Showing 59 open source projects for "java task tracker"

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  • 1
    JChemPaint Applet and Swing Application
    The JChemPaint Applet and Swing Application are Java programs for drawing 2D chemical structures like those found in most chemistry textbooks. It is based on the Chemistry Development Kit (cdk.sf.net). Downloads, tracker, and source code repository can be found on https://jchempaint.github.io
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  • 2
    SB-MASE is aimed at students and researchers in AI, for simulation and control of agents and robots. It uses task based decomposition and the subsumption architecture as its core control mechanisms and includes numerous possibilities for adding plug-ins.
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  • 3
    Track This! Hurricane Tracker is Java/Swing based project for weather enthusiasts and the like to help during Hurricane season. I have not seen a solid "free" hurricane tracker yet this is an important piece of software.
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  • 4
    Demetrix is a Java-based process modelling system. The goal of the project is to develop a flexible framework for managing complex process models using Petri-Net-oriented methodologies (state-task networks and resource-task networks).
    Downloads: 0 This Week
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  • 5
    To provide a bunch of useful applications for daily use. The first of those applications was donated by NIH\'s DECA, it\'s called REX and is a Request/Bug tracker. All applications will be Struts 1.1 and greater based.
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  • 6
    this java project creates a simple user interface with some basic statistical tools to access the Eye Express(tm) Eye tracker hardware. Including serial port access, etc.
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  • 7
    The Cryptix ASN.1 Kit aims at facilitating the task programmers face in coding, accessing and generating java-bound, both types and values, defined as ASN.1 constructs, or encoded as such.
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  • 8
    A comprehensive meal planner and diet calculator, including custom goals for any nutrition type, custom graphs and reports.
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  • 9

    Supertagger

    Software for assigning supertags.

    Supertagging is a process of statistical lexical disambiguation, preprocessing step to parsing, which assigns LTAG tree categories to the lexical items present in the input sentence. Thus, if the input sentence is in the form of a dependency tree, the task of the supertagger is to assign the most probable TAG family to each node and edge in the dependency tree.
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