OpenTabular/DeepTab

A unified framework for Deep Learning Models on tabular data

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

⚡ TabPFN: Foundation Model for Tabular Data ⚡

TabICLv2: An open tabular foundation model

A comprehensive toolkit and benchmark for tabular data learning, featuring 35+ deep methods, more than 10 classical methods, and 300 diverse tabular datasets.

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

Fast and Accurate ML in 3 Lines of Code

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

A Living Benchmark for Machine Learning on Tabular Data