https://github.com/ankurtaly/Integrated-Gradients
Attributing predictions made by the Inception network using the Integrated Gradients method
https://github.com/ankurtaly/Integrated-Gradients
Last synced: 11 months ago
JSON representation
Attributing predictions made by the Inception network using the Integrated Gradients method
- Host: GitHub
- URL: https://github.com/ankurtaly/Integrated-Gradients
- Owner: ankurtaly
- Created: 2016-11-04T19:07:26.000Z (over 9 years ago)
- Default Branch: master
- Last Pushed: 2022-02-23T20:06:16.000Z (about 4 years ago)
- Last Synced: 2024-05-22T07:52:44.085Z (almost 2 years ago)
- Language: Jupyter Notebook
- Homepage:
- Size: 150 MB
- Stars: 578
- Watchers: 11
- Forks: 99
- Open Issues: 16
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- awesome-production-machine-learning - Integrated-Gradients - Gradients.svg?style=social) - This repository provides code for implementing integrated gradients for networks with image inputs. (Explaining Black Box Models and Datasets)
- awesome-production-machine-learning - Integrated-Gradients - Gradients.svg?style=social) - This repository provides code for implementing integrated gradients for networks with image inputs. (Explainability and Fairness)
- Awesome-explainable-AI - https://github.com/ankurtaly/Integrated-Gradients - Gradients?style=social) (Python Libraries(sort in alphabeta order) / Evaluation methods)
- awesome-machine-learning-interpretability - Integrated-Gradients -  | "a variation on computing the gradient of the prediction output w.r.t. features of the input. It requires no modification to the original network, is simple to implement, and is applicable to a variety of deep models (sparse and dense, text and vision).” | (Technical Resources / Open Source/Access Responsible AI Software Packages)