Yeah, neural network training is notoriously easy to reproduce /s.

Just few things can affect results: source data, data labels, network structure, training parameters, version of training script, versions of libraries, seed for random number generator, hardware, operating system.

Also, deployment is another can of worms.

Also, even if you have open source script, data and labels, there's no guarantee you'll have useful documentation for either of these.