Alternatives and similar repositories for counterfactualms:

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

• mlmed / gifsplanation
  Gifsplanation - Explaining neural networks with gifs!
  ☆24Updated last year
• QingyuZhao / BR-Net
  ☆46Updated 4 years ago
• CAMP-eXplain-AI / Style-CheXplain
  GAN-based method to create counterfactual explanations for chest X-rays
  ☆23Updated 2 years ago
• MIC-DKFZ / image-time-series
  Code for deep learning-based glioma/tumor growth models
  ☆24Updated 3 years ago
• CherBass / ICAM
  ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping
  ☆53Updated 2 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
• MLforHealth / ClinicalDG
  An Empirical Framework for Domain Generalization In Clinical Settings
  ☆29Updated 2 years ago
• julschoen / Latent-Space-Exploration-CT
  Exploration of the latent space of generative models on Lung-CT scans
  ☆16Updated 2 years ago
• gulnazaki / counterfactual-benchmark
  Benchmark study of quality and faithfulness of counterfactual image generation
  ☆20Updated 2 months ago
• biomedia-mira / deepscm
  Repository for Deep Structural Causal Models for Tractable Counterfactual Inference
  ☆275Updated last year
• mlaves / well-calibrated-regression-uncertainty
  Code for our MIDL2020 submission "Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning".
  ☆31Updated 3 years ago
• duennbart / masterthesis_VAE
  VAE, Variational Autoencoder, Deep Learning, Medical Imaging
  ☆20Updated 2 years ago
• kamilest / brain-age-gnn
  Implementation for Stankevičiūtė et al. "Population graph GNNs for brain age prediction". GRL+ Workshop, ICML 2020.
  ☆39Updated 5 months ago
• biomedia-mira / causal-gen
  (ICML 2023) High Fidelity Image Counterfactuals with Probabilistic Causal Models
  ☆57Updated 8 months ago
• MIC-DKFZ / probabilistic_unet
  A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.
  ☆23Updated 6 years ago
• jenspetersen / probabilistic-unet
  A PyTorch implementation of the Probabilistic U-Net, applied to probabilistic glioma growth
  ☆43Updated 5 years ago
• singlaayush / MINIT
  This repository houses the official implementation of Multiple Instance NeuroImage Transformer (MINiT) paper, accepted at PRedictive Inte…
  ☆14Updated 2 years ago
• vios-s / Diff-SCM
  Code for Diff-SCM paper
  ☆93Updated last year
• mengweiren / longitudinal-representation-learning
  ☆18Updated 2 years ago
• chl8856 / DeepIMV
  A Variational Information Bottleneck Approach to Multi-Omics Data Integration
  ☆23Updated 3 years ago
• batmanlab / Explanation_by_Progressive_Exaggeration
  Explanation by Progressive Exaggeration
  ☆20Updated 2 years ago
• dmilios / dirichletGPC
  ☆17Updated 6 years ago
• raghavian / graph_refinement
  This is official Pytorch implementation of "Graph Refinement based Airway Extraction using Mean-Field Networks and Graph Neural Networks"…
  ☆33Updated 2 years ago
• evanmy / sae
  Accepted in MIDL 2020
  ☆32Updated 3 years ago
• MIC-DKFZ / mood
  Repository for the Medical Out-of-Distribution Analysis Challenge.
  ☆61Updated 6 months ago
• hrlblab / SimTriplet
  SimTriplet: PyTorch Implementation
  ☆27Updated 3 years ago
• asmitapoddar / uncertainty-estimation-DiabeticRetinopathy
  Estimating uncertainty of neural networks for automated screening of Diabetic Retinopathy using the PyTorch framework. Generated visual e…
  ☆20Updated 4 years ago
• NYUMedML / conditional_ssl_hist
  ☆14Updated 2 years ago
• cianeastwood / qrm
  Quantile risk minimization
  ☆24Updated 6 months ago
• MLforHealth / CXR_Fairness
  Improving the Fairness of Chest X-ray Classifiers
  ☆14Updated 2 years ago