Simple, compact, and hackable post-hoc deep OOD detection for already trained tensorflow or pytorch image classifiers.
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Sep 18, 2025 - Python
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post-hoc-analysis
Here are 6 public repositories matching this topic...
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
This projects aim was to identify which crew members were most likely to survive the Titanic wreck based on features such as Work department, Gender, Age, etc. We use Machine Learning concepts such as Logistic Regression and feature selection as well as data preprocessing.
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Feb 7, 2025 - Python
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