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  1. Transformer-Interpretability-Beyond-Attention-Visualization Transformer-Interpretability-Beyond-Attention-Visualization 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.

    Jupyter Notebook 3

  2. ameer-s-work ameer-s-work Public

    The primary aim of this project is to develop an accurate, explainable deep learn- ing model to classify cells into healthy and metastatic. The project also seeks to enhance the interpretability of…

    Jupyter Notebook

  3. pytorch-image-models pytorch-image-models Public

    Forked from huggingface/pytorch-image-models

    The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

    Python

  4. vit-pytorch vit-pytorch Public

    Forked from lucidrains/vit-pytorch

    Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

    Python

  5. Google_Jax_Package_vision_transformer Google_Jax_Package_vision_transformer Public

    Forked from google-research/vision_transformer

    The huggingface's repository, the vit_pytorch, the chefer's work, and this one can be used to create my personal vit-b-16 model. The source code is in the folder of these 4 repositories, just copy …

    Jupyter Notebook

  6. Awesome-Optimal-Transport-in-Deep-Learning Awesome-Optimal-Transport-in-Deep-Learning Public

    Forked from changwxx/Awesome-Optimal-Transport-in-Deep-Learning

    a collection of AWESOME things about Optimal Transport in Deep Learning