snagcliffs / PDE-FINDLinks
☆257Updated 2 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:
- Hidden physics models: Machine learning of nonlinear partial differential equations☆146Updated 5 years ago
- Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations☆279Updated 3 years ago
- Physics-informed learning of governing equations from scarce data☆149Updated 2 years ago
- ☆221Updated 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
- Deep learning for Engineers - Physics Informed Deep Learning☆347Updated last year
- Tutorials on deep learning, Python, and dissipative particle dynamics☆195Updated 3 years ago
- ☆187Updated 4 months ago
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆206Updated 2 years ago
- ☆116Updated 6 years ago
- IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.☆235Updated 10 months ago
- ☆172Updated last year
- ☆362Updated 2 years ago
- ETH Zürich Deep Learning in Scientific Computing Master's course 2023☆117Updated last year
- TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).☆262Updated last year
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆243Updated 3 years ago
- ☆147Updated 3 years ago
- Hidden Fluid Mechanics☆328Updated 2 years ago
- Characterizing possible failure modes in physics-informed neural networks.☆138Updated 3 years ago
- ☆99Updated 3 years ago
- Neural network based solvers for partial differential equations and inverse problems . Implementation of physics-informed neural networks…☆154Updated 7 months ago
- Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data☆150Updated 5 years ago
- hPINN: Physics-informed neural networks with hard constraints☆141Updated 3 years ago
- MATLAB codes for physics-informed dynamic mode decomposition (piDMD)☆157Updated last year
- Solving PDEs with NNs☆55Updated 2 years ago
- mathLab mirror of Python Dynamic Mode Decomposition☆101Updated 5 months ago
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…☆439Updated last month
- ☆129Updated 3 years ago
- Deep learning library for solving differential equations on top of PyTorch.☆61Updated 5 years ago
- ☆63Updated 6 years ago