "c# source code" - Page 95
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Showing 2795 open source projects for "c# source code"
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Arlisy stands for artificial life synthesizer. It uses artificial neural networks and an evolutionary algorithm to simulate the process of life.
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3store is an RDF "triple store", written in C and backed by MySQL and Berkeley DB. It is an optimisation and port of an older triple store (WebKBC). It provides access to the RDF data via RDQL or SPARQL over HTTP, on the command line or via a C API.
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Kally is a software agent embedded in OpenOffice. We have created a simple interface to allow agents powered by GLORIA (gloria.sourceforge.net) to act as help assistants for users of OpenOffice, the office suite.
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A light-weight Genetic Programming system written in C++ that is intended primarily for Symbolic Regression
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Simulator of virtual animals made up of biological neural networks for research in the Computational Neuroscience field.
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Software tool that emphasizes useful information, communication, and intent. Accomplish any conceivable computer task by transforming fuzzy abstract data-structures in a fractal vector graphics user interface.
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Robot Warfare is a real-time strategy game that gives the user an opportunity to manage and program a team of battling robots that autonomously face opposing teams in a network-enabled environment.
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The webcam computer vision (WCCV) project focuses on computer vision algorithms and systems that follow the web cam paradigm: cheap, robust and efficient. The project comprises designs, patterns, code, tutorials and examples.
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This is a C++ Neural Network controller developed under Linux. This controller abstracts a reletionship between inputs and outputs. The data used are in text format. New neuron types are needed and a graphic interface. www.unipd.it/~akela2/project
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PCP (Pattern Classification Program) is an open-source machine learning program for supervised classification of patterns. PCP is a binary executable running on Linux and Windows (under Cygwin environment).
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treecat is a simple, interactive tool that helps you classify files or database entries into an arbitrary category tree. Items are automatically classified within a taxonomy quickly and accurately, requiring single key confirmation or correction.
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A modern and usable interface for the well known neuronal network simulator SNNS. The GUI acts as a client to serveral servers embedding SNNS and supports team work aspects.
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A distributed evolution simulation. Features a separate client and server. The client uses OpenGL and OpenAL for visualation and auralization.
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This project provides a simple kernel for building distributed agent-based applications. It is based on the idea that the principles underlying dataflow programming are well-suited to design a coordination language for multi-agent environments.
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HOPEN (Hopfield Open Network) is a program for patterns recognition based on a Hopfield Artificial Neural Network. It can learn using Hebb's Rule, Iterative Learning Scheme and Repeated Hebbian Learning.
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An object-oriented platform and algorithms for the game of GO. Aims: 1) A capable engine that can learn through experience. 2) A re-usable algorithmic framework for rapid development of new GO-playing engines.
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An agent framework for ubicomp applications. The mSALSA framework facilitates the development of ubicomp systems using autonomous agents.
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Using agent technology JAMAS (Java Awareness Multi-Agent System) tries to assist distributed programmers in coordinating parallel development of Java code. E-JAMAS implements JAMAS and it’s features as a plug-in for the Eclipse platform.
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MultiBoost is a C++ implementation of the multi-class AdaBoost algorithm. AdaBoost is a powerful meta-learning algorithm commonly used in machine learning. The code is well documented and easy to extend, especially for adding new weak learners.
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NeuroBox is an .NET OOP Library to generate, propagate and train complex neuronal networks with technologies like backpropagation with weight decay, momentum term, manhattan training, flatspot elimination etc.
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Project Genesis brings the game of life up-to-date. instead of dots, we have animals, instead of trivial rules about close proximity dots, we model real world activities: move,eat,kill,steal,destroy,sleep, breed and learn different patterns of behavior.
