This is the Linux app named YData Synthetic whose latest release can be downloaded as 1.3.1.zip. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS:
YData Synthetic
DESCRIPTION:
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
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/ydata-synthetic.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.