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Transformer-Interpretability-Beyond-Attention-Visualization
Transformer-Interpretability-Beyond-Attention-Visualization PublicForked 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
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ameer-s-work
ameer-s-work PublicThe 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…
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pytorch-image-models
pytorch-image-models PublicForked 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
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vit-pytorch
vit-pytorch PublicForked 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
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Google_Jax_Package_vision_transformer
Google_Jax_Package_vision_transformer PublicForked 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 …
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Awesome-Optimal-Transport-in-Deep-Learning
Awesome-Optimal-Transport-in-Deep-Learning PublicForked from changwxx/Awesome-Optimal-Transport-in-Deep-Learning
a collection of AWESOME things about Optimal Transport in Deep Learning
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