Alternatives and similar repositories for idrlnet:

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

• ehsanhaghighat / sciann
  Deep learning for Engineers - Physics Informed Deep Learning
  ☆335Updated last year
• AmeyaJagtap / XPINNs
  Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…
  ☆187Updated 2 years ago
• PredictiveIntelligenceLab / Physics-informed-DeepONets
  ☆332Updated 2 years ago
• ehsanhaghighat / sciann-applications
  A place to share problems solved with SciANN
  ☆275Updated last year
• levimcclenny / SA-PINNs
  Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]
  ☆218Updated 3 years ago
• PredictiveIntelligenceLab / GradientPathologiesPINNs
  ☆198Updated 3 years ago
• Raocp / PINN-laminar-flow
  Physics-informed neural network for solving fluid dynamics problems
  ☆222Updated 4 years ago
• benmoseley / FBPINNs
  Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…
  ☆380Updated 2 weeks ago
• lu-group / deeponet-fno
  DeepONet & FNO (with practical extensions)
  ☆280Updated 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…
  ☆170Updated 2 years ago
• PML-UCF / pinn
  Physics-informed neural networks package
  ☆300Updated 2 years ago
• PredictiveIntelligenceLab / MultiscalePINNs
  ☆132Updated 2 years ago
• PML-UCF / pinn_ode_tutorial
  ☆123Updated 2 years ago
• a1k12 / characterizing-pinns-failure-modes
  Characterizing possible failure modes in physics-informed neural networks.
  ☆132Updated 3 years ago
• okada39 / pinn_wave
  Physics Informed Neural Network (PINN) for the wave equation.
  ☆159Updated 4 years ago
• nanditadoloi / PINN
  Simple PyTorch Implementation of Physics Informed Neural Network (PINN)
  ☆298Updated 9 months ago
• isds-neu / EQDiscovery
  Physics-informed learning of governing equations from scarce data
  ☆140Updated last year
• PredictiveIntelligenceLab / CausalPINNs
  ☆160Updated last year
• maziarraissi / HFM
  Hidden Fluid Mechanics
  ☆321Updated 2 years ago
• lululxvi / hpinn
  hPINN: Physics-informed neural networks with hard constraints
  ☆130Updated 3 years ago
• okada39 / pinn_cavity
  Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.
  ☆138Updated 4 years ago
• Photon-AI-Research / NeuralSolvers
  Neural network based solvers for partial differential equations and inverse problems . Implementation of physics-informed neural networks…
  ☆147Updated 3 months ago
• isds-neu / PhyCRNet
  Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs
  ☆147Updated 10 months ago
• lu-group / gpinn
  gPINN: Gradient-enhanced physics-informed neural networks
  ☆86Updated 2 years ago
• mathLab / PINA
  Physics-Informed Neural networks for Advanced modeling
  ☆468Updated this week
• pierremtb / PINNs-TF2.0
  TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).
  ☆258Updated last year
• luo-yining / CFDBench
  A large-scale benchmark for machine learning methods in fluid dynamics
  ☆183Updated 4 months ago
• chen-yingfa / pinn-torch
  PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations
  ☆95Updated 2 years ago
• jayroxis / PINNs
  PyTorch Implementation of Physics-informed Neural Networks
  ☆599Updated 10 months ago
• i207M / PINNacle
  Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.
  ☆305Updated 8 months ago