Alternatives and similar repositories for deeponet:

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

• neuraloperator / physics_informed
  ☆404Updated 11 months ago
• PredictiveIntelligenceLab / Physics-informed-DeepONets
  ☆315Updated 2 years ago
• lu-group / deeponet-fno
  DeepONet & FNO (with practical extensions)
  ☆260Updated last year
• jayroxis / PINNs
  PyTorch Implementation of Physics-informed Neural Networks
  ☆576Updated 8 months ago
• omniscientoctopus / Physics-Informed-Neural-Networks
  Investigating PINNs
  ☆560Updated 3 years ago
• jdtoscano94 / Learning-Scientific_Machine_Learning_Residual_Based_Attention_PINNs_DeepONets
  Physics Informed Machine Learning Tutorials (Pytorch and Jax)
  ☆497Updated 3 months ago
• nanditadoloi / PINN
  Simple PyTorch Implementation of Physics Informed Neural Network (PINN)
  ☆281Updated 7 months ago
• pdebench / PDEBench
  PDEBench: An Extensive Benchmark for Scientific Machine Learning
  ☆829Updated 2 weeks ago
• rezaakb / pinns-torch
  PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.
  ☆377Updated 8 months ago
• neuraloperator / graph-pde
  Using graph network to solve PDEs
  ☆372Updated last year
• PredictiveIntelligenceLab / jaxpi
  ☆258Updated this week
• i207M / PINNacle
  Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.
  ☆277Updated 6 months ago
• levimcclenny / SA-PINNs
  Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]
  ☆204Updated 3 years ago
• PredictiveIntelligenceLab / GradientPathologiesPINNs
  ☆188Updated 3 years ago
• bitzhangcy / Neural-PDE-Solver
  ☆859Updated this week
• neuraloperator / Geo-FNO
  Geometry-Aware Fourier Neural Operator (Geo-FNO)
  ☆207Updated last year
• ehsanhaghighat / sciann-applications
  A place to share problems solved with SciANN
  ☆265Updated last year
• idrl-lab / PINNpapers
  Must-read Papers on Physics-Informed Neural Networks.
  ☆1,027Updated last year
• ehsanhaghighat / sciann
  Deep learning for Engineers - Physics Informed Deep Learning
  ☆330Updated last year
• benmoseley / FBPINNs
  Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…
  ☆353Updated 2 months ago
• mathLab / PINA
  Physics-Informed Neural networks for Advanced modeling
  ☆436Updated this week
• pierremtb / PINNs-TF2.0
  TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).
  ☆255Updated last year
• PML-UCF / pinn
  Physics-informed neural networks package
  ☆290Updated 2 years ago
• idrl-lab / idrlnet
  IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.
  ☆216Updated 3 months ago
• AmeyaJagtap / XPINNs
  Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…
  ☆173Updated 2 years ago
• PredictiveIntelligenceLab / CausalPINNs
  ☆156Updated last year
• maziarraissi / HFM
  Hidden Fluid Mechanics
  ☆311Updated 2 years ago
• a1k12 / characterizing-pinns-failure-modes
  Characterizing possible failure modes in physics-informed neural networks.
  ☆128Updated 3 years ago
• lululxvi / tutorials
  Tutorials on deep learning, Python, and dissipative particle dynamics
  ☆170Updated 2 years ago
• Raocp / PINN-laminar-flow
  Physics-informed neural network for solving fluid dynamics problems
  ☆213Updated 4 years ago