Alternatives and similar repositories for Discover-then-Name

Users that are interested in Discover-then-Name are comparing it to the libraries listed below

• 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…
  ☆112Updated last year
• Trustworthy-ML-Lab / CLIP-dissect
  [ICLR 23 spotlight] An automatic and efficient tool to describe functionalities of individual neurons in DNNs
  ☆55Updated last year
• mertyg / post-hoc-cbm
  Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023
  ☆84Updated last year
• rachtibat / LRP-eXplains-Transformers
  Layer-wise Relevance Propagation for Large Language Models and Vision Transformers [ICML 2024]
  ☆189Updated 2 months ago
• maxdreyer / Reveal2Revise
  Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models. Paper presented at MICCAI 2023 conference.
  ☆20Updated last year
• YyzHarry / SubpopBench
  [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift
  ☆109Updated 2 years ago
• maxdreyer / L-CRP
  Concept Relevance Propagation for Localization Models, accepted at SAIAD workshop at CVPR 2023.
  ☆15Updated last year
• lkopf / cosy
  [NeurIPS 2024] CoSy is an automatic evaluation framework for textual explanations of neurons.
  ☆17Updated 2 months ago
• dgcnz / FACT
  Code for [Re] On the Reproducibility of Post-Hoc Concept Bottleneck Models.
  ☆12Updated 9 months ago
• serre-lab / Horama
  ☆15Updated 4 months ago
• lisa-wm / entropybaseduq
  ☆10Updated 5 months ago
• yewsiang / ConceptBottleneck
  Concept Bottleneck Models, ICML 2020
  ☆212Updated 2 years ago
• visinf / funnybirds-framework
  FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods (ICCV 2023)
  ☆16Updated last year
• oripress / CCC
  Code for Continuously Changing Corruptions (CCC) benchmark + evaluation
  ☆37Updated last year
• KathPra / DCBM
  Official repo for ICML25 paper: DCBM: Data-Efficient Visual Concept Bottleneck Models
  ☆22Updated 2 months ago
• YueYANG1996 / LaBo
  CVPR 2023: Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification
  ☆96Updated last year
• YanNeu / spurious_imagenet
  Spurious Features Everywhere - Large-Scale Detection of Harmful Spurious Features in ImageNet
  ☆32Updated 2 years ago
• deel-ai / Craft
  👋 Code for : "CRAFT: Concept Recursive Activation FacTorization for Explainability" (CVPR 2023)
  ☆66Updated 2 years ago
• BigML-CS-UCLA / SpuCo
  SpuCo is a Python package developed to further research to address spurious correlations.
  ☆24Updated 8 months ago
• FarinaMatteo / zero
  [NeurIPS '24] Frustratingly easy Test-Time Adaptation of VLMs!!
  ☆55Updated 5 months ago
• facebookresearch / Whac-A-Mole
  Code for the paper "A Whac-A-Mole Dilemma Shortcuts Come in Multiples Where Mitigating One Amplifies Others"
  ☆49Updated last year
• rachtibat / zennit-crp
  An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization
  ☆130Updated last year
• valentyn1boreiko / DVCEs
  ☆39Updated last year
• Prisma-Multimodal / ViT-Prisma
  ViT Prisma is a mechanistic interpretability library for Vision and Video Transformers (ViTs).
  ☆306Updated last month
• B-cos / B-cos-v2
  Official PyTorch implementation of improved B-cos models
  ☆51Updated last year
• HugoFry / mats_sae_training_for_ViTs
  ☆20Updated last year
• paulgavrikov / vlm_shapebias
  Official code for "Can We Talk Models Into Seeing the World Differently?" (ICLR 2025).
  ☆26Updated 7 months ago
• annahedstroem / MetaQuantus
  MetaQuantus is an XAI performance tool to identify reliable evaluation metrics
  ☆39Updated last year
• mateoespinosa / cem
  Repository for our NeurIPS 2022 paper "Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off" and our NeurIPS 2023 paper…
  ☆68Updated last month
• zhangrh93 / InvertibleCE
  Invertible Concept-based Explanation (ICE)
  ☆18Updated 4 years ago