<ul data-eligibleForWebStory="false"><li>UNet Zoo is a PyTorch library designed to standardize and simplify the usage of various UNet variants in medical image segmentation tasks.</li><li>The library provides a unified model API, extensive collection of over 20 UNet variants, config-driven training, and modular design.</li><li>UNet Zoo aims to address the challenges of fragmented implementations and APIs of different UNet architectures, ensuring consistency without compromising model-specific features.</li><li>The library facilitates production-ready training pipelines, research-friendly experimentation, and aims to accelerate advancements in medical AI tools for applications like tumor detection and surgical planning.</li></ul>

UNet Zoo: A PyTorch Library for UNet Variants

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