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 (about a month ago)

Commits 50 (last one 10 hours ago)

Stargazers 29 (24 this week)

Watchers 6 (0 this week)

Forks 2

License mit

Ranking

RepositoryStats indexes 589,668 repositories, of these basf/mlipx is ranked #568,969 (4th percentile) for total stargazers, and #299,101 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #112,806/117,716.

basf/mlipx is also tagged with popular topics, for these it's ranked: machine-learning (#7,815/7986)

Other Information

basf/mlipx has 1 open pull request on Github, 29 pull requests have been merged over the lifetime of the repository.

There have been 3 releases, the latest one was published on 2024-11-26 (8 days ago) with the name v0.1.2.

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

All Topics

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

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

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Languages

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

updated: 2024-12-04 @ 10:36am, id: 874669404 / R_kgDONCJlXA