ydata synthetic

We have hosted the application ydata synthetic in order to run this application in our online workstations with Wine or directly.

Quick description about ydata synthetic:

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. 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.

Features:

• UI guide for synthetic data generation
• Train a synthesizer model
• Generate & profile synthetic data samples
• Datasets for you to experiment
• Synthetic data is artificially generated data that is not collected from real world events
• A package to generate synthetic tabular and time-series data

Programming Language: Python.
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