Team-TUD / CTAB-GANLinks
Official git for "CTAB-GAN: Effective Table Data Synthesizing"
☆87Updated last year
Alternatives and similar repositories for CTAB-GAN
Users that are interested in CTAB-GAN are comparing it to the libraries listed below
Sorting:
- Official GitHub for CTAB-GAN+☆76Updated last year
- Official git for "TabuLa: Harnessing Language Models for Tabular Data Synthesis"☆40Updated 3 months ago
- [ICML 2023] The official implementation of the paper "TabDDPM: Modelling Tabular Data with Diffusion Models"☆472Updated last year
- ☆22Updated 11 months ago
- Generating Tabular Synthetic Data using State of the Art GAN architecture☆80Updated 5 years ago
- Implementation of the paper: "FinDiff: Diffusion Models for Financial Tabular Data Generation"☆30Updated 11 months ago
- Evaluate real and synthetic datasets against each other☆92Updated this week
- ☆65Updated 2 years ago
- ☆22Updated 2 years ago
- Benchmarking synthetic data generation methods.☆275Updated this week
- A novel approach for synthesizing tabular data using pretrained large language models☆317Updated last month
- tableGAN is a synthetic data generation technique (Data Synthesis based on Generative Adversarial Networks paper) based on Generative Ad…☆149Updated 6 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 …☆557Updated last month
- Official Implementations of "Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space""☆156Updated last year
- The first differentially-private diffusion model for tabular data☆27Updated last year
- ☆27Updated 2 years ago
- A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.☆576Updated last month
- Conditional GAN for generating synthetic tabular data.☆1,434Updated this week
- Metrics to evaluate quality and efficacy of synthetic datasets.☆243Updated last week
- A toolbox for differentially private data generation☆132Updated 2 years ago
- A suite of auto-regressive and Seq2Seq (sequence-to-sequence) transformer models for tabular and relational synthetic data generation.☆235Updated 2 weeks ago
- Official code for "STaSy: Score-based Tabular data Synthesis", ICLR 2023☆30Updated last year
- Generative adversarial training for generating synthetic tabular data.☆290Updated 2 years ago
- This is a curated list of research on diffusion models for tabular data, and serves as the official repository for the survey paper "Diff…☆34Updated 4 months ago
- Standardised Metrics and Methods for Synthetic Tabular Data Evaluation☆32Updated 11 months ago
- Implementation of the paper: "FedTabDiff: Federated Learning of Diffusion Models for Synthetic Mixed-Type Tabular Data Generation"☆20Updated 8 months ago
- Directed Acyclic Tabular GAN (DATGAN) for integrating expert knowledge in synthetic tabular data generation☆17Updated 9 months ago
- A repo for transfer learning with deep tabular models☆104Updated 2 years ago
- A framework for prototyping and benchmarking imputation methods☆190Updated 2 years ago
- (NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data☆273Updated 8 months ago