Alternatives and similar repositories for pinnsformer

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

• ShuaiGuo16 / PI-DeepONet
  Implementing a physics-informed DeepONet from scratch
  ☆42Updated last year
• isds-neu / PhyCRNet
  Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs
  ☆150Updated last year
• soanagno / rba-pinns
  Original implementation of fast PINN optimization with RBA weights
  ☆56Updated 2 months ago
• PredictiveIntelligenceLab / CausalPINNs
  ☆166Updated last year
• levimcclenny / SA-PINNs
  Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]
  ☆232Updated 3 years ago
• rbischof / relative_balancing
  ☆62Updated 2 years ago
• lu-group / pinn-sampling
  Non-adaptive and residual-based adaptive sampling for PINNs
  ☆79Updated 2 years ago
• PredictiveIntelligenceLab / GradientPathologiesPINNs
  ☆212Updated 3 years ago
• jx-wang-s-group / ppnn
  PDE Preserved Neural Network
  ☆53Updated last month
• yizheng-wang / Research-on-Solving-Partial-Differential-Equations-of-Solid-Mechanics-Based-on-PINN
  This is the code of my master thesis.
  ☆129Updated 2 months ago
• lu-group / deeponet-fno
  DeepONet & FNO (with practical extensions)
  ☆306Updated last year
• erfanhamdi / pinn-torch
  Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose
  ☆49Updated 2 years ago
• ShotaDeguchi / PINN_TF2
  Implementation of PINNs in TensorFlow 2
  ☆78Updated last year
• li-Pingan / fourier-neural-operator
  ☆46Updated 2 years ago
• bilzinet / pifno
  Physics Informed Fourier Neural Operator
  ☆22Updated 7 months ago
• katiana22 / latent-deeponet
  Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."
  ☆62Updated 2 months ago
• lu-group / gpinn
  gPINN: Gradient-enhanced physics-informed neural networks
  ☆92Updated 3 years ago
• PredictiveIntelligenceLab / MultiscalePINNs
  ☆143Updated 2 years ago
• shawnrosofsky / PINO_Applications
  Applications of PINOs
  ☆126Updated 2 years ago
• Alexzihaohu / NSFnets
  PINN in solving Navier–Stokes equation
  ☆105Updated 5 years ago
• isds-neu / EQDiscovery
  Physics-informed learning of governing equations from scarce data
  ☆145Updated last year
• csccm-iitd / WNO
  ☆56Updated 5 months ago
• katiana22 / TL-DeepONet
  Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.
  ☆69Updated last year
• chen-yingfa / pinn-torch
  PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations
  ☆104Updated 2 years ago
• PredictiveIntelligenceLab / Physics-informed-DeepONets
  ☆353Updated 2 years ago
• Raocp / PINN-elastodynamics
  physics-informed neural network for elastodynamics problem
  ☆142Updated 3 years ago
• okada39 / pinn_cavity
  Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.
  ☆148Updated 4 years ago
• a1k12 / characterizing-pinns-failure-modes
  Characterizing possible failure modes in physics-informed neural networks.
  ☆136Updated 3 years ago
• PredictiveIntelligenceLab / PINNsNTK
  ☆97Updated 3 years ago
• Shengfeng233 / PINN-for-NS-equation
  A pytorch implementaion of physics informed neural networks for two dimensional NS equation
  ☆146Updated last year