Alternatives and similar repositories for HFM:

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

• ehsanhaghighat / sciann-applications
  A place to share problems solved with SciANN
  ☆275Updated last year
• lu-group / deeponet-fno
  DeepONet & FNO (with practical extensions)
  ☆284Updated last year
• PredictiveIntelligenceLab / Physics-informed-DeepONets
  ☆333Updated 2 years ago
• okada39 / pinn_cavity
  Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.
  ☆140Updated 4 years ago
• Shengfeng233 / PINN-for-NS-equation
  A pytorch implementaion of physics informed neural networks for two dimensional NS equation
  ☆136Updated last year
• Raocp / PINN-laminar-flow
  Physics-informed neural network for solving fluid dynamics problems
  ☆222Updated 4 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…
  ☆171Updated 2 years ago
• pierremtb / PINNs-TF2.0
  TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).
  ☆258Updated last year
• lululxvi / tutorials
  Tutorials on deep learning, Python, and dissipative particle dynamics
  ☆185Updated 2 years ago
• neuraloperator / physics_informed
  ☆435Updated 2 weeks ago
• PredictiveIntelligenceLab / GradientPathologiesPINNs
  ☆199Updated 3 years ago
• levimcclenny / SA-PINNs
  Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]
  ☆220Updated 3 years ago
• ehsanhaghighat / sciann
  Deep learning for Engineers - Physics Informed Deep Learning
  ☆336Updated last year
• chen-yingfa / pinn-torch
  PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations
  ☆95Updated 2 years ago
• AmeyaJagtap / XPINNs
  Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…
  ☆188Updated 2 years ago
• nanditadoloi / PINN
  Simple PyTorch Implementation of Physics Informed Neural Network (PINN)
  ☆300Updated 9 months ago
• benmoseley / FBPINNs
  Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…
  ☆381Updated 2 weeks ago
• Raocp / PINN-elastodynamics
  physics-informed neural network for elastodynamics problem
  ☆134Updated 3 years ago
• snagcliffs / PDE-FIND
  ☆250Updated 2 years ago
• okada39 / pinn_wave
  Physics Informed Neural Network (PINN) for the wave equation.
  ☆160Updated 4 years ago
• Alexzihaohu / NSFnets
  PINN in solving Navier–Stokes equation
  ☆97Updated 4 years ago
• vc-bonn / Spline_PINN
  ☆107Updated 2 months ago
• luo-yining / CFDBench
  A large-scale benchmark for machine learning methods in fluid dynamics
  ☆185Updated 4 months ago
• i207M / PINNacle
  Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.
  ☆307Updated 8 months ago
• idrl-lab / idrlnet
  IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.
  ☆225Updated 5 months ago
• PredictiveIntelligenceLab / CausalPINNs
  ☆160Updated last year
• maziarraissi / DeepHPMs
  Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations
  ☆279Updated 2 years ago
• ComputationalDomain / PINNs
  ☆186Updated 2 years ago
• Wulx2050 / DeepXDE-and-PINN
  DeepXDE and PINN
  ☆106Updated 2 years ago
• neuraloperator / Geo-FNO
  Geometry-Aware Fourier Neural Operator (Geo-FNO)
  ☆238Updated last year