DiffEqFlux.jl
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Feat: Neural Fractional Diffeq
Mirror of this issue.
I am interested in exploring the possibility of using this package together with FractionalDiffEq.jl. In particular, I would like to setup neural differential equation problem using fractional calculus on the stochastic differential equation definition in order to model non-Gaussian stats of the process. Is this already implemented somewhere? If not, I would be willing to consider implementing it, with some guidance from your side. Thanks, Matteo