Skip to content
View Theozeud's full-sized avatar
6 followers · 13 following

Achievements

Achievement: QuickdrawAchievement: Pull Sharkx2

Achievements

Achievement: QuickdrawAchievement: Pull Sharkx2

Block or report Theozeud

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Theozeud/README.md

Hi there 👋, I'm Théo Duez

Passionate by research, learning Mathematics 📈, Physics ⚛️and Computer Science 💻

I'm a Master student 👨‍🎓, currently enrolled both at CentraleSupélec with a conccurent degree at Paris-Saclay Univeristy in the Analysis-Modelisation-Simulation master's program.

GitHub Stats

Languages and Tools:

  • Programming Languages:

    Julia C++ Python Python

  • Scientific Tools

    LaTeX C++

  • Techs:

    git linux

Some knowledge or experience in :

OCaml R SQLite kokkos

Differents projects I have worked on :

  • From November 2022 to March 2023, I worked on simulation of two phase flows through the Lattice Boltzmann method in the C++ code LBM_saclay during an internship at CEA.

  • From April 2023 to August 2023, during an internship in the group Geometric Numerical Integration and Reduced Complexity Modelling (in the division Numerical Modeling in Plasma Physics at Max Planck), I worked on Scientifique Machine Learning (PINN's). I focused on different architectures as HNN, LNN, SympNet, RNN and LSTM with contributions in different Julia packages

    • GeometricMachineLearning.jl,
    • AbstractNeuralNetworks.jl,
    • EulerLagrange.jl,
    • SymbolicNeuralNetwork.jl.

Pinned Loading

  1. OrdinaryDiffEq.jl OrdinaryDiffEq.jl Public

    Forked from SciML/OrdinaryDiffEq.jl

    High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learni…

    Julia 3

  2. JuliaGNI/GeometricMachineLearning.jl JuliaGNI/GeometricMachineLearning.jl Public

    Structure Preserving Machine Learning Models in Julia

    Julia 41 3

  3. Master-Projects Master-Projects Public

    Somes Projects/Homeworks done during my second year of Master

    Jupyter Notebook 3