Fast Artificial Neural Network Library is a free open source neural network library, which implements multilayer artificial neural networks in C with support for both fully connected and sparsely connected networks. Cross-platform execution in both fixed and floating point are supported. It includes a framework for easy handling of training data sets. It is easy to use, versatile, well documented, and fast. Bindings to more than 15 programming languages are available. An easy to read introduction article and a reference manual accompanies the library with examples and recommendations on how to use the library. Several graphical user interfaces are also available for the library.
NeuronDotNet is a neural network engine written in C#. It provides an interface for advanced AI programmers to design various types of artificial neural networks and use them.
SimMetrics is a Similarity Metric Library, e.g. from edit distance's (Levenshtein, Gotoh, Jaro etc) to other metrics, (e.g Soundex, Chapman). Work provided by UK Sheffield University funded by (AKT) an IRC sponsored by EPSRC, grant number GR/N15764/01.
Open source software for training neural networks
Multiple Back-Propagation is an open source software application for training neural networks with the backpropagation and the multiple back propagation algorithms. Currently this project is also hosted at http://code.google.com/p/multiplebackpropagation
RebeccaAIML is an enterprise cross platform open source AIML development platform. RebeccaAIML supports C++, Java,C#, and Python as well as many other programming languages and AIML development out of the box with Eclipse.
Open Course Timetabler is free and open source application for university and school course timetabling. It is written in C# and runs under .NET framework on Windows (and will likely run under Mono on Linux or Mac OS X).
The open source Algorithmic Trading System
OpEx is an application suite that includes the main building blocks of commercial electronic trading systems. All OpEx applications run on distributed system architectures.
Neural network library for developers
This project includes the implementation of a neural network MLP, RBF, SOM and Hopfield networks in several popular programming languages. The project also includes examples of the use of neural networks as function approximation and time series prediction. Includes a special program makes it easy to test neural network based on training data and the optimization of the network.
A chatbot for "Artificial Intelligence" course at Kyiv-Mohyla Academy.
SharpNEAT is an optimised, neuro-evolution framework written in C#. Included is a front-end GUI, a number of example problem domains and some additional applications for viewing and simulating evolved networks.
CoolChi Tank C# Control
Cool Chi Rover Tank iSpy Controller by C#
A computerised clinical decision support advancement for emergency med
ACAFE-a computerised clinical decision support advancement for emergency medicine. Hospital electronic medical record EHR or EMR. Used commercially. Other uses include research-development into chronic and infectious-diseases. DEMO http://health.ostechnology.com.au/acafe Link may be offline due to maintenance. Articles and Project Documentation: http://www.ostechnology.com.au/msdrg-forum/ Original Research project site (where ACAFE was born): http://www.ostechnology.com.au/acafe/
CRFSharp is a .NET(C#) implementation of Conditional Random Field
CRFSharp(aka CRF#) is a .NET(C#) implementation of Conditional Random Fields, an machine learning algorithm for learning from labeled sequences of examples. It is widely used in Natural Language Process (NLP) tasks, for example: word breaker, postagging, named entity recognized, query chunking and so on. CRF#'s mainly algorithm is the same as CRF++ written by Taku Kudo. It encodes model parameters by L-BFGS. Moreover, it has many significant improvement than CRF++, such as totally parallel encoding, optimizing memory usage and so on. Currently, when training corpus, compared with CRF++, CRF# can make full use of multi-core CPUs and only uses very low memory, and memory grow is very smoothly and slowly while amount of training corpus, tags increase. with multi-threads process, CRF# is more suitable for large data and tags training than CRF++ now. For example, in machine with 64GB, CRF# encodes model with more than 4.5 hundred million features quickly.
.Net C# port of GA Framework Will be renamed to GenCube later
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.
AIML Verbot Converter - Converts AIML files to Verbot KnowledgeBase (VKB) files. Visit http://www.verbots.com/ and http://www.alicebot.org to learn more about AIML and Verbots. Implemented in C# (.NET).
AIPL=Artificial Intelligence Programming Language (prounounced Ayple) AIPL is a new programming language that uses plain English psuedocode - AIPL contains an extensive set of commands that are driven by everyday English setences, key words and phrases
Color Expansion board game, built on generic minimax algorithm. This program is a member of Color Expansion AI's contest.
Alpha Better! is fast implementation of minimax/alphabeta for Win32.a
Distributed environment for agent-based evolutionary computation.
A application environment for logging game-scripts or controlling AI or mission progress in the computer game Armed Assault by Bohemia Interactive.
This is the source code for my 11th grade science fair project. It involves the use of autoencoders to improve error rates with small amounts of labeled data but large amounts of unlabeled data.
Bi-gram applications based on language models produced by SRILM from Chinese Wikipedia corpus, include Chinese word segmenter, word-based (not character-based) Traditional-Simplified Chinese converter and Chinese syllable-to-word converter.
It moves by itself inside networks like virus infection & plagues, it is being written to solve computer virus problem drastically and responsibly. It is legal, free and open for public domain to improve W3 ICT Security.
Port of CLIPS to C#