Alternatives and similar repositories for PINNacle

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

• PredictiveIntelligenceLab / Physics-informed-DeepONets
  ☆369Updated 2 years ago
• lu-group / deeponet-fno
  A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data
  ☆334Updated 2 years ago
• levimcclenny / SA-PINNs
  Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]
  ☆255Updated 4 years ago
• PredictiveIntelligenceLab / CausalPINNs
  ☆180Updated last year
• nanditadoloi / PINN
  Simple PyTorch Implementation of Physics Informed Neural Network (PINN)
  ☆343Updated last year
• neuraloperator / physics_informed
  ☆491Updated 7 months ago
• jdtoscano94 / Learning-Scientific_Machine_Learning_Residual_Based_Attention_PINNs_PIKANs_DeepONets
  Physics Informed Machine Learning Tutorials (Pytorch and Jax)
  ☆609Updated 8 months ago
• lu-group / pinn-sampling
  A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks
  ☆91Updated 3 years ago
• Shengfeng233 / PINN-for-NS-equation
  A pytorch implementaion of physics informed neural networks for two dimensional NS equation
  ☆175Updated last year
• jayroxis / PINNs
  PyTorch Implementation of Physics-informed Neural Networks
  ☆679Updated last year
• AdityaLab / pinnsformer
  ☆170Updated last year
• PredictiveIntelligenceLab / GradientPathologiesPINNs
  ☆227Updated 4 years ago
• Raocp / PINN-laminar-flow
  Physics-informed neural network for solving fluid dynamics problems
  ☆252Updated 4 years ago
• yizheng-wang / Research-on-Solving-Partial-Differential-Equations-of-Solid-Mechanics-Based-on-PINN
  This is the code of my master thesis.
  ☆162Updated 7 months ago
• lululxvi / deeponet
  Learning nonlinear operators via DeepONet
  ☆716Updated 3 years ago
• PredictiveIntelligenceLab / jaxpi
  ☆372Updated last month
• isds-neu / EQDiscovery
  Physics-informed learning of governing equations from scarce data
  ☆157Updated 2 years ago
• omniscientoctopus / Physics-Informed-Neural-Networks
  Investigating PINNs
  ☆687Updated 4 years ago
• PredictiveIntelligenceLab / MultiscalePINNs
  ☆153Updated 3 years ago
• chen-yingfa / pinn-torch
  PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations
  ☆121Updated 3 weeks ago
• luo-yining / CFDBench
  A large-scale benchmark for machine learning methods in fluid dynamics
  ☆239Updated 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…
  ☆197Updated 2 years ago
• rezaakb / pinns-tf2
  PINNs-TF2, Physics-informed Neural Networks (PINNs) implemented in TensorFlow V2.
  ☆148Updated last year
• pierremtb / PINNs-TF2.0
  TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).
  ☆263Updated last year
• rezaakb / pinns-torch
  PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.
  ☆707Updated 5 months ago
• ehsanhaghighat / sciann-applications
  A place to share problems solved with SciANN
  ☆295Updated 2 years ago
• a1k12 / characterizing-pinns-failure-modes
  Characterizing possible failure modes in physics-informed neural networks.
  ☆144Updated 3 years ago
• Wulx2050 / DeepXDE-and-PINN
  DeepXDE and PINN
  ☆136Updated 3 years ago
• benmoseley / FBPINNs
  Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…
  ☆471Updated last month
• li-Pingan / fourier-neural-operator
  ☆69Updated 2 years ago