huzongxiang / MatDGL

MatDGL is a neural network package that allows researchers to train custom models for crystal modeling tasks. It aims to accelerate the research and application of material science.

Date Created 2022-01-06 (2 years ago)

Commits 204 (last one 4 months ago)

Stargazers 63 (0 this week)

Watchers 9 (0 this week)

Forks 12

License mit

Ranking

RepositoryStats indexes 595,856 repositories, of these huzongxiang/MatDGL is ranked #402,313 (32nd percentile) for total stargazers, and #225,801 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #76,608/119,431.

huzongxiang/MatDGL is also tagged with popular topics, for these it's ranked: deep-learning (#6,335/8512), machine-learning (#6,028/8063), tensorflow (#1,799/2255), transformer (#744/1018), graph (#675/920), neural-networks (#557/728)

Other Information

There have been 15 releases, the latest one was published on 2022-04-08 (2 years ago)

All Topics

graph pretrain materials tensorflow transformer deep-learning massagepassing neural-networks machine-learning

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Recent Commit History

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

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No issues have been posted

Languages

The only known language in this repository is Python

updated: 2024-07-30 @ 11:39pm, id: 445102078 / R_kgDOGoe3_g