Pinned Repositories
2022-rwth-julia-workshop
Material for the RWTH Julia workshop on 17th and 18th February 2022
aptsources-cleanup
Detects and interactively deactivates duplicate Apt source entries and deletes sources list files without valid enabled source entries (as requested in https://askubuntu.com/a/762815/175814).
atom
:atom: The hackable text editor
Cakes
Documentation of cake recipes
ge-maths3-ws2223
Global exercises and Self exercises WS22/23
ge-maths4-ss23
Global exercises SS23
ge-pde-ws2122
NumPDE - Numerical Partial Differential Equation - Finite Volume Method (FVM) - Teaching assistant's materials and supplements WS21/22
julia
The Julia Programming Language
NeuralPDE.jl
Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
tqnvo.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
tqnvo's Repositories
tqnvo/ge-maths3-ws2223
Global exercises and Self exercises WS22/23
tqnvo/2022-rwth-julia-workshop
Material for the RWTH Julia workshop on 17th and 18th February 2022
tqnvo/Cakes
Documentation of cake recipes
tqnvo/ge-maths4-ss23
Global exercises SS23
tqnvo/ge-pde-ws2122
NumPDE - Numerical Partial Differential Equation - Finite Volume Method (FVM) - Teaching assistant's materials and supplements WS21/22
tqnvo/julia
The Julia Programming Language
tqnvo/NeuralPDE.jl
Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
tqnvo/tqnvo.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
tqnvo/COMMAS
Presentations at COMMAS
tqnvo/Dash-by-Plotly
Interactive data analytics
tqnvo/deep-learning-assb
Artificial Neural Networks
tqnvo/DifferentialEquations.jl
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components
tqnvo/ge-maths4-ss22
Mathematische Grundlagen IV - Teaching assistant's materials and supplements SS22
tqnvo/Gridap.jl
Grid-based approximation of partial differential equations in Julia
tqnvo/hello-world
hlw-opt
tqnvo/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
tqnvo/kaggle
Machine Learning - Deep Learning - Neural Networks
tqnvo/modules
Environment Modules: provides dynamic modification of a user's environment
tqnvo/OpenFOAMTeaching
tqnvo/poster_BSS24
tqnvo/poster_CSE23
Poster for SIAM CSE 2023 in Netherland
tqnvo/poster_OBMS23
poster for Oxford Battery Modelling Symposium 2023 (OBMS23)
tqnvo/PyBaMM
Fast and flexible physics-based battery models in Python
tqnvo/pymatgen
Python Materials Genomics (pymatgen) is a robust materials analysis code that defines core object representations for structures and molecules with support for many electronic structure codes. It is currently the core analysis code powering the Materials Project.
tqnvo/rheoTool
Toolbox to simulate GNF and viscoelastic fluid flows in OpenFOAM®
tqnvo/RWTH
tqnvo/SpecSolve
Compute spectral measures of self-adjoint operators
tqnvo/thrust
The C++ parallel algorithms library.
tqnvo/tomviz
Cross platform, open source application for the processing, visualization, and analysis of 3D tomography data
tqnvo/Trixi.jl
A tree-based numerical simulation framework for hyperbolic PDEs written in Julia