lululxvi / hpinnLinks
hPINN: Physics-informed neural networks with hard constraints
☆133Updated 3 years ago
Alternatives and similar repositories for hpinn
Users that are interested in hpinn are comparing it to the libraries listed below
Sorting:
- ☆210Updated 3 years ago
- ☆141Updated 2 years ago
- ☆97Updated 3 years ago
- gPINN: Gradient-enhanced physics-informed neural networks☆91Updated 3 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆78Updated 2 years ago
- ODIL (Optimizing a Discrete Loss) is a Python framework for solving inverse and data assimilation problems for partial differential equat…☆105Updated last month
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆229Updated 3 years ago
- ☆165Updated last year
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆193Updated 2 years ago
- Sparse Physics-based and Interpretable Neural Networks☆50Updated 3 years ago
- DeepONet & FNO (with practical extensions)☆300Updated last year
- ☆345Updated 2 years ago
- Implementation of PINNs in TensorFlow 2☆78Updated last year
- Non-adaptive and residual-based adaptive sampling for PINNs☆78Updated 2 years ago
- TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).☆259Updated last year
- Original implementation of fast PINN optimization with RBA weights☆54Updated last month
- ☆131Updated 7 months ago
- Characterizing possible failure modes in physics-informed neural networks.☆135Updated 3 years ago
- Example problems in Physics informed neural network in JAX☆80Updated last year
- Implementation of the Deep Ritz method and the Deep Galerkin method☆55Updated 5 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆150Updated last year
- Physics Informed Neural Network (PINN) for the wave equation.☆170Updated 4 years ago
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆146Updated 4 years ago
- ☆53Updated 2 years ago
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆92Updated 3 years ago
- A Physics-Informed Neural Network to solve 2D steady-state heat equations.☆139Updated 4 months ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆85Updated 4 years ago
- Deep learning library for solving differential equations on top of PyTorch.☆61Updated 4 years ago
- Neural network based solvers for partial differential equations and inverse problems . Implementation of physics-informed neural networks…☆150Updated 4 months ago
- ☆180Updated 2 months ago