PaccMann / chemical_representation_learning_for_toxicity_prediction

Chemical representation learning paper in Digital Discovery

Date Created 2020-09-09 (3 years ago)

Commits 49 (last one about a month ago)

Stargazers 49 (0 this week)

Watchers 8 (0 this week)

Forks 15

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RepositoryStats indexes 535,551 repositories, of these PaccMann/chemical_representation_learning_for_toxicity_prediction is ranked #437,745 (18th percentile) for total stargazers, and #236,193 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #11,082/14,956.

PaccMann/chemical_representation_learning_for_toxicity_prediction is also tagged with popular topics, for these it's ranked: deep-learning (#6,664/7833), pytorch (#4,711/5594)

Other Information

There have been 4 releases, the latest one was published on 2024-05-21 (about a month ago) with the name pypi_package.

Homepage URL: https://pubs.rsc.org/en/content/articlelanding/2023/dd/d2dd00099g

All Topics

qsar pytorch deep-learning chemoinformatics property-prediction toxicity-prediction

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

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updated: 2024-06-13 @ 12:26am, id: 294080599 / R_kgDOEYdQVw