Search Results for "java framework" - Page 4
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Showing 217 open source projects for "java framework"
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The Most Powerful Software Platform for EHSQ and ESG ManagementChoose from a complete set of software solutions across EHSQ that address all aspects of top performing Environmental, Health and Safety, and Quality management programs.
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Rezku Point of SaleRezku is an all-inclusive ordering platform and management solution for all types of restaurant and bar concepts. You can now get a fully custom branded downloadable smartphone ordering app for your restaurant exclusively from Rezku.
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DJDarwin
A Genetic algorithm approach to creating beats.
The program puts beats through evolution - survival, mutations, reproduction. The purpose, in the words of Africa Bambaataa - Looking for the perfect beat. Using a genetic algorithmic framework, the user's taste defines a Beat fitness function - she decides which beats survive and breed, and which join the choir invisible. In addition, the user can easily define an automatic fitness function, put the program on 'autopilot' mode, and let it speed up evolution. Different types of... -
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Java Behaviour Trees is a Java framework for easily building and running generic behaviour trees. Here, "behaviour tree" refers to the technique used to control the behaviour of characters in video games. IMPORTANT NOTE: our source code has been moved to GitHub. You will find it at: https://github.com/gaia-ucm/jbt Note however that all the binary files will still be distributed here at SourceForge.
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DBpedia has moved to GitHub: https://github.com/dbpedia/extraction-framework/wiki The mailing lists are still hosted by SourceForge. DBpedia is a community effort to extract structured information from Wikipedia and to make this information available on the Web. DBpedia allows you to ask sophisticated queries against Wikipedia and to link other datasets on the Web to Wikipedia data.
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Darwin 2: Java Framework for Evolutionary Computation (genetic algorithm, GA). A true framework with out-of-the-box functionality and extensibility of all classes. Interface-based pattern with dependency-injection to configure components.
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AestheticsPro Medical Spa SoftwareAestheticsPro is the most complete Aesthetics Software on the market today. HIPAA Cloud Compliant with electronic charting, integrated POS, targeted marketing and results driven reporting; AestheticsPro delivers the tools you need to manage your medical spa business. It is our mission To Provide an All-in-One Cutting Edge Software to the Aesthetics Industry.
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AdPreqFr4SL
Adaptive Prequential Learning Framework
The AdPreqFr4SL learning framework for Bayesian Network Classifiers is designed to handle the cost / performance trade-off and cope with concept drift. Our strategy for incorporating new data is based on bias management and gradual adaptation. Starting with the simple Naive Bayes, we scale up the complexity by gradually updating attributes and structure. Since updating the structure is a costly task, we use new data to primarily adapt the parameters and only if this is really necessary, do we... -
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MACSY
Modular Architecture for Cognitive Systems
Macsy is a framework for developing modular agents. Data is organised in blackboards. Computations are performed by modules that annotate the data in the blackboards. Modules communicate indirectly through the annotations that they leave in the blackboards. The framework enables the development of decentralised software agents for a plethora of applications. -
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Ms. Pac-Man Framework
Using reinforcement learning with relative input to train Ms. Pac-Man
This Java-application contains all required components to simulate a game of Ms. Pac-Man and let an agent learn intelligent playing behaviour using reinforcement learning and either Q-Learning or SARSA. The framework was developed by Luuk Bom and Ruud Henken, under supervision of Marco Wiering, Department of Artificial Intelligence, University of Groningen. -
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Search Agents - a framework for collaboration of meta-heuristic agents
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Skillfully - The future of skills based hiringSkillfully transforms hiring through AI-powered skill simulations that show you how candidates actually perform before you hire them. Our platform helps companies cut through AI-generated resumes and rehearsed interviews by validating real capabilities in action. Through dynamic job specific simulations and skill-based assessments, companies like Bloomberg and McKinsey have cut screening time by 50% while dramatically improving hire quality.
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JECL, pronounced "Jekyll", is an open-source Java library implementing a variety of evolutionary algorithms. The goal is to provide a uniform interface for describing problems, running evolutionary algorithms, and accumulating results. The Java Evolutionary Computation Library is no longer under active development. We suggest the MOEA Framework (http://www.moeaframework.org/), jMetal (http://jmetal.sourceforge.net/), ECJ (http://cs.gmu.edu/~eclab/projects/ecj/) or JGAP (http://jgap.sourceforge.net/) as alternatives.
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asdnetworks
Framework used to represents English grammars graphically
Augmented Syntax Diagrams (ASDs) provide a framework to represent grammars of natural languages as directed graphs -- that is, as networks of nodes and edges. Nodes represent instances (or usages) of words and phrase types in a language such as English. -
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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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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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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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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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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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Nengo is a suite for building and simulating models of large neural networks. It is based on Eliasmith & Anderson's Neural Engineering Framework, which provides a coherent theory of computation, representation, and dynamics in neural circuits.
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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 be implemented by the framework The front-end classes use Swing and thus can be run via the Web. ... -
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Justhink is a framework for develop artificial intelligence simulations. The Framework provides a simulation software and an API to develop external modules that are plugged into simulation, such as the problem/mission and artificial intelligence modules
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The Swarm Framework was created by the Santa Fe Institute for multi-agent based simulations. The original source code was written in Objective C. This project aims to create a replacement for Swarm bindings for Java which needs native code to work.
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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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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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