yufeiwang63 / L2D-learning-to-discretize
source code of learning to discretize solving 1d scalar conservation laws via deep reinforcement learning
☆15Updated 4 years ago
Alternatives and similar repositories for L2D-learning-to-discretize:
Users that are interested in L2D-learning-to-discretize are comparing it to the libraries listed below
- A pyTorch Extension for Applied Mathematics☆39Updated 5 years ago
- ☆19Updated 2 years ago
- ☆24Updated 6 years ago
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆35Updated 2 years ago
- Source code for "Deep Dynamical Modeling and Control of Unsteady Fluid Flows" from NeurIPS 2018☆46Updated 6 years ago
- ☆62Updated 5 years ago
- Shallow Learning for Flow Reconstruction with Limited Sensors and Limited Data☆37Updated 6 years ago
- Code for the FiniteNet ICML Paper☆16Updated 5 years ago
- Control of 2D Rayleigh Benard Convection using Deep Reinforcement Learning with Tensorforce and Shenfun.☆17Updated last year
- ☆41Updated 4 years ago
- Source code for Deep Multigrid method https://arxiv.org/pdf/1711.03825.pdf☆18Updated 5 years ago
- Scaling RLLib for generic simulation environments on Theta☆20Updated 2 years ago
- ☆14Updated 5 years ago
- The MegaFlow2D dataset package☆18Updated last year
- Deep renormalized Mori-Zwanzig (DrMZ) Julia package.☆14Updated last year
- The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…☆19Updated 2 years ago
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆92Updated 2 years ago
- ☆39Updated 2 years ago
- Random snippets of code I've developed over the years (generally when bored)☆12Updated last year
- Solve the 1D forced Burgers equation with high order finite elements and finite difference schemes.☆26Updated 2 years ago
- DeepONet extrapolation☆26Updated last year
- In this repository, you will find the different python scripts to train the available models on the AirfRANS dataset proposed at the Neur…☆47Updated 2 months ago
- Pseudospectral Kolmogorov Flow Solver☆37Updated last year
- Turbulent flow network source code☆66Updated last week
- Repository from the paper https://arxiv.org/abs/1908.04127, to train Deep Reinforcement Learning in Fluid Mechanics Setup.☆64Updated 4 years ago
- Deep learning framework for model reduction of dynamical systems☆21Updated 4 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆48Updated 4 years ago
- jupyter notebooks for the neural nets and differential equation paper☆28Updated 3 years ago
- Deep Learning of Turbulent Scalar Mixing☆17Updated 5 years ago
- Supporting code for "Reduced-order modeling of advection-dominated systems with recurrent neural networks and convolutional autoencoders"☆21Updated 4 years ago