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).

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.

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

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

TabPFN implementation with PyTorch

ML competition submission to classify anonymous age related condition

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