Popular GitHub Repositories for Voting

Deep Hough Voting for 3D Object Detection in Point Clouds

A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.

[ECCV-20] Official PyTorch implementation of HoughNet, a voting-based object detector.

Agentic Framework for Java, written in 100% Java using Gemini, OpenAI, LocalAI, Anthropic. Build Autonomous Agents in Java with Multi AI voting mechanism. Convert Prompt to HTTP REST Calls, Java Method calls, Shell script calls or swagger rest api calls. Selenium AI Integration, Image processing with AI, Actions on Images with AI

To design a predictive model using xgboost and voting ensembling techniques and extract insights from the data using pandas, seaborn and matplotlib

Classifying Audio to Emotion

Contains code for a voting classifier that is part of an ensemble learning model for tweet classification (which includes an LSTM, a bayesian model and a proximity model) and a system for weighted voting

The Multimodal Sarcasm Detection System detects sarcasm in multimedia content using image-caption generation and NLP. It achieved 1st place in UITC2024 by classifying sarcasm into four categories: image, text, multi sarcasm, and not sarcasm.

Supervised Machine Learning Analysis Using Classification Models

Fake News Detection System for detecting whether news is fake or not. The model is trained using "Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection. Link for dataset: https://arxiv.org/abs/1705.00648.

This project showcases a Network Intrusion Detection System (NIDS) designed to bolster cybersecurity defenses against evolving threats

Automatic design of voting rules using neural networks

Build a predictive machine learning model that could categorize users as either, revenue generating, and non-revenue generating based on their behavior while navigating a website. In order to predict the purchasing intention of the visitor, aggregated page view data kept track during the visit along with some session is used and user information as input to machine learning algorithms. Oversampling/Undersampling and feature selection techniques are applied to improve the success rates and scalability of the models.

A credit card fraud detection kernel

An ML powered android app for youtube video verification along with the facility of voting and review system to tackle the havoc of spreading rumours.

? TruthValidatorAgent: Decentralized Information Verification System powered by AI & Blockchain. Combats misinformation using AI Agents (RAG), smart contracts, on-chain voting, and Filecoin for secure evidence storage. Join us in building a more trustworthy information ecosystem! ??

基于区块链的远程投票系统：一个安全、可扩展的远程投票解决方案，允许用户使用生物识别和选民ID验证以数字方式投票。该项目利用区块链技术确保投票的不可更改性，并利用人工智能技术进行欺诈检测，旨在通过提高透明度、速度和可访问性来彻底改变投票流程。

Predicts which telecom customers are likely to churn with 95% accuracy using real-world data features from usage, billing, and support data. Implements Sturges-based binning, one-hot encoding, stratified 80/20 train-test split, and a two-level ensemble pipeline with soft voting. Achieves 94.60% accuracy, 0.8968 AUC, 0.8675 precision, 0.7423 recall.

Reverse Turing Test Game: Outsmart AI in a game of deception! Play as a human trying to blend in or as AI hunting the human. Engage in dynamic AI-powered interactions, strategic questioning, and voting. Compatible with Groq, OpenAI, and more. Can you fool the AI or will they expose you?

SVM, Logistic Regression, K-Nearest Neighbors Classifier, GaussianNB, Random Forest, XGBoost, DecisionTree Classifier, Ensembled Classifier, ExtraTrees Classifier, Voting Classifier