Is there any difference in neuralODE and ODENet?

SciML / DiffEqFlux.jl

Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods

https://docs.sciml.ai/DiffEqFlux/stable

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Is there any difference in neuralODE and ODENet? #510

Closed yewalenikhil65 closed 3 years ago

yewalenikhil65 commented 3 years ago

https://arxiv.org/pdf/2005.04849.pdf
This looks like what we are attemting to do at https://github.com/SciML/DataDrivenDiffEq.jl/issues/54 They claim intrepretability like SINDy and yet the framework looks like neuralODE Am i correct ?

ChrisRackauckas commented 3 years ago

Yeah, not much else to it.