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.