TabPFN: Foundation model for tabular data

TabPFN is a transformer-based foundation model for tabular data that leverages prior-data based learning to achieve strong performance on small-to-medium sized datasets without requiring task-specific training. Currently at version 7.1.1, it is actively developed by Prior Labs and offers fast, zero-shot predictions, often outperforming tuned tree-based models and AutoML systems on suitable datasets.