Alternatives and similar repositories for text-to-image-eval:

Users that are interested in text-to-image-eval are comparing it to the libraries listed below

• fangyuan-ksgk / Mini-LLaVA
  A minimal implementation of LLaVA-style VLM with interleaved image & text & video processing ability.
  ☆91Updated 4 months ago
• voxel51 / reconstruction-error-ratios
  Estimate dataset difficulty and detect label mistakes using reconstruction error ratios!
  ☆24Updated 3 months ago
• voxel51 / zcore
  ☆69Updated last month
• jacobmarks / zero-shot-prediction-plugin
  Run zero-shot prediction models on your data
  ☆32Updated 4 months ago
• apple / ml-mofi
  ☆58Updated last year
• roboflow / cvevals
  Evaluate the performance of computer vision models and prompts for zero-shot models (Grounding DINO, CLIP, BLIP, DINOv2, ImageBind, model…
  ☆35Updated last year
• apple / ml-veclip
  The official repo for the paper "VeCLIP: Improving CLIP Training via Visual-enriched Captions"
  ☆244Updated 3 months ago
• mailcorahul / auto_labeler
  auto_labeler - An all-in-one library to automatically label vision data
  ☆14Updated 3 months ago
• XiaoduoAILab / XmodelVLM
  ☆68Updated 10 months ago
• ZhilingYan / GPT4V-Medical-Report
  ☆43Updated 7 months ago
• 2U1 / SmolVLM-Finetune
  An open-source implementaion for fine-tuning SmolVLM.
  ☆26Updated last week
• ariG23498 / fine-tune-paligemma
  Notebooks for fine tuning pali gemma
  ☆101Updated 3 weeks ago
• GaiZhenbiao / Phi3V-Finetuning
  Parameter-efficient finetuning script for Phi-3-vision, the strong multimodal language model by Microsoft.
  ☆58Updated 10 months ago
• elsevierlabs-os / clip-image-search
  Fine-tuning OpenAI CLIP Model for Image Search on medical images
  ☆76Updated 3 years ago
• jacobmarks / awesome-clip-papers
  The most impactful papers related to contrastive pretraining for multimodal models!
  ☆66Updated last year
• wjbmattingly / qwen2-vl-finetune-huggingface
  This project is a collection of fine-tuning scripts to help researchers fine-tune Qwen 2 VL on HuggingFace datasets.
  ☆65Updated 7 months ago
• roboflow / model-leaderboard
  Which model is the best at object detection? Which is best for small or large objects? We compare the results in a handy leaderboard.
  ☆70Updated last week
• picselliahq / atlas
  Solving Computer Vision with AI agents
  ☆31Updated 2 weeks ago
• MILVLG / imp
  a family of highly capabale yet efficient large multimodal models
  ☆179Updated 8 months ago
• facebookresearch / ssl-data-curation
  PyTorch code for hierarchical k-means -- a data curation method for self-supervised learning
  ☆152Updated 10 months ago
• hsouri / Battle-of-the-Backbones
  ☆201Updated last year
• apple / ml-tic-clip
  Repository for the paper: "TiC-CLIP: Continual Training of CLIP Models".
  ☆102Updated 10 months ago
• aimagelab / LLaVA-MORE
  LLaVA-MORE: A Comparative Study of LLMs and Visual Backbones for Enhanced Visual Instruction Tuning
  ☆133Updated 2 weeks ago
• Beckschen / ViTamin
  [CVPR 2024] Official implementation of "ViTamin: Designing Scalable Vision Models in the Vision-language Era"
  ☆203Updated 11 months ago
• autodistill / autodistill-florence-2
  Use Florence 2 to auto-label data for use in training fine-tuned object detection models.
  ☆63Updated 8 months ago
• AviSoori1x / seemore
  From scratch implementation of a vision language model in pure PyTorch
  ☆214Updated last year
• andimarafioti / florence2-finetuning
  Quick exploration into fine tuning florence 2
  ☆309Updated 7 months ago
• kirill-vish / Beyond-INet
  Code for experiments for "ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy"
  ☆101Updated 7 months ago
• WisconsinAIVision / ViP-LLaVA
  [CVPR2024] ViP-LLaVA: Making Large Multimodal Models Understand Arbitrary Visual Prompts
  ☆319Updated 9 months ago
• TempleX98 / MoVA
  [NeurIPS 2024] MoVA: Adapting Mixture of Vision Experts to Multimodal Context
  ☆154Updated 7 months ago