Alternatives and similar repositories for NeuralOperator

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

• katiana22 / latent-deeponet
  Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."
  ☆63Updated 2 months ago
• camlab-ethz / DSE-for-NeuralOperators
  Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"
  ☆20Updated last year
• scaomath / torch-cfd
  [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch
  ☆45Updated 3 weeks ago
• HaoZhongkai / GNOT
  ☆45Updated 2 years ago
• vivekoommen / NeuralOperator_DiffusionModel
  ☆39Updated 4 months ago
• csccm-iitd / WNO
  ☆56Updated 5 months ago
• lu-group / mionet
  MIONet: Learning multiple-input operators via tensor product
  ☆34Updated 2 years ago
• jx-wang-s-group / ppnn
  PDE Preserved Neural Network
  ☆53Updated 2 months ago
• PredictiveIntelligenceLab / Long-time-Integration-PI-DeepONets
  ☆54Updated 2 years ago
• jx-wang-s-group / CoNFiLD
  Code repo for CoNFiLD: Conditional Neural Field Latent Diffusion Model Generating Spatiotemporal Turbulence
  ☆48Updated 4 months ago
• camlab-ethz / ConvolutionalNeuralOperator
  This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs
  ☆181Updated 2 months ago
• nickhnelsen / fourier-neural-mappings
  An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.
  ☆20Updated last year
• ashiq24 / UNO
  ☆60Updated 3 months ago
• liu-ziyuan-math / SPFNO
  ☆12Updated last year
• thu-ml / GNOT
  ☆76Updated 2 years ago
• PredictiveIntelligenceLab / cvit
  ☆42Updated 4 months ago
• KTH-FlowAI / beta-Variational-autoencoders-and-transformers-for-reduced-order-modelling-of-fluid-flows
  ☆33Updated 2 months ago
• BaratiLab / OFormer
  ☆81Updated 10 months ago
• BaratiLab / Diffusion-based-Fluid-Super-resolution
  PyTorch implementation of the diffusion-based method for CFD data super-resolution proposed in the paper "A Physics-informed Diffusion Mo…
  ☆194Updated 2 years ago
• tum-pbs / autoreg-pde-diffusion
  Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation
  ☆90Updated 7 months ago
• Sysuzqs / PDENNEval
  ☆50Updated 7 months ago
• bilzinet / pifno
  Physics Informed Fourier Neural Operator
  ☆24Updated 7 months ago
• junfeng-chen / position_induced_transformer
  PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations
  ☆20Updated last month
• xlliu2017 / MgNO
  ☆18Updated last year
• lu-group / deeponet-extrapolation
  DeepONet extrapolation
  ☆27Updated 2 years ago
• sifanexisted / fundiff
  ☆17Updated 3 weeks ago
• Cao-WenBo / TSONN
  ☆27Updated 6 months ago
• Zhengyu-Huang / Operator-Learning
  ☆42Updated 2 years ago
• Hrrsmjd / fourier_neural_operator
  Fourier Neural Operator
  ☆12Updated 2 years ago
• Jianxun-Wang / graphGalerkin
  Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems
  ☆55Updated 3 years ago