Alternatives and similar repositories for DeViL

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

• wbw520 / BotCL
  Learning Bottleneck Concepts in Image Classification (CVPR 2023)
  ☆40Updated 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
• paulgavrikov / vlm_shapebias
  Official code for "Can We Talk Models Into Seeing the World Differently?" (ICLR 2025).
  ☆26Updated 6 months ago
• GLAMOR-USC / CLiMB
  The Continual Learning in Multimodality Benchmark
  ☆67Updated 2 years ago
• virajprabhu / LANCE
  LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images
  ☆32Updated last year
• goel-shashank / CyCLIP
  ☆120Updated 2 years ago
• AntonotnaWang / HINT
  [CVPR 2022] HINT: Hierarchical Neuron Concept Explainer
  ☆20Updated 2 years ago
• yuhui-zh15 / drml
  Official Code Release for "Diagnosing and Rectifying Vision Models using Language" (ICLR 2023)
  ☆33Updated 2 years ago
• allenai / close
  ☆59Updated last year
• ExplainableML / WaffleCLIP
  Official repository for the ICCV 2023 paper: "Waffling around for Performance: Visual Classification with Random Words and Broad Concepts…
  ☆57Updated 2 years ago
• mayug / VDT-Adapter
  This repository contains the code and datasets for our ICCV-W paper 'Enhancing CLIP with GPT-4: Harnessing Visual Descriptions as Prompts…
  ☆29Updated last year
• visinf / funnybirds
  FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods (ICCV 2023)
  ☆21Updated 4 months ago
• cvlab-columbia / DoubleRight
  ☆27Updated last year
• orrzohar / LOVM
  [NeurIPS 2023] Official Pytorch code for LOVM: Language-Only Vision Model Selection
  ☆21Updated last year
• Hritikbansal / generative-robustness
  Create generated datasets and train robust classifiers
  ☆36Updated last year
• princetonvisualai / HIVE
  HIVE: Evaluating the Human Interpretability of Visual Explanations (ECCV 2022)
  ☆20Updated 2 years ago
• boyazeng / understand_bias
  Code release for "Understanding Bias in Large-Scale Visual Datasets"
  ☆21Updated 8 months ago
• Computer-Vision-in-the-Wild / DataDownload
  ☆27Updated last year
• locuslab / FLYP
  Code for Finetune like you pretrain: Improved finetuning of zero-shot vision models
  ☆101Updated last year
• mertyg / post-hoc-cbm
  Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023
  ☆81Updated last year
• modestyachts / ImageNetV2_pytorch
  ImageNetV2 Pytorch Dataset
  ☆41Updated 2 years 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
• YugeTen / adios
  ☆65Updated 3 years ago
• YueYANG1996 / LaBo
  CVPR 2023: Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification
  ☆93Updated last year
• Trustworthy-ML-Lab / VLG-CBM
  [NeurIPS 24] A new training and evaluation framework for learning interpretable deep vision models and benchmarking different interpretab…
  ☆20Updated 2 months ago
• gyhandy / Hierarchy-CLIP
  [CVPR 2023] Improving Zero-shot Generalization and Robustness of Multi-modal Models
  ☆34Updated 2 years ago
• mbanani / lgssl
  [CVPR 2023] Learning Visual Representations via Language-Guided Sampling
  ☆149Updated 2 years ago
• moboehle / B-cos
  B-cos Networks: Alignment is All we Need for Interpretability
  ☆110Updated last year
• Aaditya-Singh / Low-Shot-Robustness
  Code for the ICCV 2023 paper "Benchmarking Low-Shot Robustness to Natural Distribution Shifts"
  ☆11Updated last year
• RAIVNLab / CREPE
  [CVPR23 Highlight] CREPE: Can Vision-Language Foundation Models Reason Compositionally?
  ☆33Updated 2 years ago