Alternatives and similar repositories for fourier-neural-operator

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

• lu-group / pinn-sampling
  A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks
  ☆93Updated 3 years ago
• lu-group / deeponet-fno
  A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data
  ☆340Updated 2 years ago
• Sysuzqs / PDENNEval
  ☆52Updated 11 months ago
• yizheng-wang / Research-on-Solving-Partial-Differential-Equations-of-Solid-Mechanics-Based-on-PINN
  This is the code of my master thesis.
  ☆168Updated 7 months ago
• xiaoyuxie-vico / Sci-ML-Book
  ☆32Updated last year
• AdityaLab / pinnsformer
  ☆176Updated last year
• PredictiveIntelligenceLab / Physics-informed-DeepONets
  ☆372Updated 3 years ago
• Shengfeng233 / PINN-for-NS-equation
  A pytorch implementaion of physics informed neural networks for two dimensional NS equation
  ☆180Updated last year
• bilzinet / pifno
  Physics Informed Fourier Neural Operator
  ☆23Updated last year
• Wulx2050 / DeepXDE-and-PINN
  DeepXDE and PINN
  ☆139Updated 3 years ago
• luo-yining / CFDBench
  A large-scale benchmark for machine learning methods in fluid dynamics
  ☆247Updated last month
• neuraloperator / Geo-FNO
  Geometry-Aware Fourier Neural Operator (Geo-FNO)
  ☆290Updated 6 months ago
• ADharaUTEXAS123007 / FNO
  Fourier_neural_operator
  ☆16Updated 2 years ago
• i207M / PINNacle
  Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.
  ☆379Updated last year
• gegewen / ufno
  U-FNO - an enhanced Fourier neural operator-based deep-learning model for multiphase flow
  ☆158Updated last year
• erfanhamdi / pinn-torch
  Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose
  ☆56Updated 3 years ago
• PredictiveIntelligenceLab / MultiscalePINNs
  ☆158Updated 3 years ago
• ZzYyPp47 / DeepONet
  本项目利用pytorch实现了一个简易的模块化DeepONet，凭此可以快速的实现一些简易的DeepONet。
  ☆12Updated 5 months ago
• csccm-iitd / WNO
  ☆65Updated 3 months ago
• isds-neu / PhyCRNet
  Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs
  ☆163Updated last year
• xlliu2017 / MgNO
  ☆23Updated last year
• PredictiveIntelligenceLab / CausalPINNs
  ☆183Updated last year
• levimcclenny / SA-PINNs
  Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]
  ☆260Updated 4 years ago
• Raocp / PINN-elastodynamics
  physics-informed neural network for elastodynamics problem
  ☆152Updated 3 years ago
• hojunkim13 / PINNs
  Basic implementation of physics-informed neural network with pytorch.
  ☆81Updated 3 years ago
• ShuaiGuo16 / PI-DeepONet
  Implementing a physics-informed DeepONet from scratch
  ☆52Updated 2 years ago
• chen-yingfa / pinn-torch
  PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations
  ☆124Updated last month
• lu-group / gpinn
  Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems
  ☆103Updated 3 years ago
• xiangzixuebit / LBPINN
  ☆15Updated 2 years ago
• RiverFlowsInYou98 / DeepONet_pytorch
  ☆26Updated 3 years ago