Official git for "CTAB-GAN: Effective Table Data Synthesizing"
☆96Jan 19, 2024Updated 2 years ago
Alternatives and similar repositories for CTAB-GAN
Users that are interested in CTAB-GAN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Official GitHub for CTAB-GAN+☆89May 14, 2024Updated 2 years ago
- Official git for "TabuLa: Harnessing Language Models for Tabular Data Synthesis"☆46Jul 30, 2025Updated 11 months ago
- ☆24Sep 16, 2022Updated 3 years ago
- [ICML 2023] The official implementation of the paper "TabDDPM: Modelling Tabular Data with Diffusion Models"☆557Jul 13, 2024Updated last year
- Implementation of the paper: "FinDiff: Diffusion Models for Financial Tabular Data Generation"☆37Updated this week
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Conditional GAN for generating synthetic tabular data.☆1,560Jun 22, 2026Updated last week
- ☆27Mar 9, 2023Updated 3 years ago
- ☆24Aug 19, 2024Updated last year
- ☆69Dec 8, 2022Updated 3 years ago
- Official PyTorch implementation of HealthyGAN - SASHIMI 2022☆10Feb 20, 2023Updated 3 years ago
- A suite of auto-regressive and Seq2Seq (sequence-to-sequence) transformer models for tabular and relational synthetic data generation.☆244Jan 4, 2026Updated 6 months ago
- Unofficial repo for SubTab with additional code and data for Adult Income and BlogFeedback datasets. BlogFeedback data is attached as zip…☆10Jun 24, 2022Updated 4 years ago
- We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review …☆571Mar 29, 2026Updated 3 months ago
- Evaluate real and synthetic datasets against each other☆92Jun 5, 2026Updated 3 weeks ago
- 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.
- A novel approach for synthesizing tabular data using pretrained large language models☆366May 12, 2026Updated last month
- Generating and Imputing Tabular Data via Diffusion and Flow XGBoost Models☆184Aug 6, 2024Updated last year
- Supplemental Material for the ESANN 2019 Submission "Preserving privacy using synthetic data models and applications in health informatic…☆20Mar 20, 2020Updated 6 years ago
- 📈 🐍 Multidimensional synthetic data generation with Copula and fPCA models in Python☆68Sep 28, 2023Updated 2 years ago
- ☆18Sep 30, 2019Updated 6 years ago
- ☆16Apr 1, 2025Updated last year
- Generative adversarial training for generating synthetic tabular data.☆297Nov 26, 2022Updated 3 years ago
- PyTorch implementation for OCT-GAN Neural ODE-based Conditional Tabular GANs (WWW 2021)☆15Oct 10, 2022Updated 3 years ago
- Hadamard Response: Communication efficient, sample optimal, linear time locally private learning of distributions☆16Sep 18, 2020Updated 5 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆19Jun 15, 2022Updated 4 years ago
- Official Implementations of "Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space""☆198Jul 15, 2024Updated last year
- Differentially Private Synthetic Data Generation [DP-SDG] - Experimental Setups & Knowledge Base - WORK IN PROGRESS☆12Jul 26, 2022Updated 3 years ago
- Metrics to evaluate quality and efficacy of synthetic datasets.☆261Jun 25, 2026Updated last week
- Code for the paper: Multi-Label Clinical Time-Series Generation via Conditional GAN (IEEE TKDE)☆39Jul 5, 2022Updated 3 years ago
- A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.☆667Apr 21, 2026Updated 2 months ago
- Implementation of calibration bounds for differential privacy in the shuffle model☆21Nov 10, 2020Updated 5 years ago
- Tools and service for differentially private processing of tabular and relational data☆297Updated this week
- (NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data☆349Nov 12, 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. Zero configuration with optimized deployments.
- code for ehrMGAN☆25Feb 21, 2023Updated 3 years ago
- Synthetic data generators for tabular and time-series data☆1,642Apr 23, 2026Updated 2 months ago
- ☆10Oct 18, 2021Updated 4 years ago
- Git for "Stepwise Self-Consistent Mathematical Reasoning with Large Language Models"☆12Nov 26, 2024Updated last year
- ☆68May 23, 2023Updated 3 years ago
- This project utilizes Generative Adversarial Networks (GANs) to tackle the problem of credit card fraud detection. GANs are a powerful de…☆13Oct 11, 2023Updated 2 years ago
- Research and experimental code related to Opacus, an open-source library for training PyTorch models with Differential Privacy☆18Oct 9, 2024Updated last year