nw2190 / ConvPDELinks
Convolutional Solvers for Partial Differential Equations
☆27Updated 5 years ago
Alternatives and similar repositories for ConvPDE
Users that are interested in ConvPDE are comparing it to the libraries listed below
Sorting:
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- Deep Learning of Turbulent Scalar Mixing☆17Updated 6 years ago
- Scientific Machine Learning Tutorials☆40Updated 4 years ago
- Learning Green's functions of partial differential equations with deep learning.☆71Updated 2 years ago
- Deep renormalized Mori-Zwanzig (DrMZ) Julia package.☆17Updated 2 years ago
- Update PDEKoopman code to Tensorflow 2☆24Updated 4 years ago
- Dimension reduced surrogate construction for parametric PDE maps☆38Updated 4 months ago
- Code for the paper "Structure-preserving neural networks" published in Journal of Computational Physics (JCP).☆19Updated 2 years ago
- Data-driven Geometric Multi-Grid solver for the discrete Poisson equation☆41Updated 3 years ago
- A Python library for training neural ODEs.☆26Updated 11 months ago
- ☆55Updated 2 years ago
- Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…☆117Updated 3 years ago
- A short course in pseudospectral collocation methods for wave equations, with implementations in Python.☆63Updated 4 months ago
- Control of 2D Rayleigh Benard Convection using Deep Reinforcement Learning with Tensorforce and Shenfun.☆21Updated 2 years ago
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆40Updated 3 years ago
- ☆18Updated last year
- Generative Adversarial Networks are used to super resolve turbulent flow fields from low resolution (RANS/LES) fields to high resolution …☆23Updated 4 years ago
- Spectral Methods in Python☆60Updated last week
- Using NVIDIA modulus for airfoil optimizations at different angles.☆25Updated 2 years ago
- Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.☆78Updated last week
- Innovative, efficient, and computational-graph-based finite element simulator for inverse modeling☆87Updated 4 years ago
- Deep learning framework for model reduction of dynamical systems☆21Updated 5 years ago
- ☆42Updated 5 years ago
- ☆118Updated 6 years ago
- FEniCS on GPU takes advantage of CUDA cores to solve SPARSE matrix using cuPy and SciPy libraries.☆20Updated 4 years ago
- This codes calculates the dimensionalized POD and uses SINDy from the PySINDy python package to build a data-driven model for it. The cod…☆23Updated 4 years ago
- Spanwise-averaged Navier–Stokes modelling through convolutional neural network☆14Updated last year
- Publication of Python code used to train ModalPINN☆11Updated 3 years ago
- Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics☆67Updated 3 years ago
- ☆26Updated 7 years ago