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1. Transformer-Explainability Transformer-Explainability Public

   Forked from hila-chefer/Transformer-Explainability

   [CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

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2. pytorch-timm-image-models-Documentation pytorch-timm-image-models-Documentation Public

   Forked from huggingface/pytorch-image-models

   In this repo there si a directory named doc which contains all the documentation

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3. keras-unet-collection keras-unet-collection Public

   Forked from yingkaisha/keras-unet-collection

   The Tensorflow, Keras implementation of U-net, V-net, U-net++, UNET 3+, Attention U-net, R2U-net, ResUnet-a, U^2-Net, TransUNET, and Swin-UNET with optional ImageNet-trained backbones.

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4. covid-detection-Swin-Transormers covid-detection-Swin-Transormers Public

   Forked from MahtabRanjbar/covid-detection-Swin-Transormers

   This project aims to detect COVID-19 cases from chest X-ray images using the Swin Transformer model.

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5. pytorch-grad-cam pytorch-grad-cam Public

   Forked from jacobgil/pytorch-grad-cam

   Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

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6. SwinUnetArchitecturePytorch SwinUnetArchitecturePytorch Public

   Forked from ashish-s-bisht/SwinUnetArchitecturePytorch

   The Swin-UNet is a version of the widely used U-Net architecture that combines the windowed attention mechanism of Swin transfomer with the U-Net framework.

   Jupyter Notebook 1