# hans66hsu/nn\_interpretability

<https://repo.masters-masters.com/en/repos/hans66hsu/nn_interpretability>

[Home](https://repo.masters-masters.com/en) › [hans66hsu](https://repo.masters-masters.com/en/owners/hans66hsu) › [nn\_interpretability](https://repo.masters-masters.com/en/repos/hans66hsu/nn_interpretability)

hans66hsu/nn\_interpretability has 119 stars on GitHub. Its RepoMasters card: Prototype tier. Pytorch implementation of various neural network interpretability…

| Field | Value |
| --- | --- |
| Owner | [hans66hsu](https://repo.masters-masters.com/en/owners/hans66hsu) |
| Stars | 119 |
| Forks | 18 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2020 |
| Topics | pytorch, lrp, cnn-visualization, interpretable-deep-learning, interpretable, saliency-map, deepdream, guided-backpropagation, integrated-gradients, smoothgrad |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [hans66hsu/nn\_interpretability](https://github.com/hans66hsu/nn_interpretability) |

## Repository

Pytorch implementation of various neural network interpretability methods

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.