Showing 4 open source projects for "virtual windows machine"

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    SDGym

    SDGym

    Benchmarking synthetic data generation methods

    ...Select any of the publicly available datasets from the SDV project, or input your own data. Choose from any of the SDV synthesizers and baselines. Or write your own custom machine learning model. In addition to performance and memory usage, you can also measure synthetic data quality and privacy through a variety of metrics. Install SDGym using pip or conda. We recommend using a virtual environment to avoid conflicts with other software on your device.
    Downloads: 5 This Week
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  • 2
    Zylthra

    Zylthra

    Zylthra: A PyQt6 app to generate synthetic datasets with DataLLM.

    Welcome to Zylthra, a powerful Python-based desktop application built with PyQt6, designed to generate synthetic datasets using the DataLLM API from data.mostly.ai. This tool allows users to create custom datasets by defining columns, configuring generation parameters, and saving setups for reuse, all within a sleek, dark-themed interface.
    Downloads: 1 This Week
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  • 3
    Synthetic Mixed Data Generator
    A Synthetic Data Generator for producing mixed datasets described by relevant, irrelevant, and redundant features.
    Downloads: 0 This Week
    Last Update:
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  • 4

    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.
    Downloads: 0 This Week
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