Supplementary material to *Mini-batch optimization enables training of ODE models on large-scale datasets*

This archive contains supplementary material to the revised version of the manuscript Mini-batch optimization enables training of ODE models on large-scale datasets

This upload contains:

Code for parameter estimation which we used to find our results

Code for in-silico knockout study

The biological models in SBML/PEtab format

The artificial data created and used for a benchmark study

The condensed results of the parameter estimation, as hdf5-files

Figures of the preprint

Code for generation of the figures

Multiple readme files