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assesement

assess-learners_ml4t

autonomous-robotics

bouncing-ball-tracker-client-server-application

Real-time bouncing ball tracker using WebRTC for communication between a client and a server. The server generates a video stream of a bouncing ball while the client processes this video to track the ball's position. The detected position is then sent back to the server, where it calculates the accuracy of tracking.

chat-room-platform

Real-time chat application supporting user authentication (signup, login, logout), messaging, and message voting, supporting concurrent multi-user interactions. Used React.js for the front end, Express.js, and Node.js for the backend, MongoDB for data storage, Docker and Kubernetes for the infrastructure and deployment.

cs7641-assignment4

Assignment 4 code for CS 7641 Machine Learning class at Georgia Tech.

defeat-learners_ml4t

gls-be

graph-theory-pandemic-spread

Un projet sur la théorie des graphes, modélisant dans le language Julia la propagation d'une épidémie selon différents modèles SIS, SIR, SAIR pour la prédiction de l'état future de la population et le repérage du patient Zero.

manual-strategy-trader

Trader agent in simulated High-Frequency Trading environment ABIDES

market-simulator_ml4t

mern-stack-workoutapp

Workouts Application Developed using MERN (MongoDB, Express.js, React.js, Node.js) Stack.

nlp-cs7650

open-mp

optimisation-numerique

Implementation et Optimisation des Algorithmes et Méthodes numériques de resolution des problèmes d’optimisation, entre autres l'Algorithme de Newton, le Lagrangien augmenté et la méthode des regions de Confiances, en utilisant le pas de Cauchy ou le gradient conjugué tronqué.

optimization

optimize-portfolio_ml4t

randomized-optimmization

Comparing the performance of four randomized optimization methods ( randomized hill climbing, Simulated annealing, Genetic algorithm, MIMIC ) in the context of three optimization problems. They are then applied to a deep learning problem for finding optimal weights for a neural network.

recherche-operationnel-

Modélisation avec le language Julia et Resolution de problèmes d'optimisation avec contraintes en utilisant les méthodes de programmation linéaires , la modélisation géométrique et les méthodes de séparations.

reconnaissance-faciale-par-eigenfaces

Un projet de Machine Learning sous Matlab, utilisant les méthodes de classification des données ainsi que l'analyse en composantes principales (ACP) et SVD

reinforcement-learning-markov-decision-processes

Creating two interesting Markov Decision Processes, solving them using value iteration , policy iteration as well as Q-learning, comparing them and analysing how each method converges, how it performs and how their parameters affects the solution.

sign_detection_pipeline_app

supervised-learning

5 Supervised Learning algorithms : Decision trees, Neural networks Boosting Support Vector Machines k-nearest neighbors applied for Two Classification problem

tdl-be

trading-strategy-evaluation

unsupervised-learning-and-dimensionality-reduction

Exploring Markov Decision Processes, creating two interesting MDPs, solving them using value iteration , policy iteration as well as Q-learning, comparing them and analyse how each method converges, how it performs and how their parameters affects the solution.

vehicule_detection_tracking

Pipeline for vehicle detection tracking and counting using deep neural networks YOLOv4 and DeepSort. • Trained, Hyper-parameters tuned and Evaluated Detection and tracking Neural Networks on DETRAC dataset.

yo

Portfolio

yolor-road-signs-object-detection

younes43.github.io