ComputationalRadiationPhysics / NeuralSolversLinks
Neural network based solvers for partial differential equations and inverse problems . Implementation of physics-informed neural networks in pytorch.
☆18Updated 3 years ago
Alternatives and similar repositories for NeuralSolvers
Users that are interested in NeuralSolvers are comparing it to the libraries listed below
Sorting:
- Gaussian process-based interpretable latent space dynamics identification through deep autoencoder☆34Updated last week
- Using NVIDIA modulus for airfoil optimizations at different angles.☆23Updated 2 years ago
- ☆27Updated last year
- Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…☆115Updated 3 years ago
- Applications of PINOs☆132Updated 2 years ago
- A Python library for training neural ODEs.☆25Updated 6 months ago
- Convolutional Solvers for Partial Differential Equations☆28Updated 5 years ago
- Scientific Machine Learning Tutorials☆39Updated 3 years ago
- Discontinuity Computing Using Physics-Informed Neural Network☆24Updated last year
- ☆54Updated 2 years ago
- Deep renormalized Mori-Zwanzig (DrMZ) Julia package.☆17Updated 2 years ago
- Dimension reduced surrogate construction for parametric PDE maps☆37Updated 4 months ago
- Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics☆63Updated 3 years ago
- ☆50Updated 2 years ago
- XPINN code written in TensorFlow 2☆28Updated 2 years ago
- Example problems in Physics informed neural network in JAX☆80Updated 2 years ago
- ☆116Updated 6 years ago
- Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.☆73Updated last month
- ☆32Updated last year
- This codes calculates the dimensionalized POD and uses SINDy from the PySINDy python package to build a data-driven model for it. The cod…☆20Updated 4 years ago
- Sparse Physics-based and Interpretable Neural Networks☆51Updated 3 years ago
- ☆21Updated 4 years ago
- Practicum on Supervised Learning in Function Spaces☆33Updated 3 years ago
- ☆39Updated last year
- FastVPINNs - A tensor-driven acceleration of VPINNs for complex geometries☆42Updated 6 months ago
- Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of n…☆35Updated 2 years ago
- ☆30Updated last year
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆81Updated this week
- Reliable extrapolation of deep neural operators informed by physics or sparse observations☆27Updated 2 years ago
- ☆54Updated 2 years ago