Name: Nicolas Chagnet, PhD
Type: User
Company: Leiden University
Bio: I am a doctor in theoretical physics, specialized in black hole simulations. I also have a wider interest in data science and machine learning!
Location: Leiden
Blog: https://nicolaschagnet.github.io
Nicolas Chagnet, PhD's Projects
Contains a content-based recommendation system of scraped arXiv articles.
Flask-based application scrapping the latest scientific preprint from arXiv.org, with a keyword-based filter.
Crop recommendation project based on a dataset from Kaggle and using estimators from sci-kit learn. Example of dockerized workflow.
Following a tutorial on data science
Forecast of energy demand in France with periodic re-training.
Analysis and visualization of Formula 1 data in the form of an interactive dashboard.
Simple AI playing the 421 dice game using Reinforcement Learning.
A basic rust implementation of the classic hangman game
Python package to auto-generate bibliographies pulling the bibtex data from Inspire
Numerical simulation of Ising spins under thermal fluctuations using both Monte-Carlo methods and Genetic Algorithms.
Various examples of exploratory data analysis and target prediction based on Kaggle datasets and competitions.
Python scripts containing useful editing and draft functions for LaTeX files.
This project is about finding optimal Pokemon teams using optimization solvers.
Recipe collection parsed from Markdown files using Pandoc.
Minimal CLI todo application written in Rust.
A simple Rust-based cross-platform CLI tool to manage user-defined snippets. Snippets are loaded and unloaded through the clipboard.
Template for data science projects
A simple url shortener server written in Rust using actix web and a Mongodb database
Modelisation of vortex rings with a Lattice Boltzmann Method