ML Performance and Extrapolation Guide
-
Updated
Apr 2, 2026 - Python
ML Performance and Extrapolation Guide
ASE with Rust hot paths — 12× faster neighbor lists, 6× faster VASP IO, 3.5× faster extxyz. Drop-in: pip install ase-fast
HH130 Database Process to Graphs
Add a description, image, and links to the machine-learning-interatomic-potentials topic page so that developers can more easily learn about it.
To associate your repository with the machine-learning-interatomic-potentials topic, visit your repo's landing page and select "manage topics."