janosh / matbench-discovery

An evaluation framework for machine learning models simulating high-throughput materials discovery.

Date Created 2022-06-20 (2 years ago)

Commits 342 (last one 7 days ago)

Stargazers 76 (1 this week)

Watchers 8 (0 this week)

Forks 9

License mit

Ranking

RepositoryStats indexes 534,880 repositories, of these janosh/matbench-discovery is ranked #327,119 (39th percentile) for total stargazers, and #236,088 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #59,792/103,597.

janosh/matbench-discovery is also tagged with popular topics, for these it's ranked: machine-learning (#5,101/7374)

Other Information

janosh/matbench-discovery has Github issues enabled, there are 4 open issues and 29 closed issues.

There have been 5 releases, the latest one was published on 2024-05-30 (about a month ago) with the name v1.1.2.

Homepage URL: https://matbench-discovery.materialsproject.org

All Topics

convex-hull machine-learning materials-discovery bayesian-optimization interatomic-potential high-throughput-search

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

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updated: 2024-06-28 @ 08:16am, id: 505555974 / R_kgDOHiIsBg