Photon-AI-Research / NeuralSolversLinks
Neural network based solvers for partial differential equations and inverse problems . Implementation of physics-informed neural networks in pytorch.
☆153Updated 7 months ago
Alternatives and similar repositories for NeuralSolvers
Users that are interested in NeuralSolvers are comparing it to the libraries listed below
Sorting:
- Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…☆115Updated 3 years ago
- ☆99Updated 3 years ago
- ☆221Updated 3 years ago
- Characterizing possible failure modes in physics-informed neural networks.☆139Updated 3 years ago
- ☆116Updated 6 years ago
- Deep learning for Engineers - Physics Informed Deep Learning☆348Updated last year
- Applications of PINOs☆133Updated 2 years ago
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆207Updated 2 years ago
- hPINN: Physics-informed neural networks with hard constraints☆141Updated 3 years ago
- ☆148Updated 3 years ago
- Hidden physics models: Machine learning of nonlinear partial differential equations☆146Updated 5 years ago
- IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.☆235Updated 10 months ago
- Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations☆279Updated 3 years ago
- ☆187Updated 5 months ago
- Solving PDEs with NNs☆55Updated 2 years ago
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…☆440Updated 2 months ago
- A library for dimensionality reduction on spatial-temporal PDE☆66Updated last year
- Example problems in Physics informed neural network in JAX☆80Updated 2 years ago
- ☆112Updated 6 months ago
- ☆173Updated last year
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆93Updated 3 years ago
- This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means…☆176Updated 4 years ago
- Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data☆150Updated 5 years ago
- ☆338Updated 4 months ago
- ☆257Updated 2 years ago
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆151Updated 5 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆82Updated last week
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆73Updated 2 years ago
- TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).☆262Updated last year
- ☆104Updated last year