idrl-lab / idrlnetLinks
IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.
☆243Updated last year
Alternatives and similar repositories for idrlnet
Users that are interested in idrlnet are comparing it to the libraries listed below
Sorting:
- Deep learning for Engineers - Physics Informed Deep Learning☆351Updated last year
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆220Updated 2 years ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆255Updated 4 years ago
- ☆229Updated 4 years ago
- A place to share problems solved with SciANN☆295Updated 2 years ago
- ☆180Updated last year
- hPINN: Physics-informed neural networks with hard constraints☆149Updated 4 years ago
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆150Updated 5 years ago
- ☆370Updated 2 years ago
- ☆155Updated 3 years ago
- Characterizing possible failure modes in physics-informed neural networks.☆144Updated 4 years ago
- Generative Pre-Trained Physics-Informed Neural Networks Implementation☆111Updated 2 months ago
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆100Updated 3 years ago
- TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).☆263Updated last year
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆197Updated 2 years ago
- ☆131Updated 3 years ago
- Physics-informed neural networks package☆332Updated 3 years ago
- Physics-informed neural network for solving fluid dynamics problems☆252Updated 4 years ago
- Tutorials on deep learning, Python, and dissipative particle dynamics☆201Updated 3 years ago
- ☆103Updated 4 years ago
- PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations☆121Updated 3 weeks ago
- A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data☆336Updated 2 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆160Updated last year
- A Physics-Informed Neural Network to solve 2D steady-state heat equations.☆165Updated 2 months ago
- Physics-informed learning of governing equations from scarce data☆157Updated 2 years ago
- PINN in solving Navier–Stokes equation☆115Updated 5 years ago
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…☆473Updated this week
- PINNs-TF2, Physics-informed Neural Networks (PINNs) implemented in TensorFlow V2.☆148Updated last year
- ☆197Updated 7 months ago
- Simple PyTorch Implementation of Physics Informed Neural Network (PINN)☆345Updated last year