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: 3 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 (about 4 years ago)
• Default Branch: master
• Last Pushed: 2022-02-20T11:30:23.000Z (over 2 years ago)
• Last Synced: 2024-01-07T01:43:56.974Z (6 months ago)
• Topics: attention-maps, deep-learning, explainability, explainable-ai, global-explanation
• Language: Jupyter Notebook
• Homepage:
• Size: 392 MB
• Stars: 17
• Watchers: 3
• Forks: 1
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

Lists

• 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)
• 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)
• Awesome-AIML-Data-Ops - 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)