Alternatives and similar repositories for basic-pinn

Users that are interested in basic-pinn are comparing it to the libraries listed below

• levimcclenny / SA-PINNs
  Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]
  ☆265Updated 4 years ago
• AdityaLab / pinnsformer
  ☆194Updated last year
• nguyenkhoa0209 / pinns_tutorial
  Tutorials for Physics-Informed Neural Networks
  ☆111Updated last year
• PredictiveIntelligenceLab / PINNsNTK
  ☆110Updated 4 years ago
• nanditadoloi / PINN
  Simple PyTorch Implementation of Physics Informed Neural Network (PINN)
  ☆358Updated last year
• LivingMatterLab / xPINNs
  when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/1…
  ☆83Updated 3 years ago
• rezaakb / pinns-tf2
  PINNs-TF2, Physics-informed Neural Networks (PINNs) implemented in TensorFlow V2.
  ☆152Updated last year
• okada39 / pinn_cavity
  Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.
  ☆155Updated 5 years ago
• PredictiveIntelligenceLab / CausalPINNs
  ☆195Updated last year
• PML-UCF / pinn_ode_tutorial
  ☆130Updated 3 years ago
• PredictiveIntelligenceLab / GradientPathologiesPINNs
  ☆238Updated 4 years ago
• soanagno / rba-pinns
  Original implementation of fast PINN optimization with RBA weights
  ☆68Updated 4 months ago
• ShotaDeguchi / PINN_TF2
  Implementation of PINNs in TensorFlow 2
  ☆81Updated last month
• benmoseley / DLSC-2023
  ETH Zürich Deep Learning in Scientific Computing Master's course 2023
  ☆122Updated last year
• PML-UCF / pinn
  Physics-informed neural networks package
  ☆340Updated 3 years ago
• PredictiveIntelligenceLab / MultiscalePINNs
  ☆164Updated 3 years ago
• mroberto166 / CAMLab-DLSCTutorials
  ☆213Updated last year
• 314arhaam / heat-pinn
  A Physics-Informed Neural Network to solve 2D steady-state heat equations.
  ☆170Updated 4 months ago
• hojunkim13 / PINNs
  Basic implementation of physics-informed neural network with pytorch.
  ☆83Updated 3 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…
  ☆201Updated 2 years ago
• lu-group / gpinn
  Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems
  ☆107Updated 3 years ago
• shawnrosofsky / PINO_Applications
  Applications of PINOs
  ☆143Updated 3 years ago
• ShuaiGuo16 / PI-DeepONet
  Implementing a physics-informed DeepONet from scratch
  ☆55Updated 2 years ago
• benmoseley / harmonic-oscillator-pinn-workshop
  Introductory workshop on PINNs using the harmonic oscillator
  ☆137Updated last month
• AmeyaJagtap / XPINNs
  Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…
  ☆229Updated 2 years ago
• Alexzihaohu / NSFnets
  PINN in solving Navier–Stokes equation
  ☆122Updated 5 years ago
• ehsanhaghighat / sciann-applications
  A place to share problems solved with SciANN
  ☆297Updated 2 years ago
• okada39 / pinn_wave
  Physics Informed Neural Network (PINN) for the wave equation.
  ☆200Updated 5 years ago
• skoohy / GPT-PINN
  Generative Pre-Trained Physics-Informed Neural Networks Implementation
  ☆114Updated 4 months ago
• katiana22 / TL-DeepONet
  Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.
  ☆75Updated 2 years ago