Search Results for "java framework" - Page 2
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Showing 54 open source projects for "java framework"
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A Java collections framework based on set theory, specifically, from Spivey's work on the Z notation (a formal specification language).
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Are Plain Old Java Objects (POJOs) to complex? The aim of this framework is, to convert JavaBeans (complex Java-Object graphs) in a simplified representation (JSON, XML, CSV or other object structures) or handle and control access to JavaBean properties.
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Framework: Project for Evolutionary Predator Prey Algorithms, used to implement an evolutionary scheme based on the developement by van Laumanns. Implement testproblems, special behaviours, environments, and other yet not known features.
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Aleph is both a multi-platform machine learning framework aimed at simplicity and performance, and a library of selected state-of-the-art algorithms.
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The Spiffy framework is a collection of often used helper methods and utility classes used in industry. Such methods and classes solves existing and re-ocuring practical problems and remedies annoying features of the Java language.
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Combean is a Java framework for mathematical structures and optimization algorithms. Through a set of Java interfaces and JavaBeans-based config, Combean glues optimization codes together - leading to more interoperable, adaptable and flexible solutions.
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The Open Optimization for Java provides a framework and the implementation of commonly-used algorithms found in Graph Theory and Network Optimization, e.g. shortest path and postman problem.
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Theba is a plugin-based image analysis framework for segmentation of and measurements on 3D and 2D images. Theba has a nice GUI that allows inspection and manipulation of the image and a wide range of plugins including segmentation.
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Sinalgo is a simulation framework for testing and validating network algorithms. It allows for quick prototyping and verification in freely customizable network settings. It is mainly suited for packet-oriented wireless networks.
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The Free Connectionist Q-learning Java Framework is an library for developing learning systems. Keywords: qlearning, artificial intelligence, alife, neural nets, neural networks, machine learning, reinforcement learning unsupervised learning agents lejos
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Provides a framework to allow multiple components of a program communicate through a singular interface.
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The Gene Expression Programming Framework in Java. It separates the process of evolution from the process of interpretation of the chromosome, allowing the use of various schemes in the chromosome.
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Java Framework for automatic transformation of graph structured Process Models (incl. BPMN import) to block structured BPEL code. A graphical tool is provided for visualisation and testing.
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JCortex is a complete solution that allows software developers create, educate and use Artificial Neural Networks in Java projects. Splits in two elements: JCortex Framework, an ANN Java framework; and JCortexBuilder, its graphic development environment.
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The Distributed Genetic Programming Framework is a scalable Java genetic programming environment. It comes with an optional specialization for evolving assembler-syntax algorithms. The evolution can be performed in parallel in any computer network.
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The Catalsyt Framework is a refinement on the MVC framework. It provides greater focus on user business workflow rather than application workflow. It's goal is to enable business analysis and developers to work closer.
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NESD-Imaging is a 2D rendering framework for Java. It combines JAI and Java2D and extends them by providing lazy rendering (do not block UI). It provides geo-positionned images rendering (à la google-map). It scales well to large image set (>500GB).
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Currently, all existing formal tools are designed to serve as formal verifiers, using one implementation or another. NO tool is providing a global framework to develop algorithms. Silicis is a new formal framework for designing [verification] algorithms.
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Galapagos is a Genetic Algorithm framework written in Java 5 with the intended audience of undergraduates in an Artificial Intelligence class. The goal of Galapagos is usability: a competent student should be able to learn this library in an afternoon.
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Simple genetic programming framework. Features a robust set of interfaces and standard implementations for rapid development and ease of experimentation.
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MAIF is developed in Java 5 (especially Generics) and aims at building AI algorithms, by concentrating onto the mapping of real-world problems, while abstracting from their inner working. It can be extended with new algorithms and problem representations.
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A Java framework to create multi-threaded dispatching applications. It is a framework that realizes an application pattern that often appears while creating business applications.
