Alternatives and similar repositories for U-CAM

Users that are interested in U-CAM are comparing it to the libraries listed below

• hula-ai / skin_lesion_uncertainty_estimation
  Code and models for our paper "Risk-Aware Machine Learning Classifier for Skin Lesion Diagnosis"
  ☆10Updated last year
• biomedia-mira / masf
  Domain Generalization via Model-Agnostic Learning of Semantic Features
  ☆148Updated 2 years ago
• QingyuZhao / BR-Net
  ☆46Updated 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
• ninatu / mood_challenge
  Medical Out-of-Distribution Analysis Challenge MICCAI 2020 Solution
  ☆16Updated 2 years ago
• belaalb / G2DM
  Generalizing to unseen domains via distribution matching
  ☆72Updated 5 years ago
• vuptran / sesemi
  supervised and semi-supervised image classification with self-supervision (Keras)
  ☆45Updated 4 years ago
• jizongFox / deep-clustering-toolbox
  PyTorch Vision Toolbox not only for deep-clustering
  ☆30Updated 2 years ago
• suinleelab / cxr_covid
  Code for paper "AI for radiographic COVID-19 detection selects shortcuts over signal"
  ☆28Updated 4 years ago
• sungyubkim / MCDO
  A pytorch implementation of MCDO(Monte-Carlo Dropout methods)
  ☆57Updated 6 years ago
• alceubissoto / debiasing-skin
  ☆18Updated 5 years ago
• atilberk / evidential-deep-learning-to-quantify-classification-uncertainty
  Work on Evidential Deep Learning to Quantify Classification Uncertainty
  ☆60Updated 6 years ago
• ricvolpi / domain-shift-robustness
  Code for the paper "Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets", ICCV 2019
  ☆27Updated 5 years ago
• wyf0912 / LDDG
  [NIPS 2020] The code release of paper 'Domain Generalization for Medical Imaging Classification with Linear-Dependency Regularization'
  ☆66Updated 4 years ago
• mdiephuis / SimCLR
  Pytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"
  ☆82Updated last year
• zhyhan / RDA
  Robust Domain Adaptation under Noisy Environments
  ☆18Updated 3 years ago
• JuliaWolleb / DeScarGAN
  Official Pytorch implementation of the paper DeScarGAN
  ☆30Updated 5 years ago
• AltschulerWu-Lab / MuLANN
  Code and data of the "Multi-domain adversarial learning" paper, Schoenauer-Sebag et al., accepted at ICLR 2019
  ☆38Updated 4 years ago
• siit-vtt / semi-supervised-learning-pytorch
  Several SSL methods (Pi model, Mean Teacher) are implemented in pytorch
  ☆82Updated 6 years ago
• ameliajimenez / curriculum-learning-prior-uncertainty
  Curriculum learning for improved femur fracture classification: scheduling data with prior knowledge and uncertainty. Medical Image Analy…
  ☆19Updated 3 years ago
• philiptheother / FeatureDecoupling
  Self-Supervised Representation Learning by Rotation Feature Decoupling
  ☆95Updated 6 years ago
• EvZissel / Residual-Flow
  An implementation of the Residual Flow algorithm for out-of-distribution detection.
  ☆31Updated 3 years ago
• zhang64-llnl / Mix-n-Match-Calibration
  ☆38Updated 4 years ago
• ykwon0407 / UQ_BNN
  Uncertainty quantification using Bayesian neural networks in classification (MIDL 2018, CSDA)
  ☆137Updated 6 years ago
• kamenbliznashki / chexpert
  CheXpert competition models -- attention augmented convolutions on DenseNet, ResNet; EfficientNet
  ☆56Updated 5 years ago
• CherBass / ICAM
  ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping
  ☆54Updated 2 years ago
• utkuozbulak / adaptive-segmentation-mask-attack
  Pre-trained model, code, and materials from the paper "Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmen…
  ☆60Updated 5 years ago
• sbelharbi / deep-active-learning-for-joint-classification-and-segmentation-with-weak-annotator
  Pytorch code for the paper "Deep Active Learning for Joint Classification and Segmentation with Weak Annotator"
  ☆29Updated 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
• jayheo / UA
  ☆24Updated 6 years ago