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 29 days ago)

Stargazers 216 (3 this week)

Watchers 7 (0 this week)

Forks 52

License mit

Ranking

RepositoryStats indexes 589,134 repositories, of these Kohulan/DECIMER-Image_Transformer is ranked #169,952 (71st percentile) for total stargazers, and #270,214 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #30,068/117,584.

Kohulan/DECIMER-Image_Transformer is also tagged with popular topics, for these it's ranked: python (#8,156/22145), deep-learning (#3,387/8438), tensorflow (#1,043/2246), transformers (#337/837)

Other Information

There have been 14 releases, the latest one was published on 2024-11-04 (29 days 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: 2024-12-02 @ 07:59am, id: 293572361 / R_kgDOEX-PCQ