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OpenNeuron is a neural networks implementation written in Java. Currently supports only Kohonen Network model, but API is designed to be easily extended to model other network types. This implementation was used for face thermal pictures recognition.
Random Projection Trees is a recursive space partitioning datastructure which can automatically adapt to the underlying (linear or non-linear) structure in data. It has strong theoretical guarantees on rates of convergence and works well in practice.
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The goal of this project is to build a co-occurrence network using google n-gram data. This project presents an easy and fast way to analyze Google n-gram data, which is contributed by Google Inc in 2006.
The classes in stdfuncs.inc.php provide general functions you can use while developping a PHP Application / Website or whatever. - Debugging - Time measurment - Sorting and Grouping - JSON Encoding - XML-Reading - FileSystem - Date handling
!!! The project has been renamed to "libanculus-sharp" and has been moved to googlecode : http://code.google.com/p/libanculus-sharp/ !!! LibCommon is a reusable library written in C#. It runs on Mono 1.2 or higher and .NET 2.0 or higher. It provides an
CGL(C Generic Library) is a stl-like library written in pure C.It implements iterators, memory management,generic containers such as list,map, generic algorithms such as sort() and search(),and it can manipulate any types of data.
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The below is a list of all files released for the Crossbow's MNAV100CA with SPB400. This framework may provide a complete solution for AHRS, Navigation, WiFi Comm, and Data Logging, for various robotic applications.
Matho is a OS Independant Application and API for mathematical operations, features include curve sketching, calculus, iterative formulae, algebra solver, 2d/3d geometry and mechanical and statistical functionality.
OpenDiscreteDynamicProgrammingTemplate : founds optimal constrainted parameters of a discrete controls with second order optimization template replacing Hessian with directional derivatives and backpropagation for digital filter(as neural network)
The Automatic Model Optimization Reference Implementation, AMORI, is a framework that integrates the modelling and the optimization processes by providing a plug-in interface for both. A genetic algorithm and Markov simulations are currently implemented.
A simple PHP parser class that scans through poorly formed html documents as if they were valid XML, and generates calls to customizable callback functions.
USPS One Code - Intelligent Mail Barcode (4-State Customer Barcode) - encoder implementation with VS 2008. Source code in C# and VB.NET and binaries for .NET (1.1, 2.0 and 3.5), .NET CF (2.0 and 3.5) and Mono (1.* and 2.0).
An academic project where computer-science students can practice data structures principles. Based on the famous problem of the labyrinth rat, this application has an engine where you can run your own algorithms to help the robot to get out of the laby.
The first stage of development is do write a tool to anonymize packet capture files captured with libpcap. After that we will be integrating this with tcpdump to anonymize in real-time and analyze and look for its effect on different IDS's.
Magic Fixed Point, it's an library that abstracts the use of fixed point math for environments that doesn't have floating point operations or in places that you don't want to use the traditional floating point operations.
‘intelliworm’ is a prototype simulation of a Intelligent Species of a common earth worm,which inherits human like decision making capabilities through Neural Network intelligence representation,all developed by integrating .NET with Lisp and Yacc.
A package of Rijndael, Twofish and Serpent encryption algorithms implemented in x86 assembly. Meant to learn basics of assembly, learn about the algorithms or to be used in a C program.
This project aims to create an open source genetic algorithms (GA) library for the IBM Cell BE processor. A well-documented implementation of GAs is provided, along with a number of sample fitness functions illustrating how to use the GA library.
A Common Lisp library for representing and manipulating graphs. Algorithms implemented: subgraph isomorphism (Ullman), automorphism, canonicalization (Nauty), connected-components/union-find.