#attention

Discover the Vision Transformer (ViT) implemented in Pytorch, providing a powerful approach to vision classification with a single transformer encoder. This project features diverse models like Simple ViT, NaViT, and Deep ViT, optimized for efficient training and higher accuracy across various datasets. Leverage pretrained models and explore a range of transformer architectures, such as Token-to-Token ViT, CaiT, and Cross ViT, with advanced features like Distillation and Efficient Attention for robust machine learning applications.