Alternatives and similar repositories for coco-eval

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

• samar-khanna / ExPLoRA
  Official code repository for ICML 2025 paper: "ExPLoRA: Parameter-Efficient Extended Pre-training to Adapt Vision Transformers under Doma…
  ☆38Updated 3 weeks ago
• ternaus / base64ToImageConverters
  Library for converting from RGB / GrayScale image to base64 and back.
  ☆19Updated 2 years ago
• data2ml / all-clip
  Load any clip model with a standardized interface
  ☆21Updated last year
• NVlabs / STL
  Official Pytorch Implementation of Self-emerging Token Labeling
  ☆35Updated last year
• elsevierlabs-os / clip-image-search
  Fine-tuning OpenAI CLIP Model for Image Search on medical images
  ☆76Updated 3 years ago
• alenic / timm-models-explorer
  Timm model explorer
  ☆41Updated last year
• apple / ml-mofi
  ☆59Updated last year
• kirill-vish / Beyond-INet
  Code for experiments for "ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy"
  ☆101Updated 10 months ago
• EPFL-VILAB / fm-vision-evals
  ☆68Updated 2 weeks ago
• huggingface / pixparse
  Pixel Parsing. A reproduction of OCR-free end-to-end document understanding models with open data
  ☆21Updated last year
• FireFYF / ScrollNet
  ScrollNet for Continual Learning
  ☆11Updated last year
• dnth / supercharge-your-pytorch-image-models-blogpost
  Supercharge Your PyTorch Image Models: Bag of Tricks to 8x Faster Inference with ONNX Runtime & Optimizations
  ☆23Updated 10 months ago
• visual-layer / visuallayer
  Simplify Your Visual Data Ops. Find and visualize issues with your computer vision datasets such as duplicates, anomalies, data leakage, …
  ☆70Updated 2 months ago
• crypdick / timm-lr-scheduler-explorer
  A dashboard for exploring timm learning rate schedulers
  ☆19Updated 8 months ago
• facebookresearch / tce
  Library for the Test-based Calibration Error (TCE) metric to quantify the degree to classifier calibration.
  ☆13Updated last year
• roboflow / cvevals
  Evaluate the performance of computer vision models and prompts for zero-shot models (Grounding DINO, CLIP, BLIP, DINOv2, ImageBind, model…
  ☆36Updated last year
• facebookresearch / adaptive_scheduling
  Experimental scripts for researching data adaptive learning rate scheduling.
  ☆23Updated last year
• ravidziv / SimplifyingImbalancedTraining
  ☆8Updated last year
• arsenyinfo / qudida
  QUick and DIrty Domain Adaptation
  ☆22Updated last year
• ashishpatel26 / Image-Search-Engine
  Image Search Engine with HuggingFace Sentence Transformer
  ☆12Updated last year
• SamsungSAILMontreal / PAPA
  Repository for the PopulAtion Parameter Averaging (PAPA) paper
  ☆26Updated last year
• rasbt / comparing-automatic-augmentation-blog
  Comparing four automatic image augmentation techniques in PyTorch: AutoAugment, RandAugment, AugMix, and TrivialAugment
  ☆30Updated 2 years ago
• FrancescoSaverioZuppichini / DropPath
  Implementing DropPath/StochasticDepth in PyTorch
  ☆16Updated 3 years ago
• ariG23498 / mmdp
  ☆27Updated 3 weeks ago
• layer6ai-labs / calo-forest
  A scalable implementation of diffusion and flow-matching with XGBoost models, applied to calorimeter data.
  ☆18Updated 9 months ago
• phlippe / asci_cbl_practicals
  The repository for the Deep Learning practicals of the ASCI Computer Vision by Learning course 2022
  ☆14Updated 3 years ago
• tchaton / pytorch2lightning
  ☆15Updated 4 years ago
• simonsanvil / DALL-E-Explained
  Description and applications of OpenAI's paper about DALL-E (2021) and implementation of other (CLIP-guided) zero-shot text-to-image gene…
  ☆33Updated 2 years ago
• lucidrains / MaMMUT-pytorch
  Implementation of MaMMUT, a simple vision-encoder text-decoder architecture for multimodal tasks from Google, in Pytorch
  ☆103Updated last year
• awesome-panel / awesome-panel-lightning
  ☆21Updated 3 years ago