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Netherlands eScience Center
- https://orcid.org/0000-0002-9247-139X
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Repository for the Universal Differential Equations for Scientific Machine Learning paper, describing a computational basis for high performance SciML
Computations involving Lie groups and harmonic analysis
A vim plugin to give you some slime. (Emacs)
🟩⬜ Generates a snake game from a github user contributions graph and output a screen capture as animated svg or gif
Code to support my autonomous foosball playing robot
Lazy shifted arrays for data analysis in Julia
Code associated with my master thesis
Structure Preserving Machine Learning Models in Julia
Atomic interaction potentials based on artificial neural networks
A Bayesian uncertainty quantification toolbox for discrete and continuum numerical models of granular materials, developed by various projects of the University of Twente (NL), the Netherlands eSci…
Monolithic Fluid-Structure Interaction (FSI) solver
GALÆXI: A high order discontinuous Galerkin framework for compressible flows on GPU systems
A scalable reinforcement learning framework for CFD on HPC systems
Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem
Elegant & Performant Scientific Machine Learning in Julia
Julia math built-ins which return NaN and accumulator functions which ignore NaN
The third major version of the MUltiScale Coupling Library and Environment
Notebooks used to explain GEMDAT