Alternatives and similar repositories for CLIPA

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

• facebookresearch / DCI
  Densely Captioned Images (DCI) dataset repository.
  ☆192Updated last year
• LAION-AI / scaling-laws-openclip
  Reproducible scaling laws for contrastive language-image learning (https://arxiv.org/abs/2212.07143)
  ☆176Updated 3 months ago
• google-research / syn-rep-learn
  Learning from synthetic data - code and models
  ☆322Updated last year
• facebookresearch / diht
  Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training
  ☆138Updated 2 years ago
• bfshi / scaling_on_scales
  When do we not need larger vision models?
  ☆407Updated 7 months ago
• baaivision / CapsFusion
  [CVPR 2024] CapsFusion: Rethinking Image-Text Data at Scale
  ☆212Updated last year
• snap-research / MyVLM
  Official Implementation for "MyVLM: Personalizing VLMs for User-Specific Queries" (ECCV 2024)
  ☆179Updated last year
• LijieFan / LaCLIP
  [NeurIPS 2023] Text data, code and pre-trained models for paper "Improving CLIP Training with Language Rewrites"
  ☆286Updated last year
• UCSC-VLAA / Recap-DataComp-1B
  [ICML 2025] This is the official repository of our paper "What If We Recaption Billions of Web Images with LLaMA-3 ?"
  ☆142Updated last year
• amazon-science / prompt-pretraining
  Official implementation for the paper "Prompt Pre-Training with Over Twenty-Thousand Classes for Open-Vocabulary Visual Recognition"
  ☆259Updated last year
• YuchenLiu98 / COMM
  Pytorch code for paper From CLIP to DINO: Visual Encoders Shout in Multi-modal Large Language Models
  ☆205Updated 8 months ago
• LightDXY / FT-CLIP
  CLIP Itself is a Strong Fine-tuner: Achieving 85.7% and 88.0% Top-1 Accuracy with ViT-B and ViT-L on ImageNet
  ☆221Updated 2 years ago
• allenai / unified-io-inference
  ☆228Updated last year
• facebookresearch / paco
  This repo contains documentation and code needed to use PACO dataset: data loaders and training and evaluation scripts for objects, parts…
  ☆286Updated last year
• ryanwebster90 / snip-dedup
  ☆103Updated last year
• apple / ml-veclip
  The official repo for the paper "VeCLIP: Improving CLIP Training via Visual-enriched Captions"
  ☆246Updated 8 months ago
• google-deepmind / perception_test
  ☆232Updated 3 months ago
• bfshi / TOAST
  Official code for "TOAST: Transfer Learning via Attention Steering"
  ☆188Updated 2 years ago
• X2FD / LVIS-INSTRUCT4V
  ☆133Updated last year
• Understanding-Visual-Datasets / VisDiff
  Official implementation of "Describing Differences in Image Sets with Natural Language" (CVPR 2024 Oral)
  ☆121Updated last year
• mu-cai / matryoshka-mm
  Matryoshka Multimodal Models
  ☆111Updated 8 months ago
• JialianW / GRiT
  GRiT: A Generative Region-to-text Transformer for Object Understanding (ECCV2024)
  ☆335Updated last year
• facebookresearch / flip
  Official Open Source code for "Scaling Language-Image Pre-training via Masking"
  ☆428Updated 2 years ago
• BAAI-DCAI / Visual-Instruction-Tuning
  SVIT: Scaling up Visual Instruction Tuning
  ☆164Updated last year
• Yushi-Hu / tifa
  TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering
  ☆175Updated last year
• yukw777 / EILEV
  EILeV: Eliciting In-Context Learning in Vision-Language Models for Videos Through Curated Data Distributional Properties
  ☆130Updated 10 months ago
• hammoudhasan / SynthCLIP
  Code base of SynthCLIP: CLIP training with purely synthetic text-image pairs from LLMs and TTIs.
  ☆100Updated 6 months ago
• facebookresearch / meru
  Code for the paper "Hyperbolic Image-Text Representations", Desai et al, ICML 2023
  ☆182Updated 2 years ago
• kohjingyu / fromage
  🧀 Code and models for the ICML 2023 paper "Grounding Language Models to Images for Multimodal Inputs and Outputs".
  ☆482Updated last year
• RotsteinNoam / FuseCap
  FuseCap: Leveraging Large Language Models for Enriched Fused Image Captions
  ☆55Updated last year