Replaces standard GNNs with SE(3)-equivariant models for 3D molecular property prediction. Implements state-of-the-art geometric modeling techniques for drug discovery and materials science applications.
Tech Stack
PythonAI, ML & Data
Why Geom3D?
• Implements cutting-edge NeurIPS research
• Handles 3D geometric symmetries
• Pre-trained models for chemistry tasks
Limitations
• Research-grade code stability
• High mathematical entry barrier
• Requires specific 3D data formats
2/3/2026
Last Update
14
Forks
4
Issues
MIT
License
Financial Leak Detected
Stop the "SaaS Tax"
Your team could be burning cash. Switching to Geom3D instantly boosts your runway.
