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Efficient surrogate-based model explanations (XAI) using landmark-based kernel approximations for scalable SHAP values

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MQBoost ★ 47

[Mach. Learn. 2026] Official implementation of "Monotone Composite Quantile Regression via Second-Order Gradient Boosting Framework"

Python
colablinter ★ 32

Linting and formatting Python code in Google Colab

Python
Imbalance-LightGBM ★ 29

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

Python
RektGBM ★ 26

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

Python
mcqrnn ★ 19

Monotone Composite Quantile Regression Neural Network (MCQRNN) implemented in both TensorFlow and PyTorch

Python
l1pm ★ 12

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

Python

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