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  1. TabPFNCredit TabPFNCredit Public

    A reproducible benchmark of tabular foundation models (TabPFN, TabICL, TabDPT, …) against classical and deep learners for credit-risk modelling (PD classification + LGD regression), built on TALENT…

    Jupyter Notebook 1

  2. CreditPFN CreditPFN Public

    Domain-adapted TabPFNv2 for credit-risk modelling via continued pretraining on a curated corpus of real-world credit datasets. Investigates whether a credit-specialised foundation model outperforms…

    Jupyter Notebook 1

  3. Readiness-To-Train Readiness-To-Train Public

    Predicting the readiness to train of OHL players.

    Jupyter Notebook

  4. TALENT TALENT Public

    Forked from LAMDA-Tabular/TALENT

    A comprehensive toolkit and benchmark for tabular data learning, featuring 35+ deep methods, more than 10 classical methods, and 300 diverse tabular datasets.

    Python

  5. TFM_Library TFM_Library Public

    Python

  6. CreditICL CreditICL Public

    Can domain knowledge be encoded in a tabular foundation model's pretraining prior? TabICL prior design for credit-risk PD and LGD.

    Python