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9 search results found
Deepxde
⭐
2,135
A library for scientific machine learning and physics-informed learning
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)
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
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
Pinnacle
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45
Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.
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.
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]
Pinn Laminar Flow
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17
Physics-informed neural network for solving fluid dynamics problems
Rpi3 Hackrf
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11
A remix of Arch Linux ARM for Raspberry Pi 3 B+ built for HackRF and RTL-SDR
Pinns Torch
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7
PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.
Pso Pinn
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6
Physics-Informed Neural Networks Trained with Particle Swarm Optimization
Bubblenet
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6
A physics-informed deep learning architecture for inferring bubble dynamics
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