48 projects for "java rad framework" with 2 filters applied:

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  • 1
    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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  • 2
    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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  • 3
    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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  • 4
    sdf4j is a Java framework to manipulate Static Dataflow graphs (SDF).
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  • 5
    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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  • 6
    A Graph support extension to the java.util collections framework.
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  • 7
    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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  • 8
    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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  • 9
    Provides a framework to allow multiple components of a program communicate through a singular interface.
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  • 10
    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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  • 11
    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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  • 12
    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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  • 13
    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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  • 14
    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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  • 15
    A framework for utilising the Genetic Algorithm in the domain of Game Theory
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  • 16
    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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  • 17
    Simple genetic programming framework. Features a robust set of interfaces and standard implementations for rapid development and ease of experimentation.
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  • 18
    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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  • 19
    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.
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  • 20
    A java framework for developing meta-heuristics that supports the use of grids environments. The meta-heuristics planned to be realeased are GAs, VNS and NNs. The grid middleware that will be firstly explored is the OurGrid solution.
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  • 21
    This is a cross-platform framework for using Genetic Algorithms for solutions. Written in Java and uses convinient plug-in features for every phase in the genetic development, while maintaining an easy-to-use API for easy integration into applications.
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  • 22
    Procedural content generation of deterministic and complex entities, with properties and other entities inside, defined by an editable XML file, along with a framework to simulate actions, compositions, and interactions of entities.
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  • 23
    Web-Service for discrete dynamic systems' model description and simulation. Firstly, recursive procedures of stochastic optimization are added. The framework for open and closed loop model description and simulation.
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