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.
python
machine-learning
tutorial
data-science
gpu
big-data
catboost
categorical-features
coreml
cuda
data-mining
decision-trees
gbdt
gbm
gpu-computing
gradient-boosting
kaggle
r
Updated 2024-07-04 09:48:50 +03:00
Cross-platform, fast, feature-rich, GPU based terminal
Updated 2024-07-03 06:29:35 +03:00