Alternatives and similar repositories for gpinn

Users that are interested in gpinn are comparing it to the libraries listed below

• lu-group / pinn-sampling
  A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks
  ☆87Updated 2 years ago
• Alexzihaohu / NSFnets
  PINN in solving Navier–Stokes equation
  ☆112Updated 5 years ago
• okada39 / pinn_cavity
  Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.
  ☆150Updated 5 years ago
• AmeyaJagtap / Conservative_PINNs
  We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …
  ☆73Updated 2 years ago
• ShotaDeguchi / PINN_TF2
  Implementation of PINNs in TensorFlow 2
  ☆81Updated 2 years ago
• levimcclenny / SA-PINNs
  Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]
  ☆248Updated 3 years ago
• Raocp / PINN-elastodynamics
  physics-informed neural network for elastodynamics problem
  ☆146Updated 3 years ago
• Shengfeng233 / PINN-for-turbulence
  A pytorch implementation of several approaches using PINN to slove turbulent flow
  ☆80Updated last year
• PredictiveIntelligenceLab / MultiscalePINNs
  ☆150Updated 3 years ago
• chen-yingfa / pinn-torch
  PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations
  ☆115Updated 2 years ago
• soanagno / rba-pinns
  Original implementation of fast PINN optimization with RBA weights
  ☆59Updated last week
• isds-neu / PhyCRNet
  Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs
  ☆154Updated last year
• alexpapados / Physics-Informed-Deep-Learning-Solid-and-Fluid-Mechanics
  Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…
  ☆187Updated 2 years ago
• katiana22 / TL-DeepONet
  Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.
  ☆73Updated 2 years ago
• Shengfeng233 / PINN-for-NS-equation
  A pytorch implementaion of physics informed neural networks for two dimensional NS equation
  ☆159Updated last year
• saniaki / sequential_PINN
  Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems
  ☆57Updated 4 years ago
• cwq2016 / POD-PINN
  POD-PINN code and manuscript
  ☆53Updated 10 months ago
• hojunkim13 / PINNs
  Basic implementation of physics-informed neural network with pytorch.
  ☆77Updated 2 years ago
• Jianxun-Wang / phygeonet
  PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain
  ☆87Updated 4 years ago
• okada39 / pinn_burgers
  Physics Informed Neural Network (PINN) for Burgers' equation.
  ☆70Updated last year
• ehsankharazmi / hp-VPINNs
  hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations
  ☆82Updated 3 weeks ago
• MinglangYin / PyTorchTutorial
  Examplary code for NN, MFNN, DynNet, PINNs and CNN
  ☆50Updated 4 years ago
• lu-group / mionet
  MIONet: Learning multiple-input operators via tensor product
  ☆37Updated 2 years ago
• JinshuaiBai / PINN_Comp_Mech
  PINN program for computational mechanics
  ☆119Updated last year
• lululxvi / hpinn
  hPINN: Physics-informed neural networks with hard constraints
  ☆142Updated 3 years ago
• PredictiveIntelligenceLab / CausalPINNs
  ☆175Updated last year
• yizheng-wang / Research-on-Solving-Partial-Differential-Equations-of-Solid-Mechanics-Based-on-PINN
  This is the code of my master thesis.
  ☆147Updated 5 months ago
• Jianxun-Wang / LabelFree-DNN-Surrogate
  Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning
  ☆89Updated 2 years ago
• PredictiveIntelligenceLab / GradientPathologiesPINNs
  ☆222Updated 3 years ago
• rbischof / relative_balancing
  ☆64Updated 2 years ago