Explore projects

Deep Learning for tumor segmentation: evaluation of the impact of preprocessing on the reproducibility of model inference.

Jupyter Notebooks in support of the MEC558 course on hydrology and water resources.

A Jupyter kernel for CASA

Numerical mini-projects for M2_NUM,

Framework to derive constraints on the (velocity-independent) dark matter pair-annihilation cross-section utilising Fermi-LAT gamma-ray data of Milky Way dwarf spheroidal galaxies based on machine learning-optimized background assessment

Jupyter Notebooks in support of the MEC558 course on hydrology and water resources.

Deep learning codes for "Sequence composition dictates chromatin assembly, activity, folding and compartmentalization"

Deep learning codes for "Sequence composition dictates chromatin assembly, activity, folding and compartmentalization"