Simple, compact, and hackable post-hoc deep OOD detection for already trained tensorflow or pytorch image classifiers.

Critical difference diagrams with Python and Tikz

This repository is created for storing the components of Statistical Tests of One Pop, Two Pops and Three or more pops using Python.

Plot critical difference diagrams in Julia

code for "Erasure of Unaligned Attributes from Neural Representations"

code for "Spectral Removal of Guarded Attribute Information"

about statistical techniques for Data Science

Perform a STEP by STEP multiple mean comparison analysis on R

Parallel evolutionary algorithm that represents images with polygons using edge detection and denoising. Configuration is carried out through normality tests and pairwise comparisons.

A set of statistical methods conducted on a strict set of algorithm's performance readings, utilizing 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.

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.

Projekt studencki

Gain hands-on experience with ANOVA analysis, understanding its assumptions, and applying it to real-world datasets to understand differences among group means.

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.

My assignments written in R for Data Science class

To evaluate different implementations of an in-app currency feature with ABC Analysis