DIAGNijmegen / rse-grand-challenge
A platform for end-to-end development of machine learning solutions in biomedical imaging
Why this job: matched by what the repo talks about: learn, platform, end, machine
What it does
In the era of Deep Learning, developing robust machine learning solutions to problems in biomedical imaging requires access to large amounts of annotated training data, fair comparisons of state of the art machine learning solutions, and clinical validation using real world data. Grand Challenge can assist Researchers, Data Scientists, and Clinicians in collaborating to develop these solutions by providing:
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit today
- Stars
- 195
- On GitHub
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v2026.11
- Released 2 days ago
- Built with
- Python
- 86% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 98% closed
- 28 still open
- Pull requests
- 3,451 merged
- 2 waiting
- Releases
- 32
- 5 in the last year
- No contributing guide
- No security policy
- Code of conduct (opens in new tab)
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More: languages, topics and project record
Languages
- Python 86%
- HTML 10%
- JavaScript 2%
- Shell <1%
Topics
- python
- django
- django-rest-framework
- docker
- machine-learning
- medical-imaging
- reproducible-research
- computer-vision
- ai
- challenges
Project record
- JobEvals and observability
- StatusListed
- Commits8,044
- Forks58
- Watching16
- Stars in 28 days+2
- CreatedJun 5, 2012
- First seen by usNov 7, 2026
- CheckedNov 12, 2026