#计算机科学#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 computa...
#计算机科学#Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
#计算机科学#A collection of research papers on decision, classification and regression trees with implementations.
#计算机科学#A curated list of gradient boosting research papers with implementations.
#计算机科学#Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
#计算机科学#Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)
A full pipeline AutoML tool for tabular data
#计算机科学#Machine Learning University: Decision Trees and Ensemble Methods
R package for automation of machine learning, forecasting, model evaluation, and model interpretation
Comparison tools
#自然语言处理#Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning
#计算机科学#An extension of CatBoost to probabilistic modelling
IJCAI-18 阿里妈妈搜索广告转化预测初赛方案
#计算机科学#Automatic machine learning for tabular data. ⚡🔥⚡
#计算机科学#AutoFlow : Automatic machine learning workflow modeling platform