Alternatives and similar repositories for variational-elliptic-SPDE

Users that are interested in variational-elliptic-SPDE are comparing it to the libraries listed below

• CognitiveModeling / finn
  The public repository about our joint FINN research project
  ☆36Updated 2 years ago
• Jianxun-Wang / Physics-constrained-Bayesian-deep-learning
  Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data
  ☆49Updated 4 years ago
• lu-group / deeponet-extrapolation
  DeepONet extrapolation
  ☆27Updated 2 years ago
• Zhengyu-Huang / Operator-Learning
  ☆41Updated 2 years ago
• nickhnelsen / fourier-neural-mappings
  An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.
  ☆21Updated 11 months ago
• PredictiveIntelligenceLab / Long-time-Integration-PI-DeepONets
  ☆53Updated 2 years ago
• nickmcgreivy / WeakBaselinesMLPDE
  ☆26Updated 10 months ago
• chiuph / CAN-PINN
  Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)
  ☆28Updated last year
• RizaXudayi / VarNet
  Variational Neural Networks for the Solution of Partial Differential Equations
  ☆8Updated 5 years ago
• nn4pde / SPINN
  Sparse Physics-based and Interpretable Neural Networks
  ☆50Updated 3 years ago
• MagriLab / KolSol
  Pseudospectral Kolmogorov Flow Solver
  ☆40Updated last year
• somdattagoswami / Approximating-StiffKinetics
  ☆11Updated last year
• zabaras / deep-turbulence
  Multi-fidelity Generative Deep Learning Turbulent Flows
  ☆38Updated 4 years ago
• mroberto166 / nio
  ☆32Updated last year
• BaratiLab / ROMER
  Reduced-Order Modeling of Fluid Flows with Transformers
  ☆24Updated 2 years ago
• PredictiveIntelligenceLab / UQPINNs
  ☆63Updated 5 years ago
• cwq2016 / POD-PINN
  POD-PINN code and manuscript
  ☆51Updated 6 months ago
• cselab / G-LED
  Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems
  ☆30Updated 2 months ago
• lu-group / mionet
  MIONet: Learning multiple-input operators via tensor product
  ☆34Updated 2 years ago
• Yubin-Lu / Temporal-normalizing-flows-for-SDEs
  Try to approximate the solution of Fokker-Planck equation
  ☆9Updated last year
• lu-group / multifidelity-deeponet
  Multifidelity DeepONet
  ☆33Updated last year
• CarlosJose126 / NeuralODE-ROM
  This repository contains the files used in the paper " Reduced-order Model for Fluid Flows via Neural Ordinary Differential Equations"
  ☆19Updated 2 years ago
• tomoleary / dino
  Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning
  ☆16Updated last year
• NicolaRFranco / dlroms
  ☆11Updated 2 weeks ago
• scaomath / torch-cfd
  [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch
  ☆41Updated last week
• pswpswpsw / paper-nif
  ☆38Updated last year
• echowve / phygnnet
  Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"
  ☆46Updated 2 years ago
• Jianxun-Wang / LabelFree-DNN-Surrogate
  Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning
  ☆88Updated last year
• vivekoommen / NeuralOperator_DiffusionModel
  ☆36Updated 2 months ago
• PredictiveIntelligenceLab / UQDeepONet
  ☆10Updated 2 years ago