12 dependents
| Package | Description | Downloads/month |
|---|---|---|
| Atomistic Line Graph Neural Networks https://atomgptlab.github.io/alignn/ https... | 11K | |
| EXcellent PRoperty Extractor and Serializer. | 4K | |
| Explore State-of-the-Art Materials Design Methods: https://www.nature.com/articl... | 2K | |
| agapi | 987 | |
| Our version of the NIST-JARVIS ALIGNN optimized in terms of model performance an... | 454 | |
| https://atomgpt.org | 355 | |
| neural force field learning toolkit | 340 | |
| Materials structure and properties retrival from various databases. | 319 | |
| diffractgpt | 100 | |
| Evaluation of universal machine learning force-fields https://doi.org/10.1021/ac... | 79 | |
| CrystalGen: Generative atomistic materials design toolkit | 69 | |
| ifea | 68 |
