snagcliffs / PDE-FINDLinks
☆274Updated 3 years ago
Alternatives and similar repositories for PDE-FIND
Users that are interested in PDE-FIND are comparing it to the libraries listed below
Sorting:
- Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations☆285Updated 3 years ago
- Hidden physics models: Machine learning of nonlinear partial differential equations☆149Updated 5 years ago
- ☆241Updated 4 years ago
- Physics-informed learning of governing equations from scarce data☆167Updated 2 years ago
- This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means…☆181Updated 4 years ago
- ☆384Updated 3 years ago
- Deep learning for Engineers - Physics Informed Deep Learning☆363Updated 2 years ago
- Characterizing possible failure modes in physics-informed neural networks.☆148Updated 4 years ago
- ☆200Updated 10 months ago
- TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).☆265Updated 2 years ago
- ☆199Updated last year
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆241Updated 3 years ago
- Tutorials on deep learning, Python, and dissipative particle dynamics☆206Updated 3 years ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆270Updated 4 years ago
- ☆118Updated 6 years ago
- hPINN: Physics-informed neural networks with hard constraints☆153Updated 4 years ago
- IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.☆243Updated last year
- ☆49Updated 2 years ago
- ☆110Updated 4 years ago
- MATLAB codes for physics-informed dynamic mode decomposition (piDMD)☆162Updated last year
- ☆168Updated 3 years ago
- Hidden Fluid Mechanics☆351Updated 3 years ago
- ETH Zürich Deep Learning in Scientific Computing Master's course 2023☆122Updated last year
- A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data☆354Updated 2 years ago
- ☆506Updated 10 months ago
- ☆400Updated 2 months ago
- Solving PDEs with NNs☆55Updated 3 years ago
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…☆519Updated 2 months ago
- ☆214Updated last year
- Neural network based solvers for partial differential equations and inverse problems . Implementation of physics-informed neural networks…☆159Updated last year