10 projects
xuplift
Explainable uplift modeling via linearized kernel feature maps.
mqboost
Monotonic composite quantile gradient boost regressor
colablinter
Linting and formatting Python code in Google Colab.
striders
Efficient surrogate-based model explanations (XAI) using landmark-based kernel approximations for scalable SHAP values.
fastbinning
A high-performance binning library specifically designed for Credit Risk Modeling and Scorecard Development.
rektrag
No-brainer vectorless RAG combining docling and toon-python
imlightgbm
LightGBM for label-imbalanced data with focal and weighted loss function
autolgb
None
rektgbm
No-brainer machine learning solution to achieve satisfactory performance
quantile-tree
Monotone quantile regressor
