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The Top 10 Gbm Open Source Projects

Open source projects categorized as Gbm
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dmlc/xgboost ⭐ 25,253
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
dependent packages 0 total releases 0 most recent commit about 2 years ago
microsoft/LightGBM ⭐ 15,819
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.
dependent packages 0 total releases 0 most recent commit about 2 years ago
catboost/catboost ⭐ 7,564
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.
dependent packages 0 total releases 0 most recent commit about 2 years ago
h2oai/h2o-3 ⭐ 7,508
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.
dependent packages 0 total releases 0 most recent commit 2 months ago
ModelOriented/DALEX ⭐ 1,242
moDel Agnostic Language for Exploration and eXplanation
dependent packages 0 total releases 0 most recent commit over 2 years ago
serengil/chefboost ⭐ 486
A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting, Random Forest and Adaboost w/categorical features support for Python
dependent packages 0 total releases 0 most recent commit 9 months ago
glmark2/glmark2 ⭐ 355
glmark2 is an OpenGL 2.0 and ES 2.0 benchmark
dependent packages 0 total releases 0 most recent commit over 2 years ago
kanyun-inc/ytk-learn ⭐ 351
Ytk-learn is a distributed machine learning library which implements most of popular machine learning algorithms(GBDT, GBRT, Mixture Logistic Regression, Gradient Boosting Soft Tree, Factorization Machines, Field-aware Factorization Machines, Logistic Regression, Softmax).
dependent packages 0 total releases 0 most recent commit almost 4 years ago
DataCanvasIO/HyperGBM ⭐ 306
A full pipeline AutoML tool for tabular data
dependent packages 0 total releases 0 most recent commit over 2 years ago
zzsza/Kaggle-knowhow ⭐ 218
Kaggle-Knowhow(Korean Ver) 한국분들을 위한 Kaggle 자료 모음입니다
dependent packages 0 total releases 0 most recent commit over 6 years ago
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