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Search results for physics informed neural networks pinn
physics-informed-neural-networks
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9 search results found
Neurodiffeq
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576
A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.
Pina
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195
Physics-Informed Neural networks for Advanced modeling
Fbpinns
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110
Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs)
Tensordiffeq
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60
Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed computing
Physics Informed Deep Learning Solid And Fluid Mechanics
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55
Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube problems and plane stress linear elasticity boundary value problems
Physics Informed Neural Network In Jax
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31
Example problems in Physics informed neural network in JAX
Gpt Pinn
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22
Generative Pre-Trained Physics-Informed Neural Networks Implementation
Nvidia Modulus Airfoil Optimisation
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20
Using NVIDIA modulus for airfoil optimizations at different angles.
Ms Hpc Ai Gpu
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19
resources pour le cours d'introduction à la programmation des GPUs du mastère spécialisé HPC-AI
Lpinns
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18
To address some of the failure modes in training of physics informed neural networks, a Lagrangian architecture is designed to conform to the direction of travel of information in convection-diffusion equations, i.e., method of characteristic; The repository includes a pytorch implementation of PINN and proposed LPINN with periodic boundary conditions
Awesome Scientific Machine Learning
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15
A curated list of awesome Scientific Machine Learning (SciML) papers, resources and software
Pinn_fwi
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11
PINN-FWI: performing physics-informed neural network for FWI
Pinns Torch
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7
PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.
Pinns_tf2
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6
Tensorflow 2 implementation of PINNs
Bubblenet
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6
A physics-informed deep learning architecture for inferring bubble dynamics
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1-9 of 9 search results
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