Alternatives and similar repositories for clip-ood:

Users that are interested in clip-ood are comparing it to the libraries listed below

• yuhui-zh15 / drml
  Official Code Release for "Diagnosing and Rectifying Vision Models using Language" (ICLR 2023)
  ☆33Updated last year
• ExplainableML / WaffleCLIP
  Official repository for the ICCV 2023 paper: "Waffling around for Performance: Visual Classification with Random Words and Broad Concepts…
  ☆56Updated last year
• orrzohar / LOVM
  [NeurIPS 2023] Official Pytorch code for LOVM: Language-Only Vision Model Selection
  ☆20Updated last year
• Hritikbansal / generative-robustness
  Create generated datasets and train robust classifiers
  ☆34Updated last year
• tsb0601 / MultiMon
  ☆24Updated last year
• yossigandelsman / second_order_lens
  Official pytorch implementation of "Interpreting the Second-Order Effects of Neurons in CLIP"
  ☆34Updated 4 months ago
• boyazeng / understand_bias
  Code release for "Understanding Bias in Large-Scale Visual Datasets"
  ☆19Updated 3 months ago
• SprocketLab / roboshot
  ☆22Updated 10 months ago
• showlab / datacentric.vlp
  Compress conventional Vision-Language Pre-training data
  ☆49Updated last year
• mchiquier / llm-mutate
  ☆13Updated 5 months ago
• Aaditya-Singh / Low-Shot-Robustness
  Code for the ICCV 2023 paper "Benchmarking Low-Shot Robustness to Natural Distribution Shifts"
  ☆11Updated last year
• k1rezaei / Text-to-concept
  ☆31Updated last year
• alinlab / b2t
  Bias-to-Text: Debiasing Unknown Visual Biases through Language Interpretation
  ☆31Updated last year
• ethanlshen / HierNet
  Code for "Are “Hierarchical” Visual Representations Hierarchical?" in NeurIPS Workshop for Symmetry and Geometry in Neural Representation…
  ☆20Updated last year
• MadryLab / dataset-interfaces
  Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation
  ☆45Updated 2 years ago
• facebookresearch / SIE
  Code for the paper Self-Supervised Learning of Split Invariant Equivariant Representations
  ☆28Updated last year
• Muzammal-Naseer / DCViT-AT
  Official repository for "Boosting Adversarial Transferability using Dynamic Cues " (ICLR 2023)
  ☆19Updated last year
• ytaek-oh / vl_compo
  ☆11Updated 8 months ago
• CVMI-Lab / clip-beyond-tail
  (NeurIPS 2024) What Makes CLIP More Robust to Long-Tailed Pre-Training Data? A Controlled Study for Transferable Insights
  ☆24Updated 5 months ago
• oripress / CCC
  Code for Continuously Changing Corruptions (CCC) benchmark + evaluation
  ☆35Updated 7 months ago
• amitakamath / vl_text_encoders_are_bottlenecks
  Code and datasets for "Text encoders are performance bottlenecks in contrastive vision-language models". Coming soon!
  ☆11Updated last year
• kaist-ami / BEAF
  [ECCV’24] Official repository for "BEAF: Observing Before-AFter Changes to Evaluate Hallucination in Vision-language Models"
  ☆19Updated last week
• deeplearning-wisc / NSCL
  Code for ICML 2023 paper "When and How Does Known Class Help Discover Unknown Ones? Provable Understandings Through Spectral Analysis"
  ☆13Updated last year
• modestyachts / ImageNetV2_pytorch
  ImageNetV2 Pytorch Dataset
  ☆40Updated last year
• RAIVNLab / CREPE
  [CVPR23 Highlight] CREPE: Can Vision-Language Foundation Models Reason Compositionally?
  ☆32Updated last year
• jmiemirza / ActMAD
  ActMAD: Activation Matching to Align Distributions for Test-Time-Training (CVPR 2023)
  ☆17Updated last year
• mlfoundations / clip_quality_not_quantity
  ☆29Updated 2 years ago
• FarinaMatteo / zero
  [NeurIPS '24] Frustratingly easy Test-Time Adaptation of VLMs!!
  ☆41Updated last week
• shubhamprshr27 / NeglectedTailsVLM
  This repository houses the code for the paper - "The Neglected of VLMs"
  ☆28Updated 3 months ago
• BatsResearch / ex2
  If CLIP Could Talk: Understanding Vision-Language Model Representations Through Their Preferred Concept Descriptions
  ☆16Updated 11 months ago