Showing 558 open source projects for "java projects on linux"

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  • 1
    jATLAS is a Java implementation of ATLAS [Architecture and Tools for Linguistic Analysis Systems]. For more information, see http://jatlas.sourceforge.net.
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  • 2
    A ContextTree is a way of dynamically forming relationships between information: the same information can be viewed in different ways, depending on what you want from it.
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  • 3
    Pattern recognition software package. It includes several classification and clustering algorithms. It can read data from a set of images, an ASCII file or a JDBC connection. A small TCP data server with its corresponding JDBC driver is included.
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  • 4
    Java port and extension of MLC++ 2.0 by Kohavi et al. Currently contains ID3, C4.5, Naive (aka Simple) Bayes, and FSS and CHC (genetic algorithm) wrappers for feature selection. WEKA 3 interfaces are in development.
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  • 5
    Our project is to create a digraph editing tool modeled and improved upon the current Loop Group PowerPlay software.
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  • 6
    Free java library and configuration generator for OMR Recognition
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  • 7
    JNeuron is an analysis tool for multi-neuronal spike train analysis. The tool will allow scientists to organize their spike train data analysis into projects. The tool will implement standard spike train analysis algorithms and also datamining algorithms
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  • 8
    Alpie implements lp2 [(LP)2, Fabio Ciravegna Univ. of Sheffield] and an extended version of it. The methods in this package can be used to test and verify grammars for different corporas.
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  • 9
    A rather simple java program for parsing plain text files (generally in large numbers), which should then offer frequency statistics of usage, graphs, full-text search and maybe something more.
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  • 10
    This toolkit facilitates easier connections between stored data, intermediate data, and data presented to users in Java applications. The classes are abstracted as much as possible to allow wide use for various types of programs.
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  • 11
    DEAL
    DEAL (Domain Extraction ALgorithm) is an application for domain analysis. Its main purpose is to extract domain information from existing Java applications and to create different kinds of models from the extracted data, including domain-specific languages.
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  • 12
    A tool for analyzing and visualizing open source software evolution
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  • 13
    A "who am i" kind of game which will be written in order to understand and demonstrate the inner workings of expert systems.
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  • 14
    Barcode API to scan image files and acquire bar codes in 1-D format (EAN 13, Code39 and Code128)
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  • 15
    A numerical library designed for n-dimensional image-processing written in Java.
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  • 16
    A web-based experiment presenting system to present images to subjects along with a question and to record their responses
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  • 17
    Data Mining in Time Series
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  • 18
    A little information retrieval engine coded from the scratch.
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  • 19
    RunAsApproximator es un programa java multilenguaje que implementa algoritmos numéricos. Los datos de entrada son aquellos requeridos por cada algoritmo y los de salida son resultado final y los datos intermedios necesarios para alcanzar su resolución.
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  • 20
    A tool to collect problem information, develop hypothesis, create research, and influence policy.
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  • 21
    Server/Client System for managing a Scientific Journal. Cross platform wxWidgets based.
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  • 22
    The ROSE reasoner is used to for reasoning with RDFS ontologies and currently supports the RDF, RDFS and eRDFS entailment regimes. An online demo of the RDFS Reasoner can be found here: http://tools.deri.org/rdfs-reasoner/
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  • 23
    fedg extracts knowledge and relevant events in chinese texts to generate Feature Event Dependency Graph.FEDG is a knowledge representation model,meaningful for latent knowledge discovery and efficient reasoning.
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  • 24
    SquidPCB is a pornography content filter designed to be used with the Squid-cache proxy server.
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  • 25
    Application to automatically merge gedcom files. It provides either a user or another program the ability to merge gedcom files with as little human interaction as possible and with high quality of matching results.
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