Search Packages

grad-cam

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

vision-llama

Implementation of VisionLLaMA from the paper: "VisionLLaMA: A Unified LLaMA Interface for Vision Tasks" in PyTorch and Zeta

metnet3-pytorch

MetNet 3 - Pytorch

autodistill-owl-vit

OWL-ViT module for use with Autodistill

transformer-implementations

Library - Vanilla, ViT, DeiT, BERT, GPT

artsleuth

AI Art Forensics & Analysis Framework — Brushstroke analysis, style attribution, forgery detection, and interpretable visual explanations powered by vision transformers.

vaas

VAAS is an inference-first, research-driven library for image integrity analysis. It integrates Vision Transformer Attention Mechanisms with patch-level self-consistency analysis to enable fine-grained localization and detection of visual inconsistencies across diverse image analysis tasks.

vistrans

Implementations of transformers based models for different vision tasks

huggingpics

🤗🖼️ HuggingPics: Fine-tune Vision Transformers for anything using images found on the web.

ssm-bridge

SSM-As-VLM-Bridge: State Space Models as Vision-Language Bridge Layers