Popular GitHub Repositories for Leader Election

Análise de sentimentos relacionados aos candidatos a Elei??o para a presidência de 2018

Official resource of the paper "Knowledge Enhanced Masked Language Model for Stance Detection", NAACL 2021

Author implementation of the LEADER algorithm: integrating learning and planning to have safer agents

Intention Mining in Social Networking. It Mines Emotions and polarity for the given keyword . For the keyword it searchers the twitter for the comments and analyzes the results for various events such as Election results, Sports prediction Movie ratings, Breaking news events such as demonetisation and many more. Bayes , Maximum Entropy and Hidden Markov models are used to analyse the results. It requires R shiny package installed.

Artificial Intelligence for mass political profiling and covert election interference.

The Code of the paper: "ABCS Flocking: A Leader-Follower Collision Free UAV Flocking System with Multi-Agent Reinforcement Learning"

Exo election app that uses LLM agents to write code directly to your codebase

In this mini-project i have chosen to do sentiment analysis of social media websites such as twitter and reddit to gain insights into the people’s opinion towards prime ministerial candidates for the Lok Sabha election 2019. Social media provides a platform for people’s opinion of a person or event or topic to be heard from anywhere at any time and is the easiest and fastest way for them to do it. So, analysing these sentiments will be of immense use in knowing the trending topics and the mood of the people towards those topics among other things. The mini-project also aims at implementing and comparing contemporary machine learning text classification algorithms to predict the sentiment of a piece of text.

(ICML 2024) Pursuing Overall Welfare in Federated Learning through Sequential Decision Making (https://arxiv.org/abs/2402.14650)

IROS 2021 - Hiding Leader’s Identity in Leader-Follower Navigation through MARL

Machine Learning Algorithms used to predict which candidate a county voted for based on 9 distinct attributes such as population size and density

Run a model predicting the USA presidential party winner 2024, Allora worker for topic 11 an initial inferences of token R : Republican and D : Democrat

Distributed document search using TF-IDF algorithm.

Senior Capstone Project. Machine learning and data analysis on Tweets to determine presidential election outcomes.

A Model Context Protocol (MCP) server that provides access to Federal Election Commission (FEC) campaign finance data through the OpenFEC API.

Electing leader in a synchronous network using Floodmax

Utilized time series, statistic, ML and NLP models to practice. Topics include stock forecasting (algorithm trading), US 2024 presidential election and customer sentimental review.

This is a comprehensive application that provide AI-generated responses and analysis related to the Sri Lankan Elections 2024. Using advanced technologies like LangChain, FAISS, and LLM models, this project offers an interactive interface for users to query election manifestos, compare candidates, and get predictions on election outcomes.