Pinned Repositories
Argenomic
Argenomic is a quality-diversity (or illumination) algorithm for optimization of small organic molecules.
Bayesian-Illumination
Bayesian Illumination is an accelerated generative model for optimization of small molecules.
Blocks_From_Purgatory
Tetris clone, inspired by Blocks From Hell but somewhat milder. Contains a few Easter eggs, saves scores in JSON and makes a remote back-up.
challenge-icml-2024
Official repository for the Topological Deep Learning Challenge 2024, organized by TAG-DS & PyT-Team and hosted by GRaM Workshop @ ICML 2024.
Graph_Convolutional_Network
Pytorch implementation, showcasing how to generalize neural networks to work on arbitrarily structured graphs.
LFDeep
The code of the LFDeep project
Linked_Lists
Implementation of a linked list, once in a simple and once in a sophisticated way. Inspired by Linus Torvalds.
Medical_Imaging
Reconstruction of a medical image of a Thorax. Makes use of Landweber, conjugate gradient and a maximum likelihood estimator.
MolecularGraphPareto
Neural_Differential_Equations
Combining differential equations and neural networks to find an inverse solution of the Lotka–Volterra equations.
Jonas-Verhellen's Repositories
Jonas-Verhellen/Argenomic
Argenomic is a quality-diversity (or illumination) algorithm for optimization of small organic molecules.
Jonas-Verhellen/MolecularGraphPareto
Jonas-Verhellen/LFDeep
The code of the LFDeep project
Jonas-Verhellen/Medical_Imaging
Reconstruction of a medical image of a Thorax. Makes use of Landweber, conjugate gradient and a maximum likelihood estimator.
Jonas-Verhellen/Graph_Convolutional_Network
Pytorch implementation, showcasing how to generalize neural networks to work on arbitrarily structured graphs.
Jonas-Verhellen/Blocks_From_Purgatory
Tetris clone, inspired by Blocks From Hell but somewhat milder. Contains a few Easter eggs, saves scores in JSON and makes a remote back-up.
Jonas-Verhellen/challenge-icml-2024
Official repository for the Topological Deep Learning Challenge 2024, organized by TAG-DS & PyT-Team and hosted by GRaM Workshop @ ICML 2024.
Jonas-Verhellen/DMRG
Density matrix renormalization group code implemented for the Heisenberg spin chain model.
Jonas-Verhellen/fourier_neural_operator
Jonas-Verhellen/Galactic_Data_Mining
Using Seaborn, Pandas and Tensorflow to study the distribution of stars in the galactic neighborhood.
Jonas-Verhellen/Linked_Lists
Implementation of a linked list, once in a simple and once in a sophisticated way. Inspired by Linus Torvalds.
Jonas-Verhellen/Neural_Differential_Equations
Combining differential equations and neural networks to find an inverse solution of the Lotka–Volterra equations.
Jonas-Verhellen/jonas-verhellen.github.io
Personal Portfolio Website
Jonas-Verhellen/natneuro-latex-template
LaTeX manuscript template based on a Nature Neuroscience submission