VoteEnsemble: Ensemble methods for machine/deep learning and stochastic programming with guaranteed generalization.

Structured data extraction with LLM majority vote

Machine Learning Attack on Majority Based Arbiter Physical Unclonable Functions (PUFs)

Data Science Tools, Libraries, Classes and Functions

Discord bot to create polls using majority judgment.

📊 A simple simulation tool that can predict which side the majority of a crowd will be on according to certain criteria.

Zero-shot LLM text classification with calibrated confidence via k independent calls and hard majority voting. No training, no logits required.

HYPO_RFS is an algorithm for performing exhaustive grid-search approach for tuning the hyper-parameters of Ranking Feature Selection (RFS) approaches.

FINDER: Fish Identification using Deep Ensemble Recognition

a Python and Jupyter Notebook implementation of NumPy exercises, Condorcet-style majority-vote analysis, and Naive Bayes spam-email classification. This project was developed as Computer Assignment Zero for the Engineering Probability and Statistics course at the University of Tehran.