vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Build and implement advanced image classification models using a simple framework in Python.
From the README
$ pip install vit-pytorch
Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.
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Free · no card · unsubscribe anytimeImplementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
vit-pytorch has 25.4k stars on GitHub. It has been forked 3.5k times. vit-pytorch is written mainly in Python. It has been in active development since 2020. vit-pytorch is available under the MIT license. Its main topics are artificial-intelligence, attention-mechanism, computer-vision, image-classification.
What is vit-pytorch?
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Is vit-pytorch open source?
vit-pytorch is an open-source project. It is released under the MIT license.
Is vit-pytorch free?
Yes. vit-pytorch is free and open source — you can use, modify and self-host it.
What license does vit-pytorch use?
vit-pytorch is available under the MIT license.
What language is vit-pytorch written in?
vit-pytorch is written mainly in Python.
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