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.
☆570Mar 29, 2026Updated 6 months 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.☆1,572Updated this week
- Generative adversarial training for generating synthetic tabular data.☆298Nov 26, 2022Updated 3 years ago
- tableGAN is a synthetic data generation technique (Data Synthesis based on Generative Adversarial Networks paper) based on Generative Ad…☆155May 1, 2019Updated 7 years ago
- Evaluate real and synthetic datasets against each other☆92Jun 5, 2026Updated 4 months ago
- Official git for "CTAB-GAN: Effective Table Data Synthesizing"☆97Jan 19, 2024Updated 2 years ago
- AI Agents on 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.
- nbsynthetic is simple and robust tabular synthetic data generation library for small and medium size datasets☆71Feb 22, 2023Updated 3 years ago
- Synthetic data generators for tabular and time-series data☆1,659Sep 3, 2026Updated last month
- Repository for the results of my master thesis, about the generation and evaluation of synthetic data using GANs☆45Jun 21, 2023Updated 3 years ago
- Synthetic data generation for tabular data☆3,574Updated this week
- Official GitHub for CTAB-GAN+☆90May 14, 2024Updated 2 years ago
- ☆70Dec 8, 2022Updated 3 years ago
- Creating tabular GAN on credit card dataset☆20Apr 29, 2020Updated 6 years ago
- Synthetic Data Generation for mixed-type, multivariate time series.☆125Sep 21, 2026Updated 3 weeks ago
- Implementation of TabTransformer, attention network for tabular data, in Pytorch☆1,099Jan 8, 2026Updated 9 months ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Using Generative Adversarial Networks (GANs) algorithm to detect outliers on tabular data☆13May 15, 2019Updated 7 years ago
- PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf☆2,957Oct 23, 2024Updated last year
- DeltaPy - Tabular Data Augmentation (by @firmai)☆557Sep 19, 2023Updated 3 years ago
- A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.☆691Apr 21, 2026Updated 5 months ago
- ☆21Apr 2, 2024Updated 2 years ago
- Metrics to evaluate quality and efficacy of synthetic datasets.☆264Sep 29, 2026Updated 2 weeks ago
- ☆108Mar 24, 2023Updated 3 years ago
- TensorFlow 2 implementation of Wasserstein Conditional GAN with Gradient Penalty (WCGAN-GP) for synthetic data generation☆22Jan 31, 2022Updated 4 years ago
- A library of Reversible Data Transforms☆135Oct 5, 2026Updated last week
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- A novel approach for synthesizing tabular data using pretrained large language models☆371Aug 16, 2026Updated last month
- ☆24Aug 19, 2024Updated 2 years ago
- A suite of auto-regressive and Seq2Seq (sequence-to-sequence) transformer models for tabular and relational synthetic data generation.☆244Jan 4, 2026Updated 9 months ago
- A unified framework for Deep Learning Models on tabular data☆1,695Oct 5, 2026Updated last week
- git for paper "CTAB-GAN: Effective Table Data Synthesizing"☆13Apr 25, 2022Updated 4 years 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
- A collection of scripts to quickly and easily collect labelled images data☆22Jun 20, 2019Updated 7 years ago
- Algorithms for generating synthetic data☆17Jun 18, 2024Updated 2 years ago
- Sample code for VAEM: a Deep Generative Model for Heterogeneous Mixed Type Data☆21Mar 7, 2021Updated 5 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Just another implementation of FiLM in PyTorch☆14Nov 2, 2017Updated 8 years ago
- Generative adversarial network for generating electronic health records.☆287Aug 19, 2019Updated 7 years ago
- [ICML 2023] The official implementation of the paper "TabDDPM: Modelling Tabular Data with Diffusion Models"☆566Jul 13, 2024Updated 2 years ago
- Code & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021)☆373Sep 17, 2025Updated last year
- ☆29Mar 9, 2023Updated 3 years ago
- A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch☆1,416Apr 30, 2026Updated 5 months ago
- COR-GAN: Correlation-Capturing Convolutional Neural Networks for Generating Synthetic Healthcare Records☆58Dec 15, 2020Updated 5 years ago