Search Results for "mac framework" - Page 45
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Showing 1291 open source projects for "mac framework"
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Asteroid
A CBLS Engine in SCALA, NOW part of OscaR
Asteroid has been merged with Scampi, to give rise to OScar. Follow us on https://bitbucket.org/oscarlib/oscar/wiki/Home Asteroid offers a powerful framework for developing constraint-based local search solution to combinatorial problems. This technique provides good scalability to real-world problems. It includes a library of standard constraints and invariants to declaratively define the problem you want to solve, and it also provides powerful search mechanisms. -
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JBoost is a simple, robust system for classification. JBoost contains implementations of several boosting algorithms in an alternating decision tree framework. In addition, JBoost provides extensible software for adding more learning algorithms.
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EpochX is an open source genetic programming framework, specifically for analysing the properties of evolutionary automatic programming. It supports 3 popular representations - Strongly-Typed GP, Context-Free Grammar GP and Grammatical Evolution.
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MadeNLP
Multi-agent Development Environment for Natural Language Processing
Multi-agent Development Environment for Natural Language Processing Java Based System Development framework -
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R. is a GNU/GPL licensed framework for transporting data residing in RDB into the Semantic Web, which provides a friendly GUI, as well as enough expressivity for creating RDF dumps of RBD data. Video: http://www.youtube.com/watch?v=pk7izhFeuf0
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It's an object-oriented library written in C++ for creating arbitrary kind of neural networks. The user can use the classes provided to create neural network with arbitrary topology and mixed type of neurons. It's very easy add custom neurons.
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PoleBalancing2D
Q-Learning Framework with example application
This is a small framework for Q(0) with a feedforward-neural net. The example application is a agent in 2D, which learns to balance a pole. -
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Bamboo Engine
Game framework on top of Python, Panda3D and Twisted
Bamboo intends to be a complete end-to-end game framework for client/server applications using Twisted for data exchange, Panda3D for rendering and coded in Python. Support for PyPy/CPython may be considered at a later point. An Extreme/Agile Development model is in use to allow for emergent design (IE: changing requirements). Release is updated whenever a feature is added and all tests pass cleanly 100% -
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Wir entwickeln ein Framework für agentenbasierte Spiele. Wir machen das im Rahmen des Kurses "Simulationstechniken" des Fachs AI an der FHTW.
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Four In Row Arena
Implement your player strategy and compete with other strategies.
A generic framework for Four in A Row or Five In A Row or X In A Row game, with the possibility to develop different strategies and compare them in tournaments. To implement more players, create new class inherited from PlayerStrategy, and implement the move() method to chose best move, by utilizing different methods provided with Table object. -
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A multi-agent architecture for building interactive dramas. It uses the Jason's BDI engine, being the Jason's agent-oriented programming language utilized for performing the drama management and for authoring behaviors for the characters.
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This project provides a framework for testing and comparing different machine learning algorithms (particularly reinforcement learning methods) in different scenarios. Its intended area of application is in research and education.
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A toolkit for the optical recognition of Psaltiki 19th century music notation. It is based on and requires the Gamera document image analysis framework (http://gamera.sf.net).
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Heuristic Goal-seeking Framework
Fifteen puzzle, with its own goal-seeking to find the best solution
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... -
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This project is devoted to the creation of an open source Error-Correcting Output Codes (ECOC) library for the Machine Learning community. The ECOC framework is a powerful tool to deal with multi-class categorization problems.
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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.
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This project is a complete cross-platform (Windows, Linux) framework for Evolutionary Computation in pure python. See the project site at http://pyevolve.sourceforge.net or the blog at http://pyevolve.sourceforge.net/wordpress
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Ontology MApping FRAmework Toolkit allows to create semantic relations between two (source and target) ontologies, and apply such relations in translating source ontology instances into target ontology instances.
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Libface is a cross platform framework for developing face recognition algorithms and testing its performance.
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RoboBeans is an interface to the "Robocup 2D Soccer Simulation Server" that allows developers to write Robocup teams\agents concentrating on behaviour and AI without having to worry about syntax of communication or network issues.
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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.
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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.
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This project provides a java implementation of the Captcha project ( see http://www.captcha.net ). A CAPTCHA is a program that can generate and grade tests that: -Most humans can pass. -Current computer programs can't pass.
