Evaluation-and-Comparison-of-Boosted-ML-Models-in-Behavior-Based-Malware-Detection

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

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.

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.

AI比赛相关信息汇总

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).

An end-to-end machine learning and data mining framework on Hadoop

Machine Learning University: Decision Trees and Ensemble Methods

R package for automation of machine learning, forecasting, model evaluation, and model interpretation

numpy 实现的 周志华《机器学习》书中的算法及其他一些传统机器学习算法

A "build to learn" Alpha Zero implementation using Gradient Boosted Decision Trees (LightGBM)