Data-Centric-AI-Community/fg-data-synthetic
A Python package that generates synthetic tabular and time-series datasets using GAN architectures like CTGAN.
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This repository provides synthetic data generation for machine learning using state-of-the-art generative models. It implements GAN-based architectures including CTGAN for conditional tabular data generation, as well as Gaussian Mixture models for faster synthesis without GPU requirements. The package includes a Streamlit UI for low-code synthetic data generation and supports both PyTorch and TensorFlow2 backends.
Frequently asked
- What is Data-Centric-AI-Community/fg-data-synthetic?
- A Python package that generates synthetic tabular and time-series datasets using GAN architectures like CTGAN.
- Is fg-data-synthetic open source?
- Yes — Data-Centric-AI-Community/fg-data-synthetic is open source, released under the MIT license.
- What language is fg-data-synthetic written in?
- Data-Centric-AI-Community/fg-data-synthetic is primarily written in Jupyter Notebook.
- How popular is fg-data-synthetic?
- Data-Centric-AI-Community/fg-data-synthetic has 1.6k stars on GitHub.
- Where can I find fg-data-synthetic?
- Data-Centric-AI-Community/fg-data-synthetic is on GitHub at https://github.com/Data-Centric-AI-Community/fg-data-synthetic.