Alternatives and similar repositories for idrlnet

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

• AmeyaJagtap / XPINNs
  Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…
  ☆212Updated 2 years ago
• ehsanhaghighat / sciann
  Deep learning for Engineers - Physics Informed Deep Learning
  ☆350Updated last year
• levimcclenny / SA-PINNs
  Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]
  ☆250Updated 3 years ago
• PredictiveIntelligenceLab / GradientPathologiesPINNs
  ☆225Updated 3 years ago
• ehsanhaghighat / sciann-applications
  A place to share problems solved with SciANN
  ☆290Updated last year
• PML-UCF / pinn
  Physics-informed neural networks package
  ☆325Updated 3 years ago
• PredictiveIntelligenceLab / MultiscalePINNs
  ☆151Updated 3 years ago
• PredictiveIntelligenceLab / CausalPINNs
  ☆178Updated last year
• lululxvi / hpinn
  hPINN: Physics-informed neural networks with hard constraints
  ☆144Updated 3 years ago
• lu-group / gpinn
  Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems
  ☆99Updated 3 years ago
• PML-UCF / pinn_ode_tutorial
  ☆131Updated 3 years ago
• PredictiveIntelligenceLab / PINNsNTK
  ☆98Updated 3 years ago
• pierremtb / PINNs-TF2.0
  TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).
  ☆262Updated 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…
  ☆188Updated 2 years ago
• PredictiveIntelligenceLab / Physics-informed-DeepONets
  ☆365Updated 2 years ago
• lululxvi / tutorials
  Tutorials on deep learning, Python, and dissipative particle dynamics
  ☆196Updated 3 years ago
• a1k12 / characterizing-pinns-failure-modes
  Characterizing possible failure modes in physics-informed neural networks.
  ☆142Updated 3 years ago
• okada39 / pinn_cavity
  Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.
  ☆151Updated 5 years ago
• isds-neu / EQDiscovery
  Physics-informed learning of governing equations from scarce data
  ☆153Updated 2 years ago
• skoohy / GPT-PINN
  Generative Pre-Trained Physics-Informed Neural Networks Implementation
  ☆106Updated last month
• Raocp / PINN-laminar-flow
  Physics-informed neural network for solving fluid dynamics problems
  ☆244Updated 4 years ago
• 314arhaam / heat-pinn
  A Physics-Informed Neural Network to solve 2D steady-state heat equations.
  ☆159Updated last month
• benmoseley / FBPINNs
  Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…
  ☆457Updated 3 months ago
• isds-neu / PhyCRNet
  Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs
  ☆156Updated last year
• lu-group / deeponet-fno
  A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data
  ☆328Updated 2 years ago
• Crunch-UQ4MI / neuraluq
  ☆194Updated 6 months ago
• PredictiveIntelligenceLab / jaxpi
  ☆356Updated 3 weeks ago
• okada39 / pinn_wave
  Physics Informed Neural Network (PINN) for the wave equation.
  ☆190Updated 5 years ago
• nanditadoloi / PINN
  Simple PyTorch Implementation of Physics Informed Neural Network (PINN)
  ☆330Updated last year
• chen-yingfa / pinn-torch
  PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations
  ☆117Updated 2 years ago