OpenMMLab Detection Toolbox and Benchmark

pix2tex: Using a ViT to convert images of equations into LaTeX code.

This repository contains demos I made with the Transformers library by HuggingFace.

[NeurIPS 2024 Best Paper Award][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly yet state-of-the-art* codebase for autoregressive image generation!

Ingest, parse, and optimize any data format ➡️ from documents to multimedia ➡️ for enhanced compatibility with GenAI frameworks

SwinIR: Image Restoration Using Swin Transformer (official repository)

Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

OpenMMLab Pre-training Toolbox and Benchmark

Efficient vision foundation models for high-resolution generation and perception.

InternLM-XComposer2.5-OmniLive: A Comprehensive Multimodal System for Long-term Streaming Video and Audio Interactions

EVA Series: Visual Representation Fantasies from BAAI

[ECCV2024] Video Foundation Models & Data for Multimodal Understanding

[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

An all-in-one toolkit for computer vision

This is a collection of our NAS and Vision Transformer work.

[CVPR 2025] Official PyTorch Implementation of MambaVision: A Hybrid Mamba-Transformer Vision Backbone

MLX-VLM is a package for inference and fine-tuning of Vision Language Models (VLMs) on your Mac using MLX.

Get clean data from tricky documents, powered by vision-language models ⚡

Awesome List of Attention Modules and Plug&Play Modules in Computer Vision

ICCV2021, Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet