Alternatives and similar repositories for Physics-informed-DeepONets:

Users that are interested in Physics-informed-DeepONets are comparing it to the libraries listed below

• neuraloperator / physics_informed
  ☆409Updated last year
• lu-group / deeponet-fno
  DeepONet & FNO (with practical extensions)
  ☆266Updated last year
• PredictiveIntelligenceLab / GradientPathologiesPINNs
  ☆192Updated 3 years ago
• levimcclenny / SA-PINNs
  Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]
  ☆208Updated 3 years ago
• PredictiveIntelligenceLab / CausalPINNs
  ☆156Updated last year
• i207M / PINNacle
  Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.
  ☆286Updated 6 months ago
• ehsanhaghighat / sciann-applications
  A place to share problems solved with SciANN
  ☆269Updated last year
• AmeyaJagtap / XPINNs
  Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…
  ☆178Updated 2 years ago
• nanditadoloi / PINN
  Simple PyTorch Implementation of Physics Informed Neural Network (PINN)
  ☆285Updated 7 months ago
• benmoseley / FBPINNs
  Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…
  ☆359Updated 2 months ago
• lululxvi / tutorials
  Tutorials on deep learning, Python, and dissipative particle dynamics
  ☆175Updated 2 years ago
• PredictiveIntelligenceLab / MultiscalePINNs
  ☆130Updated 2 years ago
• pierremtb / PINNs-TF2.0
  TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).
  ☆256Updated last year
• PredictiveIntelligenceLab / jaxpi
  ☆268Updated last week
• 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…
  ☆167Updated 2 years ago
• a1k12 / characterizing-pinns-failure-modes
  Characterizing possible failure modes in physics-informed neural networks.
  ☆128Updated 3 years ago
• Raocp / PINN-laminar-flow
  Physics-informed neural network for solving fluid dynamics problems
  ☆214Updated 4 years ago
• lululxvi / deeponet
  Learning nonlinear operators via DeepONet
  ☆592Updated 2 years ago
• jayroxis / PINNs
  PyTorch Implementation of Physics-informed Neural Networks
  ☆585Updated 9 months ago
• neuraloperator / Geo-FNO
  Geometry-Aware Fourier Neural Operator (Geo-FNO)
  ☆212Updated last year
• Shengfeng233 / PINN-for-NS-equation
  A pytorch implementaion of physics informed neural networks for two dimensional NS equation
  ☆129Updated 10 months ago
• isds-neu / EQDiscovery
  Physics-informed learning of governing equations from scarce data
  ☆134Updated last year
• isds-neu / PhyCRNet
  Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs
  ☆142Updated 9 months ago
• ADharaUTEXAS123007 / FNO
  Fourier_neural_operator
  ☆11Updated 2 years ago
• jdtoscano94 / Learning-Scientific_Machine_Learning_Residual_Based_Attention_PINNs_PIKANs_DeepONets
  Physics Informed Machine Learning Tutorials (Pytorch and Jax)
  ☆509Updated last week
• rezaakb / pinns-torch
  PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.
  ☆408Updated 9 months ago
• Raocp / PINN-elastodynamics
  physics-informed neural network for elastodynamics problem
  ☆130Updated 3 years ago
• okada39 / pinn_cavity
  Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.
  ☆132Updated 4 years ago
• ehsanhaghighat / sciann
  Deep learning for Engineers - Physics Informed Deep Learning
  ☆333Updated last year
• chen-yingfa / pinn-torch
  PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations
  ☆89Updated 2 years ago