tableGAN is a synthetic data generation technique (Data Synthesis based on Generative Adversarial Networks paper) based on Generative Adversarial Network architecture (DCGAN).
☆154May 1, 2019Updated 7 years ago
Alternatives and similar repositories for tableGAN
Users that are interested in tableGAN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Generative adversarial training for generating synthetic tabular data.☆297Nov 26, 2022Updated 3 years ago
- Conditional GAN for generating synthetic tabular data.☆1,560Updated this week
- Official GitHub for CTAB-GAN+☆89May 14, 2024Updated 2 years ago
- Benchmarking synthetic data generation methods.☆309Updated this week
- ☆13Sep 11, 2018Updated 7 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.
- We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review …☆570Mar 29, 2026Updated 2 months ago
- Generative adversarial network for generating electronic health records.☆286Aug 19, 2019Updated 6 years ago
- Evaluate real and synthetic datasets against each other☆92Jun 5, 2026Updated last week
- Repository for the results of my master thesis, about the generation and evaluation of synthetic data using GANs☆45Jun 21, 2023Updated 2 years ago
- ☆11Feb 10, 2023Updated 3 years ago
- ☆17Sep 9, 2020Updated 5 years ago
- Official code for "STaSy: Score-based Tabular data Synthesis", ICLR 2023☆37Aug 11, 2023Updated 2 years ago
- Code for the paper "Generating Multi-Categorical Samples with Generative Adversarial Networks"☆50Jul 6, 2023Updated 2 years ago
- A novel approach for synthesizing tabular data using pretrained large language models☆363May 12, 2026Updated last month
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ☆24Aug 19, 2024Updated last year
- Source code of paper "Differentially Private Generative Adversarial Network"☆72Nov 29, 2018Updated 7 years ago
- This is a curated list of research on diffusion and flow matching models for tabular data, and serves as the official repository for the …☆88May 29, 2026Updated 2 weeks ago
- ☆24Sep 16, 2022Updated 3 years ago
- A TensorFlow (Python 3) implementation of a differentially-private-GAN.☆20Feb 21, 2020Updated 6 years ago
- Official code for "CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis", ICML 2023☆38Jan 9, 2024Updated 2 years ago
- ☆69Dec 8, 2022Updated 3 years ago
- ☆26Mar 9, 2023Updated 3 years ago
- Creating tabular GAN on credit card dataset☆20Apr 29, 2020Updated 6 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- A library of Reversible Data Transforms☆134May 29, 2026Updated 2 weeks ago
- Code for Transformed Distribution Matching (TDM) for Missing Value Imputation, ICML 2023☆14Aug 4, 2023Updated 2 years ago
- The first differentially-private diffusion model for tabular data☆35Jun 5, 2024Updated 2 years ago
- This is a thesis project about comparing imputation performances between deep learning methods and conventional statistical methods. In t…☆19Oct 22, 2024Updated last year
- Sample code for VAEM: a Deep Generative Model for Heterogeneous Mixed Type Data☆19Mar 7, 2021Updated 5 years ago
- Dual Adversarial Autoencoder for Generating Set-valued Sequences☆19Jan 15, 2021Updated 5 years ago
- VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning☆40Feb 2, 2019Updated 7 years ago
- PyTorch implementation for OCT-GAN Neural ODE-based Conditional Tabular GANs (WWW 2021)☆15Oct 10, 2022Updated 3 years ago
- Synthetic data generation for tabular data☆3,501Updated this week
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Differentially Private Generative Adversarial Networks for Time Series, Continuous, and Discrete Open Data☆34Dec 8, 2018Updated 7 years ago
- code for ehrMGAN☆25Feb 21, 2023Updated 3 years ago
- Training Federated GANs with Theoretical Guarantees: AUniversal Aggregation Approach☆17Jan 18, 2021Updated 5 years ago
- Privacy-preserving generative deep neural networks support clinical data sharing☆106Apr 20, 2019Updated 7 years ago
- data synthesis tool to simplify privacy preservation☆15Feb 14, 2023Updated 3 years ago
- Salinity and turbidity detection of water ponds using Satellite imagery☆15Nov 2, 2023Updated 2 years ago
- ☆25Nov 6, 2025Updated 7 months ago