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VIBESegmentator: Full Torso Segmentation for the NAKO and UK Biobank in Volumetric Interpolated Breath-hold Examination Body Images
[MIDL 2025] Efficient Automated Interpretation of Medical Images with Large-Scale Generalizable Autoencoders
A curated list of resources for using LLMs to develop more competitive grant applications.
A PyTorch native platform for training generative AI models
Unified Controllable Visual Generation Model
A PyTorch Library for Multi-Task Learning
A PyTorch framework for medical image segmentation
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Official Pytorch Implementation of: "ImageNet-21K Pretraining for the Masses"(NeurIPS, 2021) paper
StyleGAN2-ADA - Official PyTorch implementation
SOTA medical image segmentation methods based on various challenges
Style transfer, deep learning, feature transform
kNN acceleration for solving linear assignmeng problems
A web-based tool for analyzing out-of-distribution samples.
List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.