# hila-chefer/Transformer-Explainability

<https://repo.masters-masters.com/en/repos/hila-chefer/Transformer-Explainability>

[Home](https://repo.masters-masters.com/en) › [hila-chefer](https://repo.masters-masters.com/en/owners/hila-chefer) › [Transformer-Explainability](https://repo.masters-masters.com/en/repos/hila-chefer/Transformer-Explainability)

hila-chefer/Transformer-Explainability has 2,021 stars on GitHub. Its RepoMasters card: RC tier. \[CVPR 2021\] Official PyTorch implementation for Transformer…

| Field | Value |
| --- | --- |
| Owner | [hila-chefer](https://repo.masters-masters.com/en/owners/hila-chefer) |
| Stars | 2,021 |
| Forks | 260 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2020 |
| Topics | deep-learning, vision-transformer, bert-model, bert, explainability, transformer-interpretability, perturbation, attention-visualization, visualize-classifications, vit |
| Tier | [RC (2,000 to 4,999 ★)](https://repo.masters-masters.com/en/ranks/blockbuster) |
| View on GitHub | [hila-chefer/Transformer-Explainability](https://github.com/hila-chefer/Transformer-Explainability) |

## Repository

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

The tier for repos with 2,000 to 4,999 ★. Published odds per card pulled: 3%. Rarity: Epic.

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