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JOSS: https://github.com/BiomedSciAI/fuse-med-ml

ai cmmd collaboration ct deep-learning fuse fuse-med-ml fusemedml hacktoberfest healthcare isic knight-challenge machine-learning medical medical-imaging multimodality python pytorch stoic vision

Score: 16.87893437664724

Last synced: about 10 hours ago
JSON representation

Repository metadata:

A python framework accelerating ML based discovery in the medical field by encouraging code reuse. Batteries included :)


Owner metadata:


GitHub Events

Total
Last Year

Committers metadata

Last synced: 8 days ago

Total Commits: 487
Total Committers: 39
Avg Commits per committer: 12.487
Development Distribution Score (DDS): 0.745

Commits in past year: 18
Committers in past year: 10
Avg Commits per committer in past year: 1.8
Development Distribution Score (DDS) in past year: 0.722

Name Email Commits
Moshiko Raboh 8****h 124
Alex Golts a****s@i****m 85
moshiko m****h@i****m 46
Sagi Polaczek 5****k 40
itaijj i****2@g****m 24
YoelShoshan y****n@g****m 23
Liam Hazan l****n@i****m 18
Michal Ozery-Flato 1****o 13
itaiguez i****z@i****m 12
sagi s****k@i****m 11
#Sagi Polaczek#Sagi.Polaczek@ibm.com s****p@l****m 11
Daniel Shats d****1@g****m 11
Avihu Dekel a****2@g****m 8
Ben Shapira 6****7 6
Sivan Ravid 1****s 5
ttlusty t****y@i****m 4
Ella Barkan e****a@i****m 4
IdoAmosIBM 1****M 4
Antonio Foncubierta Rodríguez a****a 3
Vadim Ratner 9****c 3
shakedpe 4****e 3
simona s****a@i****m 3
vadimra v****a@i****m 2
xinwxin w****n@g****m 2
simona-rc 8****c 2
mayhamri 9****i 2
imgbot[bot] 3****] 2
agiova 3****a 2
Yishai Levine l****0@g****m 2
Panos Vagenas 3****s 2
and 9 more...

Issue and Pull Request metadata

Last synced: about 2 months ago

Total issues: 32
Total pull requests: 224
Average time to close issues: 3 months
Average time to close pull requests: 13 days
Total issue authors: 12
Total pull request authors: 26
Average comments per issue: 1.28
Average comments per pull request: 0.45
Merged pull request: 193
Bot issues: 0
Bot pull requests: 0

Past year issues: 0
Past year pull requests: 21
Past year average time to close issues: N/A
Past year average time to close pull requests: 9 days
Past year issue authors: 0
Past year pull request authors: 8
Past year average comments per issue: 0
Past year average comments per pull request: 0.19
Past year merged pull request: 18
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/BiomedSciAI/fuse-med-ml

Top Issue Authors

  • SagiPolaczek (11)
  • mosheraboh (6)
  • anupamajha1 (3)
  • avihu111 (2)
  • egozi (2)
  • alex-golts (2)
  • simona-rc (1)
  • ellabarkan (1)
  • sivanravidos (1)
  • itaijj (1)
  • Betty-J (1)
  • smartdanny (1)

Top Pull Request Authors

  • mosheraboh (50)
  • SagiPolaczek (40)
  • YoelShoshan (23)
  • alex-golts (16)
  • michalozeryflato (13)
  • bensha6757 (10)
  • smartdanny (9)
  • sivanravidos (9)
  • liamhazan (7)
  • IdoAmosIBM (6)
  • ellabarkan (6)
  • itaijj (6)
  • floccinauc (5)
  • mayhamri (4)
  • avihu111 (3)

Top Issue Labels

  • bug (13)
  • enhancement (11)
  • good first issue (6)
  • question (2)
  • wontfix (1)
  • DEV (1)
  • up-for-grabs (1)
  • help wanted (1)
  • documentation (1)

Top Pull Request Labels

  • enhancement (3)
  • example (1)
  • dependencies (1)

Package metadata

pypi.org: fuse-med-ml

A python framework accelerating ML based discovery in the medical field by encouraging code reuse. Batteries included :)

  • Homepage:
  • Documentation: https://fuse-med-ml.readthedocs.io/
  • Licenses: Apache License 2.0
  • Latest release: 0.4.1 (published 4 months ago)
  • Last Synced: 2026-06-09T18:02:39.506Z (13 days ago)
  • Versions: 24
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 2,856 Last month
  • Rankings:
    • Stargazers count: 6.599%
    • Forks count: 6.769%
    • Dependent packages count: 10.069%
    • Average: 11.687%
    • Downloads: 13.368%
    • Dependent repos count: 21.628%
  • Maintainers (1)

Dependencies

fuse/requirements.txt pypi
  • deepdiff *
  • h5py *
  • hdf5plugin *
  • hydra-core *
  • ipykernel *
  • ipython *
  • matplotlib >=3.3.3
  • nibabel *
  • numpy >=1.18.5
  • omegaconf *
  • pandas >=1.2
  • paramiko *
  • psutil *
  • pycocotools >=2.0.1
  • pytorch_lightning *
  • scikit-learn >=0.23.2
  • scipy >=1.5.4
  • statsmodels *
  • tables *
  • tensorboard *
  • termcolor >=1.1.0
  • torch >=1.5.0
  • torchvision >=0.8.1
  • tqdm >=4.52.0
  • wget *
  • xmlrunner *
fuse/requirements_dev.txt pypi
  • black ==22.3.0
  • flake8 *
  • mypy ==0.950
  • testbook *
fuseimg/requirements.txt pypi
  • SimpleITK >=1.2.0
  • medpy *
  • opencv-python <=4.3.0.36
  • pydicom *
  • scikit-image >=0.17.2
  • torchvision >=0.8.1
.github/workflows/lint.yaml actions
  • actions/checkout v2 composite
  • actions/setup-python v2 composite
  • psf/black stable composite
  • py-actions/flake8 v2 composite
.github/workflows/python-publish.yml actions
  • actions/checkout v2 composite
  • actions/setup-python v2 composite
  • pypa/gh-action-pypi-publish 27b31702a0e7fc50959f5ad993c78deac1bdfc29 composite
fuse_examples/requirements.txt pypi
  • medpy *
  • monai *
  • pydicom *
  • scikit-image *
  • transformers *
setup.py pypi