GitHub topic

gbm GitHub repositories

Explore 5 tracked GitHub repositories tagged gbm. Compare their recorded star activity and implementation languages, then follow related topics to find other projects.

Snapshot: 2026-10-28. The collection gained 19 stars since the previous daily snapshot.

Tracked repositories: 5
Total stars: 65,258
Stars gained · 7 days: +89
Stars gained · 30 days: +305

Compare star activity

Up to five projects on this page, ordered by daily star growth. Open a project for its description and recorded star history.

Swipe to compare all star periods →

Star activity for gbm 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
dmlc/xgboost	28.9K	+3	+23	+119
h2oai/h2o-3	7.5K	+1	+4	+6
perpetual-ml/perpetual	715	+1	+1	+7

Explore repositories

Showing 1–5 of 5 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

View ↗

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

View ↗

dmlc/xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

★ 28.9K+3 todayC++

machine-learning distributed-systems

View ↗

h2oai/h2o-3

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

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

View ↗

gbm GitHub repositories

Compare star activity

Explore repositories

lightgbm-org/LightGBM

catboost/catboost

dmlc/xgboost

h2oai/h2o-3

perpetual-ml/perpetual

Sign in to continue

Loading

Account settings

Delete listing?