Show HN: Augmenting tabular data with SDV to improve ML results

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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  • HR-Attrition

    Discontinued Will they stay or will they go? Predicting whether employees will leave + why.

  • SDV

    Synthetic data generation for tabular data

  • For those wanting to learn more about it, SDV can be found here: https://github.com/sdv-dev/SDV

    SDV (The Synthetic Data Vault) is an ecosystem of Open Source Python libraries and tools for Synthetic Data Generation that works with single-table, multi-table and time-series data. One of the use cases of Synthetic Data is data augmentation for machine learning models, as shown in the example posted, but it also enables a multitude of other use cases such as privacy preserving methods for sharing data or the generation of data for software testing. More resources, tutorials and documentation can be also found here: https://sdv.dev

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    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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