NeuralPDE.jl
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Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
https://arxiv.org/abs/1708.07469 [DeepProject.zip](https://github.com/SciML/NeuralPDE.jl/files/5765397/DeepProject.zip) [Final proj.pdf](https://github.com/SciML/NeuralPDE.jl/files/5765398/Final.proj.pdf)
https://arxiv.org/pdf/1909.12678.pdf . The problem set of NeuralNetDiffEq should be extended to this MKV FBSPDE problem with numerical comparison with Python results.
This might be a user error (I am still learning how to use the neural adapter), but I keep getting `LoadError: MethodError: no method matching zero(::Type{Vector{Float64}})` in line `res_ =...
Introduce in the "features" section of docs, a roadmap of development of NeuralPDE along the line of section 3 of https://arxiv.org/abs/2101.08068 that is in two parts: A deterministic approach by...