Other Automated Machine Learning (AutoML) tools and related projects:

Name | Language | License | Description
--- | --- | --- | ---
Auto-WEKA | Java | GPL-v3 | Automated model selection and hyper-parameter tuning for Weka models.
auto-sklearn | Python | BSD-3-Clause | An automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator.
auto_ml | Python | MIT | Automated machine learning for analytics & production. Supports manual feature type declarations.
H2O AutoML | Java with Python, Scala & R APIs and web GUI | Apache 2.0 | Automated: data prep, hyperparameter tuning, random grid search and stacked ensembles in a distributed ML platform.
devol | Python | MIT | Automated deep neural network design via genetic programming.
MLBox | Python | BSD-3-Clause | Accurate hyper-parameter optimization in high-dimensional space with support for distributed computing.
Recipe | C | GPL-v3 | Machine-learning pipeline optimization through genetic programming. Uses grammars to define pipeline structure.
Xcessiv | Python | Apache 2.0 | A web-based application for quick, scalable, and automated hyper-parameter tuning and stacked ensembling in Python.
GAMA | Python | Apache 2.0 | Machine-learning pipeline optimization through asynchronous evaluation based genetic programming.