basf / mlipx

Machine-Learned Interatomic Potential eXploration (mlipx) is designed at BASF for evaluating machine-learned interatomic potentials (MLIPs). It offers a growing set of evaluation methods alongside powerful visualization and comparison tools.

Date Created 2024-10-18 (2 months ago)

Commits 56 (last one 26 days ago)

Stargazers 62 (0 this week)

Watchers 7 (0 this week)

Forks 5

License mit

Ranking

RepositoryStats indexes 601,665 repositories, of these basf/mlipx is ranked #409,569 (32nd percentile) for total stargazers, and #272,671 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #78,213/120,920.

basf/mlipx is also tagged with popular topics, for these it's ranked: machine-learning (#6,100/8118)

Other Information

basf/mlipx has Github issues enabled, there are 2 open issues and 2 closed issues.

There have been 4 releases, the latest one was published on 2024-12-12 (26 days ago) with the name v0.1.3.

Homepage URL: https://mlipx.readthedocs.io

All Topics

mlips machine-learning testing-framework materials-informatics interatomic-potentials

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Recent Commit History

56 commits on the default branch (main) since jan '22

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The primary language is Python but there's also others...

updated: 2025-01-04 @ 08:21am, id: 874669404 / R_kgDONCJlXA