Alternatives and similar repositories for PINNacle

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

• lu-group / deeponet-fno
  A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data
  ☆336Updated 2 years ago
• PredictiveIntelligenceLab / Physics-informed-DeepONets
  ☆372Updated 3 years ago
• nanditadoloi / PINN
  Simple PyTorch Implementation of Physics Informed Neural Network (PINN)
  ☆348Updated last year
• levimcclenny / SA-PINNs
  Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]
  ☆260Updated 4 years ago
• jdtoscano94 / Learning-Scientific_Machine_Learning_Residual_Based_Attention_PINNs_PIKANs_DeepONets
  Physics Informed Machine Learning Tutorials (Pytorch and Jax)
  ☆619Updated 9 months ago
• PredictiveIntelligenceLab / CausalPINNs
  ☆183Updated last year
• neuraloperator / physics_informed
  ☆495Updated 8 months ago
• jayroxis / PINNs
  PyTorch Implementation of Physics-informed Neural Networks
  ☆681Updated last year
• yizheng-wang / Research-on-Solving-Partial-Differential-Equations-of-Solid-Mechanics-Based-on-PINN
  This is the code of my master thesis.
  ☆167Updated 7 months ago
• AdityaLab / pinnsformer
  ☆176Updated last year
• Shengfeng233 / PINN-for-NS-equation
  A pytorch implementaion of physics informed neural networks for two dimensional NS equation
  ☆180Updated last year
• lu-group / pinn-sampling
  A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks
  ☆92Updated 3 years ago
• a1k12 / characterizing-pinns-failure-modes
  Characterizing possible failure modes in physics-informed neural networks.
  ☆145Updated 4 years ago
• omniscientoctopus / Physics-Informed-Neural-Networks
  Investigating PINNs
  ☆695Updated 4 years ago
• Raocp / PINN-laminar-flow
  Physics-informed neural network for solving fluid dynamics problems
  ☆254Updated 4 years ago
• PredictiveIntelligenceLab / GradientPathologiesPINNs
  ☆230Updated 4 years ago
• chen-yingfa / pinn-torch
  PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations
  ☆124Updated last month
• rezaakb / pinns-torch
  PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.
  ☆736Updated 5 months ago
• luo-yining / CFDBench
  A large-scale benchmark for machine learning methods in fluid dynamics
  ☆243Updated last month
• lululxvi / deeponet
  Learning nonlinear operators via DeepONet
  ☆727Updated 3 years ago
• isds-neu / EQDiscovery
  Physics-informed learning of governing equations from scarce data
  ☆166Updated 2 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…
  ☆198Updated 2 years ago
• ehsanhaghighat / sciann-applications
  A place to share problems solved with SciANN
  ☆296Updated 2 years ago
• PredictiveIntelligenceLab / MultiscalePINNs
  ☆157Updated 3 years ago
• rezaakb / pinns-tf2
  PINNs-TF2, Physics-informed Neural Networks (PINNs) implemented in TensorFlow V2.
  ☆150Updated last year
• Wulx2050 / DeepXDE-and-PINN
  DeepXDE and PINN
  ☆139Updated 3 years ago
• bitzhangcy / Neural-PDE-Solver
  ☆1,051Updated 3 weeks ago
• hojunkim13 / PINNs
  Basic implementation of physics-informed neural network with pytorch.
  ☆81Updated 3 years ago
• AmeyaJagtap / XPINNs
  Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…
  ☆223Updated 2 years ago
• lululxvi / tutorials
  Tutorials on deep learning, Python, and dissipative particle dynamics
  ☆202Updated 3 years ago