decision-trees
python
r
gbdt
gbm
gradient-boosting
machine-learning
kaggle
gbrt
distributed
parallel
data-mining
lightgbm
microsoft
gpu-computing
catboost
categorical-features
tutorial
data-science
big-data
gpu
coreml
microsoft/LightGBM502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/catboost502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.