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Tags: Monitoring and observability
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1–12 of 12 · Most stars

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

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

Automatically starts machines based on incoming traffic, using smart local IP spoofing and Wake-on-LAN.

Elixir library to log custom application metrics, in a well-structured, human and machine readable format, for use by downstream log processing systems (Librato, Reimann, etc...)

This project is no longer maintained. Influx-capacitor collects metrics from windows machines using Performance Counters. Data is sent to influxDB to be viewable by grafana.