5 projects for "multi" with 2 filters applied:

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  • 1
    Jam--Nuclear Physics Data Acquisition

    Jam--Nuclear Physics Data Acquisition

    Java-based nuclear physics data acquisition.

    This project now lives at https://github.com/dwvisser/jam-daq-code/ Jam is an easy-to-use self-contained data acquisition and analysis system for VME-based (or CAMAC-based) nuclear physics experiments. Jam has an easy, standard GUI for taking and sorting multi-parameter event-based data into 1-d and 2-d histograms.
    Downloads: 0 This Week
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  • 2

    PyLogAnalyser

    A Python multiplatform tool to filter, colorise and analyse logs

    PyLogAnalyzer is a tool that receives an input log in black and white, a configuration INI file, which contains the list of rules to process the input, and an output file where to save the results. These rules permit to detect an input line according to a regular expression (regex) or line number range, filter it, pass it, colorise in foreground and background, columnise the groups of the regex and enable or disable the rule. The final goal of this tool is to ameliorate reading long and...
    Downloads: 0 This Week
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  • 3

    DRAMMS

    A Deformable Medical Image Registration Toolbox

    ...Released by Section of Biomedical Image Analysis (SBIA) at the University of Pennsylvania. Some typical applications of DRAMMS include, -- Cross-subject registration of the same organ (can be brain, breast, cardiac, etc); -- Mono- and Multi-modality registration (MRI, CT, histology); -- Longitudinal registration (pediatric brain growth, cancer development, mouse brain development, etc); -- Registration under missing correspondences (e.g., vascular lesions, tumors, histological cuts). DRAMMS runs in command line in UNIX/Mac OS, It accepts Nifti/ANALYZE/MetaImage image formats. ...
    Downloads: 13 This Week
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  • 4
    Proper is a propositionalization framework written in Java containing several algorithms for generating propositional (and also multi-instance) data from relational databases. It produces data that can be used by the WEKA machine learning workbench.
    Downloads: 1 This Week
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  • 5
    Machine learning toolkit for unsupervised and semi-supervised clustering that demonstrates excellent results on real-world data (see Bekkerman et al. ICML-2005 and ECML-2006).
    Downloads: 0 This Week
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