ensemble-learning

Fast and Accurate ML in 3 Lines of Code

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.

Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.

Merlion: A Machine Learning Framework for Time Series Intelligence

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

A Julia machine learning framework

General Assembly's 2015 Data Science course in Washington, DC

😎 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

This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'

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.

An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

ML-Ensemble – high performance ensemble learning

Python package for stacking (machine learning technique)

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

Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.