maziarraissi / DeepHPMsLinks
Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations
☆285Updated 3 years ago
Alternatives and similar repositories for DeepHPMs
Users that are interested in DeepHPMs are comparing it to the libraries listed below
Sorting:
- Hidden physics models: Machine learning of nonlinear partial differential equations☆149Updated 5 years ago
- ☆274Updated 3 years ago
- ☆241Updated 4 years ago
- TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).☆265Updated 2 years ago
- Deep learning for Engineers - Physics Informed Deep Learning☆361Updated 2 years ago
- IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.☆243Updated last year
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆238Updated 3 years ago
- hPINN: Physics-informed neural networks with hard constraints☆153Updated 4 years ago
- Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data☆150Updated 6 years ago
- PDE-Net: Learning PDEs from Data☆329Updated 4 years ago
- ☆168Updated 3 years ago
- Characterizing possible failure modes in physics-informed neural networks.☆148Updated 4 years ago
- ☆118Updated 6 years ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆270Updated 4 years ago
- Neural network based solvers for partial differential equations and inverse problems . Implementation of physics-informed neural networks…☆159Updated last year
- ☆63Updated 6 years ago
- Solving PDEs with NNs☆55Updated 3 years ago
- Deep learning library for solving differential equations on top of PyTorch.☆62Updated 5 years ago
- Hidden Fluid Mechanics☆351Updated 3 years ago
- This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means…☆181Updated 4 years ago
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆93Updated 3 years ago
- Tutorials on deep learning, Python, and dissipative particle dynamics☆206Updated 3 years ago
- ☆200Updated 9 months ago
- ☆130Updated 3 years ago
- Physics-informed neural networks package☆341Updated 3 years ago
- Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations☆156Updated 5 years ago
- ☆199Updated last year
- ☆383Updated 3 years ago
- Physics-informed learning of governing equations from scarce data☆167Updated 2 years ago
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆159Updated 5 years ago