SciML/NeuralPDE.jl

Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

Juliamachine-learningneural-networkodeneural-networkspartial-differential-equationsdifferential-equationsordinary-differential-equationsdifferentialequationspdepinnscientific-machine-learningneural-differential-equationsscientific-mlscientific-aisciml
This is stars and forks stats for /SciML/NeuralPDE.jl repository. As of 29 Apr, 2024 this repository has 815 stars and 176 forks.

NeuralPDE NeuralPDE.jl is a solver package which consists of neural network solvers for partial differential equations using physics-informed neural networks (PINNs). This package utilizes neural stochastic differential equations to solve PDEs at a greatly increased generality compared with classical methods. Installation Assuming that you already have Julia correctly installed, it suffices to install NeuralPDE.jl in the standard way, that is, by typing ] add NeuralPDE. Note: to exit the Pkg REPL-mode,...
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