Katib automates machine learning on Kubernetes, including hyperparameter tuning and neural architecture search.
AutoKeras
AutoKeras automates development of deep learning models through a machine learning library.

About AutoKeras
AutoKeras is an open-source AutoML library for deep learning, built on Keras. It is developed by the DATA Lab at Texas A&M University, and its stated goal is to make machine learning accessible to everyone. The README shows an image classification example in which a classifier is created, fitted to training data, and used to predict on test data.
The library is installed with pip. The source states that it is currently compatible only with Python 3.7 or later and TensorFlow 2.8.0 or later. Learning resources include official website tutorials, a book on automated machine learning, and LiveProjects on image classification. Questions are directed to GitHub Discussions, and the project describes a public process for planning contributions through GitHub issues and milestones.
Key features
- Image classifier created, trained with fit, and used with predict
- Installation as a Python package using pip
- Built on Keras, with TensorFlow as a required dependency
- Official tutorials, an automated machine learning book, and LiveProjects
- Community questions handled through GitHub Discussions
- Published contributing guide and issue-to-milestone planning on GitHub
- Released under the Apache-2.0 open source license
- Official tutorials and a book provide learning material
- Questions can be asked on GitHub Discussions
- Currently compatible only with Python 3.7 or later and TensorFlow 2.8.0 or later
AutoKeras at a glance
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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