lightgbm

Microsoft Distributed Machine Learning Toolkit

A library for debugging/inspecting machine learning classifiers and explaining their predictions

Time Series Forecasting Best Practices & Examples

A collection of research papers on decision, classification and regression trees with implementations.

[UNMAINTAINED] Automated machine learning for analytics & production

MLBox is a powerful Automated Machine Learning python library.

Precompiled packages for AWS Lambda

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.

A curated list of gradient boosting research papers with implementations.

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

A full pipeline AutoML tool for tabular data

REST web service for the true real-time scoring (<1 ms) of Scikit-Learn, R and Apache Spark models

AI比赛相关信息汇总

Open solution to the Home Credit Default Risk challenge 🏡

Open solution to the Mapping Challenge 🌎

本人多次机器学习与大数据竞赛Top5的经验总结，满满的干货，拿好不谢

pure Go implementation of prediction part for GBRT (Gradient Boosting Regression Trees) models from popular frameworks

Code for WWW'19 "Unbiased LambdaMART: An Unbiased Pairwise Learning-to-Rank Algorithm", which is based on LightGBM

Performance of various open source GBM implementations

5th place solution for Kaggle competition Favorita Grocery Sales Forecasting

R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, recommenders, and EDA.

Neptune client library - integrate your Python scripts with Neptune

A tour through recommendation algorithms in python [IN PROGRESS]

Comparison tools