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A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

  • ai
  • fairness-ai
  • fairness
  • fairness-testing

Transform geospatial relations into graphs for Graph Neural Networks and spatial network analysis

  • network-analysis
  • spatial-analysis
  • geographical-information-system
  • graph-neural-networks

Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave

Rich-powered CLI that breaks each HTTP request into DNS, connect, TLS, wait, and transfer phases with waterfall timelines, compact summaries, or metrics-only output.

Source-available semantic and context layer, rule engine, and semantic sidecar for agentic AI and governed analytics. Compiles declarative YAML models into optimized SQL, KPIs, and semantic context across 8 SQL dialects.

🧙 meiga is a Python µframework that provides a simple, fully typed, monad-based result type ➡️ Result[Value, Error].

  • monads
  • result-type
  • typing
  • python