SamsungSAILMontreal/ForestDiffusion

Conditional GAN for generating synthetic tabular data.

A novel approach for synthesizing tabular data using pretrained large language models

Synthetic data generation for tabular data

⚡ TabPFN: Foundation Model for Tabular Data ⚡

TabFM (Tabular Foundation Model) is a pretrained tabular foundation model developed by Google Research for tabular data regression and classification.

TabICLv2: An open tabular foundation model

Lightweight and educational reimplementation of TabPFN https://arxiv.org/pdf/2511.03634

DeepTab is a Python package that simplifies tabular deep learning by providing a suite of models for regression, classification, and distributional regression tasks. It includes models such as Mambular, TabM, FT-Transformer, TabulaRNN, TabTransformer, and tabular ResNets.

(ICLR 2025) TabM: Advancing Tabular Deep Learning With Parameter-Efficient Ensembling