Popular GitHub Repositories for Siglip

Custom ComfyUI nodes for Vision Language Models, Large Language Models, Image to Music, Text to Music, Consistent and Random Creative Prompt Generation

Official repository of "TryOffDiff: Virtual-Try-Off via High-Fidelity Garment Reconstruction using Diffusion Models".

Inference and fine-tuning examples for vision models from ? Transformers

Official PyTorch implementation of the WACV 2025 Oral paper "Composed Image Retrieval for Training-FREE DOMain Conversion".

Low-latency ONNX and TensorRT based zero-shot classification and detection with contrastive language-image pre-training based prompts

A minimal, but effective implementation of CLIP (Contrastive Language-Image Pretraining) in PyTorch

Code for Post-hoc Probabilistic Vision-Language Models

Notes for the Vision Language Model implementation by Umar Jamil

Multilabel-GeoSceneNet is a vision-language encoder model fine-tuned from google/siglip2-base-patch16-224 for multi-label image classification. It is designed to recognize and label multiple geographic or environmental elements in a single image using the SiglipForImageClassification architecture.

SAT-Landforms-Classifier is an image classification vision-language encoder model fine-tuned from google/siglip2-base-patch16-224 for a single-label classification task. It is designed to classify satellite images into different landform categories using the SiglipForImageClassification architecture

Gender-Classifier-Mini is an image classification vision-language encoder model fine-tuned from google/siglip2-base-patch16-224 for a single-label classification task. It is designed to classify images based on gender using the SiglipForImageClassification architecture.

Painting-126-DomainNet is an image classification vision-language encoder model fine-tuned from google/siglip2-base-patch16-224 for a single-label classification task. It is designed to classify paintings into 126 domain categories using the SiglipForImageClassification architecture

Geometric-Shapes-Classification is an image classification vision-language encoder model fine-tuned from google/siglip2-base-patch16-224 for a multi-class shape recognition task. It classifies various geometric shapes using the SiglipForImageClassification architecture.

A custom Vision-Language Model (VLM) built from scratch, using SigLip for contrastive learning and a ViT-based encoder to generate meaningful image captions and semantic descriptions.

A custom Vision-Language Model (VLM) built from scratch, using SigLip for contrastive learning and a ViT-based encoder to generate meaningful image captions and semantic descriptions.

ClassyImage is a demo for zero-shot image classification using SigLIP 2 from Hugging Face.