IntelLabs / matsciml

Open MatSci ML Toolkit is a framework for prototyping and scaling out deep learning models for materials discovery supporting widely used materials science datasets, and built on top of PyTorch Lightning, the Deep Graph Library, and PyTorch Geometric.

Date Created 2022-09-13 (2 years ago)

Commits 2,659 (last one a day ago)

Stargazers 152 (1 this week)

Watchers 5 (0 this week)

Forks 25

License mit

Ranking

RepositoryStats indexes 585,880 repositories, of these IntelLabs/matsciml is ranked #217,718 (63rd percentile) for total stargazers, and #332,676 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #39,308/116,710.

IntelLabs/matsciml is also tagged with popular topics, for these it's ranked: pytorch (#2,866/5958), ai (#1,709/3901)

Other Information

IntelLabs/matsciml has 7 open pull requests on Github, 167 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 22 open issues and 43 closed issues.

There have been 2 releases, the latest one was published on 2023-08-31 (about a year ago) with the name Open MatSci ML Toolkit - v1.0.0.

All Topics

ai dgl pytorch pytorch-lightning

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2,659 commits on the default branch (main) since jan '22

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The primary language is Python but there's also others...

updated: 2024-11-24 @ 02:43am, id: 536298092 / R_kgDOH_dCbA