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
  ☆348Updated last year
• levimcclenny / SA-PINNs
  Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]
  ☆245Updated 3 years ago
• AmeyaJagtap / XPINNs
  Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…
  ☆207Updated 2 years ago
• PredictiveIntelligenceLab / GradientPathologiesPINNs
  ☆221Updated 3 years ago
• ehsanhaghighat / sciann-applications
  A place to share problems solved with SciANN
  ☆286Updated last year
• PredictiveIntelligenceLab / Physics-informed-DeepONets
  ☆361Updated 2 years ago
• PredictiveIntelligenceLab / CausalPINNs
  ☆172Updated last year
• PredictiveIntelligenceLab / MultiscalePINNs
  ☆147Updated 3 years ago
• pierremtb / PINNs-TF2.0
  TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).
  ☆262Updated last year
• PML-UCF / pinn
  Physics-informed neural networks package
  ☆319Updated 3 years ago
• PML-UCF / pinn_ode_tutorial
  ☆130Updated 3 years ago
• Raocp / PINN-laminar-flow
  Physics-informed neural network for solving fluid dynamics problems
  ☆239Updated 4 years ago
• lululxvi / tutorials
  Tutorials on deep learning, Python, and dissipative particle dynamics
  ☆195Updated 3 years ago
• okada39 / pinn_cavity
  Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.
  ☆151Updated 5 years 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…
  ☆184Updated 2 years ago
• lu-group / gpinn
  Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems
  ☆97Updated 3 years ago
• lululxvi / hpinn
  hPINN: Physics-informed neural networks with hard constraints
  ☆141Updated 3 years ago
• a1k12 / characterizing-pinns-failure-modes
  Characterizing possible failure modes in physics-informed neural networks.
  ☆138Updated 3 years ago
• isds-neu / PhyCRNet
  Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs
  ☆152Updated last year
• 314arhaam / heat-pinn
  A Physics-Informed Neural Network to solve 2D steady-state heat equations.
  ☆154Updated last week
• skoohy / GPT-PINN
  Generative Pre-Trained Physics-Informed Neural Networks Implementation
  ☆101Updated this week
• nanditadoloi / PINN
  Simple PyTorch Implementation of Physics Informed Neural Network (PINN)
  ☆323Updated last year
• PredictiveIntelligenceLab / PINNsNTK
  ☆99Updated 3 years ago
• benmoseley / FBPINNs
  Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…
  ☆440Updated 2 months ago
• isds-neu / EQDiscovery
  Physics-informed learning of governing equations from scarce data
  ☆149Updated 2 years ago
• okada39 / pinn_wave
  Physics Informed Neural Network (PINN) for the wave equation.
  ☆183Updated 5 years ago
• Raocp / PINN-elastodynamics
  physics-informed neural network for elastodynamics problem
  ☆146Updated 3 years ago
• lu-group / deeponet-fno
  A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data
  ☆318Updated 2 years ago
• PredictiveIntelligenceLab / jaxpi
  ☆336Updated 4 months ago
• chen-yingfa / pinn-torch
  PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations
  ☆108Updated 2 years ago