Alternatives and similar repositories for hype

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

• naver-ai / clip4dm
  Official PyTorch implementation of Extract Free Dense Misalignment from CLIP (AAAI'25)
  ☆21Updated last month
• naver-ai / dawin
  ☆24Updated 2 months ago
• naver-ai / prolip
  ☆51Updated 2 months ago
• yejipark-m / ConVis
  [AAAI 2025] ConVis: Contrastive Decoding with Hallucination Visualization for Mitigating Hallucinations in Multimodal Large Language Mode…
  ☆18Updated 8 months ago
• naver-ai / pcmepp
  Official Pytorch implementation of "Improved Probabilistic Image-Text Representations" (ICLR 2024)
  ☆58Updated last year
• sanghyeokchu / DropClass
  Learning Debiased and Disentangled Representations for Semantic Segmentation (NeurIPS 2021)
  ☆13Updated 3 years ago
• kakaobrain / noc
  ☆46Updated last year
• naver-ai / NeglectedFreeLunch
  ☆38Updated last year
• kdariina / CLIP-not-BoW-unimodally
  Code for "CLIP Behaves like a Bag-of-Words Model Cross-modally but not Uni-modally"
  ☆12Updated 3 months ago
• skynbe / pseudo-attributes
  Official implementation of BPA (CVPR 2022)
  ☆12Updated 2 years ago
• seonwoo-min / GVRT
  [ECCV-2022]Grounding Visual Representations with Texts for Domain Generalization
  ☆31Updated 2 years ago
• ExplainableML / WaffleCLIP
  Official repository for the ICCV 2023 paper: "Waffling around for Performance: Visual Classification with Random Words and Broad Concepts…
  ☆57Updated last year
• ytaek-oh / awesome-vl-compositionality
  Awesome Vision-Language Compositionality, a comprehensive curation of research papers in literature.
  ☆22Updated 3 months ago
• Nayeong-V-Kim / LWBC
  ☆21Updated 2 years ago
• naver-ai / lut
  [ECCV 2024] Official PyTorch implementation of LUT "Learning with Unmasked Tokens Drives Stronger Vision Learners"
  ☆12Updated 6 months ago
• naver-ai / dap-cl
  Official code of "Generating Instance-level Prompts for Rehearsal-free Continual Learning (ICCV 2023)"
  ☆42Updated last year
• ldynx / SAVE
  ☆27Updated 6 months ago
• naver-ai / eccv-caption
  Extended COCO Validation (ECCV) Caption dataset (ECCV 2022)
  ☆56Updated last year
• changdaeoh / multimodal-mixup
  Official implementation for NeurIPS'23 paper "Geodesic Multi-Modal Mixup for Robust Fine-Tuning"
  ☆33Updated 8 months ago
• naver-ai / i-Blurry
  Official Pytorch implementation of Online Continual Learning on Class Incremental Blurry Task Configuration with Anytime Inference (ICLR …
  ☆53Updated 2 years ago
• chingyaoc / debias_vl
  Code for Debiasing Vision-Language Models via Biased Prompts
  ☆57Updated 2 years ago
• changdaeoh / BlackVIP
  Official implementation for CVPR'23 paper "BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning"
  ☆110Updated last year
• RAIVNLab / sugar-crepe
  [NeurIPS 2023] A faithful benchmark for vision-language compositionality
  ☆79Updated last year
• yuhui-zh15 / drml
  Official Code Release for "Diagnosing and Rectifying Vision Models using Language" (ICLR 2023)
  ☆33Updated last year
• hee-suk-yoon / C-TPT
  [ICLR'24] Official code for "C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion"
  ☆16Updated 11 months ago
• MLAI-Yonsei / CaRot
  source code for NeurIPS'24 paper "Towards Calibrated Robust Fine-Tuning of Vision-Language Models"
  ☆13Updated 8 months ago
• naver-ai / seit
  [ECCV2024][ICCV2023] Official PyTorch implementation of SeiT++ and SeiT
  ☆55Updated 9 months ago
• s-kumano / imagenet-superclass
  The example of correspondence between fine classes and superclass (coarse class) in ImageNet.
  ☆12Updated 6 months ago
• RAIVNLab / CREPE
  [CVPR23 Highlight] CREPE: Can Vision-Language Foundation Models Reason Compositionally?
  ☆32Updated 2 years ago
• locuslab / FLYP
  Code for Finetune like you pretrain: Improved finetuning of zero-shot vision models
  ☆99Updated last year