PyPI · npm
shap/shap
A game theoretic approach to explain the output of any machine learning model.
MITAug 5, 2026 · metrics 2.10.0
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#gradient-boosting
Every repository in the public record carrying this tag — from its GitHub topics or the keywords its package registries publish. Health is measured under the same versioned methodology as the rest of the record.
8 records
npm · PyPI
interpretml/interpret
Fit interpretable models. Explain blackbox machine learning.
MITAug 12, 2026 · metrics 2.10.0
npm
catboost/catboost
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
Apache-2.0Aug 12, 2026 · metrics 2.10.0
PyPI · crates.io · npm
TheCulliganMan/CartoBoost
CartoBoost geospatial and temoporal boosting
MITSep 5, 2026 · metrics 2.10.0
PyPI
RektPunk/MQBoost
[Mach. Learn. 2026] Official implementation of "Monotone Composite Quantile Regression via Second-Order Gradient Boosting Framework"
MITJul 28, 2026 · metrics 2.10.0
PyPI
daniel-m-campos/bonsai
No repository description published.
MITAug 3, 2026 · metrics 2.10.0
PyPI
tuamah/kanboost
Gradient Boosting library with KAN (Kolmogorov-Arnold Network) learners
MITJul 18, 2026 · metrics 2.10.0
PyPI
lightgbm-org/LightGBM
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
MITAug 5, 2026 · metrics 2.10.0