Alternatives and similar repositories for hpinn

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

• PredictiveIntelligenceLab / MultiscalePINNs
  ☆143Updated 2 years ago
• PredictiveIntelligenceLab / GradientPathologiesPINNs
  ☆212Updated 3 years ago
• lu-group / gpinn
  gPINN: Gradient-enhanced physics-informed neural networks
  ☆92Updated 3 years ago
• PredictiveIntelligenceLab / CausalPINNs
  ☆166Updated last year
• AmeyaJagtap / XPINNs
  Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…
  ☆197Updated 2 years ago
• lu-group / pinn-sampling
  Non-adaptive and residual-based adaptive sampling for PINNs
  ☆79Updated 2 years ago
• levimcclenny / SA-PINNs
  Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]
  ☆232Updated 3 years ago
• lu-group / deeponet-fno
  DeepONet & FNO (with practical extensions)
  ☆306Updated last year
• PredictiveIntelligenceLab / PINNsNTK
  ☆97Updated 3 years ago
• soanagno / rba-pinns
  Original implementation of fast PINN optimization with RBA weights
  ☆56Updated 2 months ago
• okada39 / pinn_cavity
  Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.
  ☆148Updated 4 years ago
• PredictiveIntelligenceLab / Physics-informed-DeepONets
  ☆349Updated 2 years ago
• ehsankharazmi / hp-VPINNs
  hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations
  ☆79Updated 3 years ago
• isds-neu / EQDiscovery
  Physics-informed learning of governing equations from scarce data
  ☆145Updated last year
• okada39 / pinn_burgers
  Physics Informed Neural Network (PINN) for Burgers' equation.
  ☆70Updated 10 months ago
• isds-neu / PhyCRNet
  Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs
  ☆150Updated last year
• skoohy / GPT-PINN
  Generative Pre-Trained Physics-Informed Neural Networks Implementation
  ☆97Updated 4 months ago
• LivingMatterLab / xPINNs
  when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/1…
  ☆70Updated 2 years ago
• pierremtb / PINNs-TF2.0
  TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).
  ☆259Updated last year
• hojunkim13 / PINNs
  Basic implementation of physics-informed neural network with pytorch.
  ☆70Updated 2 years ago
• katiana22 / TL-DeepONet
  Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.
  ☆69Updated last year
• cics-nd / ar-pde-cnn
  Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs
  ☆92Updated 3 years ago
• ShotaDeguchi / PINN_TF2
  Implementation of PINNs in TensorFlow 2
  ☆78Updated last year
• EdgeLLM / pinn-pytorch
  Deep learning library for solving differential equations on top of PyTorch.
  ☆61Updated 4 years ago
• junbinhuang / DeepRitz
  Implementation of the Deep Ritz method and the Deep Galerkin method
  ☆57Updated 5 years ago
• Shengfeng233 / PINN-for-NS-equation
  A pytorch implementaion of physics informed neural networks for two dimensional NS equation
  ☆146Updated last year
• a1k12 / characterizing-pinns-failure-modes
  Characterizing possible failure modes in physics-informed neural networks.
  ☆136Updated 3 years ago
• AdityaLab / pinnsformer
  ☆134Updated 8 months ago
• 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…
  ☆178Updated 2 years ago
• lululxvi / tutorials
  Tutorials on deep learning, Python, and dissipative particle dynamics
  ☆191Updated 2 years ago