Official GitHub for CTAB-GAN+
☆85May 14, 2024Updated last year
Alternatives and similar repositories for CTAB-GAN-Plus
Users that are interested in CTAB-GAN-Plus are comparing it to the libraries listed below
Sorting:
- Official git for "CTAB-GAN: Effective Table Data Synthesizing"☆95Jan 19, 2024Updated 2 years ago
- ☆24Sep 16, 2022Updated 3 years ago
- [ICML 2023] The official implementation of the paper "TabDDPM: Modelling Tabular Data with Diffusion Models"☆532Jul 13, 2024Updated last year
- Generating Tabular Synthetic Data using State of the Art GAN architecture☆82Apr 29, 2020Updated 5 years ago
- Conditional GAN for generating synthetic tabular data.☆1,525Feb 22, 2026Updated last week
- tableGAN is a synthetic data generation technique (Data Synthesis based on Generative Adversarial Networks paper) based on Generative Ad…☆153May 1, 2019Updated 6 years ago
- Creating tabular GAN on credit card dataset☆20Apr 29, 2020Updated 5 years ago
- ☆24Aug 19, 2024Updated last year
- TabDDPM is the state of the art synthetic data generation tool using diffusion models. Here I wrap the diffusion model in an easier plug …☆18Jun 26, 2025Updated 8 months ago
- ☆17Mar 30, 2023Updated 2 years ago
- Implementation of the paper: "FinDiff: Diffusion Models for Financial Tabular Data Generation"☆34Aug 4, 2024Updated last year
- We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review …☆564Jun 24, 2025Updated 8 months ago
- Metrics to evaluate quality and efficacy of synthetic datasets.☆256Updated this week
- COR-GAN: Correlation-Capturing Convolutional Neural Networks for Generating Synthetic Healthcare Records☆56Dec 15, 2020Updated 5 years ago
- A novel approach for synthesizing tabular data using pretrained large language models☆349Feb 9, 2026Updated 3 weeks ago
- ☆10Mar 7, 2023Updated 2 years ago
- Feature Selection using Simulated Annealing☆11Aug 10, 2022Updated 3 years 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 3 years ago
- Benchmarking synthetic data generation methods.☆300Updated this week
- git for paper "CTAB-GAN: Effective Table Data Synthesizing"☆13Apr 25, 2022Updated 3 years ago
- AutoML4ETC, a tool to automatically design efficient and high-performing neural architectures for encrypted traffic classification.☆12Feb 19, 2024Updated 2 years ago
- The implementation of our paper Fed-TDA☆14Jan 11, 2023Updated 3 years ago
- The official code implementation of the Autodiff algorithm.☆15Nov 10, 2023Updated 2 years ago
- Differentially Private Synthetic Data Generation [DP-SDG] - Experimental Setups & Knowledge Base - WORK IN PROGRESS☆12Jul 26, 2022Updated 3 years ago
- TabKANet, Use Kolmogorov Arnold network and Transformer to unify tabular data modeling.☆36Feb 17, 2026Updated 2 weeks ago
- Code Snippet used to convert CSV dataset into Images in IEEE Published Article: IoT DoS and DDoS Attack Detection using ResNet☆14Aug 21, 2021Updated 4 years ago
- ☆16Jul 15, 2022Updated 3 years ago
- A toolbox for differentially private data generation☆130Jul 6, 2023Updated 2 years ago
- Official code for "CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis", ICML 2023☆37Jan 9, 2024Updated 2 years ago
- Directed Acyclic Tabular GAN (DATGAN) for integrating expert knowledge in synthetic tabular data generation☆17Oct 19, 2024Updated last year
- ☆20Mar 25, 2024Updated last year
- Official code for "STaSy: Score-based Tabular data Synthesis", ICLR 2023☆34Aug 11, 2023Updated 2 years ago
- A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.☆640Feb 11, 2026Updated 3 weeks ago
- A suite of auto-regressive and Seq2Seq (sequence-to-sequence) transformer models for tabular and relational synthetic data generation.☆243Jan 4, 2026Updated 2 months ago
- ☆18Sep 30, 2019Updated 6 years ago
- A collection of graph contrastive learning methods.☆18Apr 1, 2022Updated 3 years ago
- ☆20Jul 10, 2024Updated last year
- Few-Shot Graph Classification via distance metric learning.☆24Mar 20, 2024Updated last year
- This implementation for the paper: Learning Neural Representations for Network Anomaly Detection. If you have questions, please do not he…☆18Aug 20, 2019Updated 6 years ago