BiaPyX / BiaPy
Open source Python library for building bioimage analysis pipelines
Why this job: topics: computer-vision, object-detection, image-segmentation, semantic-segmentation, instance-segmentation, deep-learning, machine-learning, pytorch
What it does
BiaPy is an open source library and application that streamlines the use of common deep-learning workflows for a large variety of bioimage analysis tasks, including 2D and 3D semantic segmentation, instance segmentation, object detection, image denoising, single image super-resolution, self-supervised learning, image classification and image to image translation.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 3 days ago
- Stars
- 219
- +3 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v3.7.3
- Released 8 days ago
- Built with
- Jupyter Notebook
- 88% of the code
Is it looked after?
- Contributors
- 4
- Last 90 days
- Issues
- 98% closed
- 2 still open
- Pull requests
- 66 merged
- 0 waiting
- Releases
- 55
- 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
- Jupyter Notebook 88%
- Python 12%
Topics
- computer-vision
- deep-learning
- biomedical-image-processing
- segmentation
- convolutional-neural-networks
- image-segmentation
- medical-imaging
- semantic-segmentation
- classification
- instance-segmentation
- object-detection
- image-processing
Project record
- JobAI libraries and models
- StatusListed
- Commits3,375
- Forks45
- Watching7
- Stars in 28 days+4
- CreatedFeb 28, 2019
- First seen by usNov 7, 2026
- CheckedNov 10, 2026