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JOSS: https://github.com/jrzaurin/pytorch-widedeep

deep-learning images model-hub multimodal-deep-learning python pytorch pytorch-cv pytorch-nlp pytorch-tabular-data pytorch-transformers tabular-data text

Score: 17.445309846974258

Last synced: about 22 hours ago
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Repository metadata:

A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch


Owner metadata:


GitHub Events

Total
Last Year

Committers metadata

Last synced: 4 days ago

Total Commits: 895
Total Committers: 12
Avg Commits per committer: 74.583
Development Distribution Score (DDS): 0.197

Commits in past year: 20
Committers in past year: 2
Avg Commits per committer in past year: 10.0
Development Distribution Score (DDS) in past year: 0.15

Name Email Commits
jrzaurin j****n@g****m 719
Pavol Mulinka m****l@g****m 101
Javier Rodriguez Zaurin j****n@J****l 48
Krish k****2@g****m 11
Hyo-kyun Park g****8@n****m 4
Javier Rodriguez Zaurin j****r@b****m 3
SuperThickHearter 5****r 2
LuoXueling s****n@s****n 2
Pavol Mulinka p****o@a****m 2
Minjin Choi z****d@g****m 1
Bruno b****a@d****u 1
Alexander Shirkov a****u@a****m 1

Issue and Pull Request metadata

Last synced: about 2 months ago

Total issues: 123
Total pull requests: 70
Average time to close issues: about 2 months
Average time to close pull requests: 18 days
Total issue authors: 66
Total pull request authors: 9
Average comments per issue: 2.95
Average comments per pull request: 0.96
Merged pull request: 50
Bot issues: 0
Bot pull requests: 0

Past year issues: 1
Past year pull requests: 13
Past year average time to close issues: about 1 month
Past year average time to close pull requests: 3 days
Past year issue authors: 1
Past year pull request authors: 2
Past year average comments per issue: 2.0
Past year average comments per pull request: 1.23
Past year merged pull request: 8
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/jrzaurin/pytorch-widedeep

Top Issue Authors

  • osorensen (25)
  • xylovezxy (11)
  • jrzaurin (4)
  • davidfstein (4)
  • LinXin04 (4)
  • 5uperpalo (3)
  • Yiming-Deng (3)
  • Lapis-Hong (2)
  • mireklzicar (2)
  • altar31 (2)
  • makoeppel (2)
  • thatalfredh (2)
  • TheLegendAli (2)
  • zhang-HZAU (2)
  • rv-iiita (2)

Top Pull Request Authors

  • jrzaurin (41)
  • 5uperpalo (19)
  • kd1510 (3)
  • weishi-deng (2)
  • gradientsky (1)
  • thatalfredh (1)
  • BrunoBelucci (1)
  • changbiHub (1)
  • LuoXueling (1)

Top Issue Labels

  • bug (6)
  • feature (3)
  • enhancement (2)
  • question (1)

Top Pull Request Labels

  • feature (1)
  • enhancement (1)
  • bug (1)

Package metadata

pypi.org: pytorch-widedeep

Combine tabular data with text and images using Wide and Deep models in Pytorch

  • Homepage: https://github.com/jrzaurin/pytorch-widedeep
  • Documentation: https://pytorch-widedeep.readthedocs.io/
  • Licenses: MIT
  • Latest release: 1.7.0 (published 9 months ago)
  • Last Synced: 2026-06-18T20:00:58.263Z (4 days ago)
  • Versions: 28
  • Dependent Packages: 3
  • Dependent Repositories: 4
  • Downloads: 2,211 Last month
  • Rankings:
    • Stargazers count: 1.924%
    • Dependent packages count: 2.367%
    • Forks count: 3.759%
    • Average: 4.22%
    • Downloads: 5.557%
    • Dependent repos count: 7.495%
  • Maintainers (1)

Dependencies

.github/workflows/build.yml actions
  • actions/checkout v2 composite
  • actions/download-artifact v2 composite
  • actions/setup-python v2 composite
  • actions/upload-artifact v2 composite
  • codecov/codecov-action v1 composite
docs/requirements.txt pypi
  • einops *
  • gensim *
  • imutils *
  • numpy *
  • opencv-contrib-python *
  • pandas *
  • recommonmark *
  • scikit-learn *
  • scipy *
  • spacy *
  • sphinx *
  • sphinx-autodoc-typehints *
  • sphinx-copybutton *
  • sphinx-markdown-tables *
  • sphinx_rtd_theme *
  • torch *
  • torchmetrics *
  • torchvision *
  • tqdm *
  • wrapt *
mkdocs/requirements.txt pypi
  • mkdocs *
  • mkdocs-autolinks-plugin *
  • mkdocs-git-authors-plugin *
  • mkdocs-jupyter *
  • mkdocs-material *
  • mkdocstrings *
  • mkdocstrings-python *
requirements.txt pypi
  • einops *
  • fastparquet >=0.8.1
  • gensim *
  • imutils *
  • numpy >=1.21.6
  • opencv-contrib-python *
  • pandas >=1.3.5
  • pyarrow *
  • scikit-learn >=1.0.2
  • scipy >=1.7.3
  • spacy *
  • torch *
  • torchmetrics *
  • torchvision *
  • tqdm *
  • wrapt *
setup.py pypi