rk2900 / DRSA

Deep Recurrent Survival Analysis, an auto-regressive deep model for time-to-event data analysis with censorship handling. An implementation of our AAAI 2019 paper and a benchmark for several (Python) implemented survival analysis methods.

Date Created 2018-02-10 (6 years ago)
Commits 74 (last one 3 years ago)
Stargazers 139 (0 this week)
Watchers 8 (0 this week)
Forks 57
License unknown
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RepositoryStats indexes 585,880 repositories, of these rk2900/DRSA is ranked #231,768 (60th percentile) for total stargazers, and #244,999 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #42,131/116,710.

rk2900/DRSA is also tagged with popular topics, for these it's ranked: deep-learning (#4,281/8407),  machine-learning (#3,988/7943),  data-science (#1,143/2108)

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rk2900/DRSA has Github issues enabled, there are 4 open issues and 12 closed issues.

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updated: 2024-10-05 @ 12:39am, id: 120989515 / R_kgDOBzYnSw