Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

Researchers have developed an easy-to-use tool that enables someone to perform complicated statistical analyses on tabular data using just a few keystrokes. Their method combines probabilistic AI ...

Filling gaps in data sets or identifying outliers – that’s the domain of the machine learning algorithm TabPFN, developed by a team led by Prof. Dr. Frank Hutter from the University of Freiburg. This ...

Synthetic Data Metrics is an open-source Python library for evaluating model-agnostic tabular data by pitching machine generated data sets against real data sets. MIT Computer Science & Artificial ...