GitHub topic

gradient-boosting GitHub repositories

Explore 7 tracked GitHub repositories tagged gradient-boosting. Compare their recorded star activity and implementation languages, then follow related topics to find other projects.

Snapshot: 2026-10-28. The collection gained 18 stars since the previous daily snapshot.

Tracked repositories: 7
Total stars: 64,206
Stars gained · 7 days: +85
Stars gained · 30 days: +263

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Star activity for gradient-boosting repositories on this page
Repository	Total stars	Today	7 days	30 days
lightgbm-org/LightGBM	18.9K	+10	+36	+113
catboost/catboost	9.2K	+4	+25	+60
shap/shap	25.8K	+2	+12	+52
stanfordmlgroup/ngboost	1.9K	+1	+4	+9
perpetual-ml/perpetual	715	+1	+1	+7

Explore repositories

Showing 1–7 of 7 tracked repositories.

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.

★ 18.9K+10 todayC++

machine-learning python

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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.

★ 9.2K+4 todayC++

machine-learning python

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shap/shap

A game theoretic approach to explain the output of any machine learning model.

★ 25.8K+2 todayJupyter Notebook

machine-learning deep-learning

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stanfordmlgroup/ngboost

Natural Gradient Boosting for Probabilistic Prediction

★ 1.9K+1 todayJupyter Notebook

machine-learning python

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perpetual-ml/perpetual

Perpetual is a high-performance gradient boosting machine. It delivers optimal accuracy in a single run without complex tuning through a simple budget parameter. It features out-of-the-box support for causal ML, continual learning, native calibration, and robust drift monitoring, along with Rust core and zero-copy bindings for Python and R

★ 715+1 todayRust

machine-learning python

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