- auto-sklearn
- Framework to automate algorithm and hyperparameter tuning for sklearn
- AutoML-GS
- Automatic feature and model search with code generation in Python, on top of common data science libraries (tensorflow, sklearn, etc)
- automl
- Automated feature engineering, feature/model selection, hyperparam. optimisation
- Colombus - A scalable framework to perform exploratory feature selection implemented in R
- Feature Engine
- Feature-engine is a Python library that contains several transformers to engineer features for use in machine learning models.
- Featuretools - An open source framework for automated feature engineering
- sklearn-deap
Use evolutionary algorithms instead of gridsearch in scikit-learn.
- TPOT
- Automation of sklearn pipeline creation (including feature selection, pre-processor, etc)
- tsfresh
- mljar-supervised
- An Automated Machine Learning (AutoML) python package for tabular data. It can handle: Binary Classification, MultiClass Classification and Regression. It provides feature engineering, explanations and markdown reports.
