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Search results for neural network pinn
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pinn
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6 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
Diffeqflux.jl
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810
Universal neural differential equations with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods
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
Pinns
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186
PyTorch Implementation of Physics-informed Neural Networks
Fbpinns
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110
Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs)
Neuralsolvers
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103
Neural network based solvers for partial differential equations and inverse problems 🌌. Implementation of physics-informed neural networks in pytorch.
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
Mljc Unito Projectx 2020 Public
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29
Public repository for the proposal “Physics-Informed Machine Learning Simulator for Wildfire Propagation” - MLJC University of Turin - ProjectX2020 Competition (UofT AI)
Gpt Pinn
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22
Generative Pre-Trained Physics-Informed Neural Networks Implementation
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
Sa Pinns
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17
Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]
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