ProjectNeura / MIPCandy
Build a complete experiment pipeline for your PyTorch MIP model in 10 seconds.
Why this job: works in the areas we cover, but does not say which job it does

What it does
MIP Candy is Project Neura's next-generation infrastructure framework for medical image processing. It defines a handful of common network architectures with their corresponding training, inference, and evaluation pipelines that are out-of-the-box ready to use. Additionally, it also provides integrations with popular frontend dashboards such as Notion, WandB, and TensorBoard.
Get started
pip install "mipcandy[standard]"- Maintenance
- Active
- Last commit 4 months ago
- Stars
- 294
- On GitHub
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- 1.1.3
- Released 4 months ago
- Built with
- Python
- 84% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 99% closed
- 1 still open
- Pull requests
- 109 merged
- 1 waiting
- Releases
- 29
- 20 in the last year
- No contributing guide
- No security policy
- No code of conduct
Similar repos
| Repo | Stars | Last commit | Licence | Downloads for |
|---|---|---|---|---|
| apple-aiml-research / ml-cvnets | 1,995 | 2 months ago | Custom | No downloads |
| TorchIO-project / torchio | 2,454 | 27 days ago | Apache-2.0 | No downloads |
| nipreps / mriqc | 383 | yesterday | Apache-2.0 | No downloads |
More: languages, topics and project record
Languages
- Python 84%
- HTML 16%
Topics
- computer-vision
- deep-learning
- machine-intelligence
- machine-learning
- medical-image-processing
- pytorch
- classification
- ct
- detection
- medical-ai
- mri
- segmentation
Project record
- JobOther AI tools
- StatusListed
- Commits182
- Forks44
- Watching32
- Stars in 28 days0
- CreatedAug 16, 2025
- First seen by usNov 7, 2026
- CheckedNov 8, 2026
