https://github.com/AgaMiko/GEBI
GEBI: Global Explanations for Bias Identification. Open source code for discovering bias in data with skin lesion dataset
https://github.com/AgaMiko/GEBI
attention-maps deep-learning explainability explainable-ai global-explanation
Last synced: 5 months ago
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GEBI: Global Explanations for Bias Identification. Open source code for discovering bias in data with skin lesion dataset
- Host: GitHub
- URL: https://github.com/AgaMiko/GEBI
- Owner: AgaMiko
- Created: 2020-05-05T15:14:59.000Z (almost 5 years ago)
- Default Branch: master
- Last Pushed: 2022-02-20T11:30:23.000Z (about 3 years ago)
- Last Synced: 2024-11-08T03:03:25.097Z (5 months ago)
- Topics: attention-maps, deep-learning, explainability, explainable-ai, global-explanation
- Language: Jupyter Notebook
- Homepage:
- Size: 392 MB
- Stars: 18
- Watchers: 3
- Forks: 2
- Open Issues: 1
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- awesome-production-machine-learning - GEBI - Global Explanations for Bias Identification - An attention-based summarized post-hoc explanations for detection and identification of bias in data. We propose a global explanation and introduce a step-by-step framework on how to detect and test bias. Python package for image data. (Explaining Black Box Models and Datasets)