Showing 8 open source projects for "java-decompiler.jar"

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  • 1
    This project will be a project that will be used by Speleologist (cavers) to help aid in the mapping of the underground world. It will be simple at first.. only allowing the entry of survey (dist/azmith/V-angle) and give back a line plot..
    Downloads: 0 This Week
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  • 2
    Virtual Math Teams
    The Virtual Math Teams (VMT) Project (vmt.mathforum.org) at the Math Forum enables K-12 math collaborative learning, professional development of educators, & group cognition research. VMT is now integrated with GeoGebra (http://www.geogebra.org/).
    Downloads: 0 This Week
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  • 3
    The Systems Biology Ontology project (SBO) goal is to develop controlled vocabularies and ontologies tailored specifically for the kinds of problems being faced in Systems Biology, especially in the context of computational modeling. !!!! Important Announcement !!!! We have moved the curation and development of Systems Biology Ontology (SBO) to a git-hub repository https://github.com/EBI-BioModels/SBO. Hence, this SourceForge SBO project has also been retired. Please use the Git-Hub...
    Downloads: 0 This Week
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  • 4
    Mark Six Analyst is a database of Hong Kong Lottery or so-called Mark Six. It provides a tool of various statistics method to show relationships between data and forecasts.
    Downloads: 0 This Week
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  • 5
    Wiki system engine that offers support for writing mathematics articles in physics, mathematics, biology, astronomy. Wiki engine is based on java servlet, java JSP technologies that offers variaty of platform independent features.
    Downloads: 0 This Week
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  • 6
    A full math Java class library containing complex functions and algorithms such as cubic-spline interpolation, least squares, matrix computations. Eventually to make a web based interface to the library using JSP.
    Downloads: 0 This Week
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  • 7
    An online judge system to judge the ACM-ICPC programming contests.
    Downloads: 0 This Week
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  • 8
    Data Mining Platform is a platform for data mining and analysis. It contains many of the new and sophisticated methods such as kernel-based classification, two-way clustering, bayesian networks, pattern recognition for time series analysis and many other
    Downloads: 0 This Week
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