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Cours - Du Machine Learning aux réseaux convolutifs
A ten-hour machine learning course for third-year bachelor students: from the supervised learning pipeline through to CNNs, U-Net and variational auto-encoders.
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Apprenticeship Thesis - Leveraging Machine Learning for Dynamic and Intelligent Cloud Commitment Recommendations
Apprenticeship thesis: machine learning for dynamic and intelligent cloud commitment recommendations, at Sudo Group.
Sudo Group -
Thesis - Load-balancing and Task Allocation in Dynamic Multi-Agent Systems
Master's thesis: load-balancing and task allocation in dynamic multi-agent systems. Supervised by Pr. Maxime Morge.
Université de Lille -
Natural Language Processing - Transformers Workshop 1
Transformers workshop: attention from first principles, then fine-tuning in practice.
Université de Lille -
Multi-Agent Systems
Multi-agent systems: emergence, coordination and what happens when agents share an environment.
Université de Lille -
Deep Learning - Denoising Autoencoder
Building a denoising autoencoder, and reading the latent space it learns.
Université de Lille -
Dimension Reduction - Uniform Manifold Approximation and Projection
Uniform Manifold Approximation and Projection: what UMAP preserves, and what it does not.
Université de Lille -
Cybersecurity3 - Introduction to secure systems - University of Lille
Introduction to secure systems, part 3: putting the attack chain together.
Université de Lille -
Cybersecurity2 - Introduction to secure systems - University of Lille
Introduction to secure systems, part 2: buffer overflows and defensive compilation.
Université de Lille -
Cybersecurity1 - Introduction to secure systems - University of Lille
Introduction to secure systems, part 1: memory, privilege and the shape of an exploit.
Université de Lille -
Data Science - Facial Landmark Emotion Classification - University of Lille
Classifying emotion from facial landmarks — feature engineering on geometry rather than pixels.
Université de Lille -
Project XSA (X Sentiment Analysis) - University of Lille
Project XSA: sentiment analysis on X, from data collection through to a deployed classifier.
Université de Lille -
Algorithms and Complexity - University of Lille
Algorithms and complexity: designing algorithms and proving what they cost.
Université de Lille -
Internship - Objective Evaluation on Benchmarked Urban Environment LiDAR Data
Objective evaluation of a 3D point cloud classification algorithm on benchmarked urban LiDAR data, at CNRS OSUR.
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Internship - Semantic Segmentation State Of The Art For Ultra High Resolution UAV Imagery
Semantic segmentation for ultra-high-resolution UAV imagery: state of the art and experimental comparison, at CNRS LETG.
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Project - State of the Art on Intelligence to manipulate Covid-19 Data.
State of the art on the methods used to exploit Covid-19 data, with a Dataiku pipeline built on top.
Université Bretagne Sud -
Linear Regression and Simulation Methods Final Exam
Final exam on linear regression and simulation methods, worked through end to end.
Université Bretagne Sud -
Python and Machine Learning - Deep Learning Introduction
Introduction to deep learning: from the perceptron to a trained network, in Python.
Université Bretagne Sud -
Personal Project - Reinforcement Learning applied to robotic agent (Bipedal Walker)
Teaching a Bipedal Walker to walk — a self-directed reinforcement learning project on a continuous control task.
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Internship - Building a predictive model for road surface condition, Accenture Technology.
First engineering placement: a predictive model for road surface condition, built on an industrial Dataiku pipeline.
Accenture