We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.
☆565Mar 29, 2026Updated 2 weeks ago
Alternatives and similar repositories for Tabular-data-generation
Users that are interested in Tabular-data-generation are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Conditional GAN for generating synthetic tabular data.☆1,541Mar 30, 2026Updated last week
- Generative adversarial training for generating synthetic tabular data.☆296Nov 26, 2022Updated 3 years ago
- Generating Tabular Synthetic Data using State of the Art GAN architecture☆82Apr 29, 2020Updated 5 years ago
- tableGAN is a synthetic data generation technique (Data Synthesis based on Generative Adversarial Networks paper) based on Generative Ad…☆154May 1, 2019Updated 6 years ago
- Evaluate real and synthetic datasets against each other☆92Jul 28, 2025Updated 8 months ago
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Benchmarking synthetic data generation methods.☆305Apr 1, 2026Updated last week
- Official git for "CTAB-GAN: Effective Table Data Synthesizing"☆94Jan 19, 2024Updated 2 years ago
- nbsynthetic is simple and robust tabular synthetic data generation library for small and medium size datasets☆69Feb 22, 2023Updated 3 years ago
- Synthetic data generators for tabular and time-series data☆1,620Mar 2, 2026Updated last month
- Repository for the results of my master thesis, about the generation and evaluation of synthetic data using GANs☆45Jun 21, 2023Updated 2 years ago
- Synthetic data generation for tabular data☆3,463Updated this week
- Official GitHub for CTAB-GAN+☆85May 14, 2024Updated last year
- ☆68Dec 8, 2022Updated 3 years ago
- Directed Acyclic Tabular GAN (DATGAN) for integrating expert knowledge in synthetic tabular data generation☆18Oct 19, 2024Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- Creating tabular GAN on credit card dataset☆20Apr 29, 2020Updated 5 years ago
- Synthetic Data Generation for mixed-type, multivariate time series.☆122Feb 23, 2026Updated last month
- Implementation of TabTransformer, attention network for tabular data, in Pytorch☆1,071Jan 8, 2026Updated 3 months ago
- PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf☆2,932Oct 23, 2024Updated last year
- DeltaPy - Tabular Data Augmentation (by @firmai)☆557Sep 19, 2023Updated 2 years ago
- A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.☆651Feb 11, 2026Updated 2 months ago
- Using Generative Adversarial Networks (GANs) algorithm to detect outliers on tabular data☆13May 15, 2019Updated 6 years ago
- Metrics to evaluate quality and efficacy of synthetic datasets.☆258Updated this week
- ☆21Apr 2, 2024Updated 2 years ago
- NordVPN Threat Protection Pro™ • AdTake your cybersecurity to the next level. Block phishing, malware, trackers, and ads. Lightweight app that works with all browsers.
- ☆109Mar 24, 2023Updated 3 years ago
- ☆10Mar 14, 2022Updated 4 years ago
- TensorFlow 2 implementation of Wasserstein Conditional GAN with Gradient Penalty (WCGAN-GP) for synthetic data generation☆21Jan 31, 2022Updated 4 years ago
- A library of Reversible Data Transforms☆133Updated this week
- A novel approach for synthesizing tabular data using pretrained large language models☆353Feb 9, 2026Updated 2 months ago
- ☆24Aug 19, 2024Updated last year
- A unified framework for Deep Learning Models on tabular data☆1,648Mar 24, 2026Updated 2 weeks ago
- A suite of auto-regressive and Seq2Seq (sequence-to-sequence) transformer models for tabular and relational synthetic data generation.☆244Jan 4, 2026Updated 3 months ago
- Repository for code release of paper "Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data" (AISTATS 2020)☆48Mar 6, 2020Updated 6 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- Sample code for VAEM: a Deep Generative Model for Heterogeneous Mixed Type Data☆19Mar 7, 2021Updated 5 years ago
- A collection of scripts to quickly and easily collect labelled images data☆22Jun 20, 2019Updated 6 years ago
- Synthetic data generators for structured and unstructured text, featuring differentially private learning.☆676Jun 24, 2025Updated 9 months ago
- Just another implementation of FiLM in PyTorch☆14Nov 2, 2017Updated 8 years ago
- Generative adversarial network for generating electronic health records.☆284Aug 19, 2019Updated 6 years ago
- official implementation of RoSAS: Deep Semi-supervised Anomaly Detection with Contamination-resilient Continuous Supervision☆11Jul 18, 2023Updated 2 years ago
- [ICML 2023] The official implementation of the paper "TabDDPM: Modelling Tabular Data with Diffusion Models"☆543Jul 13, 2024Updated last year