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Awesome GitHub RepositoriesLeViT Architectures
Efficient vision transformer architectures utilizing convolutional embedding and staged downsampling.
Distinct from Vision Transformers: Distinct from general Vision Transformers: specifically refers to the LeViT architecture variant.
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Awesome LeViT Architectures GitHub Repositories
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- lucidrains/vit-pytorch
lucidrains/vit-pytorch
25,363Auf GitHub ansehenThis library provides a comprehensive collection of modular building blocks and research-backed architectures for implementing vision transformers within the PyTorch framework. It serves as a centralized repository for constructing, training, and analyzing attention-based models, offering a wide array of specialized variants designed for image classification and visual representation learning. The project distinguishes itself through a focus on architectural efficiency and flexibility, supporting diverse input formats including non-square images and volumetric data like video. It incorporates
Uses convolutional embedding and staged downsampling to provide an efficient architecture for image classification tasks.
Python
