# TianhongDai/integrated-gradient-pytorch

<https://repo.masters-masters.com/en/repos/TianhongDai/integrated-gradient-pytorch>

[Home](https://repo.masters-masters.com/en) › [TianhongDai](https://repo.masters-masters.com/en/owners/TianhongDai) › [integrated-gradient-pytorch](https://repo.masters-masters.com/en/repos/TianhongDai/integrated-gradient-pytorch)

TianhongDai/integrated-gradient-pytorch has 190 stars on GitHub. Its RepoMasters card: Prototype tier. This is the pytorch implementation of the paper -…

| Field | Value |
| --- | --- |
| Owner | [TianhongDai](https://repo.masters-masters.com/en/owners/TianhongDai) |
| Stars | 190 |
| Forks | 27 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2018 |
| Topics | visualization, pytorch, integrated-gradient |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [TianhongDai/integrated-gradient-pytorch](https://github.com/TianhongDai/integrated-gradient-pytorch) |

## Repository

This is the pytorch implementation of the paper - Axiomatic Attribution for Deep Networks.

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.