kailaix / nnpdeLinks
CS230 Project: Deep Learning for PDE
☆40Updated 7 years ago
Alternatives and similar repositories for nnpde
Users that are interested in nnpde are comparing it to the libraries listed below
Sorting:
- Deep Learning application to the partial differential equations☆30Updated 7 years ago
- Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems☆63Updated 5 years ago
- Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations☆156Updated 5 years ago
- Convolutional Solvers for Partial Differential Equations☆27Updated 5 years ago
- ☆63Updated 6 years ago
- ☆118Updated 6 years ago
- ☆42Updated 5 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆50Updated 5 years ago
- Implementation of the Deep Ritz method and the Deep Galerkin method☆61Updated 5 years ago
- Source code for "Deep Dynamical Modeling and Control of Unsteady Fluid Flows" from NeurIPS 2018☆49Updated 7 years ago
- Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)☆62Updated 5 years ago
- PINN, DGM and DRM☆20Updated 2 years ago
- Solving High Dimensional Partial Differential Equations with Deep Neural Networks☆34Updated 4 years ago
- Shallow Learning for Flow Reconstruction with Limited Sensors and Limited Data☆40Updated 7 years ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- A Deep Learning based Approach to Reduced Order Modeling for Turbulent Flow Control using LSTM Neural Networks. arXiv:1804.09269☆44Updated 7 years ago
- ☆23Updated 6 months ago
- ☆26Updated 7 years ago
- Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]☆33Updated 2 years ago
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆28Updated 4 years ago
- Companion code for "Solving Nonlinear and High-Dimensional Partial Differential Equations via Deep Learning" by A. Al-Aradi, A. Correia, …☆122Updated 6 years ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆92Updated 4 years ago
- Hidden physics models: Machine learning of nonlinear partial differential equations☆149Updated 5 years ago
- ☆10Updated 5 years ago
- Deep learning framework for model reduction of dynamical systems☆21Updated 5 years ago
- Turbulent flow network source code☆71Updated 10 months ago
- A pyTorch Extension for Applied Mathematics☆40Updated 5 years ago
- Machine learning of linear differential equations using Gaussian processes☆25Updated 7 years ago
- ☆25Updated 5 years ago
- Examplary code for NN, MFNN, DynNet, PINNs and CNN☆51Updated 4 years ago