jakeret/tf_unet
Generic U-Net Tensorflow implementation for image segmentation
Implements the full U-Net architecture with skip connections for pixel-wise dense prediction across arbitrary imaging domains. Built on TensorFlow 1.x with demonstrated applications in radio astronomy (RFI mitigation), medical imaging, and synthetic pattern detection. Provides modular, domain-agnostic design allowing direct application to custom datasets without architecture modifications.
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Language
Python
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GPL-3.0
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Last pushed
May 05, 2020
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