LAMDA-Tabular/TALENT

A Living Benchmark for Machine Learning on Tabular Data

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.

TabICLv2: An open tabular foundation model

A unified framework for Deep Learning Models on tabular data

The repository to showcase the best framework for tabular data - the Awesome CatBoost

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

⚡ TabPFN: Foundation Model for Tabular Data ⚡

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

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