Ben Moseley

harmonic-oscillator-pinn. Code accompanying my blog post: So, what is a physics-informed neural network?

FBPINNs. Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs)

harmonic-oscillator-pinn-workshop. Introductory workshop on PINNs using the harmonic oscillator

DLSC-2023. ETH Zürich Deep Learning in Scientific Computing Master's course 2023

scalable-pinns-workshop. Workshop on designing efficient and scalable physics-informed neural networks with JAX

seismic-simulation-complex-media. This repository reproduces the results of the paper "Deep learning for fast simulation of seismic waves in complex media" (B. Moseley et al, 2020, Solid Earth)

seismic-simulation-wavenet. Fast approximate simulation of seismic waves using WaveNet

AISE-2024. ETH Zürich AI in the Sciences and Engineering Master's course 2024

intro-to-jax-workshop. Introduction to JAX Workshop @ ETH Zurich, 25 June 2024

symbolic-regression-with-deep-neural-networks-workshop. Introductory workshop on using deep neural networks for symbolic regression

bayesian-time-difference-of-arrival-positioning. Bayesian time-difference-of-arrival positioning using pymc3

jax-intro. Introduction to jax

benmoseley. About me

simple-variational-quantum-eigensolver. A simple variational quantum eigensolver implemented using ProjectQ and Bayesian optimisation

simple-wavenet. Simple WaveNet script using tensorflow and python