Machine learning operators for geometry processing (Python)
Integration of neural operators with geometric processing:
- FNO/GNO - Fourier and Graph Neural Operators
- G-CNN - Group-equivariant convolutions for geometry
- LLM Bridge - Natural language to SST compilation
Work in progress - see documentation for planned architecture.
- ML Integration - Neural operator framework
- LLM-SST Bridge - Prompt-driven geometry synthesis