microsoft/LightGBM

LightGBM is a gradient boosting framework that uses tree based learning algorithms. For further details, please refer to Features. Benefitting from these advantages, LightGBM is being widely-used in many winning solutions of machine learning competitions. Comparison experiments on public datasets show that LightGBM can outperform existing boosting frameworks on both efficiency and accuracy, with significantly lower memory consumption. What's more, parallel experiments show that LightGBM can achieve a linear speed-up by using multiple machines for training in specific settings.