Code for TDC Submission

Code for Measuring Variable Importance in Heterogeneous Treatment Effects

TabSTAR: A Foundation Tabular Model With Semantically Target-Aware Representations

Official implementation of "TabEBM: A Tabular Data Augmentation Method with Class-Specific Energy-Based Models", NeurIPS 2024

⚡ TabPFN: Foundation Model for Tabular Data ⚡

Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems [ICML'25]

A Playground for Tabular Foundation Models

PriorLabs Dataset Requirement Guide

TabPFGen: Synthetic Tabular Data Generation with TabPFN

Highly Performant, Modular, Memory Safe and Production-ready Inference, Ingestion and Indexing built in Rust 🦀

Extract tasks from ChEMBL for model fine-tuning

Rust library for stats and machine learning

⚡ TabPFN: Foundation Model for Tabular Data ⚡

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

Foundation Model for Tabular Data via reticulate

Our maintained PFN repository. Come here to train SOTA PFNs.

Surgical Workflow Segmentation and Intent Recognition

Drift-Resilient TabPFN is a method using In-Context Learning via a Prior-Data Fitted Network, to address temporal distribution shifts in tabular data, outperforming existing methods in terms of per…

Zero-shot Time Series Forecasting with TabPFN (work accepted at NeurIPS 2024 TRL and TSALM workshops)

Examples of how to train TabPFN models in R using reticulate

Community extensions for TabPFN - the foundation model for tabular data. Built with TabPFN! 🤗

Tabular data imputation and generation, with flexible modeling of quantitative features via hierarchical binning (TMLR, 2025)

Ecologically rational meta-learned inference explains human category learning