Alternatives and similar repositories for PINNacle:

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

• PredictiveIntelligenceLab / Physics-informed-DeepONets
  ☆326Updated 2 years ago
• lu-group / deeponet-fno
  DeepONet & FNO (with practical extensions)
  ☆272Updated last year
• PredictiveIntelligenceLab / CausalPINNs
  ☆157Updated last year
• levimcclenny / SA-PINNs
  Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]
  ☆212Updated 3 years ago
• nanditadoloi / PINN
  Simple PyTorch Implementation of Physics Informed Neural Network (PINN)
  ☆294Updated 8 months ago
• neuraloperator / physics_informed
  ☆412Updated last year
• jayroxis / PINNs
  PyTorch Implementation of Physics-informed Neural Networks
  ☆595Updated 10 months ago
• rezaakb / pinns-torch
  PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.
  ☆441Updated 10 months ago
• PredictiveIntelligenceLab / GradientPathologiesPINNs
  ☆194Updated 3 years ago
• jdtoscano94 / Learning-Scientific_Machine_Learning_Residual_Based_Attention_PINNs_PIKANs_DeepONets
  Physics Informed Machine Learning Tutorials (Pytorch and Jax)
  ☆522Updated 3 weeks 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…
  ☆169Updated 2 years ago
• omniscientoctopus / Physics-Informed-Neural-Networks
  Investigating PINNs
  ☆579Updated 3 years ago
• benmoseley / FBPINNs
  Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…
  ☆365Updated 3 months ago
• Raocp / PINN-laminar-flow
  Physics-informed neural network for solving fluid dynamics problems
  ☆219Updated 4 years ago
• Shengfeng233 / PINN-for-NS-equation
  A pytorch implementaion of physics informed neural networks for two dimensional NS equation
  ☆132Updated 11 months ago
• AdityaLab / pinnsformer
  ☆115Updated 5 months ago
• chen-yingfa / pinn-torch
  PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations
  ☆92Updated 2 years ago
• PredictiveIntelligenceLab / jaxpi
  ☆277Updated last week
• a1k12 / characterizing-pinns-failure-modes
  Characterizing possible failure modes in physics-informed neural networks.
  ☆128Updated 3 years ago
• ehsanhaghighat / sciann-applications
  A place to share problems solved with SciANN
  ☆272Updated last year
• pierremtb / PINNs-TF2.0
  TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).
  ☆256Updated last year
• isds-neu / EQDiscovery
  Physics-informed learning of governing equations from scarce data
  ☆137Updated last year
• Wulx2050 / DeepXDE-and-PINN
  DeepXDE and PINN
  ☆102Updated 2 years ago
• isds-neu / PhyCRNet
  Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs
  ☆146Updated 10 months ago
• li-Pingan / fourier-neural-operator
  ☆31Updated 2 years ago
• PredictiveIntelligenceLab / MultiscalePINNs
  ☆130Updated 2 years ago
• AmeyaJagtap / XPINNs
  Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…
  ☆181Updated 2 years ago
• lu-group / gpinn
  gPINN: Gradient-enhanced physics-informed neural networks
  ☆84Updated 2 years ago
• neuraloperator / Geo-FNO
  Geometry-Aware Fourier Neural Operator (Geo-FNO)
  ☆218Updated last year
• lu-group / pinn-sampling
  Non-adaptive and residual-based adaptive sampling for PINNs
  ☆65Updated 2 years ago