V
vit-pytorch
lucidrains/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
★25.5kstars
Python
MIT
Updated: Today
📋 Project at a Glance
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What's this?A , built with Python open-source project in the Models category, core strengths: artificial-intelligence/attention-mechanism
Who made it?Maintained by lucidrains team, 25.5K⭐ on GitHub, #52 out of 3201 in Models
Why does it exist?With the growing demand for artificial-intelligence and attention-mechanism in Models, lucidrains created vit-pytorch as a streamlined solution.
What can it do?Key use cases: computer-vision, image-classification, transformers
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/lucidrains/vit-pytorch
🔗 github.com/lucidrains/vit-pytorch
Topics
artificial-intelligenceattention-mechanismcomputer-visionimage-classificationtransformers