https://github.com/linkedin/LiFT

The LinkedIn Fairness Toolkit (LiFT) is a Scala/Spark library that enables the measurement of fairness in large scale machine learning workflows.
https://github.com/linkedin/LiFT

fairness fairness-ai fairness-ml linkedin machine-learning scala spark

Last synced: 3 months ago
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The LinkedIn Fairness Toolkit (LiFT) is a Scala/Spark library that enables the measurement of fairness in large scale machine learning workflows.

• Host: GitHub
• URL: https://github.com/linkedin/LiFT
• Owner: linkedin
• License: bsd-2-clause
• Created: 2020-07-01T22:17:55.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2023-05-13T08:22:26.000Z (about 1 year ago)
• Last Synced: 2024-04-09T18:23:45.028Z (3 months ago)
• Topics: fairness, fairness-ai, fairness-ml, linkedin, machine-learning, scala, spark
• Language: Scala
• Homepage:
• Size: 24.5 MB
• Stars: 166
• Watchers: 15
• Forks: 21
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE

Lists

• awesome-seml - LiFT - Linkedin fairness toolkit. (Tooling)
• awesome-machine-learning-interpretability - LiFT - scale machine learning workflows. The measurement module includes measuring biases in training data, evaluating fairness metrics for ML models, and detecting statistically significant differences in their performance across different subgroups.” | (Technical Resources / Open Source/Access Responsible AI Software Packages)