irfanfadhullah/unet_zoo
UNet Zoo: A PyTorch library for diverse UNet architectures, inspired by timm. Provides a unified API for easy model creation, training, and experimentation in image segmentation.
This is a specialized library for machine learning engineers and researchers working on image segmentation. It helps you quickly set up and compare different UNet-based models, which are popular for tasks like medical image analysis. You provide image data, and it outputs segmented images, highlighting specific regions of interest.
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Use this if you need to experiment with or apply various UNet architectures for image segmentation without writing all the model code from scratch.
Not ideal if you are not familiar with PyTorch or deep learning concepts, as this is a developer tool requiring coding knowledge.
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Python
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Last pushed
Jul 09, 2025
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