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GitHub topics: attention-matrix

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.

Language: Jupyter Notebook - Size: 3.76 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 1,886 - Forks: 250

LeviBorodenko/garnn

TensorFlow implementation of Graphical Attention Recurrent Neural Networks based on work by Cirstea et al., 2019.

Language: Python - Size: 99.6 KB - Last synced at: 25 days ago - Pushed at: over 5 years ago - Stars: 27 - Forks: 1

Related Keywords
attention-matrix 2 attention-visualization 1 bert 1 bert-model 1 cvpr2021 1 deep-learning 1 explainability 1 perturbation 1 transformer-interpretability 1 vision-transformer 1 visualize-classifications 1 vit 1 attention 1 attention-mechanism 1 batch 1 diffusion-graph-convolution 1 graph-convolutional-networks 1 graph-neural-networks 1 graph-signals 1 paper-implementations 1 rnn 1 rnn-tensorflow 1 shape 1 temporal-data 1 tensorflow 1