There are 17 repositories under ensemble-learning topic.
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.
AutoGluon: AutoML for Image, Text, and Tabular Data
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.
General Assembly's 2015 Data Science course in Washington, DC
A Julia machine learning framework
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.
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 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.
An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)
ML-Ensemble – high performance ensemble learning
Python package for stacking (machine learning technique)
(AAAI' 20) A Python Toolbox for Machine Learning Model Combination
A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.
RMDL: Random Multimodel Deep Learning for Classification
A Python library for dynamic classifier and ensemble selection
useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html
Machine learning for C# .Net
A package that makes it trivial to create and evaluate machine learning pipeline architectures.
도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.
Ensemble learning related books, papers, videos, and toolboxes
Scikit-learn compatible estimation of general graphical models
A full pipeline AutoML tool for tabular data
ICDE'20 | A general & effective ensemble framework for imbalanced classification. | 泛用，高效，鲁棒的类别不平衡学习框架
Stacked Generalization (Ensemble Learning)
The 2nd place Solution to the Youtube-8M Video Understanding Challenge by Team Monkeytyping (based on tensorflow)
Federated Knowledge Extraction Framework
The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
Data stream analytics: Implement online learning methods to address concept drift in data streams using the River library. Code for the paper entitled "PWPAE: An Ensemble Framework for Concept Drift Adaptation in IoT Data Streams" accepted in IEEE GlobeCom 2021.
DeepSuperLearner - Python implementation of the deep ensemble algorithm
Fully automatic brain tumour segmentation using Deep 3-D convolutional neural networks
Dataflow Programming for Machine Learning in R