Nicolas Chagnet
I am a doctor in theoretical physics turned data scientist: from modeling black holes to optimizing IKEA's logistics.
Welcome to my homepage! I'm Nicolas Chagnet and this is my digital garden. In here, you can find some of my musings on physics, tech, and data science in my blog as well as some links I found interesting on my Linklog. You can find all my latest content on my RSS feed.
Posts
Projects
Energy demand forecast
Forecast of energy demand in France. The data is periodically fetched from the European Network of Transmission System Operators for Electricity API and the model automatically re-trained.
Physics-informed neural networks
Applied deep learning methods to solve differential equations with applications in physics.
Pokemon team optimizer
This project is about finding optimal Pokemon teams using optimization solvers. An optimal team must maximize the base total stat while maximizing the type coverage to reduce weaknesses.
LLM commit message tool
Small CLI tool used to generate commit messages using local LLMs.
arXiv recommendations
Content-based recommendation system of scraped arXiv articles. The model uses cosine similarity to recommend articles and topic clustering to encode authors by the topic in which they work.
Dice game AI agent
Simple AI agent learning to play the French dice game '421'. The game is implemented in the gymnasium environment and the agents are trained using Q-learning methods.
Ising model numerics
Numerical simulation of Ising spins under thermal fluctuations showcasing the transition between ferromagnets and paramagnets. The simulation is achieved with both Monte-Carlo sampling methods and genetic algorithms.