Alternatives and similar repositories for G-LED:

Users that are interested in G-LED are comparing it to the libraries listed below

• vivekoommen / NeuralOperator_DiffusionModel
  ☆25Updated 3 weeks ago
• BaratiLab / FactFormer
  Official implementation of Scalable Transformer for PDE surrogate modelling
  ☆39Updated last year
• camlab-ethz / DSE-for-NeuralOperators
  Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"
  ☆18Updated 10 months ago
• scaomath / torch-cfd
  Neural Operator-Assisted Computational Fluid Dynamics in PyTorch
  ☆28Updated 4 months ago
• nickmcgreivy / WeakBaselinesMLPDE
  ☆25Updated 8 months ago
• zhaoxiaoyu1995 / RecFNO
  This is the implementation of the RecFNO.
  ☆19Updated 2 years ago
• lu-group / deeponet-extrapolation
  DeepONet extrapolation
  ☆26Updated last year
• Zhengyu-Huang / Operator-Learning
  ☆40Updated 2 years ago
• csccm-iitd / WNO
  ☆47Updated 2 months ago
• katiana22 / latent-deeponet
  Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."
  ☆58Updated 8 months ago
• mroberto166 / nio
  ☆31Updated last year
• nickhnelsen / fourier-neural-mappings
  An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.
  ☆18Updated 9 months ago
• liu-ziyuan-math / SPFNO
  ☆12Updated last year
• CognitiveModeling / finn
  The public repository about our joint FINN research project
  ☆36Updated 2 years ago
• MagriLab / KolSol
  Pseudospectral Kolmogorov Flow Solver
  ☆38Updated last year
• erichson / SuperBench
  ☆41Updated 6 months ago
• liu-ziyuan-math / spectral_operator_learning
  Here you find the Spectral Operator Learning Under construcTION
  ☆19Updated 10 months ago
• somdattagoswami / Approximating-StiffKinetics
  ☆10Updated 9 months ago
• eagle-dataset / EagleMeshTransformer
  Code for Mesh Transformer describes in the EAGLE dataset
  ☆38Updated last month
• vivekoommen / NPJCOMPUMATS-03747
  Learning two-phase microstructure evolution using neural operators and autoencoder architectures
  ☆23Updated 11 months ago
• sandialabs / quinn
  Quantification of Uncertainties in Neural Networks
  ☆11Updated 4 months ago
• nec-research / CAPE-ML4Sci
  ☆12Updated 7 months ago
• PredictiveIntelligenceLab / ImprovedDeepONets
  ☆26Updated 2 years ago
• tianshao1992 / DENO4pytorch
  Differential equation neural operator
  ☆20Updated last year
• Edward-Sun / TSM-PDE
  Code of ICML paper arxiv.org/abs/2302.08105
  ☆14Updated last year
• optray / PIANO
  This repository contains the code for the paper: Deciphering and integrating invariants for neural operator learning with various physica…
  ☆11Updated last year
• ningliu-iga / DAFNO
  Domain Agnostic Fourier Neural Operators (DAFNO)
  ☆14Updated 6 months ago
• lu-group / mionet
  MIONet: Learning multiple-input operators via tensor product
  ☆32Updated 2 years ago
• junfeng-chen / position_induced_transformer
  PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations
  ☆17Updated 5 months ago
• tum-pbs / unrolling
  ☆16Updated 3 months ago