Top 12 auto-sklearn alternatives

AutoGluon is an open-source AutoML framework that automates machine learning workflows, including feature engineering, m...

AutoKeras is an open-source AutoML library designed to automate the process of selecting and tuning neural network archi...

BoTorch is a library for Bayesian optimization and research, built on PyTorch. It provides tools for optimizing expensiv...

EvalML is an open-source AutoML library that automates the process of building, optimizing, and evaluating machine learn...

Feature Engine is a Python library that provides a collection of transformers for feature engineering and selection, des...

Featuretools is an open-source Python library for automated feature engineering, transforming raw data into meaningful f...

FLAML is a lightweight Python library designed for efficient automated machine learning (AutoML) and hyperparameter tuni...

HEBO is an open-source AutoML framework specializing in hyperparameter optimization, designed to efficiently tune machin...

Katib is a Kubernetes-native system for automated hyperparameter tuning and neural architecture search, designed to opti...

Optuna is an open-source hyperparameter optimization framework designed to automate the tuning of machine learning model...

OSS Vizier is a Python-based service designed for black-box optimization and research, specializing in hyperparameter tu...

Perpetual is an open-source AutoML tool focused on gradient boosting machines, designed to eliminate the need for manual...