ShawnBIT/UNet-family
A curated collection of UNet-family neural network architectures implemented in PyTorch for semantic image segmentation.
Not currently ranked — collecting fresh signals.
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This repository compiles semantic segmentation models based on the UNet architecture, primarily implemented in PyTorch. It includes various UNet variants such as U-Net, V-Net, 3D U-Net, and H-DenseUNet spanning from 2015 onward, with links to original papers and alternative framework implementations. The focus is on medical image segmentation applications, and the project serves as a reference library for deep learning practitioners working on biomedical imaging tasks.
Frequently asked
- What is ShawnBIT/UNet-family?
- A curated collection of UNet-family neural network architectures implemented in PyTorch for semantic image segmentation.
- Is UNet-family open source?
- Yes — ShawnBIT/UNet-family is an open-source project tracked on heatdrop.
- What language is UNet-family written in?
- ShawnBIT/UNet-family is primarily written in Python.
- How popular is UNet-family?
- ShawnBIT/UNet-family has 2.6k stars on GitHub.
- Where can I find UNet-family?
- ShawnBIT/UNet-family is on GitHub at https://github.com/ShawnBIT/UNet-family.