A visual complexity dataset across seven different categories, including Scenes, Advertisements, Visualization and infographics, Objects, Interior design, Art, and Suprematism for computer vision application.
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Updated
Sep 27, 2020 - Python
A visual complexity dataset across seven different categories, including Scenes, Advertisements, Visualization and infographics, Objects, Interior design, Art, and Suprematism for computer vision application.
An interactive web application for comparing entities using the pairwise comparison method
An interactive Shiny App for UpSet plots, Venn diagrams and Pairwise heatmaps
🏫 🇧🇩 Fuzzy-AHP-based recommendation system for secondary schools in Bangladesh
Fast, large scale library for computing rankings and features based on various pairwise and graph algorithms
Sampling algorithm for best-worst scaling sets.
Framework for using LLMs to grade texts by using pairwise comparisons.
A Jupyter notebook for a project centered around 'Group Recommendation Systems (GRS)' utilizing the 'GcPp' clustering approach.
Adversarial Preference Learning with Pairwise Comparisons for Group recommendation System
Predicting missing pairwise preferences from similarity features in group decision making and group recommendation system
An Evaluation Dataset for Crowdsourced Pairwise Comparisons
A personality-aware group recommendation system based on pairwise preferences
Code for "Learning the Relation Between Mobile Encounters and Web Traffic Patterns: A Data-driven Study" MSWiM 2018 (ACM: https://dl.acm.org/citation.cfm?id=3242137, Tech Report: https://arxiv.org/abs/1808.03842)
Derives a ranking from pairwise comparisons
An easy to use Amazon Recommendation System using Cosine Similarity.
Unsupervised anomaly detection in vibration signal using PyCaret vs BiLSTM
Analysis of Swiss-system tournaments
[CRBHits](https://github.com/kullrich/CRBHits) is a reimplementation of the Conditional Reciprocal Best Hit algorithm [crb-blast](https://github.com/cboursnell/crb-blast) in R.
Large Language Model Feedback Analysis and Optimization (LLMFAO)
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