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TabPFN v2

A SOTA foundation model for small tabular data. I am excited to announce the release of TabPFN v2, a tabular foundation model that delivers state-of-the-art predictions on small datasets in just 2.8 seconds for classification and 4.8 seconds for regression compared to strong baselines tuned for 4 hours.

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  1. TabPFN-2.5

    priorlabs.ai

    SOTA foundation model for tabular data

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  2. TabPFN MCP

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    gives LLMs tools for predictions on tabular data (beta)

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  3. Python SDK

    github.com

    forecasting with foundation time-series and tabular models

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  4. Autodistill

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    Use big slow foundation models to train small fast models

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  5. T0

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    We trained a 256M SOTA open-weights time-series forecasting model

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