LightgbmA 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.
H2o 3H2O 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.
XgboostScalable, 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
HyperGBMA full pipeline AutoML tool for tabular data
LightGBM.jlLightGBM.jl provides a high-performance Julia interface for Microsoft's LightGBM.
RobustTrees[ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples
stackgbm🌳 Stacked Gradient Boosting Machines
enmSdmFaster, better, smarter ecological niche modeling and species distribution modeling
sagemaker-xgboost-containerThis is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use their own XGBoost scripts in SageMaker.
forecastVegA Machine Learning Approach to Forecasting Remotely Sensed Vegetation Health in Python
lucurious😱 Lucurious -> [Library] for building advanced DRM/KMS Vulkan Renderers 😱
fast retrainingShow how to perform fast retraining with LightGBM in different business cases