awesome-tab2img

A curated list of paper, methods and libraries implemented in Python for transforming tabular data into images.

Review Papers

Review2022 - The use of generative adversarial networks to alleviate class imbalance in tabular data: a survey
Review2024 - Non-imaging Medical Data Synthesis for Trustworthy AI: A Comprehensive Survey.
Review2024 - Tabular Data Augmentation for Machine Learning: Progress and Prospects of Embracing Generative AI.

Benchmark2023 - Benchmarking state-of-the-art imbalanced data learning approaches for credit scoring.
Benchmark2023 - Synthesizing credit data using autoencoders and generative adversarial networks.
Benchmark2024 - A hybrid sampling method for highly imbalanced and overlapped data classification with complex distribution.

cWGAN - Conditional Wasserstein GAN-based oversampling of tabular data for imbalanced learning.
CTAB-GAN - CTAB-GAN: Effective Table Data Synthesizing.
RGAN-EL - RGAN-EL: A GAN and ensemble learning-based hybrid approach for imbalanced data classification.
CTAB-GAN+ - Ctab-gan+: Enhancing tabular data synthesis.
TabMT - TabMT: Generating Tabular data with Masked Transformers.
RVGAN-TL - RVGAN-TL: A generative adversarial networks and transfer learning-based hybrid approach for imbalanced data classification.
PregGAN - PregGAN: A prognosis prediction model for breast cancer based on conditional generative adversarial networks.
FinDiff - FinDiff: Diffusion Models for Financial Tabular Data Generation.
AWGAN - AWGAN: An adaptive weighting GAN approach for oversampling imbalanced datasets.
GANBLR - Interpretable tabular data generation.
TabDDPM - TabDDPM: Modelling Tabular Data with Diffusion Models.
Tabsyn - Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space.
CoDi - CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis.
DiffModel - Diffusion Models for Tabular Data Imputation and Synthetic Data Generation.

cWGAN - Conditional Wasserstein GAN-based oversampling of tabular data for imbalanced learning.
TabDDPM - TabDDPM: Modelling Tabular Data with Diffusion Models.
DeepInsight - DeepInsight: A methodology to transform a non-image data to an image for convolution neural network architecture.
RGAN-EL - RGAN-EL: A GAN and ensemble learning-based hybrid approach for imbalanced data classification.
CTAB-GAN+ - Ctab-gan+: Enhancing tabular data synthesis.
RVGAN-TL - RVGAN-TL: A generative adversarial networks and transfer learning-based hybrid approach for imbalanced data classification.
PregGAN - PregGAN: A prognosis prediction model for breast cancer based on conditional generative adversarial networks.
FinDiff - FinDiff: Diffusion Models for Financial Tabular Data Generation.
GANBLR - Interpretable tabular data generation.
TabSyn - Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space.
CoDi - CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis.
synthcity - Synthetic data generation platform for privacy-preserving machine learning, focusing on tabular, time series, and survival data.
GenerativeMTD - GenerativeMTD: A deep synthetic data generation framework for small datasets.