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
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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.
Machine Learning in R
HyperLogLog with lots of sugar (Sparse, LogLog-Beta bias correction and TailCut space reduction) brought to you by Axiom
A curated list of resources on handling Rolling Shutter effects and Radial Distortions
A curated list of AI-assisted reverse engineering: decompilation, recompilation and native ports, with how each project verifies correctness
Noise Correction Algorithm for sCMOS cameras