Stars
Simulate observations with radio interferometers and generate complex visibilities.
Tutorial | Resource-Aware Deep Learning: Tracking Energy Consumption in Scientific AI Applications
LET there be resource-awareness!
Imaging radio interferometric data with Neural Networks.
Monitoring the High Energy Universe – Open, Reproducible, Machine Learning Based Analysis for the First G-APD Cherenkov Telescope
LaTeX Beamer Theme for TU Dortmund with dark theme option
A deep Neural Network alternative to the CLEAN algorithm for Interferometric images
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Reproducible Artificial Intelligence for Cherenkov Telescopes
Materialien zum PeP et al. Toolbox-Workshop