Alternatives and similar repositories for beyond-trivial-explanations

Users that are interested in beyond-trivial-explanations are comparing it to the libraries listed below

• ys-zong / MEDFAIR
  [ICLR 2023 spotlight] MEDFAIR: Benchmarking Fairness for Medical Imaging
  ☆71Updated 2 years ago
• mateoespinosa / cem
  Repository for our NeurIPS 2022 paper "Concept Embedding Models", our NeurIPS 2023 paper "Learning to Receive Help", and our ICML 2025 pa…
  ☆69Updated last month
• YyzHarry / SubpopBench
  [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift
  ☆111Updated 2 years ago
• zju-vipa / ProtoPFormer
  ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition
  ☆40Updated 2 years ago
• vios-s / Diff-SCM
  Code for Diff-SCM paper
  ☆99Updated 2 years ago
• gulnazaki / counterfactual-benchmark
  Benchmark study of quality and faithfulness of counterfactual image generation
  ☆30Updated 6 months ago
• MaheepChaudhary / Causality-in-Trustworthy-Machine-Learning
  The repository contains lists of papers on causality and how relevant techniques are being used to further enhance deep learning era comp…
  ☆99Updated 2 years ago
• pandeydeep9 / EvidentialResearch2023
  Analysis of evidential models
  ☆14Updated 2 years ago
• oscarkey / explanations-by-minimizing-uncertainty
  Code for "Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties"
  ☆19Updated 4 years ago
• AntonotnaWang / HINT
  [CVPR 2022] HINT: Hierarchical Neuron Concept Explainer
  ☆20Updated 2 years ago
• valentyn1boreiko / DVCEs
  ☆43Updated last year
• IBM / concept_transformer
  Code for the ICLR 2022 paper "Attention-based interpretability with Concept Transformers"
  ☆42Updated 2 months ago
• Trustworthy-ML-Lab / Label-free-CBM
  [ICLR 23] A new framework to transform any neural networks into an interpretable concept-bottleneck-model (CBM) without needing labeled c…
  ☆121Updated last year
• gmum / ProtoPShare
  GitHub repository for KDD 2021 work: ProtoPShare: Prototypical Parts Sharing for Similarity Discovery in Interpretable Image Classificati…
  ☆14Updated 4 years ago
• CherBass / ICAM
  ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping
  ☆54Updated 3 years ago
• alceubissoto / debiasing-skin
  ☆18Updated 5 years ago
• mertyg / post-hoc-cbm
  Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023
  ☆86Updated last year
• ejkim47 / prob-cbm
  Official code for "Probabilistic Concept Bottleneck Models (ICML 2023)"
  ☆18Updated 2 years ago
• peiwang062 / SCOUT
  ☆12Updated 3 years ago
• gmum / ProtoPool
  Code for "Interpretable image classification with differentiable prototypes assignment", ECCV 2022
  ☆28Updated 2 years ago
• bat-sheva / Conformal-Learning
  ☆25Updated 3 years ago
• JonathanCrabbe / CARs
  This repository contains the implementation of Concept Activation Regions, a new framework to explain deep neural networks with human con…
  ☆14Updated 3 years ago
• ysharma1126 / ssl_identifiability
  Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style
  ☆54Updated 3 years ago
• batmanlab / Explanation_by_Progressive_Exaggeration
  Explanation by Progressive Exaggeration
  ☆20Updated 2 years ago
• MLforHealth / CXR_Fairness
  Improving the Fairness of Chest X-ray Classifiers
  ☆14Updated 3 years ago
• kilianFatras / JUMBOT
  Official Python3 implementation of our ICML 2021 paper "Unbalanced minibatch Optimal Transport; applications to Domain Adaptation"
  ☆47Updated 3 years ago
• princetonvisualai / DomainBiasMitigation
  ☆72Updated 5 years ago
• abonte / protopdebug
  Implementation of Concept-level Debugging of Part-Prototype Networks
  ☆12Updated 2 years ago
• arobey1 / mbdg
  ☆36Updated 4 years ago
• zhangrh93 / InvertibleCE
  Invertible Concept-based Explanation (ICE)
  ☆18Updated 3 weeks ago