tbepler / protein-sequence-embedding-iclr2019

Source code for "Learning protein sequence embeddings using information from structure" - ICLR 2019

Date Created 2019-02-22 (5 years ago)

Commits 7 (last one 3 years ago)

Stargazers 253 (0 this week)

Watchers 11 (0 this week)

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RepositoryStats indexes 534,880 repositories, of these tbepler/protein-sequence-embedding-iclr2019 is ranked #142,409 (73rd percentile) for total stargazers, and #185,249 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #24,205/103,597.

tbepler/protein-sequence-embedding-iclr2019 is also tagged with popular topics, for these it's ranked: deep-learning (#2,944/7826), pytorch (#2,032/5590), language-model (#198/459)

Other Information

tbepler/protein-sequence-embedding-iclr2019 has 3 open pull requests on Github, 0 pull requests have been merged over the lifetime of the repository.

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All Topics

pytorch deep-learning language-model protein-modeling protein-sequence protein-embedding protein-structure recurrent-neural-networks protein-representation-learning

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updated: 2024-05-18 @ 02:30pm, id: 172108299 / R_kgDOCkIqCw