vision-transformer

Transformers 3rd Edition

[Pattern Recognition 25] CLIP Surgery for Better Explainability with Enhancement in Open-Vocabulary Tasks

Optimized local inference for LLMs with HuggingFace-like APIs for quantization, vision/language models, multimodal agents, speech, vector DB, and RAG.

[WACV 2024 Survey Paper] Multimodal Large Language Models for Autonomous Driving

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Awesome Transformers (self-attention) in Computer Vision

A Simplified PyTorch Implementation of Vision Transformer (ViT)

Pytorch implementation of the models RT-1-X and RT-2-X from the paper: "Open X-Embodiment: Robotic Learning Datasets and RT-X Models"

[MedIA Journal] An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

This repository contains all the work that I regularly did and studied from Medium blogs, several research papers, and other Repos (related/unrelated to the research papers).

Florence-2 is a novel vision foundation model with a unified, prompt-based representation for a variety of computer vision and vision-language tasks.

DocEnTr: An end-to-end document image enhancement transformer - ICPR 2022

Official Implementation of ResViT: Residual Vision Transformers for Multi-modal Medical Image Synthesis

LLaVA server (llama.cpp).

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

State-of-the-art CLIP/SigLIP embedding models finetuned for the fashion domain. +57% increase in evaluation metrics vs FashionCLIP 2.0.

[CVPR'24 Spotlight] The official implementation of "State Space Models for Event Cameras"

Fine-tuning Vision Transformers on various classification datasets

Transformer Architectures for Generative AI

Official implementation of AAAI 2023 paper "Parameter-efficient Model Adaptation for Vision Transformers"