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#

vision-transformer-models

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The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

  • UpdatedDec 16, 2025
  • Python

Florence-2 is a novel vision foundation model with a unified, prompt-based representation for a variety of computer vision and vision-language tasks.

  • UpdatedJul 3, 2024
  • Jupyter Notebook

This project focuses on evaluating Convolutional Neural Networks (CNN) and Vision Transformers (ViT) for image classification tasks, specifically distinguishing between Asian elephants and African elephants.

  • UpdatedApr 8, 2024
  • Jupyter Notebook

Code for the base version of the the model vision transformer in pytorch.

  • UpdatedMar 17, 2023
  • Python

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