Name: Stefan Hödl
Type: User
Company: RobotLab, Radboud University, Nijmegen
Bio: Data Scientist trained @ TU Vienna
Currently PhD candidate using Data & Deep Learning to automate chemistry @ RobotLab
Otherwise busy chasing the wind & waves
Location: Nijmegen
Stefan Hödl's Projects
Master thesis: JAT (Jraph Attention Networks), a deep learning architecture to predict the potential energy and forces of molecules. Adapts Graph Attention Networks (GATv2) within the Message Passing Neural Networks framework to computational chemistry in JAX
A launch point for your personal nvim configuration
Social Network Analysis - Group Project