Ensemble Learning

AutoGluonPython

An automated machine learning library that trains and deploys high-accuracy models for tabular, text, image, and time series data with minimal code.

auto-sklearnPython

An automated machine learning toolkit that serves as a drop-in replacement for scikit-learn estimators.

h2oJupyter Notebook

An open-source, in-memory platform for distributed and scalable machine learning with support for a wide range of algorithms and big data technologies.

MLxtendPython

A Python library providing extensions and utilities for data science and machine learning tasks.

mljar-supervisedPython

An Automated Machine Learning Python package for tabular data with feature engineering, hyperparameter tuning, explanations, and automatic documentation.

decisiontreeRuby

A Ruby library implementing the ID3 algorithm for decision tree learning with support for continuous and discrete datasets.

XcessivPython

A web-based tool for automated hyperparameter tuning and stacked ensemble creation in Python.

mlensPython

A Python library for building high-performance, memory-efficient ensemble learning networks with a Scikit-learn compatible API.

vecstackPython

A Python package for stacking (stacked generalization) with both functional and scikit-learn compatible APIs.

imbalanced-ensemblePython

A Python library for class-imbalanced ensemble learning with 30+ algorithms, built on scikit-learn.

brushfireScala

A Scala framework for distributed supervised learning of decision tree ensemble models, inspired by Google's PLANET.

SuperLearnerR

An R package for automatic optimal predictor ensembling via cross-validation with dozens of machine learning algorithms.

StackingPython

A Python library for stacked generalization (ensemble learning) that supports scikit-learn, XGBoost, and Keras models with out-of-fold prediction saving.

AtomAIPython

A PyTorch-based Python package for deep and machine learning analysis of microscopy data, designed for domain scientists.

ShapleyPython

A Python library for evaluating binary classifiers in machine learning ensembles using Shapley value computation and approximation methods.

open-solution-toxic-commentsPython

An open-source starter solution for the Kaggle Toxic Comment Classification Challenge, providing ready-to-use machine learning pipelines for detecting online harassment.

RFGo

A parallel Random Forest implementation in Go for classification and regression tasks.

sigopt_sklearnPython

A Python library providing SigOpt hyperparameter optimization wrappers for scikit-learn and XGBoost models.