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 30 ensemble learning frameworks tracked. 1 score above 70 (verified tier). The highest-rated is iamDecode/sklearn-pmml-model at 75/100 with 78 stars and 5,719 monthly downloads.

Get all 30 projects as JSON

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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.	75	Verified	78	Python
2	yzhao062/combo (AAAI' 20) A Python Toolbox for Machine Learning Model Combination	69	Established	661	Python
3	flennerhag/mlens ML-Ensemble – high performance ensemble learning	62	Established	863	Python
4	vecxoz/vecstack Python package for stacking (machine learning technique)	60	Established	699	Python
5	enriquegit/multiviewstacking A python implementation of the Multi-View Stacking algorithm	50	Established	30	Python
6	aws-samples/aws-machine-learning-university-dte Machine Learning University: Decision Trees and Ensemble Methods	49	Emerging	260	Jupyter Notebook
7	jeffrichardchemistry/pyECLAT A package for association analysis using the ECLAT method.	48	Emerging	26	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	edikedik/eBoruta Flexible and transparent Python Boruta implementation	45	Emerging	15	Python
11	TikaaVo/deskit A Python library for Dynamic Ensemble Selection	41	Emerging	7	Python
12	LocalCascadeEnsemble/LCE Random Forest or XGBoost? It is Time to Explore LCE	40	Emerging	70	Python
13	sibirbil/LESS Learning with Subset Stacking	34	Emerging	24	Python
14	nastiag67/ecgn Concepts used: kNN, SVM, boosting (XGBoost, Gradient boosting, Light GBM,...	29	Experimental	13	—
15	smarie/python-m5p An implementation of M5 and model trees in python, compliant with scikit-learn.	28	Experimental	24	Python
16	RektPunk/RektGBM No-brainer model combining LightGBM and XGBoost with hyperparameter tuning...	28	Experimental	21	Python
17	feedzai/feedzai-openml-r Implementations for Feedzai's OpenML APIs to allow for usage of machine...	27	Experimental	5	Java
18	haghish/autoEnsemble autoEnsemble : An AutoML Algorithm for Building Homogeneous and...	26	Experimental	7	R
19	GauravPandeyLab/eipy Ensemble Integration: a customizable pipeline for generating multi-modal,...	23	Experimental	21	Python
20	HiddeFok/reg-mmd-scikit Scikit Implementation of the regMMD estimation and regression procedure	22	Experimental	—	Python
21	Haoning724/obbstacking Repo for the OBBStacking: An Ensemble Method for Remote Sensing Object Detection	20	Experimental	19	Python
22	kaushalshetty/Stacking Multiple Model Ensembling	20	Experimental	8	Python
23	ewilk0/sklearn_special_ensembles A library that creates robust, special-purpose ensembles from sklearn-type...	17	Experimental	4	Python
24	SeungjaeLim/Crossfit-GBM_from_Scratch [KAIST-CS371] Machine Learing Term Projoect	17	Experimental	5	Jupyter Notebook
25	pranay-surya/machine_learning_algorithms--Ensemble_learning Ensemble Learning is a machine learning technique that combines predictions...	17	Experimental	3	Jupyter Notebook
26	zemlyansky/boruta.js All-relevant feature selection method implemented in JavaScript	16	Experimental	3	JavaScript
27	Bhatwar195/Ensemble-Learning-Techniques-ML Implementation and explanation of Ensemble Learning algorithms including...	15	Experimental	1	Jupyter Notebook
28	michalkurka/h2o-parallel-grid-search-benchmark Parallel Grid Search benchmark - H2O Machine Learning	14	Experimental	7	R
29	antoninschrab/mmdfuse MMD-FUSE package implementing the MMD-FUSE test proposed in MMD-FUSE:...	14	Experimental	11	Python
30	elhamabedi/ensemble-learning Decision Tree & Ensemble Learning for Imbalanced Data	11	Experimental	—	Jupyter Notebook