A Python library for dynamic classifier and ensemble selection

CHAOSS Working Group focused on Diversity, Equity, and Inclusion metrics

Diversity / (dis)proportionality measures, election quotas, and apportionment methods in pure Python.

This project leverages data analytics to gain insights into gender diversity and inclusion within the company. The Power BI dashboard and KPIs allow HR and management to track important metrics, identify issues, and make informed decisions to improve the representation and experience of all genders in the workforce.

Small collection of Diversity Measures for Ensemble Learning Predictions

[AAAI-25] HSEvo: Elevating Automatic Heuristic Design with Diversity-Driven Harmony Search and Genetic Algorithm Using LLMs

The objective of this work is to provide tools to be used for the classification of ordinal categorical distributions. To demonstrate how to do it, we propose an Homogeneity (HI) and Location (LI) Index to measure the concentration and central value of an ordinal categorical distribution.

Implementation of Spotify's Generalist-Specialist score on the MovieLens dataset.

Diversity in technology - hiring solutions & measures

Calculating functional molecular diversity of marine dissolved organic matter in MATLAB

The implementation of the Diversity Pool algorithm, proposed in the paper "Diversity-Based Pool of Models for Dealing with Recurring Concepts" and presented at IJCNN '18

An extensible tool to automate test case diversity calculations

This work was aimed at finding methods to identify the most distant proteins and most diverse subsets of proteins from large protein databases in a scalable and efficient way using a dataset of protein embeddings from SwissProt, data mining techniques and metaheuristics.

Global human gut metagenome diversity study: code and notes

A command-line parser for VCF files designed for population genetics analyses.

Experiment on the pruning of pool of classifiers

afribat: African Bat Database in R

Primer scripts to produce meaningful visualisations from pre-processed metabarcoding data