Search Results for "algorithms framework" - Page 12

This project implements the "fifteen puzzle", but it has a twist: the program can solve the puzzle perfectly. The project contains a simple JAVA framework that implements heuristic goal-seeking algorithms. We use this to search for the best solution, but the framework is general-purpose and can be used for similar one-person puzzles. Using this framework will allow developers to focus on a specific domain of interest, while leaving many of the AI concepts and goal-searching concepts to be implemented by the framework The front-end classes use Swing and thus can be run via the Web. ...

Java framework to easily implement optimization problems based on evolutionary algorithms or evolution strategies and execute them in Hadoop clusters.

DOGMA is a MATLAB toolbox for discriminative online learning. It implements all the state of the art algorithms in a unique and simple framework. Examples are Perceptron, Passive-Aggresive, ALMA, NORMA, SILK, Projectron, RBP, Banditron, etc.

A framework built on Berkley's Ptolemy. Runs a variety of bit width optimization algorithms and suggests bit widths. Includes parsers for simulink and system generator.

iGesture is a Java-based gesture recognition framework providing access to multiple gesture recognition algorithms and different input devices. The iGesture Workbench supports the definition and evaluation of customised gesture sets and algorithms.

PSF is a path-sensitive, inter-procedural program analysis framework developed on top of Soot.

ProViz is a program visualization framework for Java. It is built as a plugin to the Eclipse IDE. (We are getting close to publishing resources and making this project distributable. Stay tuned!) A video demo: http://www.youtube.com/watch?v=BsoK1n-OM

Sleepwalker aims to provide a highly abstract, universal, reusable, extensible Java-based genetic algorithms framework which can be used as a basis for modelling and programming virtually any practical optimisation problem.

Emulica provides manufacturing control engineers and researchers with generic modeling components to build industry-scale virtual (emulated) shop floor systems, and thus test control approaches.

X-GAT (XML-based Genetic Algorithm Toolkit) is a Java framework to optimize problems with Genetic Algorithms (GAs). Differently from other frameworks, X-GAT contains ready-to-use GAs implementations and new features can be easily added.

An implementation of the 'Provider' pattern for .NET 1.1 framework, plug in installation support, and generic entity model base classes capable of binding to a user interface.

A logging framework that exposes a single log api to clients. Applications can configure the implementation, including filtering options using the provider pattern support in the xqs-provider project.

CryptAPI is a C# library that contains unimplemented algorithms in the .NET framework (NT, NTLM, BlowFish, DES and MD5) linking and emulating the crypt() unix function re-programmed in C#. The main purpose is to provide backward compatiblity.

Based on the introduction of Genetic Algorithms in the excellent book "Collective Intelligence" I have put together some python classes to extend the original concepts.

A comparative map and trait visualization framework enabling visual integration of genomic data from disparate data sources and allowing rich client-side interactivity and manipulation. Extensible through plugins for new datasources and algorithms.

Gearbox provides a collection of usable peer-reviewed robotics-related libraries. Gearbox is not an integration framework. Rather, it provides a set of implementations, without insisting on a standard API, for use by any number of existing frameworks.

A base set of libraries. Boilerplate type code and algorithms. Currently skuttil (Java util & parsing code) and searKit (generic Java search framework).

Cyberinfrastructure Shell (CIShell) is an open source, community-driven framework/application for the integration and utilization of datasets, algorithms, tools, and computing resources. Algorithms can be integrated using most programming languages.

Currently, all existing formal tools are designed to serve as formal verifiers, using one implementation or another. JTLV is a new tool aimed to facilitate and provide a unified framework to the development of formal verification algorithms.

The Vision Analysis Toolkit provides a framework for the development of computer vision algorithms using arbitrary named channel containers, flexible data types, and 1/2/3-D buffers.

WSNSim is a simulation framework that allows evaluation of various algorithms on a common platform. The simulator comes pre-equipped with LEACH, HEED and SNIPER clustering and routing algorithms.

Open BEAGLE is a C++ Evolutionary Computation (EC) framework. It provides an high-level software environment to do any kind of EC, with support for tree-based genetic programming; bit string, integer-valued vector, and real-valued vector genetic algorithms; and evolution strategy. The Open BEAGLE architecture follows strong principles of object oriented programming, where abstractions are represented by loosely coupled objects and where it is common and easy to reuse code. ...

Channel is a C++ framework for distributed message passing and event dispatching, configurable with its components (msg ids,routing algorithms...) as template parameters. As a namespace shared by peer threads, channel supports scope control and filtering

weka outlier is an implementation of outlier detection algorithms for WEKA. CODB (Class Outliers: Distance-Based) Algorithm is the first algorithm developed using WEKA framework.

The name stands for ensemble learning framework. It is a collection of machine learning algorithms for classification and regression with the possibility of connecting them together via ensemble learning. It is written in C++.