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Search results for scientific machine learning pde
pde
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scientific-machine-learning
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16 search results found
Differentialequations.jl
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2,689
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.
Deepxde
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2,135
A library for scientific machine learning and physics-informed learning
Modelingtoolkit.jl
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1,292
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
Neuralpde.jl
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864
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
Scimltutorials.jl
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698
Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
Diffeqbase.jl
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282
The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
Scimlbenchmarks.jl
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279
Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R
Diffeqoperators.jl
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279
Linear operators for discretizations of differential equations and scientific machine learning (SciML)
Neuraloperators.jl
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206
DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia
Kinetic.jl
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110
Universal modeling and simulation of fluid mechanics upon machine learning. From the Boltzmann equation, heading towards multiscale and multiphysics flows.
Fenics.jl
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86
A scientific machine learning (SciML) wrapper for the FEniCS Finite Element library in the Julia programming language
Fractionaldiffeq.jl
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70
Solve Fractional Differential Equations using high performance numerical methods
Highdimpde.jl
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61
A Julia package for Deep Backwards Stochastic Differential Equation (Deep BSDE) and Feynman-Kac methods to solve high-dimensional PDEs without the curse of dimensionality
Percnn
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29
Encoding physics to learn reaction-diffusion processes
Das
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20
DAS-PINNs: A deep adaptive sampling method for solving high-dimensional partial differential equations
Pinns_tf2
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6
Tensorflow 2 implementation of PINNs
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Scientific Machine Learning Sciml (84)
Julia Scientific Machine Learning (77)
Differential Equations Scientific Machine Learning (69)
Python Pde (35)
Julia Pde (33)
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