Jonas Verhellen's repositories
Bayesian-Illumination
Bayesian Illumination is an accelerated generative model for optimization of small molecules.
Medical_Imaging
Reconstruction of a medical image of a Thorax. Makes use of Landweber, conjugate gradient and a maximum likelihood estimator.
Graph_Convolutional_Network
Pytorch implementation, showcasing how to generalize neural networks to work on arbitrarily structured graphs.
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.
Galactic_Data_Mining
Using Seaborn, Pandas and Tensorflow to study the distribution of stars in the galactic neighborhood.
Linked_Lists
Implementation of a linked list, once in a simple and once in a sophisticated way. Inspired by Linus Torvalds.
Neural_Differential_Equations
Combining differential equations and neural networks to find an inverse solution of the Lotka–Volterra equations.
jonas-verhellen.github.io
Personal Portfolio Website