Ensemble Learning Frameworks

Tools, libraries, and implementations for combining multiple machine learning models through techniques like stacking, bagging, boosting, and dynamic selection to improve prediction accuracy and robustness. Does NOT include individual ensemble algorithms (Random Forest, XGBoost, Gradient Boosting) as standalone frameworks, nor applications of ensembles to specific domains.

There are 32 ensemble learning frameworks tracked. 4 score above 50 (established tier). The highest-rated is iamDecode/sklearn-pmml-model at 66/100 with 78 stars.

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#	Framework	Score	Tier	Stars	Language
1	iamDecode/sklearn-pmml-model A library to parse and convert PMML models into Scikit-learn estimators.	66	Established	78	Python
2	vecxoz/vecstack Python package for stacking (machine learning technique)	60	Established	699	Python
3	yzhao062/combo (AAAI' 20) A Python Toolbox for Machine Learning Model Combination	59	Established	661	Python
4	flennerhag/mlens ML-Ensemble – high performance ensemble learning	55	Established	863	Python
5	aws-samples/aws-machine-learning-university-dte Machine Learning University: Decision Trees and Ensemble Methods	49	Emerging	260	Jupyter Notebook
6	jeffrichardchemistry/pyECLAT A package for association analysis using the ECLAT method.	48	Emerging	26	Python
7	edikedik/eBoruta Flexible and transparent Python Boruta implementation	48	Emerging	15	Python
8	yzhao062/awesome-ensemble-learning Ensemble learning related books, papers, videos, and toolboxes	47	Emerging	308	Python
9	TorchEnsemble-Community/Ensemble-Pytorch A unified ensemble framework for PyTorch to improve the performance and...	45	Emerging	1,044	Python
10	enriquegit/multiviewstacking A python implementation of the Multi-View Stacking algorithm	42	Emerging	30	Python
11	sibirbil/LESS Learning with Subset Stacking	41	Emerging	24	Python
12	LocalCascadeEnsemble/LCE Random Forest or XGBoost? It is Time to Explore LCE	40	Emerging	70	Python
13	TikaaVo/deskit A Python library for Dynamic Ensemble Selection	37	Emerging	7	Python
14	nastiag67/ecgn Concepts used: kNN, SVM, boosting (XGBoost, Gradient boosting, Light GBM,...	36	Emerging	13	—
15	smarie/python-m5p An implementation of M5 and model trees in python, compliant with scikit-learn.	35	Emerging	24	Python
16	feedzai/feedzai-openml-r Implementations for Feedzai's OpenML APIs to allow for usage of machine...	34	Emerging	5	Java
17	haghish/autoEnsemble autoEnsemble : An AutoML Algorithm for Building Homogeneous and...	33	Emerging	7	R
18	RektPunk/RektGBM No-brainer model combining LightGBM and XGBoost with hyperparameter tuning...	31	Emerging	21	Python
19	GauravPandeyLab/eipy Ensemble Integration: a customizable pipeline for generating multi-modal,...	30	Emerging	21	Python
20	Haoning724/obbstacking Repo for the OBBStacking: An Ensemble Method for Remote Sensing Object Detection	27	Experimental	19	Python
21	kaushalshetty/Stacking Multiple Model Ensembling	27	Experimental	8	Python
22	SeungjaeLim/Crossfit-GBM_from_Scratch [KAIST-CS371] Machine Learing Term Projoect	24	Experimental	5	Jupyter Notebook
23	zemlyansky/boruta.js All-relevant feature selection method implemented in JavaScript	23	Experimental	3	JavaScript
24	HiddeFok/reg-mmd-scikit Scikit Implementation of the regMMD estimation and regression procedure	22	Experimental	—	Python
25	antoninschrab/mmdfuse MMD-FUSE package implementing the MMD-FUSE test proposed in MMD-FUSE:...	21	Experimental	11	Python
26	michalkurka/h2o-parallel-grid-search-benchmark Parallel Grid Search benchmark - H2O Machine Learning	21	Experimental	7	R
27	ewilk0/sklearn_special_ensembles A library that creates robust, special-purpose ensembles from sklearn-type...	20	Experimental	4	Python
28	Bhatwar195/Ensemble-Learning-Techniques-ML Implementation and explanation of Ensemble Learning algorithms including...	17	Experimental	1	Jupyter Notebook
29	pranay-surya/machine_learning_algorithms--Ensemble_learning Ensemble Learning is a machine learning technique that combines predictions...	16	Experimental	3	Jupyter Notebook
30	mickeyhqian/VoteEnsemble VoteEnsemble: Ensemble methods for machine/deep learning and stochastic...	14	Experimental	6	Python
31	elhamabedi/ensemble-learning Decision Tree & Ensemble Learning for Imbalanced Data	13	Experimental	—	Jupyter Notebook
32	antononcube/WL-ClassifierEnsembles-paclet WL paclet for making and executing classifier ensembles.	11	Experimental	—	Mathematica