Alternatives and similar repositories for ModelEvaluationUnderClassImbalance

Users that are interested in ModelEvaluationUnderClassImbalance are comparing it to the libraries listed below

• ys-zong / MEDFAIR
  [ICLR 2023 spotlight] MEDFAIR: Benchmarking Fairness for Medical Imaging
  ☆68Updated 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…
  ☆21Updated 2 years ago
• IML-DKFZ / fd-shifts
  A Benchmark for Failure Detection under Distribution Shifts in Image Classification
  ☆33Updated 9 months ago
• CherBass / ICAM
  ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping
  ☆54Updated 2 years ago
• MrGiovanni / LabelAssemble
  [ISBI 2023] Official Implementation for Label-Assemble
  ☆19Updated last year
• wyf0912 / LDDG
  [NIPS 2020] The code release of paper 'Domain Generalization for Medical Imaging Classification with Linear-Dependency Regularization'
  ☆66Updated 4 years ago
• neerakara / test-time-adaptable-neural-networks-for-domain-generalization
  Code for the paper "Test-time adaptable neural networks for robust medical image segmentation"
  ☆47Updated 5 years ago
• biomedia-mira / chexploration
  Official repository for 'Algorithmic encoding of protected characteristics in chest X-ray disease detection models'
  ☆24Updated 2 years ago
• alceubissoto / debiasing-skin
  ☆18Updated 5 years ago
• mobarakol / SVLS
  ☆15Updated 2 years ago
• biomedia-mira / stochastic_segmentation_networks
  Stochastic Segmentation Networks
  ☆66Updated 5 years ago
• YueYANG1996 / KnoBo
  NeurIPS 2024 (spotlight): A Textbook Remedy for Domain Shifts Knowledge Priors for Medical Image Analysis
  ☆26Updated 9 months ago
• hathawayxxh / CRCKD
  The source code of 'Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image Classification' (MICCAI 2021)
  ☆18Updated 3 years ago
• vios-s / vMFNet
  vMFNet: Compositionality Meets Domain-generalised Segmentation
  ☆16Updated 3 years ago
• mlaves / well-calibrated-regression-uncertainty
  Code for our MIDL2020 submission "Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning".
  ☆31Updated 4 years ago
• EliasKassapis / CARSSS
  Official re-implementation of the Calibrated Adversarial Refinement model described in the paper "Calibrated Adversarial Refinement for S…
  ☆34Updated 2 years ago
• heyufan1995 / self-domain-adapted-network
  MICCAI2020: self domain adapted network
  ☆17Updated 4 years ago
• xmengli / Rotation-oriented-self-supervised
  IEEE TMI 2021
  ☆17Updated 2 years ago
• MIC-DKFZ / mood
  Repository for the Medical Out-of-Distribution Analysis Challenge.
  ☆63Updated last year
• YyzHarry / shortcut-ood-fairness
  [Nature Medicine] The Limits of Fair Medical Imaging AI In Real-World Generalization
  ☆28Updated 7 months ago
• luoyan407 / Harvard-GF
  [TMI 2024] Harvard Glaucoma Fairness (Harvard-GF): A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization
  ☆10Updated last year
• yding5 / AdaptiveBinning
  Adaptive-binning for evaluation of confidence calibration
  ☆12Updated 6 years ago
• moucheng2017 / Med-Noisy-Labels
  [NeurIPS 2020] Disentangling Human Error from the Ground Truth in Segmentation of Medical Images
  ☆74Updated 2 years ago
• vios-s / disentanglement_tutorial
  This repository summarizes the material gathered for the tutorial on learning disentangled representations in the imaging domain, and ser…
  ☆62Updated 2 years ago
• fhaghighi / TransVW
  Official Keras & PyTorch Implementation and Pre-trained Models for TransVW
  ☆63Updated 3 years ago
• Jhhuangkay / DeepOpht-Medical-Report-Generation-for-Retinal-Images-via-Deep-Models-and-Visual-Explanation
  ☆39Updated 5 months ago
• ShikunLi / Estimating_T_For_Noisy_Mutli-Labels
  NeurIPS 2022: Estimating Noise Transition Matrix with Label Correlations for Noisy Multi-Label Learning
  ☆18Updated 2 years ago
• biomedia-mira / cxr-foundation-bias
  Official repository for 'Risk of Bias in Chest Radiography Deep Learning Foundation Models'
  ☆12Updated last year
• anirbansarkar-cs / Ante-hoc_Explainability_Concepts
  Implementation of the paper "A Framework for Learning Ante-hoc Explainable Models via Concepts" (CVPR 2022).
  ☆8Updated last year
• Pulkit-Khandelwal / medical-mldg-seg
  Code for the MICCAI DART 2020 paper
  ☆32Updated 4 years ago