floodsung/Deep-Learning-Papers-Reading-Roadmap

Maintenance

Dormant

Human commits, 30 days

0

Human commits, 90 days

0

Human commits, 365 days

0

Bot share of commits, 365 days

0%

Last commit

Feb 7, 2022 (4 years ago)

Last human commit

Feb 7, 2022 (4 years ago)

Authors, 90 days

0

Last release

none found

Median PR merge time

41 hours

Responsiveness: of 1 recent issues, n/a got a maintainer reply. Median first response: n/a.

• Only 1 recent issues can be checked for a response, too few to measure response time.
• 38 pull requests are open and nobody has committed in a year.

Sources: Commits, Releases, Merged pull requests, Issues

People

Owner

Personal account

Commits sampled

100 since Oct 19, 2016

Authors for half of commits

3

Authors for 80% of commits

12

Contributors

25

Top committers

• songrotek: 29% of commits
• Flood Sung: 18% of commits
• floodsung: 10% of commits
• Hrant-Khachatrian: 4% of commits
• Jelly King: 4% of commits

• No human commits in the last 365 days, so shares use the newest 100 commits back to 2016-10-19T10:45:08Z.

Sources: Commits, Contributors

Stars

Mostly organic, confidence medium

Bursts

• Dec 7, 2016 to Dec 12, 2016: about 166 more stars than usual, peak 70 in one day, a shape we can't classify. Outside explanation: a jump in forks, a jump in issues and pull requests.
• Jan 2, 2017 to Jan 4, 2017: about 137 more stars than usual, peak 72 in one day, a spike that tapers off. Outside explanation: a jump in forks.
• Feb 16, 2017 to Feb 17, 2017: about 52 more stars than usual, peak 44 in one day, a spike that tapers off. Outside explanation: a jump in forks.
• Mar 2, 2017 to Mar 9, 2017: about 230 more stars than usual, peak 61 in one day, a spike that tapers off. Outside explanation: a jump in forks.
• Jun 20, 2017 to Jun 21, 2017: about 53 more stars than usual, peak 54 in one day, a spike that tapers off. Outside explanation: a jump in forks.
• Sep 14, 2017 to Sep 16, 2017: about 67 more stars than usual, peak 48 in one day, a spike that tapers off. Outside explanation: a jump in forks, a jump in issues and pull requests.
• Jan 19, 2018 to Jan 20, 2018: about 62 more stars than usual, peak 61 in one day, a spike that tapers off. We couldn't check for an outside explanation.
• Sep 27, 2018 to Oct 1, 2018: about 153 more stars than usual, peak 80 in one day, a spike that tapers off. We couldn't check for an outside explanation.
• Jan 1, 2019 to Jan 4, 2019: about 346 more stars than usual, peak 166 in one day, a spike that tapers off. We couldn't check for an outside explanation.
• Dec 23, 2019 to Dec 30, 2019: about 287 more stars than usual, peak 126 in one day, a spike that tapers off. We couldn't check for an outside explanation.
• Jul 18, 2020 to Jul 30, 2020: about 1.2k more stars than usual, peak 318 in one day, a spike that tapers off. We couldn't check for an outside explanation.
• Nov 26, 2021 to Nov 29, 2021: about 114 more stars than usual, peak 77 in one day, a spike that tapers off. We couldn't check for an outside explanation.
• Dec 9, 2021 to Dec 16, 2021: about 343 more stars than usual, peak 85 in one day, a shape we can't classify. We couldn't check for an outside explanation.
• May 4, 2022 to May 7, 2022: about 89 more stars than usual, peak 47 in one day, a spike that tapers off. We couldn't check for an outside explanation.
• Oct 26, 2022 to Oct 27, 2022: about 51 more stars than usual, peak 35 in one day, a spike that tapers off. We couldn't check for an outside explanation.
• Jul 25, 2023 to Jul 29, 2023: about 80 more stars than usual, peak 32 in one day, a shape we can't classify. We couldn't check for an outside explanation.
• May 25, 2024 to May 27, 2024: about 69 more stars than usual, peak 42 in one day, a spike that tapers off. We couldn't check for an outside explanation.

Anyone can buy stars for any repo; bursts alone don't prove the owner did.

• Anyone can buy stars for any repo, so this describes the star history only.
• Engagement is not compared for non-code or mirror repositories.

Sources: How star history is analyzed

Risk

Flags

• Warning: GitHub finds no license for this repository, so default copyright rules apply and no reuse is granted. Details
• Info: The OpenSSF Scorecard for this project is 2.5 out of 10 (deps.dev). Details

License

Now

No license found

A year ago

Not known

Packages

No published packages found.

OpenSSF Scorecard: 2.5 out of 10 (via deps.dev).

Sources: GitHub: floodsung/Deep-Learning-Papers-Reading-Roadmap