songlab-cal / tape

Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.

Date Created 2019-12-09 (4 years ago)

Commits 344 (last one 3 years ago)

Stargazers 652 (0 this week)

Watchers 22 (0 this week)

Forks 129

License bsd-3-clause

Ranking

RepositoryStats indexes 564,918 repositories, of these songlab-cal/tape is ranked #72,653 (87th percentile) for total stargazers, and #99,763 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #11,475/111,200.

songlab-cal/tape is also tagged with popular topics, for these it's ranked: deep-learning (#1,707/8170), pytorch (#1,125/5820), dataset (#118/1103), benchmark (#100/728), semi-supervised-learning (#19/167)

Other Information

songlab-cal/tape has 4 open pull requests on Github, 23 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 24 open issues and 83 closed issues.

There have been 2 releases, the latest one was published on 2021-09-07 (3 years ago) with the name AWS hosting updates, minor bugfixes.

Homepage URL: https://www.biorxiv.org/content/10.1101/676825v1

All Topics

dataset pytorch benchmark deep-learning language-modeling protein-sequences protein-structure semi-supervised-learning

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updated: 2024-09-28 @ 12:55pm, id: 226796593 / R_kgDODYSkMQ