janosh / matbench-discovery

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

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

Commits 395 (last one 15 hours ago)

Stargazers 107 (0 this week)

Watchers 8 (0 this week)

Forks 17

License mit

Ranking

RepositoryStats indexes 584,777 repositories, of these janosh/matbench-discovery is ranked #277,824 (52nd percentile) for total stargazers, and #244,849 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #51,223/116,437.

janosh/matbench-discovery is also tagged with popular topics, for these it's ranked: machine-learning (#4,586/7935)

Other Information

janosh/matbench-discovery has Github issues enabled, there are 3 open issues and 36 closed issues.

There have been 8 releases, the latest one was published on 2024-09-11 (2 months ago) with the name v1.3.1.

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

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updated: 2024-11-21 @ 07:36am, id: 505555974 / R_kgDOHiIsBg