Alternatives and similar repositories for Learning-Scientific_Machine_Learning_Residual_Based_Attention_PINNs_DeepONets:

Users that are interested in Learning-Scientific_Machine_Learning_Residual_Based_Attention_PINNs_DeepONets are comparing it to the libraries listed below

• jayroxis / PINNs
  PyTorch Implementation of Physics-informed Neural Networks
  ☆566Updated 7 months ago
• omniscientoctopus / Physics-Informed-Neural-Networks
  Investigating PINNs
  ☆542Updated 3 years ago
• nanditadoloi / PINN
  Simple PyTorch Implementation of Physics Informed Neural Network (PINN)
  ☆274Updated 6 months ago
• idrl-lab / PINNpapers
  Must-read Papers on Physics-Informed Neural Networks.
  ☆1,007Updated last year
• rezaakb / pinns-torch
  PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.
  ☆353Updated 7 months ago
• PredictiveIntelligenceLab / Physics-informed-DeepONets
  ☆311Updated 2 years ago
• i207M / PINNacle
  Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.
  ☆266Updated 5 months ago
• mathLab / PINA
  Physics-Informed Neural networks for Advanced modeling
  ☆417Updated this week
• neuraloperator / physics_informed
  ☆394Updated 10 months ago
• bitzhangcy / Neural-PDE-Solver
  ☆841Updated this week
• levimcclenny / SA-PINNs
  Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]
  ☆198Updated 3 years ago
• lululxvi / deeponet
  Learning nonlinear operators via DeepONet
  ☆571Updated 2 years ago
• PML-UCF / pinn
  Physics-informed neural networks package
  ☆284Updated 2 years ago
• benmoseley / FBPINNs
  Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…
  ☆346Updated last month
• ehsanhaghighat / sciann-applications
  A place to share problems solved with SciANN
  ☆263Updated last year
• lu-group / deeponet-fno
  DeepONet & FNO (with practical extensions)
  ☆253Updated last year
• pierremtb / PINNs-TF2.0
  TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).
  ☆255Updated last year
• PredictiveIntelligenceLab / jaxpi
  ☆248Updated 2 months ago
• PredictiveIntelligenceLab / CausalPINNs
  ☆155Updated 11 months ago
• PredictiveIntelligenceLab / GradientPathologiesPINNs
  ☆187Updated 3 years ago
• AmeyaJagtap / XPINNs
  Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…
  ☆166Updated last year
• Raocp / PINN-laminar-flow
  Physics-informed neural network for solving fluid dynamics problems
  ☆207Updated 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…
  ☆160Updated last year
• ehsanhaghighat / sciann
  Deep learning for Engineers - Physics Informed Deep Learning
  ☆328Updated last year
• pdebench / PDEBench
  PDEBench: An Extensive Benchmark for Scientific Machine Learning
  ☆812Updated 2 weeks ago
• rezaakb / pinns-tf2
  PINNs-TF2, Physics-informed Neural Networks (PINNs) implemented in TensorFlow V2.
  ☆90Updated 7 months ago
• a1k12 / characterizing-pinns-failure-modes
  Characterizing possible failure modes in physics-informed neural networks.
  ☆127Updated 3 years ago
• Wulx2050 / DeepXDE-and-PINN
  DeepXDE and PINN
  ☆95Updated 2 years ago
• mroberto166 / CAMLab-DLSCTutorials
  ☆186Updated 5 months ago
• lululxvi / tutorials
  Tutorials on deep learning, Python, and dissipative particle dynamics
  ☆169Updated 2 years ago