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

    YData Synthetic

    Synthetic data generators for tabular and time-series data

    ...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. Several example Jupyter Notebooks and Python scripts are included, to show how to use the different architectures. YData synthetic has now a UI interface to guide you through the steps and inputs to generate structure tabular data. The streamlit app is available form v1.0.0 onwards.
    Downloads: 1 This Week
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  • 2
    HyperGAN

    HyperGAN

    Composable GAN framework with api and user interface

    A composable GAN built for developers, researchers, and artists. HyperGAN builds generative adversarial networks in PyTorch and makes them easy to train and share. HyperGAN is currently in pre-release and open beta. Everyone will have different goals when using hypergan. HyperGAN is currently beta. We are still searching for a default cross-data-set configuration. Each of the examples supports search. Automated search can help find good configurations. If you are unsure, you can start with...
    Downloads: 1 This Week
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