⚡ TabPFN: Foundation Model for Tabular Data ⚡

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

Semi-automatic feature engineering process using Language Models and your dataset descriptions. Based on the paper "LLMs for Semi-Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering" by Hollmann, Müller, and Hutter (2023).

⚡ Easy API access to the tabular foundation model TabPFN ⚡

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

Code for finetuning TabPFN on one downstream tabular dataset.

Ensemble-based, size-agnostic wrapper for the TabPFN classifier

TFG realizado en la Universidad de Burgos del desarrollo de una aplicación para el uso de un Radar de 60 GHz de la marca Acconeer.

TabPFN implementation with PyTorch

Code for "TabMDA: Tabular Manifold Data Augmentation for Any Classifier using Transformers with In-context Subsetting" (ICML 2024)

Code for evaluating TabPFN against other classifiers on engineering design problems.

PyTorch normalization layer that learns Yeo-Johnson power scaling on tabular data

A community project to build a RESTful API wrapper for tabpfn-client, the tabular foundational model by https://priorlabs.ai/

ML competition submission to classify anonymous age related condition

Benchmarking the performance of TabPFNClassifier against traditional machine learning models (Logistic Regression, SVM, k-NN, Decision Tree, GaussianNB) on tabular datasets. Includes metrics like accuracy, fit time, and predict time, with interactive visualizations.