Alternatives and similar repositories for fd-shifts:

Users that are interested in fd-shifts are comparing it to the libraries listed below

• vios-s / disentanglement_tutorial
  This repository summarizes the material gathered for the tutorial on learning disentangled representations in the imaging domain, and ser…
  ☆60Updated 2 years ago
• melanibe / failure_detection_benchmark
  Code for the paper "Failure Detection in Medical Image Classification: A Reality Check and Benchmarking Testbed", TMLR 2022, Bernhardt et…
  ☆20Updated 2 years ago
• ys-zong / MEDFAIR
  [ICLR 2023 spotlight] MEDFAIR: Benchmarking Fairness for Medical Imaging
  ☆60Updated last year
• MIC-DKFZ / mood
  Repository for the Medical Out-of-Distribution Analysis Challenge.
  ☆61Updated 6 months ago
• wildphoton / RandConv
  Code for ICLR2021 paper "Robust and Generalizable Visual Representation Learning via Random Convolutions"
  ☆63Updated 3 years ago
• moucheng2017 / Med-Noisy-Labels
  [NeurIPS 2020] Disentangling Human Error from the Ground Truth in Segmentation of Medical Images
  ☆71Updated last year
• snavalm / lsr_mood_challenge_2020
  Code for the Medical Out of Distribution challenge 2020
  ☆25Updated 4 years ago
• MECLabTUDA / ACS
  Adversarial Continual Learning for Multi-Domain Hippocampal Segmentation
  ☆13Updated 3 years ago
• vios-s / vMFNet
  vMFNet: Compositionality Meets Domain-generalised Segmentation
  ☆15Updated 2 years ago
• gaozhitong / MoSE-AUSeg
  The official code repo for the paper "Mixture of Stochastic Experts for Modeling Aleatoric Uncertainty in Segmentation". (ICLR 2023)
  ☆26Updated last year
• wyf0912 / LDDG
  [NIPS 2020] The code release of paper 'Domain Generalization for Medical Imaging Classification with Linear-Dependency Regularization'
  ☆65Updated 4 years ago
• YyzHarry / SubpopBench
  [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift
  ☆105Updated last year
• neerakara / test-time-adaptable-neural-networks-for-domain-generalization
  Code for the paper "Test-time adaptable neural networks for robust medical image segmentation"
  ☆46Updated 4 years ago
• biomedia-mira / chexploration
  Official repository for 'Algorithmic encoding of protected characteristics in chest X-ray disease detection models'
  ☆24Updated 2 years ago
• HarryAnthony / Mahalanobis-OOD-detection
  A framework for studying the best practises for Mahalanobis distance for OOD detection
  ☆13Updated 2 months ago
• biomedia-mira / stochastic_segmentation_networks
  Stochastic Segmentation Networks
  ☆66Updated 4 years ago
• mlaves / well-calibrated-regression-uncertainty
  Code for our MIDL2020 submission "Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning".
  ☆31Updated 3 years ago
• funnyzhou / A4SM
  Archive for Self-supervised learning in Medical images (A4SM).
  ☆56Updated 2 years ago
• gigantenbein / UNet-Zoo
  Different U-Net implementations featuring a vanilla U-Net, probabilistic U-Net and PHiSeg. Each with a reversible variant aswell.
  ☆23Updated 2 years ago
• Stomper10 / CheXpert
  Reproducing CheXpert paper using the PyTorch library.
  ☆38Updated last year
• jeya-maria-jose / On-The-Fly-Adaptation
  Code base for "On-the-Fly Test-time Adaptation for Medical Image Segmentation"
  ☆28Updated 2 years ago
• heyufan1995 / self-domain-adapted-network
  MICCAI2020: self domain adapted network
  ☆17Updated 3 years ago
• dccastro / Morpho-MNIST
  Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning (http://jmlr.org/papers/v20/19-033.html)
  ☆85Updated 3 weeks ago
• mobarakol / SVLS
  ☆16Updated last year
• FBLADL / NVUM
  Code for "NVUM: Non-volatile Unbiased Memory for Robust Medical Classification" [MICCAI 2022 Early Accept]
  ☆12Updated 2 years ago
• Bala93 / MarginLoss
  ☆9Updated last week
• CAMP-eXplain-AI / InputIBA
  NeurIPS 2021 | Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information
  ☆32Updated 3 years ago
• idiap / model-uncertainty-for-adaptation
  Code paper Uncertainty Reduction for Uncertainty Reduction for Model Adaptation in Semantic Segmentation at CVPR 2021
  ☆49Updated 2 years ago
• ishaanb92 / GeneralizedProbabilisticUNet
  PyTorch model for the Generalized Probabilistic U-Net. For more details see: https://www.melba-journal.org/papers/2023:005.html
  ☆13Updated 11 months ago
• StefanoWoerner / medimeta-pytorch
  The medical imaging meta-learning toolbox allows to build models that learn to learn in a setting with diverse tasks. It also provides co…
  ☆39Updated 9 months ago