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Generative Adversarial Networks (GAN) Python Clear Filters & Widen Search
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    YData Synthetic

    YData Synthetic

    Synthetic data generators for tabular and time-series data

    A package to generate synthetic tabular and time-series data leveraging state-of-the-art generative models. Synthetic data is artificially generated data that is not collected from real-world events. It replicates the statistical components of real data without containing any identifiable information, ensuring individuals' privacy. This repository contains material related to Generative Adversarial Networks for synthetic data generation, in particular regular tabular data and time-series. It consists a set of different GANs architectures developed using Tensorflow 2.0. ...
    Downloads: 0 This Week
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