vit-pytorch
Pilot it+41 this week★ 25,493 · 3,491 forks
PyTorch Vision Transformer implementation
Worth a timeboxed spike before you bet on it.
Who it's for
small teams with image classification needs
What it replaces
manual CNN architecture design
The catch
requires significant GPU resources and PyTorch expertise
Your first hour
clone the repo and run the example script
The numbers
Stars25,493
Forks3,491
Stars added (7d)+41
Open issues142
LanguagePython
LicenceMIT
Last pushUpdated 2 days ago
Project age6 years old
Maintainers describe it as: “Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch”
artificial-intelligenceattention-mechanismcomputer-visionimage-classificationtransformers
vit-pytorch, in short
- Should a small team use vit-pytorch?
- Pilot it. Worth a timeboxed spike before you bet on it. small teams with image classification needs
- What does vit-pytorch actually do?
- PyTorch Vision Transformer implementation
- What does vit-pytorch replace?
- manual CNN architecture design
- What is the downside of vit-pytorch?
- requires significant GPU resources and PyTorch expertise
- Can vit-pytorch be used in a commercial product?
- Its licence is MIT, which is permissive and generally fine for commercial use. Confirm against the LICENSE file in the repository.
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