Showing 2 open source projects for "model-builder"

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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: 2 This Week
    Last Update:
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  • 2

    AutoBench

    This program is a benchmark site data extraction util program

    This program is a program that extracts the latest CPU, GPU, Drive and RAM performance scores and rankings from benchmark sites. The Output Data is saved as a csv, xlsx and xls file. CPU information is written by model name and score. GPU information is written by model name and score. Drive information is written by model name and score. RAM information is written by model name and score.
    Downloads: 0 This Week
    Last Update:
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