TabPFN and TabSTAR
TabPFN is a prior foundation model for tabular data that TabSTAR builds upon by extending its architecture to handle mixed tabular and text field inputs.
About TabPFN
PriorLabs/TabPFN
⚡ TabPFN: Foundation Model for Tabular Data ⚡
Based on the README, here's a technical summary: Built on a pretrained transformer architecture trained exclusively on synthetic data, TabPFN performs in-context learning by processing entire training sets through the model at inference time rather than traditional parameter updates. It provides scikit-learn compatible classifiers and regressors optimized for GPU inference on tabular datasets under 100K samples and 2000 features, with the ecosystem offering SHAP-based interpretability, synthetic data generation, embedding extraction, and hyperparameter optimization extensions.
About TabSTAR
alanarazi7/TabSTAR
TabSTAR: A Tabular Foundation Model for Tabular Data with Text Fields
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