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