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 (5 months ago)

Commits 68 (last one about a month ago)

Stargazers 73 (0 this week)

Watchers 6 (0 this week)

Forks 6

License mit

Ranking

RepositoryStats indexes 630,459 repositories, of these basf/mlipx is ranked #379,418 (40th percentile) for total stargazers, and #289,145 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #72,975/128,655.

basf/mlipx is also tagged with popular topics, for these it's ranked: machine-learning (#5,775/8383)

Other Information

basf/mlipx has 1 open pull request on Github, 49 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 2 open issues and 5 closed issues.

There have been 4 releases, the latest one was published on 2024-12-12 (3 months 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

68 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: 2025-03-22 @ 11:39am, id: 874669404 / R_kgDONCJlXA