Alternatives and similar repositories for PINNacle

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

• lu-group / deeponet-fno
  DeepONet & FNO (with practical extensions)
  ☆312Updated 2 years ago
• PredictiveIntelligenceLab / Physics-informed-DeepONets
  ☆354Updated 2 years ago
• nanditadoloi / PINN
  Simple PyTorch Implementation of Physics Informed Neural Network (PINN)
  ☆316Updated last year
• levimcclenny / SA-PINNs
  Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]
  ☆236Updated 3 years ago
• PredictiveIntelligenceLab / CausalPINNs
  ☆167Updated last year
• AdityaLab / pinnsformer
  ☆138Updated 8 months ago
• lu-group / pinn-sampling
  Non-adaptive and residual-based adaptive sampling for PINNs
  ☆81Updated 2 years ago
• neuraloperator / physics_informed
  ☆465Updated 3 months ago
• PredictiveIntelligenceLab / GradientPathologiesPINNs
  ☆214Updated 3 years ago
• Shengfeng233 / PINN-for-NS-equation
  A pytorch implementaion of physics informed neural networks for two dimensional NS equation
  ☆152Updated last year
• jayroxis / PINNs
  PyTorch Implementation of Physics-informed Neural Networks
  ☆640Updated last year
• isds-neu / PhyCRNet
  Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs
  ☆150Updated last year
• chen-yingfa / pinn-torch
  PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations
  ☆105Updated 2 years ago
• jdtoscano94 / Learning-Scientific_Machine_Learning_Residual_Based_Attention_PINNs_PIKANs_DeepONets
  Physics Informed Machine Learning Tutorials (Pytorch and Jax)
  ☆572Updated 4 months ago
• a1k12 / characterizing-pinns-failure-modes
  Characterizing possible failure modes in physics-informed neural networks.
  ☆137Updated 3 years ago
• Raocp / PINN-laminar-flow
  Physics-informed neural network for solving fluid dynamics problems
  ☆233Updated 4 years ago
• AmeyaJagtap / XPINNs
  Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…
  ☆201Updated 2 years ago
• isds-neu / EQDiscovery
  Physics-informed learning of governing equations from scarce data
  ☆145Updated last year
• yizheng-wang / Research-on-Solving-Partial-Differential-Equations-of-Solid-Mechanics-Based-on-PINN
  This is the code of my master thesis.
  ☆137Updated 3 months ago
• rezaakb / pinns-torch
  PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.
  ☆582Updated last month
• ehsanhaghighat / sciann-applications
  A place to share problems solved with SciANN
  ☆283Updated last year
• li-Pingan / fourier-neural-operator
  ☆51Updated 2 years ago
• PredictiveIntelligenceLab / MultiscalePINNs
  ☆145Updated 3 years ago
• Wulx2050 / DeepXDE-and-PINN
  DeepXDE and PINN
  ☆121Updated 3 years ago
• lululxvi / deeponet
  Learning nonlinear operators via DeepONet
  ☆674Updated 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…
  ☆180Updated 2 years ago
• bitzhangcy / Neural-PDE-Solver
  ☆974Updated last week
• lululxvi / tutorials
  Tutorials on deep learning, Python, and dissipative particle dynamics
  ☆192Updated 3 years ago
• omniscientoctopus / Physics-Informed-Neural-Networks
  Investigating PINNs
  ☆615Updated 3 years ago
• Alexzihaohu / NSFnets
  PINN in solving Navier–Stokes equation
  ☆106Updated 5 years ago