FTorch: a library for coupling PyTorch models to Fortran

FTorch: a library for coupling PyTorch models to Fortran - Published in JOSS (2025)
https://github.com/cambridge-iccs/ftorch

Keywords

deep-learning fortran hacktoberfest interoperability libtorch machine-learning python pytorch torch

Keywords from Contributors

keras

Last synced: 2 months ago
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Repository metadata

A library for directly calling PyTorch ML models from Fortran.


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Committers metadata

Last synced: 2 months ago

Total Commits: 408
Total Committers: 17
Avg Commits per committer: 24.0
Development Distribution Score (DDS): 0.605

Commits in past year: 184
Committers in past year: 10
Avg Commits per committer in past year: 18.4
Development Distribution Score (DDS) in past year: 0.614

Name Email Commits
Jack Atkinson j****4@c****k 161
Joe Wallwork 2****3 108
tommelt t****1@g****m 38
ElliottKasoar E****r 37
Dominic Orchard d****d@g****m 20
Athena Elafrou a****8@c****k 15
Niccolò Zanotti 7****i 10
Simon Clifford s****6@c****k 5
Jared Frazier 7****1 4
Mikolaj-A-Kowalski 3****i 3
Daniel S. Katz d****z@i****g 1
Zhenkun Li l****k@y****t 1
helgehr 3****r 1
mondus p****d@s****k 1
Simon Clifford s****d@i****k 1
Jared Frazier f****r@i****e 1
vopikamm 3****m 1

Committer domains:


Issue and Pull Request metadata

Last synced: 2 months ago

Total issues: 166
Total pull requests: 303
Average time to close issues: 2 months
Average time to close pull requests: 15 days
Total issue authors: 25
Total pull request authors: 18
Average comments per issue: 1.42
Average comments per pull request: 1.51
Merged pull request: 210
Bot issues: 0
Bot pull requests: 0

Past year issues: 91
Past year pull requests: 223
Past year average time to close issues: 15 days
Past year average time to close pull requests: 6 days
Past year issue authors: 13
Past year pull request authors: 10
Past year average comments per issue: 0.96
Past year average comments per pull request: 1.33
Past year merged pull request: 157
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/cambridge-iccs/ftorch

Top Issue Authors

  • jatkinson1000 (58)
  • jwallwork23 (53)
  • ElliottKasoar (11)
  • TomMelt (7)
  • jfdev001 (5)
  • ma595 (4)
  • mondus (4)
  • dorchard (3)
  • IsidreMas (2)
  • niccolozanotti (2)
  • timothyas (2)
  • SimonClifford (2)
  • nckxneoro52449 (1)
  • anand-me (1)
  • christopheredsall (1)

Top Pull Request Authors

  • jwallwork23 (126)
  • jatkinson1000 (101)
  • niccolozanotti (16)
  • TomMelt (16)
  • dorchard (9)
  • ElliottKasoar (8)
  • Mikolaj-A-Kowalski (7)
  • jfdev001 (6)
  • aysha2016 (3)
  • zhenkunl (2)
  • ma595 (2)
  • danielskatz (1)
  • mondus (1)
  • helgehr (1)
  • vopikamm (1)

Top Issue Labels

  • enhancement (37)
  • documentation (37)
  • bug (31)
  • autograd (21)
  • testing (15)
  • good first issue (10)
  • hackathon (10)
  • gpu (9)
  • question (5)
  • build (4)
  • online-training (4)
  • potential placement (1)
  • Hacktoberfest (1)
  • help wanted (1)

Top Pull Request Labels

  • documentation (65)
  • enhancement (52)
  • bug (40)
  • autograd (38)
  • testing (37)
  • hackathon (9)
  • gpu (9)
  • good first issue (4)
  • build (1)
  • Hacktoberfest (1)

Dependencies

examples/n_c_and_cpp/requirements.txt pypi
  • torch *
  • torchvision *
examples/1_SimpleNet/requirements.txt pypi
  • torch *
examples/2_ResNet18/requirements.txt pypi
  • torch *
  • torchvision *
.github/workflows/python_qc.yaml actions
  • actions/checkout v3 composite
  • actions/setup-python v4 composite
  • psf/black stable composite

Score: 8.231376045573969