Automated Machine Learning (AutoML) is receiving increased attention with more and more tools and software libraries released to ease the process of automating the machine learning pipeline, particularly algorithm selection and configuration.
We have created a table of some of the more promising AutoML tools and software libraries. We plan to maintain this list and extend it in the near future.
If you would like to add a tool, have your tool removed or if we have misattributed a maintainer, please feel free to contact us or leave a comment!
Open Source AutoML Tools:
|Tool||Built on||Maintainer||Source||Last Updated|
|Auto-WEKA||WEKA||Lars Kotthoff et al.||Github||Aug 30, 2017|
|Auto-sklearn||scikit-learn||Matthias Feurer et al.||Github||Jan 22, 2020|
|AutoKeras||Keras||DATA Lab, Texas A&M University||Github||Apr 8, 2020|
|Tpot||scikit-learn||Computational Genetics Lab at the University of Pennsylvania||Github||Mar 31,2020|
|H2O automl||H2O||H2O ai||Github||Feb 8, 2020|
|AdaNet||TensorFlow||Charles Weill, Eugen Hotaj et al.||Github||Feb 4, 2020|
|MLjar||MLjar-supervised||Piotr||Github||Apr 8, 2020|
|Ludwig||TensorFlow||Uber||Github||Apr 2, 2020|
|Felix Mohr||Github||Jan 24, 2020|
|MLBOX||scikit-learn||Axel||Github||Oct 9, 2019|
|Auto-PyTorch||PyTorch||AutoML Group Freiburg||Github||Mar 23, 2020|
|TransmorgrifAI||Apache Spark||Salesforce||Github||Mar 27, 2020|
|automl-gs||TensorFlow||Max Woolf||Github||Apr 5, 2019|
|Azure Machine Learning||ML.NET||Microsoft||Github||Apr 8, 2020|