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  1. Home
  2. /Repositories
  3. /fairlearn/fairlearn
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repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · yesterday

fairlearn/fairlearn

A Python package to assess and improve fairness of machine learning models.

Lineage graph

Paper → model → repo connections mined from source citations (Tier-1 exact match).

Why these links exist

Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.

  • PossiblePossibly related (embedding) · 47%Dataset of permissively licensed code released →
  • PossiblePossibly related (embedding) · 49%Toward Localizing and Repairing Bias in Transformer Attention Heads →
  • PossiblePossibly related (embedding) · 49%When Unlearning Is Free: Leveraging Low Influence Points to Reduce Computational Costs - Apple Machine Learning Research →

Covers

newsDataset of permissively licensed code released

Implements (incoming)

paperToward Localizing and Repairing Bias in Transformer Attention Heads

Covers (incoming)

newsWhen Unlearning Is Free: Leveraging Low Influence Points to Reduce Computational Costs - Apple Machine Learning Research

Related across the graph

paperToward Localizing and Repairing Bias in Transformer Attention HeadsnewsWhen Unlearning Is Free: Leveraging Low Influence Points to Reduce Computational Costs - Apple Machine Learning ResearchnewsDataset of permissively licensed code released
Knowledge path·PToward Localizing and Repairing Bias in Transformer Attention Heads→NWhen Unlearning Is Free: Leveraging Low Influence Points to Reduce Computational Costs - Apple Machine Learning Research→NDataset of permissively licensed code released→Rfairlearn/fairlearn

Topics

aiai-systemsartificial-intelligencefairnessfairness-aifairness-assessmentfairness-mlgroup-fairnessharmsmachine-learning

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Graph trust82Primary
Graph score2271