/

gbm

python
r
machine-learning
gbdt
decision-trees
gradient-boosting
distributed
kaggle
data-science
big-data
gbrt
parallel
data-mining
lightgbm
microsoft
gpu-computing
catboost
categorical-features
tutorial
gpu
coreml
deep-learning
pca
h2o
random-forest
naive-bayes
java
opensource
hadoop
ensemble-learning

microsoft/LightGBM
502日前15.9k

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.

catboost/catboost
502日前7.6k

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.

h2oai/h2o-3
502日前6.6k

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.