Notes-on-Decision-Trees-and-Random-Forests

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Merlion: A Machine Learning Framework for Time Series Intelligence

A Julia machine learning framework

? Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切：论文、代码、框架与库

A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.

A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.

Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.

M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.

(AAAI' 20) A Python Toolbox for Machine Learning Model Combination

useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html