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Tags: Monitoring and observability
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1–24 of 27 · 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

Seelog is a native Go logging library that provides flexible asynchronous dispatching, filtering, and formatting.

Log4r is a comprehensive and flexible logging library for use in Ruby programs. It features a heirarchical logging system of any number of levels, custom level names, multiple output destinations per log event, custom formatting, and more.

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This project is no longer maintained.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.