sparks-baird / mat_discover

A materials discovery algorithm geared towards exploring high-performance candidates in new chemical spaces.

Date Created 2021-08-05 (2 years ago)

Commits 1,537 (last one 7 months ago)

Stargazers 35 (0 this week)

Watchers 1 (0 this week)

Forks 9

License mit

Ranking

RepositoryStats indexes 534,880 repositories, of these sparks-baird/mat_discover is ranked #497,936 (7th percentile) for total stargazers, and #497,515 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #95,047/103,597.

sparks-baird/mat_discover is also tagged with popular topics, for these it's ranked: python (#19,490/20457), machine-learning (#7,051/7374), pytorch (#5,331/5590)

Other Information

sparks-baird/mat_discover has 5 open pull requests on Github, 96 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 24 open issues and 11 closed issues.

There have been 24 releases, the latest one was published on 2023-06-23 (about a year ago) with the name Release 2.2.11.

Homepage URL: https://mat-discover.readthedocs.io/

All Topics

numba python crabnet pytorch matdiscover wasserstein adaptive-design machine-learning materials-project materials-science wasserstein-metric materials-discovery materials-screening earth-mover-distance wasserstein-distance bayesian-optimization earth-movers-distance materials-discoveries materials-informatics predict-materials-properties

Star History

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Watcher History

Github watchers over time, collection started in '23

Recent Commit History

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

Yearly Commits

Commits to the default branch (main) per year

Issue History

Languages

The only known language in this repository is Python

updated: 2024-03-24 @ 07:01am, id: 392897894 / R_kgDOF2slZg