Alternatives and similar repositories for Inverse-Problems-using-Physics-Informed-Neural-Networks-PINNs:

Users that are interested in Inverse-Problems-using-Physics-Informed-Neural-Networks-PINNs are comparing it to the libraries listed below

• hojunkim13 / PINNs
  Basic implementation of physics-informed neural network with pytorch.
  ☆63Updated 2 years ago
• VVeida / RK4_PINN
  ☆11Updated 10 months ago
• PML-UCF / pinn_ode_tutorial
  ☆122Updated 2 years ago
• okada39 / pinn_burgers
  Physics Informed Neural Network (PINN) for Burgers' equation.
  ☆69Updated 7 months ago
• ShotaDeguchi / PINN_TF2
  Implementation of PINNs in TensorFlow 2
  ☆75Updated last year
• soanagno / rba-pinns
  Original implementation of fast PINN optimization with RBA weights
  ☆49Updated 5 months ago
• rmojgani / LPINNs
  To address some of the failure modes in training of physics informed neural networks, a Lagrangian architecture is designed to conform to…
  ☆46Updated 2 years ago
• paulpuren / PhyCRNet
  Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs
  ☆31Updated 3 years ago
• Wulx2050 / DeepXDE-and-PINN
  DeepXDE and PINN
  ☆102Updated 2 years ago
• Scien42 / NSFnet
  PINNs for 2D Incompressible Navier-Stokes Equation
  ☆43Updated 10 months ago
• MarcusHA94 / structural-dynamics-pinns
  Research/development of physics-informed neural networks for dynamic systems
  ☆18Updated 3 months ago
• hsbhc / AMAW-PINN
  Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting
  ☆27Updated last year
• zhry10 / PhyLSTM
  We introduce an innovative physics-informed LSTM framework for metamodeling of nonlinear structural systems with scarce data.
  ☆78Updated last year
• jmorrow1000 / PINN-iPINN
  physics-informed neural network and inverse physics-informed neural network
  ☆14Updated last year
• 314arhaam / heat-pinn
  A Physics-Informed Neural Network to solve 2D steady-state heat equations.
  ☆133Updated 2 months ago
• baddoo / piDMD
  MATLAB codes for physics-informed dynamic mode decomposition (piDMD)
  ☆137Updated last year
• matlab-deep-learning / fourier-neural-operator
  ☆17Updated 2 years ago
• amir-cardiolab / PINN-examples
  Examples implementing physics-informed neural networks (PINN) in Pytorch
  ☆63Updated 3 years ago
• XuhuiM / Multi-Fidelity-DNNs-PINNs
  ☆36Updated last year
• lu-group / gpinn
  gPINN: Gradient-enhanced physics-informed neural networks
  ☆84Updated 2 years ago
• TamaraGrossmann / FEM-vs-PINNs
  ☆97Updated last year
• levimcclenny / SA-PINNs
  Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]
  ☆212Updated 3 years ago
• liuxu97531 / PINN_TFI-HSS
  The code for the paper Temperature field inversion of heat-source systems via physics-informed neural networks
  ☆32Updated 2 years ago
• skoohy / GPT-PINN
  Generative Pre-Trained Physics-Informed Neural Networks Implementation
  ☆87Updated last month
• isds-neu / PhyCRNet
  Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs
  ☆146Updated 10 months ago
• obok13 / B-PINNs
  Pytorch implementation of Bayesian physics-informed neural networks
  ☆55Updated 3 years ago
• Shengfeng233 / PINN-for-NS-equation
  A pytorch implementaion of physics informed neural networks for two dimensional NS equation
  ☆132Updated 11 months ago
• imcs-compsim / pinns_for_comp_mech
  Implementation of Physics-Informed Neural Networks for Computational Mechanics based on the DeepXDE package.
  ☆36Updated last week
• pranshupant / DL-ROM
  Deep Learning for Reduced Order Modelling
  ☆93Updated 3 years ago