Popular GitHub Repositories for Decision Trees

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.

A python library for decision tree visualization and model interpretation.

A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.

Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet

A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.

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

A python library to build Model Trees with Linear Models at the leaves.

Simple machine learning library / 簡單易用的機器學習套件

Machine Learning University: Decision Trees and Ensemble Methods

Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles

Introduction, selected papers and possible corresponding codes in our review paper "A Survey of Neural Trees"

Fast Differentiable Forest lib with the advantages of both decision trees and neural networks

TEM: Tree-enhanced Embedding Model for Explainable Recommendation, WWW2018

Real time face landmarking using decision trees and NN autoencoders

[ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples

Data Science, Machine Learning, Deep Learning, NLP, Python & Library's cheat Sheet - Interview Questions & Notes

Repository containing introduction to scikit-learn to provide hands-on problem solving experience for all the methods and models learnt in MLT.

Final project of IBM's course https://www.coursera.org/learn/machine-learning-with-python on coursera

"A collection of behavior tree scripts for developing game AI."