EynardM

EynardM

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GitHub:@EynardM

EynardM's repositories

gps-tracking

This project is centered around building a scalable GPS tracking system using a microservices architecture. The system is designed to efficiently collect, process, and display real-time location data from multiple sources.

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multi-trip-vehicle-routing-problem

Graduation Project: Multi-Trip Vehicle Routing Problem with Time Windows This repository contains the code and documentation for my final year project, focusing on solving the Multi-Trip Vehicle Routing Problem with Time Windows (MTVRPTW) in the context of a startup use case.

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tree-recognition

This project develops forecasting models for monitoring forest health, focusing on Larch Casebearer damage using Yolov8 models, with a focus on evaluating the environmental impact of the training process

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databattle-2k24

Hackathon : This project compares machine learning models like Fasttext, LASER, Camembert, Multilang_Bert, and Croissant for retrieving similar text solutions using embeddings. It includes database setup, dataset structure, and usage instructions for evaluating results and interacting with models via a web interface.

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eco-score-sentiment-analysis

Project focused on evaluating restaurants from an ecological perspective using sentiment analysis. The goal is to assign an Eco-Score to restaurants or chains, rating them on a scale from 0 (very negative) to 5 (very positive) based on customer reviews and other relevant data.

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optim-pso-de-abc

This project showcases a generalist optimization framework using PSO, DE, and ABC algorithms. It visualizes convergence with KPIs and animations. A dedicated use case demonstrates maximizing a rectangle's area within a polygon, illustrating how to adapt the framework to various custom optimization challenges.

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unsupervised-deidentification

Research project: Evaluate unsupervised text deidentification methods from "Unsupervised Text Deidentification" by Morris et al., using the WikiBio dataset and fine-tuned RoBERTa models. The goal is to compare our results with the paper’s findings.

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