Renumics/mesh2vec
Turn CAE mesh data => aggregated element feature vectors for ML
This tool helps Computer-Aided Engineering (CAE) analysts prepare their mesh data for machine learning. It takes LS-DYNA mesh files as input, analyzes element quality metrics and their surroundings, and outputs standardized feature vectors for each element. CAE engineers can use these vectors as direct input for machine learning models to automate mesh quality analysis.
Use this if you are a CAE analyst working with LS-DYNA mesh data and want to apply machine learning to analyze or predict mesh quality more efficiently.
Not ideal if your primary goal is interactive mesh manipulation or visualization without a focus on machine learning applications.
Stars
15
Forks
4
Language
KFramework
License
MIT
Category
Last pushed
Mar 13, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Renumics/mesh2vec"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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