HarrisonKramer/LensAI
Integrated Machine and Deep Learning for Optical Design
This project helps optical engineers and designers apply machine learning and deep learning to various optical design challenges. It takes in optical system parameters, ray tracing data, or wavefront measurements and outputs optimized lens properties, predictions for failures, or enhanced data. Optical engineers, physicists, and researchers working with optical systems would find this valuable.
Use this if you are an optical engineer looking to automate lens design, predict optical system performance, or generate new lens designs using AI techniques like machine learning and deep learning.
Not ideal if you are looking for a standalone, user-friendly software application for general optical design that doesn't require familiarity with programming or AI concepts.
Stars
68
Forks
7
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Oct 16, 2025
Commits (30d)
0
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