HLTCHKUST / Mem2Seq

Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Oriented Dialog Systems

Date Created 2018-04-23 (6 years ago)

Commits 46 (last one 4 years ago)

Stargazers 353 (0 this week)

Watchers 15 (0 this week)

Forks 106

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Ranking

RepositoryStats indexes 584,353 repositories, of these HLTCHKUST/Mem2Seq is ranked #117,444 (80th percentile) for total stargazers, and #145,605 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #19,860/116,326.

HLTCHKUST/Mem2Seq is also tagged with popular topics, for these it's ranked: deep-learning (#2,550/8389)

Other Information

HLTCHKUST/Mem2Seq has 4 open pull requests on Github, 2 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 7 open issues and 22 closed issues.

All Topics

deep-learning memory-network dialogue-systems end-to-end-learning

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updated: 2024-09-03 @ 01:57pm, id: 130682052 / R_kgDOB8oMxA