JOSS: https://github.com/bayesflow-org/bayesflow
amortized-inference bayesian-statistics computational-modeling deep-learning generative-ai generative-models neural-networks simulation-based-inference
Score: 9.94798279242268
Last synced: about 14 hours ago
JSON representation
Repository metadata:
A Python library for efficient Bayesian modeling with deep learning
- Host: GitHub
- URL: https://github.com/bayesflow-org/bayesflow
- Owner: bayesflow-org
- License: mit
- Created: 2019-11-17T06:53:05.000Z (over 6 years ago)
- Default Branch: main
- Last Pushed: 2026-05-22T17:22:25.000Z (about 1 month ago)
- Last Synced: 2026-05-22T20:44:44.138Z (about 1 month ago)
- Topics: amortized-inference, bayesian-statistics, computational-modeling, deep-learning, generative-ai, generative-models, neural-networks, simulation-based-inference
- Language: Python
- Homepage: https://bayesflow.org/
- Size: 737 MB
- Stars: 666
- Watchers: 12
- Forks: 82
- Open Issues: 31
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Citation: CITATION.cff
Owner metadata:
- Name: BayesFlow
- Login: bayesflow-org
- Email:
- Kind: organization
- Description: An organization for applications and extensions of amortized Bayesian inference.
- Website:
- Location: Germany
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/135721600?v=4
- Repositories: 1
- Last Synced at: 2023-07-03T07:58:55.412Z
- Profile URL: https://github.com/bayesflow-org
GitHub Events
Total
- Commit comment event: 1
- Create event: 110
- Delete event: 91
- Fork event: 25
- Issue comment event: 914
- Issues event: 227
- Member event: 5
- Pull request event: 372
- Pull request review comment event: 292
- Pull request review event: 308
- Push event: 872
- Release event: 7
- Watch event: 228
- Total: 3452
Last Year
- Commit comment event: 1
- Create event: 101
- Delete event: 87
- Fork event: 22
- Issue comment event: 851
- Issues event: 202
- Member event: 3
- Pull request event: 347
- Pull request review comment event: 292
- Pull request review event: 305
- Push event: 785
- Release event: 7
- Watch event: 203
- Total: 3206
Committers metadata
Last synced: about 1 month ago
Total Commits: 2,461
Total Committers: 30
Avg Commits per committer: 82.033
Development Distribution Score (DDS): 0.602
Commits in past year: 157
Committers in past year: 14
Avg Commits per committer in past year: 11.214
Development Distribution Score (DDS) in past year: 0.656
| Name | Commits | |
|---|---|---|
| stefanradev93 | s****3@g****m | 979 |
| LarsKue | l****s@k****e | 701 |
| Valentin Pratz | g****t@v****e | 218 |
| marvinschmitt | m****l@m****e | 130 |
| Paul-Christian Bürkner | p****r@g****m | 74 |
| han-ol | g****@h****m | 51 |
| Chase-Grajeda | c****a@g****m | 45 |
| elseml | 6****l | 40 |
| rene-bucchia | r****a@g****m | 38 |
| Xenovortex | L****n@g****e | 31 |
| Leona Odole | e****e@u****u | 26 |
| arrjon | j****a@u****e | 16 |
| Yannik Schaelte | y****e@g****m | 16 |
| Pritom Gogoi | p****1@g****m | 14 |
| Kucharssim | k****m@g****m | 14 |
| MarcoD | m****2@g****m | 12 |
| Radev | r****s@w****u | 10 |
| Jerry | a****h@g****m | 9 |
| dependabot[bot] | 4****] | 8 |
| AlexAndorra | a****e@g****m | 6 |
| Lukas Schumacher | 3****r | 6 |
| Andreas Fehlner | f****r@a****e | 5 |
| leonhard volz | 4****z | 3 |
| Alexander | a****r@g****e | 2 |
| Daniel Habermann | 1****n | 2 |
| Eric N. Brown | e****n | 1 |
| desi | d****a@g****m | 1 |
| noahg2 | 6****2 | 1 |
| Jonas Jürgensen | j****n@J****x | 1 |
| zimea | l****n@o****e | 1 |
Issue and Pull Request metadata
Last synced: 8 months ago
Total issues: 150
Total pull requests: 357
Average time to close issues: 24 days
Average time to close pull requests: 5 days
Total issue authors: 29
Total pull request authors: 18
Average comments per issue: 1.87
Average comments per pull request: 2.53
Merged pull request: 260
Bot issues: 0
Bot pull requests: 0
Past year issues: 129
Past year pull requests: 344
Past year average time to close issues: 12 days
Past year average time to close pull requests: 4 days
Past year issue authors: 26
Past year pull request authors: 18
Past year average comments per issue: 1.62
Past year average comments per pull request: 2.57
Past year merged pull request: 256
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- vpratz (49)
- LarsKue (17)
- han-ol (12)
- marvinschmitt (8)
- stefanradev93 (8)
- paul-buerkner (7)
- Kucharssim (7)
- elseml (6)
- arrjon (5)
- thegialeo (4)
- maltelueken (4)
- philippreiser (3)
- payelghosh537482 (2)
- sjedhoff (2)
- jerrymhuang (2)
Top Pull Request Authors
- vpratz (126)
- LarsKue (71)
- han-ol (26)
- arrjon (25)
- stefanradev93 (20)
- paul-buerkner (16)
- elseml (15)
- Kucharssim (14)
- eodole (13)
- daniel-habermann (10)
- jerrymhuang (8)
- marvinschmitt (3)
- thegialeo (3)
- enbrown (2)
- Chase-Grajeda (2)
Top Issue Labels
- feature (32)
- discussion (16)
- user interface (13)
- documentation (9)
- v2 (8)
- bug (7)
- refactoring (5)
- unit tests (5)
- question (3)
- sugar (3)
- efficiency (2)
- good first issue (2)
- serialization (2)
- cannot reproduce (1)
Top Pull Request Labels
- feature (35)
- fix (29)
- refactoring (14)
- user interface (11)
- draft (8)
- sugar (7)
- documentation (7)
- unit tests (6)
- v2 (4)
- good first issue (3)
- bug (3)
- dependencies (2)
- efficiency (2)
- duplicate (1)
Dependencies
- actions/checkout v3 composite
- actions/setup-python v4 composite
- actions/checkout v4 composite
- actions/setup-python v4 composite
- actions/checkout v4 composite
- actions/download-artifact v4 composite
- actions/setup-python v5 composite
- actions/upload-artifact v4 composite
- pypa/gh-action-pypi-publish release/v1 composite
- actions/checkout v4 composite
- actions/setup-python v5 composite
- actions/checkout v4 composite
- actions/setup-python v5 composite
- codecov/codecov-action v4 composite
- jupyter
- jupyterlab
- keras ~= 3.9.0
- matplotlib
- numpy ~= 1.26
- pandas
- pre-commit
- pytest
- pytest-cov
- pytest-rerunfailures
- pytest-xdist
- python >= 3.11, < 3.13
- ruff
- scikit-learn
- scipy
- seaborn
- tox
- tqdm
- keras >=3.12.0
- matplotlib >=3.10.8
- networkx >=3.4.2
- numpy >=2.2.6
- pandas >=2.3.3
- scipy >=1.15.3
- seaborn >=0.13.2
- tqdm >=4.67.1