linda7776

linda7776's Stars

• kapilnchauhan77/CNN-Attention

  An Image Classifier with attention layers visualized

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• jeonggunlee/Vision-Transformer-Study

  Vision Transformer Study

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• jeonsworld/ViT-pytorch

  Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)

  Language:Jupyter Notebook1.9k363

• IhabTALEB/Image-classification-with-Vision-Transformer

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• CodingChaozhang/Deep-Learning

  深度学习的实战项目

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• Muhammad-MujtabaSaeed/Caltech-Birds-Classification

  This repo includes code (written in Python) for Caltech-UCSD Birds-200-2011 dataset classification. I have used PyTorch Library for CNN's. You can download the dataset here http://www.vision.caltech.edu/visipedia-data/CUB-200-2011/CUB_200_2011.tgz

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• google-research/vision_transformer

  Language:Jupyter Notebook10.1k1.3k

• purbayankar/Hyperspectral-Vision-Transformer

  A PyTorch implementation of CNN+Vision Transformer for hyperspectral image classification

  Language:Jupyter Notebook6312

• Ankur3107/nlp_notebooks

  Tensorflow, Pytorch, Huggingface Transformer, Fastai, etc. tutorial Colab Notebooks.

  Language:Jupyter Notebook7116

• lucidrains/vit-pytorch

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

  Language:Python19.6k3k

• tkhs3/BCNN_keras

  Bilinear CNN implementation using keras

  Language:Jupyter Notebook355

• K-Schubert/TransferLearning_ResNet_PETS

  Transfer Learning with some pre-trained FastAI resnet models on the PETS image dataset. This is a fine grained classification task with 37 categories (cat and dog breeds). ResNet 34 achieves 94.3% accuracy and ResNet 50 achieves 95% accuracy.

  Language:Jupyter Notebook2

• arushi-agrawal/Fine-Grained-Image-Classification

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