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Dboost

Stochastic Dummy Boosting

Categories > Machine Learning > Gbm

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8 years ago

Programming Language

R

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Programming Languages > R

Machine Learning > Gbm

Alternatives To Dboost

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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 972total releases 79most recent commit 3 months ago

pypi xgboost} Downloads

Lightgbm ⭐ 15,999

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 574total releases 34most recent commit 18 days ago

pypi lightgbm} Downloads

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 12total releases 20most recent commit 3 months ago

H2o 3 ⭐ 6,618

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 33total releases 49most recent commit 3 months ago

Dalex ⭐ 1,242

moDel Agnostic Language for Exploration and eXplanation

dependent packages 24total releases 29most recent commit 7 months ago

Chefboost ⭐ 428

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

total releases 17most recent commit 4 months ago

Glmark2 ⭐ 355

glmark2 is an OpenGL 2.0 and ES 2.0 benchmark

most recent commit 6 months ago

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).

most recent commit 2 years ago

Hypergbm ⭐ 306

A full pipeline AutoML tool for tabular data

dependent packages 1total releases 17most recent commit 4 months ago

pypi hypergbm} Downloads

Kaggle Knowhow ⭐ 218

Kaggle-Knowhow(Korean Ver) 한국분들을 위한 Kaggle 자료 모음입니다

most recent commit 4 years ago

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