Showing 3 open source projects for "process"

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    SDGym

    SDGym

    Benchmarking synthetic data generation methods

    ...The SDGym library integrates with the Synthetic Data Vault ecosystem. You can use any of its synthesizers, datasets or metrics for benchmarking. You also customize the process to include your own work. 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. ...
    Downloads: 0 This Week
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  • 2
    Feathr

    Feathr

    A scalable, unified data and AI engineering platform for enterprise

    Feathr is a data and AI engineering platform that is widely used in production at LinkedIn for many years and was open sourced in 2022. It is currently a project under LF AI & Data Foundation. Define data and feature transformations based on raw data sources (batch and streaming) using Pythonic APIs. Register transformations by names and get transformed data(features) for various use cases including AI modeling, compliance, go-to-market and more. Share transformations and data(features)...
    Downloads: 1 This Week
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  • 3
    AMB Data Profiling Data Quality
    AMB New Generation Data Empowerment - offers a comprehensive approach to data governance needs with ground breaking features to locate, identify, discover, manage and protect your overall data infrastructure. Repeatable Process/Exposed Repository.
    Downloads: 0 This Week
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