Alternatives and similar repositories for clip_quality_not_quantity

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

• locuslab / T-MARS
  Code for T-MARS data filtering
  ☆35Updated 2 years ago
• yuhui-zh15 / drml
  Official Code Release for "Diagnosing and Rectifying Vision Models using Language" (ICLR 2023)
  ☆34Updated 2 years ago
• mlfoundations / patching
  Patching open-vocabulary models by interpolating weights
  ☆91Updated 2 years ago
• BatsResearch / ex2
  If CLIP Could Talk: Understanding Vision-Language Model Representations Through Their Preferred Concept Descriptions
  ☆17Updated last year
• SivanDoveh / DAC
  Repository for the paper: dense and aligned captions (dac) promote compositional reasoning in vl models
  ☆27Updated 2 years ago
• 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
• 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
• ajd12342 / why-winoground-hard
  Code for 'Why is Winoground Hard? Investigating Failures in Visuolinguistic Compositionality', EMNLP 2022
  ☆31Updated 2 years ago
• k1rezaei / Text-to-concept
  ☆35Updated last year
• TencentARC / pi-Tuning
  Official code for "pi-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation", ICML 2023.
  ☆33Updated 2 years ago
• chingyaoc / debias_vl
  Code for Debiasing Vision-Language Models via Biased Prompts
  ☆59Updated 2 years ago
• LooperXX / ManagerTower
  Code for ACL 2023 Oral Paper: ManagerTower: Aggregating the Insights of Uni-Modal Experts for Vision-Language Representation Learning
  ☆12Updated 4 months ago
• jmerullo / limber
  https://arxiv.org/abs/2209.15162
  ☆53Updated 2 years ago
• Weixin-Liang / MetaShift
  MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts (ICLR 2022)
  ☆109Updated 3 years ago
• facebookresearch / reliable_vqa
  Implementation for the paper "Reliable Visual Question Answering Abstain Rather Than Answer Incorrectly" (ECCV 2022: https//arxiv.org/abs…
  ☆38Updated 2 years ago
• AllanYangZhou / generative-invariance-transfer
  ☆26Updated 3 years ago
• NVlabs / PALAVRA
  ☆53Updated 3 years ago
• Optimization-AI / SogCLR
  Stochastic Optimization for Global Contrastive Learning without Large Mini-batches
  ☆20Updated 2 years ago
• sIncerass / MVLPT
  code for "Multitask Vision-Language Prompt Tuning" https://arxiv.org/abs/2211.11720
  ☆56Updated last year
• mshukor / eP-ALM
  [ICCV23] Official implementation of eP-ALM: Efficient Perceptual Augmentation of Language Models.
  ☆27Updated 2 years ago
• Yangyi-Chen / CoTConsistency
  The released data for paper "Measuring and Improving Chain-of-Thought Reasoning in Vision-Language Models".
  ☆34Updated 2 years ago
• facebookresearch / CiT
  Code for the paper titled "CiT Curation in Training for Effective Vision-Language Data".
  ☆78Updated 2 years ago
• goel-shashank / CyCLIP
  ☆120Updated 2 years ago
• Victorwz / VaLM
  VaLM: Visually-augmented Language Modeling. ICLR 2023.
  ☆56Updated 2 years ago
• changdaeoh / multimodal-mixup
  Official implementation for NeurIPS'23 paper "Geodesic Multi-Modal Mixup for Robust Fine-Tuning"
  ☆36Updated last year
• codezakh / LilT
  [ICLR 23] Contrastive Aligned of Vision to Language Through Parameter-Efficient Transfer Learning
  ☆40Updated 2 years ago
• archiki / RepARe
  ☆21Updated 2 years ago
• RAIVNLab / CREPE
  [CVPR23 Highlight] CREPE: Can Vision-Language Foundation Models Reason Compositionally?
  ☆35Updated 2 years ago
• lancopku / clip-openness
  [ACL 2023] Delving into the Openness of CLIP
  ☆23Updated 2 years ago
• hammoudhasan / DiversitySSL
  Original code base for On Pretraining Data Diversity for Self-Supervised Learning
  ☆14Updated 11 months ago