Alternatives and similar repositories for nnpde

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

• maziarraissi / FBSNNs
  Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations
  ☆156Updated 5 years ago
• maziarraissi / MultistepNNs
  Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems
  ☆63Updated 5 years ago
• PredictiveIntelligenceLab / UQPINNs
  ☆63Updated 6 years ago
• junbinhuang / DeepRitz
  Implementation of the Deep Ritz method and the Deep Galerkin method
  ☆60Updated 5 years ago
• amkatrutsa / DeepPDE
  Deep Learning application to the partial differential equations
  ☆30Updated 7 years ago
• remcovandermeer / Optimally-Weighted-PINNs
  ☆42Updated 5 years ago
• Jianxun-Wang / Physics-constrained-Bayesian-deep-learning
  Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data
  ☆49Updated 5 years ago
• wukekever / DGM-and-DRM
  PINN, DGM and DRM
  ☆20Updated 2 years ago
• pooyasf / DGM
  Solving High Dimensional Partial Differential Equations with Deep Neural Networks
  ☆34Updated 3 years ago
• erichson / ShallowDecoder
  Shallow Learning for Flow Reconstruction with Limited Sensors and Limited Data
  ☆39Updated 6 years ago
• DonsetPG / fenics-DRL
  Repository from the paper https://arxiv.org/abs/1908.04127, to train Deep Reinforcement Learning in Fluid Mechanics Setup.
  ☆66Updated 4 years ago
• arvindmohan / LSTM_ROM_Arxiv
  A Deep Learning based Approach to Reduced Order Modeling for Turbulent Flow Control using LSTM Neural Networks. arXiv:1804.09269
  ☆43Updated 7 years ago
• ZichaoLong / aTEAM
  A pyTorch Extension for Applied Mathematics
  ☆40Updated 5 years ago
• nw2190 / ConvPDE
  Convolutional Solvers for Partial Differential Equations
  ☆27Updated 5 years ago
• cics-nd / ar-pde-cnn
  Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs
  ☆93Updated 3 years ago
• snagcliffs / parametric-discovery
  ☆26Updated 7 years ago
• MinglangYin / PyTorchTutorial
  Examplary code for NN, MFNN, DynNet, PINNs and CNN
  ☆51Updated 4 years ago
• PredictiveIntelligenceLab / DeepStefan
  ☆21Updated 5 years ago
• janiechen8 / DeepLSMethod
  ☆10Updated 4 years ago
• PhIMaL / DeePyMoD_torch
  Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]
  ☆33Updated last year
• PredictiveIntelligenceLab / USNCCM15-Short-Course-Recent-Advances-in-Physics-Informed-Deep-Learning
  ☆116Updated 6 years ago
• cics-nd / cnn-surrogate
  Bayesian deep convolutional encoder-decoder networks for surrogate modeling and uncertainty quantification
  ☆106Updated 5 years ago
• pswpswpsw / paper-nif
  ☆39Updated 2 years ago
• panchgonzalez / nmor
  Deep learning framework for model reduction of dynamical systems
  ☆21Updated 4 years ago
• Rose-STL-Lab / Turbulent-Flow-Net
  Turbulent flow network source code
  ☆70Updated 7 months ago
• maziarraissi / HPM
  Hidden physics models: Machine learning of nonlinear partial differential equations
  ☆147Updated 5 years ago
• maziarraissi / NumericalGP
  Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations
  ☆69Updated 5 years ago
• barkm / torch-fenics
  PyTorch-FEniCS interface
  ☆102Updated 4 years ago
• Jianxun-Wang / LabelFree-DNN-Surrogate
  Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning
  ☆91Updated 2 years ago
• sisl / deep_flow_control
  Source code for "Deep Dynamical Modeling and Control of Unsteady Fluid Flows" from NeurIPS 2018
  ☆49Updated 6 years ago