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PyTorch code and models for the DINOv2 self-supervised learning method.

The runner for cutandrun

A Flywheel gear to import MEG metadata from files

AI segmentation for axial T2W MR Autosomal Dominant Polycystic Kidney Disease (https://github.com/aksg87/adpkd-segmentation-pytorch)

Three variants of regression models based on deep neural networks, random forest, and gradient boosting to predict chromatin interaction strength.