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13 search results found
Deepxde
⭐
2,135
A library for scientific machine learning and physics-informed learning
Neuralpde.jl
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864
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
Neuraloperators.jl
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206
DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia
Pina
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195
Physics-Informed Neural networks for Advanced modeling
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.
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
Convolutionalneuraloperator
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52
This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs
Nif
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41
A library for dimensionality reduction on spatial-temporal PDE
Awesome Graph Pde
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34
Collection of resources about partial differential equations, graph neural networks, deep learning and dynamical system simulation
Magnet
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25
This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural PDE Solver" https://arxiv.org/abs/2210.05495
Gpt Pinn
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22
Generative Pre-Trained Physics-Informed Neural Networks Implementation
Das
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20
DAS-PINNs: A deep adaptive sampling method for solving high-dimensional partial differential equations
Le_pde
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16
LE-PDE accelerates PDEs' forward simulation and inverse optimization via latent global evolution, achieving significant speedup with SOTA accuracy
Pde Estimation
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12
Pytorch code for learning an underlying PDE from given data.
Physics Driven Ml
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8
Physics-driven machine learning using PyTorch and Firedrake
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1-13 of 13 search results
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