FTorch

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

Score: 8.603921194926063

Last synced: about 15 hours ago
JSON representation

Repository metadata:

A library for directly calling PyTorch ML models from Fortran.

Host: GitHub
URL: https://github.com/Cambridge-ICCS/FTorch
Owner: Cambridge-ICCS
License: mit
Created: 2022-10-14T15:56:34.000Z (over 3 years ago)
Default Branch: main
Last Pushed: 2026-06-16T16:30:31.000Z (4 days ago)
Last Synced: 2026-06-16T19:03:33.550Z (4 days ago)
Topics: deep-learning, fortran, hacktoberfest, interoperability, libtorch, machine-learning, python, pytorch, torch
Language: Fortran
Homepage: https://cambridge-iccs.github.io/FTorch/
Size: 14.4 MB
Stars: 197
Watchers: 4
Forks: 39
Open Issues: 90
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- License: LICENSE
- Citation: CITATION.cff
- Codeowners: .github/CODEOWNERS

Owner metadata:

Name: Institute of Computing for Climate Science
Login: Cambridge-ICCS
Email:
Kind: organization
Description: Institute of Computing for Climate Science at the University of Cambridge
Website: https://cambridge-iccs.github.io/
Location:
Twitter: Cambridge_ICCS
Company:
Icon url: https://avatars.githubusercontent.com/u/97293575?v=4
Repositories: 8
Last Synced at: 2023-03-05T02:54:20.742Z
Profile URL: https://github.com/Cambridge-ICCS

GitHub Events

Total

Commit comment event: 1
Create event: 160
Delete event: 162
Discussion event: 1
Fork event: 17
Issue comment event: 447
Issues event: 173
Member event: 2
Pull request event: 307
Pull request review comment event: 549
Pull request review event: 642
Push event: 1114
Release event: 1
Watch event: 69
Total: 3645

Last Year

Create event: 47
Delete event: 61
Discussion event: 1
Fork event: 8
Issue comment event: 117
Issues event: 42
Pull request event: 94
Pull request review comment event: 125
Pull request review event: 126
Push event: 333
Watch event: 25
Total: 979

Committers metadata

Last synced: 4 days ago

Total Commits: 496
Total Committers: 19
Avg Commits per committer: 26.105
Development Distribution Score (DDS): 0.585

Commits in past year: 120
Committers in past year: 10
Avg Commits per committer in past year: 12.0
Development Distribution Score (DDS) in past year: 0.525

Name	Email	Commits
Jack Atkinson	j**4@c**k	206
Joe Wallwork	2****3	109
tommelt	t**1@g**m	38
ElliottKasoar	E****r	37
Joe Wallwork	2****k	30
Dominic Orchard	d**d@g**m	21
Athena Elafrou	a**8@c**k	15
Jared Frazier	7****1	11
Niccolò Zanotti	7****i	10
Simon Clifford	s**6@c**k	5
Mikolaj-A-Kowalski	3****i	3
zkatona	9****6	3
Zhenkun Li	l**k@y**t	2
Daniel S. Katz	d**z@i**g	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

Issue and Pull Request metadata

Last synced: 4 days ago

Total issues: 187
Total pull requests: 338
Average time to close issues: 2 months
Average time to close pull requests: 22 days
Total issue authors: 28
Total pull request authors: 21
Average comments per issue: 1.53
Average comments per pull request: 1.59
Merged pull request: 233
Bot issues: 0
Bot pull requests: 0

Past year issues: 35
Past year pull requests: 80
Past year average time to close issues: about 1 month
Past year average time to close pull requests: 13 days
Past year issue authors: 10
Past year pull request authors: 10
Past year average comments per issue: 1.74
Past year average comments per pull request: 1.6
Past year merged pull request: 46
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 (62)
jwallwork23 (52)
joewallwork (16)
ElliottKasoar (11)
TomMelt (7)
jfdev001 (5)
ma595 (4)
mondus (4)
dorchard (3)
IsidreMas (2)
niccolozanotti (2)
timothyas (2)
SimonClifford (2)
Fengyixin-research (1)
vopikamm (1)

Top Pull Request Authors

jwallwork23 (126)
jatkinson1000 (110)
joewallwork (19)
niccolozanotti (16)
TomMelt (16)
dorchard (10)
jfdev001 (9)
Mikolaj-A-Kowalski (8)
ElliottKasoar (8)
aysha2016 (3)
zhenkunl (2)
ma595 (2)
danielskatz (1)
mondus (1)
helgehr (1)

Top Issue Labels

enhancement (44)
documentation (44)
bug (36)
autograd (29)
testing (20)
hackathon (16)
good first issue (12)
gpu (9)
question (8)
build (5)
hacktoberfest (4)
online-training (3)
Hacktoberfest (1)
potential placement (1)
help wanted (1)

Top Pull Request Labels

documentation (67)
enhancement (61)
testing (46)
bug (46)
autograd (43)
gpu (10)
hackathon (9)
good first issue (4)
RAB (3)
build (3)
Hacktoberfest (1)

Dependencies

pyproject.toml pypi

numpy *
torch *

examples/09_Autograd/requirements.txt pypi

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