Simple, compact, and hackable post-hoc deep OOD detection for already trained tensorflow or pytorch image classifiers.
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Dec 12, 2024 - Python
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post-hoc-analysis
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Critical difference diagrams with Python and Tikz
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Oct 1, 2024 - Python
code for "Erasure of Unaligned Attributes from Neural Representations"
nlp privacy unsupervised-learning nlp-machine-learning fairness privacy-protection protected-attributes debiasing fairness-ml post-hoc-analysis debiasing-neural-networks
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Jul 4, 2023 - Python
A set of statistical methods conducted on a strict set of algorithm's performance readings, utilizing Python
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Jan 19, 2022 - Python
This project analyzes a heart disease dataset to explore the relationship between cholesterol, heart rate, and chest pain type. It includes normality tests, outlier detection, correlation analysis, MANOVA, post-hoc tests, and VIF analysis, with visualizations using histograms, heatmaps, and boxplots.
python data machine-learning data-visualization data-cleaning manova correlation-analysis tukey-hsd vif post-hoc-analysis
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Nov 23, 2024 - Python
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