AutoKeras

Effortless Deep Learning with AutoML

AutoKeras is an open-source AutoML system built on Keras and TensorFlow, designed to democratize machine learning by automating the complex steps of model design and training. Developed by the DATA Lab at Texas A&M University, AutoKeras empowers both beginners and experts to build powerful deep learning models with minimal coding and configuration.

Key Features:

  • AutoML for Deep Learning: Automates model selection, tuning, and training
  • Minimal Code Required: Build and deploy models in just a few lines
  • Multi-Modal Support: Works with image, text, and structured data
  • Built on Keras/TensorFlow: Leverages robust deep learning backend
  • Extensible & Open-Source: Fully customizable and community-supported
  • Cross-Platform Compatibility: Supports Docker and Python-based environments

AutoKeras supports a wide range of extensions and runs smoothly on Python 3.7+ with TensorFlow 2.8+. It also offers Docker support and community-driven GitHub discussions for troubleshooting and collaboration.

Whether you're a student, data scientist, or AI researcher, AutoKeras simplifies the deep learning workflow—allowing you to focus on insights, not infrastructure.

For more information, visit AutoKeras.

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