kailaix / nnpde
CS230 Project: Deep Learning for PDE
☆40Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for nnpde
- Solving High Dimensional Partial Differential Equations with Deep Neural Networks☆30Updated 2 years ago
- Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems☆60Updated 4 years ago
- Implementation of the Deep Ritz method and the Deep Galerkin method☆50Updated 4 years ago
- Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations☆145Updated 4 years ago
- A pyTorch Extension for Applied Mathematics☆38Updated 4 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆44Updated 4 years ago
- ☆61Updated 5 years ago
- Deep Learning application to the partial differential equations☆29Updated 6 years ago
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆86Updated 2 years ago
- Examplary code for NN, MFNN, DynNet, PINNs and CNN☆46Updated 3 years ago
- A Deep Learning based Approach to Reduced Order Modeling for Turbulent Flow Control using LSTM Neural Networks. arXiv:1804.09269☆39Updated 6 years ago
- Group project for Deep Learning: Algorithms and Applications in Peking University 2018 Spring. This is a brief survey, discussion and imp…☆41Updated 6 years ago
- Shallow Learning for Flow Reconstruction with Limited Sensors and Limited Data☆35Updated 5 years ago
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆22Updated 3 years ago
- Machine learning of linear differential equations using Gaussian processes☆22Updated 6 years ago
- DAS: A deep adaptive sampling method for solving high-dimensional partial differential equations☆35Updated 3 weeks ago
- Turbulent flow network source code☆57Updated 10 months ago
- ☆38Updated 4 years ago
- ☆22Updated 4 months ago
- ☆8Updated 3 years ago
- ☆24Updated 6 years ago
- ☆41Updated 9 months ago
- Companion code for "Solving Nonlinear and High-Dimensional Partial Differential Equations via Deep Learning" by A. Al-Aradi, A. Correia, …☆112Updated 5 years ago
- POD-PINN code and manuscript☆45Updated 4 years ago
- Repository from the paper https://arxiv.org/abs/1908.04127, to train Deep Reinforcement Learning in Fluid Mechanics Setup.☆56Updated 3 years ago
- jupyter notebooks for the neural nets and differential equation paper☆27Updated 3 years ago
- Sparse Physics-based and Interpretable Neural Networks☆46Updated 3 years ago
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆79Updated last year
- Deep learning library for solving differential equations on top of PyTorch.☆59Updated 4 years ago
- Competitive Physics Informed Networks☆26Updated last month