Alternatives and similar repositories for PDE-Net

Users that are interested in PDE-Net are comparing it to the libraries listed below

• maziarraissi / DeepHPMs
  Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations
  ☆283Updated 3 years ago
• ZichaoLong / aTEAM
  A pyTorch Extension for Applied Mathematics
  ☆40Updated 5 years ago
• cics-nd / cnn-surrogate
  Bayesian deep convolutional encoder-decoder networks for surrogate modeling and uncertainty quantification
  ☆107Updated 5 years ago
• snagcliffs / PDE-FIND
  ☆272Updated 3 years ago
• cics-nd / pde-surrogate
  Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data
  ☆150Updated 6 years ago
• google-research / data-driven-advection
  ☆195Updated 4 years ago
• maziarraissi / HPM
  Hidden physics models: Machine learning of nonlinear partial differential equations
  ☆147Updated 5 years ago
• locuslab / cfd-gcn
  ☆128Updated 2 years ago
• google / data-driven-discretization-1d
  Code for "Learning data-driven discretizations for partial differential equations"
  ☆167Updated 3 months ago
• maziarraissi / FBSNNs
  Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations
  ☆155Updated 5 years ago
• neuraloperator / graph-pde
  Using graph network to solve PDEs
  ☆421Updated 6 months ago
• PredictiveIntelligenceLab / UQPINNs
  ☆63Updated 6 years ago
• cics-nd / ar-pde-cnn
  Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs
  ☆93Updated 3 years ago
• maxjiang93 / space_time_pde
  MeshfreeFlowNet: Physical Constrained Space Time Super-Resolution
  ☆109Updated 4 years ago
• ehsanhaghighat / sciann
  Deep learning for Engineers - Physics Informed Deep Learning
  ☆353Updated last year
• alasdairtran / fourierflow
  [ICLR 2023] Factorized Fourier Neural Operators
  ☆181Updated 2 years ago
• idrl-lab / idrlnet
  IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.
  ☆243Updated last year
• scaomath / galerkin-transformer
  [NeurIPS 2021] Galerkin Transformer: a linear attention without softmax for Partial Differential Equations
  ☆254Updated last year
• sisl / deep_flow_control
  Source code for "Deep Dynamical Modeling and Control of Unsteady Fluid Flows" from NeurIPS 2018
  ☆49Updated 7 years ago
• junbinhuang / DeepRitz
  Implementation of the Deep Ritz method and the Deep Galerkin method
  ☆61Updated 5 years ago
• PredictiveIntelligenceLab / GradientPathologiesPINNs
  ☆230Updated 4 years ago
• juansensio / nangs
  Solving PDEs with NNs
  ☆55Updated 2 years ago
• a1k12 / characterizing-pinns-failure-modes
  Characterizing possible failure modes in physics-informed neural networks.
  ☆145Updated 4 years ago
• barkm / torch-fenics
  PyTorch-FEniCS interface
  ☆103Updated 4 years ago
• Crunch-UQ4MI / neuraluq
  ☆197Updated 8 months ago
• PredictiveIntelligenceLab / MultiscalePINNs
  ☆158Updated 3 years ago
• neuraloperator / Geo-FNO
  Geometry-Aware Fourier Neural Operator (Geo-FNO)
  ☆290Updated 6 months ago
• ZeyuJia / DeepRitzMethod
  Group project for Deep Learning: Algorithms and Applications in Peking University 2018 Spring. This is a brief survey, discussion and imp…
  ☆45Updated 7 years ago
• EdgeLLM / pinn-pytorch
  Deep learning library for solving differential equations on top of PyTorch.
  ☆62Updated 5 years ago
• thunil / Deep-Flow-Prediction
  A framework for fluid flow (Reynolds-averaged Navier Stokes) predictions with deep learning
  ☆329Updated 3 years ago