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Program to performing the complete cycle of neural networks analysis: preparing data, choosing neural network (CasCor, MP, LogRegression, PNN), learning of network, monitoring learning state, ROC-analysis, optimization of network parameters using GA.
Deprecated for Collective Knowledge Framework (universal autotuning and predictive analytics): http://github.com/ctuning/ck
This is Continuous Collective Compilation (and Parallelization) Framework to enable optimization knowledge reuse among different programs and architectures and optimize programs for performance, size, power consumption and DSE using machine learning.
NeuroKiwi is the application of the Associative Model (AM, previously dubbed AMDroid), being a model storing relational change-detections. The application tries to emulate ground-up knowledge accumulation with limited or no prior knowledge of shapes or patterns.
Este projeto objetiva a criação de um Toolbox para utilização de algoritmos de Computação Bioinspirada. O Toobox oferece uma vasta coleção de algoritmos de ferramentas para o projeto de Algoritmos Genéticos e Redes Neurais.
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...Almost full yui2 java api, and other javascript toolkits like raphaeljs, soundmanager2 java api also available..Please visit http://yui4java.sourceforge.net/ for more informatiion. IMPORTANT: This project was a great way of learning how to model YUI API in Java, now I'm focusing on a GWT version of YUI Java API At: http://code.google.com/p/yuigwt/
A java tool for anytime and interactive sequence mining. Aims at providing users with a way of analyzing her activity traces and extract activity schemes from them.
CodEvos aims to reinvent the various aspects of learning how to program by involving the community in each and every example and tutorial posted. CodEvos, social coding, redefined.
Neural Mesh is a purely PHP, fast, easy Neural Network Manager, Administrator and Framework. It allows you to integrate Artificial Intelligence into your applications, quickly and easily, no matter what your experience.
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Neuroph OCR - Handwriting Recognition is developed to recognize hand written letter and characters. It's engine derived's from the Java Neural Network Framework - Neuroph and as such it can be used as a standalone project or a Neuroph plug in.
This program generates customizable hyper-surfaces (multi-dimensional input and output) and samples data from them to be used further as benchmark for response surface modeling tasks or optimization algorithms.
This project is aimed at making a complete flexible Neural network library in Java. The library works fine with most complex problems.Future targets: Configurable Learning rate and momentum. More details at http://www.w3avatar.com
Grevis is a Linux graphical tool for learning and debugging the Perl regular expressions. It uses the output of the regular expression debugger (as of version 5.8.10) to obtain data needed to visualise the matching process step-by-step.
Computer System for Adaptive Intelligent Life :: seeks to create a software system that is capable of learning. The project's ultimate goal is to further the ability of software to both adapt to individual users, and to respond their needs.
Extensible framework that enables productive design, analysis, and execution of arbitrary-sized neural-networks or system on a distributed, scalable, high-throughput runtime platform. Enables synapse-oriented-programming.
mung is "monitor using ncurses, g++" and it's mostly an experiment for learning about ncurses. It runs in a terminal and displays temperature sensor info in real time on a color scale.
Java Maths library, providing several mathematical functionalities. It is intended to be a project for learning Java, Maths and project related working. This project was started in Course TAI08B1 at www.ba-karlsruhe.de
The project goal is to develop several IP cores that would implement artificial neural networks using FPGA resources. These cores will be designed in such a way to allow easy integration in the Xilinx EDK framework.
This chess program changes its strength to give the best match against you. Eventually it learns to beat you specifically through learning alogirthms. Features included transposition tables and a elementary 3-piece endgame tablebase.