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
Fast, accurate OCR with correctness assessment.
Reference mapping for single-cell genomics
🏃 The go-to single-cell Foundation Model
RootPainter: Deep Learning Segmentation of Biological Images with Corrective Annotation
TranslatedGo library: convert numbers to Russian words with correct grammar.
Header-only C++11 library using OpenCV for high-throughput image-based plant phenotyping