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  • Seoul, Republic of Korea

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  1. MQBoost MQBoost Public

    Multiple quantiles estimation model maintaining non-crossing condition (or monotone quantile condition) and preventing quantile crossing using LightGBM and XGBoost

    Python 37 6

  2. RektGBM RektGBM Public

    No-brainer model combining LightGBM and XGBoost with hyperparameter tuning using Optuna.

    Python 21

  3. Imbalance-LightGBM Imbalance-LightGBM Public

    LightGBM for handling label-imbalanced data with focal and weighted loss functions in binary and multiclass classification

    Python 16 1

  4. l1pm l1pm Public

    [JCGS 2021] Official Implement of the paper "Learning Multiple Quantiles With Neural Networks"

    R 5 1