Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/apax-hub/apax
A flexible and performant framework for training machine learning potentials.
https://github.com/apax-hub/apax
computational-chemistry force-fields interatomic-potentials jax machine-learning materials-science molecular-dynamics quantum-chemistry
Last synced: 3 months ago
JSON representation
A flexible and performant framework for training machine learning potentials.
- Host: GitHub
- URL: https://github.com/apax-hub/apax
- Owner: apax-hub
- License: mit
- Created: 2022-11-18T12:31:19.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-07-31T15:17:56.000Z (3 months ago)
- Last Synced: 2024-08-01T03:59:42.018Z (3 months ago)
- Topics: computational-chemistry, force-fields, interatomic-potentials, jax, machine-learning, materials-science, molecular-dynamics, quantum-chemistry
- Language: Python
- Homepage:
- Size: 3.58 MB
- Stars: 14
- Watchers: 4
- Forks: 1
- Open Issues: 18
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- best-of-atomistic-machine-learning - GitHub - 8% open · ⏱️ 22.10.2024): (Interatomic Potentials (ML-IAP))