rentruewang/aioway
AI on the way. An RDBMS approach to deep learning. Declarative, explainable, scalable, optimizable, easy to deploy, all that good stuff.
This project helps machine learning engineers and data scientists build and deploy deep learning models more easily. Instead of manually selecting algorithms and managing low-level tensor operations, you define the problem, and the system automatically chooses and optimizes models. The output is a transparent, scalable, and high-performing deep learning model ready for various tasks.
1,828 stars. Actively maintained with 33 commits in the last 30 days.
Use this if you are a machine learning engineer or data scientist looking to simplify deep learning model development, deployment, and scaling without getting bogged down in algorithm selection and low-level details.
Not ideal if you need fine-grained control over every aspect of model architecture and optimization, or if you prefer to hand-code all deep learning components from scratch.
Stars
1,828
Forks
64
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 15, 2026
Commits (30d)
33
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