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
Here are 19 public repositories matching this topic...
Critical difference diagrams with Python and Tikz
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Oct 1, 2024 - Python
This repository is created for storing the components of Statistical Tests of One Pop, Two Pops and Three or more pops using Python.
statistical-analysis t-test statistical-tests bootstrapping-statistics manova f-test z-test post-hoc-analysis hypothesis-tests anova-test normality-test paired-tests homogenity-test
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May 2, 2022 - Jupyter Notebook
Plot critical difference diagrams in Julia
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Dec 12, 2022 - Julia
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
code for "Spectral Removal of Guarded Attribute Information"
nlp nlp-machine-learning fairness privacy-protection protected-attributes debiasing fairness-ml post-hoc-analysis debiasing-neural-networks
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Apr 29, 2023 - Jupyter Notebook
about statistical techniques for Data Science
probability mathematics t-test bootstrapping-statistics parametric hypothesis-testing gaussian-distribution central-limit-theorem chi-square-test confidence-interval kolmogorov-smirnov-tests nonparametric-statistics bayes-theorem qqplots post-hoc-analysis inferencial-statistics proportion-test anova-analysis
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Nov 5, 2022 - Jupyter Notebook
Perform a STEP by STEP multiple mean comparison analysis on R
statistics graphics statistical-analysis anova shapiro-wilk wilcoxon-test post-hoc-analysis anova-test anova-analysis levene multiple-mean-comparison
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Sep 28, 2022 - R
Parallel evolutionary algorithm that represents images with polygons using edge detection and denoising. Configuration is carried out through normality tests and pairwise comparisons.
python docker redis flask computer-vision multiprocessing numpy gunicorn pillow celery evolutionary-algorithms matplotlib cv2 anova flower deap post-hoc-analysis normality-test
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Oct 28, 2023 - Jupyter Notebook
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
ASIS is a web application developed for the compilation of impact report PDF documents for the tutorial programme (A-STEP) at the University of the Free State.
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Jan 10, 2024 - Jupyter Notebook
Gain hands-on experience with ANOVA analysis, understanding its assumptions, and applying it to real-world datasets to understand differences among group means.
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Oct 20, 2023 - Jupyter Notebook
An R project that investigates and visualizes the effect of sex and education on an individual's income level through the use of a full-factorial two-way ANOVA test and relevant post hoc significance tests conducted over a 2014 Pew Research Center dataset consisting of higher education attainment, gender, and income data.
education ggplot2 r gender pew hypothesis-testing anova r-programming income sex post-hoc r-studio analysis-of-variance pew-research post-hoc-analysis two-way-anova hypothesis-tests anova-test full-factorial factorial-anova
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Jan 8, 2020 - R
Projekt studencki
r statistics jupyter-notebook anova box-plot kruskal-wallis shapiro-wilk tukey-hsd homoskedastic post-hoc-analysis eksperiment analiza-wariancji
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Jan 6, 2023 - Jupyter Notebook
Analyze "winners" and "losers" of the Premier League's Project Restart through chi-square tests and post-hoc analysis to see which teams overperformed and underperformed.
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Mar 28, 2023 - R
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
My assignments written in R for Data Science class
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Jan 10, 2022
To evaluate different implementations of an in-app currency feature with ABC Analysis
t-test homogeneity post-hoc-analysis anova-test normality-test mann-whitney-u-test kruskal-wallis-h-test
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Aug 7, 2024 - Jupyter Notebook
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Aug 28, 2019 - Jupyter Notebook
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