IDEALLab/EngiOpt
Learning and optimization algorithms compatible with EngiBench
This project provides pre-built machine learning and optimization algorithms specifically for engineering design. You can input your engineering problem specifications and it generates novel design solutions, such as shapes or material compositions, or helps predict performance. It's ideal for engineers and researchers who need to explore many design variations or optimize complex systems efficiently.
Use this if you are an engineering designer or researcher needing to automate the generation of innovative designs or predict system performance for complex engineering problems.
Not ideal if you are looking for a general-purpose machine learning library not specifically tailored for engineering design optimization.
Stars
15
Forks
6
Language
Jupyter Notebook
License
GPL-3.0
Category
Last pushed
Mar 13, 2026
Commits (30d)
0
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