Kohulan / DECIMER-Image_Transformer

DECIMER Image Transformer is a deep-learning-based tool designed for automated recognition of chemical structure images. Leveraging transformer architectures, the model converts chemical images into SMILES strings, enabling the digitization of chemical data from scanned documents, literature, and patents.

Date Created 2020-09-07 (4 years ago)

Commits 317 (last one 2 months ago)

Stargazers 224 (0 this week)

Watchers 8 (0 this week)

Forks 53

License mit

Ranking

RepositoryStats indexes 600,333 repositories, of these Kohulan/DECIMER-Image_Transformer is ranked #167,682 (72nd percentile) for total stargazers, and #247,630 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #29,751/120,626.

Kohulan/DECIMER-Image_Transformer is also tagged with popular topics, for these it's ranked: python (#8,079/22446), deep-learning (#3,340/8559), tensorflow (#1,032/2261), transformers (#341/852)

Other Information

Kohulan/DECIMER-Image_Transformer has 1 open pull request on Github, 50 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 2 open issues and 56 closed issues.

There have been 14 releases, the latest one was published on 2024-11-04 (2 months ago) with the name v2.7.1.

All Topics

tpu python decimer tensorflow transformers deep-learning image-data-mining chemical-image-recognition

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232 commits on the default branch (master) since jan '22

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The only known language in this repository is Python

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updated: 2024-12-31 @ 05:45am, id: 293572361 / R_kgDOEX-PCQ