Alternatives and similar repositories for fourier-neural-operator:

Users that are interested in fourier-neural-operator are comparing it to the libraries listed below

• ShuaiGuo16 / PI-DeepONet
  Implementing a physics-informed DeepONet from scratch
  ☆34Updated last year
• isds-neu / EQDiscovery
  Physics-informed learning of governing equations from scarce data
  ☆129Updated last year
• PML-UCF / pinn_ode_tutorial
  ☆120Updated 2 years ago
• dynamicslab / SINDy-PI
  SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics
  ☆138Updated 3 years 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
• obok13 / B-PINNs
  Pytorch implementation of Bayesian physics-informed neural networks
  ☆50Updated 3 years ago
• matlab-deep-learning / Inverse-Problems-using-Physics-Informed-Neural-Networks-PINNs
  ☆57Updated last year
• hojunkim13 / PINNs
  Basic implementation of physics-informed neural network with pytorch.
  ☆57Updated 2 years ago
• mariusmerkle / TL-PINNs
  Boosting the training of physics informed neural networks with transfer learning
  ☆26Updated 3 years ago
• lululxvi / hpinn
  hPINN: Physics-informed neural networks with hard constraints
  ☆123Updated 3 years ago
• urban-fasel / EnsembleSINDy
  ☆19Updated 3 years ago
• LivingMatterLab / xPINNs
  when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/1…
  ☆62Updated 2 years ago
• isds-neu / PhyCRNet
  Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs
  ☆141Updated 9 months ago
• okada39 / pinn_burgers
  Physics Informed Neural Network (PINN) for Burgers' equation.
  ☆67Updated 5 months ago
• zhry10 / PhyLSTM
  We introduce an innovative physics-informed LSTM framework for metamodeling of nonlinear structural systems with scarce data.
  ☆72Updated last year
• Wulx2050 / DeepXDE-and-PINN
  DeepXDE and PINN
  ☆98Updated 2 years ago
• JayLago / DLDMD
  Deep learning assisted dynamic mode decomposition
  ☆19Updated 3 years ago
• PML-UCF / pinn
  Physics-informed neural networks package
  ☆290Updated 2 years ago
• pooyasf / DGM
  Solving High Dimensional Partial Differential Equations with Deep Neural Networks
  ☆34Updated 3 years ago
• paulpuren / PhyCRNet
  Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs
  ☆24Updated 3 years ago
• lululxvi / tutorials
  Tutorials on deep learning, Python, and dissipative particle dynamics
  ☆170Updated 2 years ago
• PredictiveIntelligenceLab / Physics-informed-DeepONets
  ☆318Updated 2 years ago
• haozhg / odmd
  AI4Science: Python/Matlab implementation of online and window dynamic mode decomposition (Online DMD and Window DMD)
  ☆41Updated 2 years ago
• benmoseley / DLSC-2023
  ETH Zürich Deep Learning in Scientific Computing Master's course 2023
  ☆106Updated 6 months ago
• PredictiveIntelligenceLab / CausalPINNs
  ☆156Updated last year
• Koopman-Laboratory / KoopmanLab
  A library for Koopman Neural Operator with Pytorch.
  ☆260Updated 4 months ago
• okada39 / pinn_wave
  Physics Informed Neural Network (PINN) for the wave equation.
  ☆144Updated 4 years ago
• mathLab / PyDMD
  mathLab mirror of Python Dynamic Mode Decomposition
  ☆82Updated 4 months ago
• saniaki / sequential_PINN
  Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems
  ☆50Updated 4 years ago
• soanagno / rba-pinns
  Original implementation of fast PINN optimization with RBA weights
  ☆47Updated 4 months ago