JOSS: https://github.com/josejimenezluna/pyGPGO
bayesian machine-learning optimization
Score: 7.479299637782834
Last synced: about 4 hours ago
JSON representation
Repository metadata:
Bayesian optimization for Python
- Host: GitHub
- URL: https://github.com/josejimenezluna/pyGPGO
- Owner: josejimenezluna
- License: mit
- Created: 2016-11-23T15:33:43.000Z (over 9 years ago)
- Default Branch: master
- Last Pushed: 2022-03-02T21:15:24.000Z (over 4 years ago)
- Last Synced: 2026-05-12T04:10:34.422Z (about 1 month ago)
- Topics: bayesian, machine-learning, optimization
- Language: Python
- Homepage: http://pygpgo.readthedocs.io
- Size: 59.5 MB
- Stars: 246
- Watchers: 9
- Forks: 62
- Open Issues: 7
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
Owner metadata:
- Name: José Jiménez-Luna
- Login: josejimenezluna
- Email:
- Kind: user
- Description: Driving drug discovery one gradient update at a time.
- Website: https://josejimenezluna.github.io/
- Location: Cambridge, UK
- Twitter: josejimlun
- Company: @MicrosoftResearch
- Icon url: https://avatars.githubusercontent.com/u/6875576?u=77a40b11125a675af3ee25c63836ee6074b08ccf&v=4
- Repositories: 27
- Last Synced at: 2023-08-17T12:47:37.734Z
- Profile URL: https://github.com/josejimenezluna
GitHub Events
Total
- Fork event: 1
- Watch event: 7
- Total: 8
Last Year
- Watch event: 2
- Total: 2
Committers metadata
Last synced: about 1 month ago
Total Commits: 291
Total Committers: 7
Avg Commits per committer: 41.571
Development Distribution Score (DDS): 0.302
Commits in past year: 0
Committers in past year: 0
Avg Commits per committer in past year: 0.0
Development Distribution Score (DDS) in past year: 0.0
| Name | Commits | |
|---|---|---|
| hawk31 | h****1@g****m | 203 |
| hawk31 | j****z@u****u | 46 |
| hawk31 | h****1@g****m | 35 |
| Anders Sjöberg | a****g@f****e | 3 |
| Jose Jimenez | j****z@r****h | 2 |
| Dan Foreman-Mackey | d****n@d****a | 1 |
| Connor Barnhill | c****l@b****o | 1 |
Issue and Pull Request metadata
Last synced: 10 months ago
Total issues: 27
Total pull requests: 5
Average time to close issues: 7 months
Average time to close pull requests: 15 days
Total issue authors: 22
Total pull request authors: 5
Average comments per issue: 2.04
Average comments per pull request: 1.2
Merged pull request: 3
Bot issues: 0
Bot pull requests: 0
Past year issues: 0
Past year pull requests: 0
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 0
Past year pull request authors: 0
Past year average comments per issue: 0
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- josejimenezluna (4)
- dfm (2)
- RemiDav (2)
- lilleswing (1)
- RHammond2 (1)
- jamesdj (1)
- miha-skalic (1)
- Daniel-Trung-Nguyen (1)
- melonwater211 (1)
- xunzhang (1)
- petersandersen (1)
- lucailvec (1)
- richardknudsen (1)
- xunhuan-li (1)
- borgricw (1)
Top Pull Request Authors
- Saizor (1)
- ConnorBarnhill (1)
- crawlingcub (1)
- dataronio (1)
- dfm (1)
Top Issue Labels
- enhancement (6)
- bug (2)
- dependency bug (1)
Top Pull Request Labels
Dependencies
- joblib *
- numpy *
- pymc3 *
- scikit-learn *
- scipy *
- theano *
- Theano-PyMC *
- joblib *
- mkl *
- numpy *
- pyMC3 *
- scikit-learn *
- scipy *