Alternatives and similar repositories for vlm_shapebias

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

• ExplainableML / WaffleCLIP
  Official repository for the ICCV 2023 paper: "Waffling around for Performance: Visual Classification with Random Words and Broad Concepts…
  ☆61Updated 2 years ago
• andrijazz / ash
  Code release for paper Extremely Simple Activation Shaping for Out-of-Distribution Detection
  ☆55Updated last year
• FarinaMatteo / zero
  [NeurIPS '24] Frustratingly easy Test-Time Adaptation of VLMs!!
  ☆60Updated 9 months ago
• spetryk / GALS
  ☆13Updated 3 years ago
• Trustworthy-ML-Lab / CLIP-dissect
  [ICLR 23 spotlight] An automatic and efficient tool to describe functionalities of individual neurons in DNNs
  ☆59Updated 2 years ago
• chawins / adv-part-model
  Code for a research paper "Part-Based Models Improve Adversarial Robustness" (ICLR 2023)
  ☆23Updated 2 years ago
• Muzammal-Naseer / DCViT-AT
  Official repository for "Boosting Adversarial Transferability using Dynamic Cues " (ICLR 2023)
  ☆20Updated 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"
  ☆50Updated last year
• oripress / CCC
  Code for Continuously Changing Corruptions (CCC) benchmark + evaluation
  ☆40Updated last year
• boyazeng / understand_bias
  Code release for "Understanding Bias in Large-Scale Visual Datasets"
  ☆22Updated last year
• j-cb / NINCO
  Code and data for the paper "In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation"
  ☆26Updated 2 years ago
• mdabbah / COOD_benchmarking
  ☆16Updated last year
• Hritikbansal / generative-robustness
  Create generated datasets and train robust classifiers
  ☆36Updated 2 years ago
• locuslab / FLYP
  Code for Finetune like you pretrain: Improved finetuning of zero-shot vision models
  ☆104Updated 2 years ago
• yuhui-zh15 / drml
  Official Code Release for "Diagnosing and Rectifying Vision Models using Language" (ICLR 2023)
  ☆34Updated 2 years ago
• brendel-group / clip-ood
  Official code for the paper "Does CLIP's Generalization Performance Mainly Stem from High Train-Test Similarity?" (ICLR 2024)
  ☆10Updated 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…
  ☆28Updated 7 months ago
• s-kumano / imagenet-superclass
  The example of correspondence between fine classes and superclasses (coarse classes) in ImageNet.
  ☆13Updated last year
• hamidkazemi22 / CLIPInversion
  What do we learn from inverting CLIP models?
  ☆57Updated last year
• changdaeoh / BlackVIP
  Official implementation for CVPR'23 paper "BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning"
  ☆109Updated 2 years ago
• naver-ai / dawin
  [ICLR 2025] Official PyTorch implementation of "DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation"
  ☆26Updated 6 months ago
• OPTML-Group / ILM-VP
  [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…
  ☆53Updated 2 years ago
• AI4LIFE-GROUP / SpLiCE
  Sparse Linear Concept Embeddings
  ☆126Updated 9 months ago
• zycheiheihei / Transferable-Visual-Prompting
  [CVPR2024 Highlight] Official implementation for Transferable Visual Prompting. The paper "Exploring the Transferability of Visual Prompt…
  ☆46Updated last year
• modestyachts / ImageNetV2_pytorch
  ImageNetV2 Pytorch Dataset
  ☆42Updated 2 years ago
• lisadunlap / ALIA
  Augmenting with Language-guided Image Augmentation (ALIA)
  ☆80Updated 2 years ago
• kdariina / CLIP-not-BoW-unimodally
  Code for "CLIP Behaves like a Bag-of-Words Model Cross-modally but not Uni-modally"
  ☆18Updated 10 months ago
• jmiemirza / ActMAD
  ActMAD: Activation Matching to Align Distributions for Test-Time-Training (CVPR 2023)
  ☆21Updated 2 years ago
• princetonvisualai / multimodal_dataset_distillation
  ☆62Updated last year
• MLAI-Yonsei / CaRot
  source code for NeurIPS'24 paper "Towards Calibrated Robust Fine-Tuning of Vision-Language Models"
  ☆14Updated 2 months ago