XYZ20
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- NeuralPDE.jl Public Forked from SciML/NeuralPDE.jl
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
XYZ20/NeuralPDE.jl’s past year of commit activity - ModelingToolkit.jl Public Forked from SciML/ModelingToolkit.jl
An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations
XYZ20/ModelingToolkit.jl’s past year of commit activity - Kinetic.jl Public Forked from vavrines/Kinetic.jl
Universal modeling and simulation of fluid mechanics upon machine learning. From the Boltzmann equation, heading towards multiscale and multiphysics flows.
XYZ20/Kinetic.jl’s past year of commit activity - DiffEqFlux.jl Public Forked from 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
XYZ20/DiffEqFlux.jl’s past year of commit activity - FiniteVolumeMethod.jl Public Forked from SciML/FiniteVolumeMethod.jl
Solver for two-dimensional conservation equations using the finite volume method in Julia.
XYZ20/FiniteVolumeMethod.jl’s past year of commit activity - Trixi.jl Public Forked from trixi-framework/Trixi.jl
Trixi.jl: Adaptive high-order numerical simulations of hyperbolic PDEs in Julia
XYZ20/Trixi.jl’s past year of commit activity - Surrogates.jl Public Forked from SciML/Surrogates.jl
Surrogate modeling and optimization for scientific machine learning (SciML)
XYZ20/Surrogates.jl’s past year of commit activity
