Probing the representations of Vision Transformers.
Explore and analyze how Vision Transformers learn to recognize images with provided tools and resources.
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probing-vits has 341 stars on GitHub. It has been forked 22 times. probing-vits is written mainly in Jupyter Notebook. It has been in active development since 2022. probing-vits is available under the Apache-2.0 license. Its main topics are attention, explaining-vits, image-recognition, keras.
Probing the representations of Vision Transformers.
probing-vits is an open-source project. It is released under the Apache-2.0 license.
Yes. probing-vits is free and open source — you can use, modify and self-host it.
probing-vits is available under the Apache-2.0 license.
probing-vits is written mainly in Jupyter Notebook.
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