Showing 6 open source projects for "scientific"

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  • 1
    Twinify

    Twinify

    Privacy-preserving generation of a synthetic twin to a data set

    ...For the latter, twinify also offers automatic modeling for easy building of models fitting the data. If you have existing experience with NumPyro you can also implement your own model directly. Often data that would be very useful for the scientific community is subject to privacy regulations and concerns and cannot be shared. Differentially private data sharing allows generating of synthetic data that is statistically similar to the original data.
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  • 2

    rpackage conjurer

    Synthetic data generation using R

    Builds synthetic data applicable across multiple domains. This package also provides flexibility to control data distribution to make it relevant to many industry examples.
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  • 3
    Ava: Testdata Xsl

    Ava: Testdata Xsl

    generates Testdata on base of excel: creates xml,excel,csv,html,sql,+

    this tool for test-data-generation receives an 'excel-sheet' as primary input. second important paramter is the 'number of test-records to produce'. The excel-data will be reused as long data is needed. This tool is hightly paramatrisazable by the use of 'xsl scripts'. data can be created, updated, modified and finally exported in a format of your choice Main Fuctions: (1) Generates Testdata (excel, xsl, xml) (2) Exports generated testdata in multiple formats (csv, excel, html,...
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  • 4
    This software allows for a user to generate test data. This is useful for testing Hadoop or other data processing clusters.
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  • 5
    JRandO is a test data generator or better test object generator framework. It can be used in JUnit tests or in performance test (for e.g. using JMeter). It may also be useful in anonymization of data or in a simulation environment.
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  • 6
    Sample code for JRandO project. (testdata generator, test data generator, test object generator, simulation)
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