A collection of research papers on decision, classification and regressi...
A minimal benchmark for scalability, speed and accuracy of commonly used...
A curated list of gradient boosting research papers with implementations.
Examples of techniques for training interpretable ML models, explaining ...
A Lightweight Decision Tree Framework supporting regular algorithms: ID3...
useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user...
Machine learning for C# .Net
Tiny Gradient Boosting Tree
Performance of various open source GBM implementations
Gradient Boosting powered by GPU(NVIDIA CUDA)
Building Decision Trees From Scratch In Python
Showcase for using H2O and R for churn prediction (inspired by ZhouFang9...
An example project that predicts house prices for a Kaggle competition u...
Programmable Decision Tree Framework