ETH-IBK-SMECH / PIDyNNLinks
☆12Updated 11 months ago
Alternatives and similar repositories for PIDyNN
Users that are interested in PIDyNN are comparing it to the libraries listed below
Sorting:
- ☆14Updated 3 years ago
- SINDy-SA framework: enhancing nonlinear system identification with sensitivity analysis☆11Updated 2 months ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆31Updated 3 years ago
- Research/development of physics-informed neural networks for dynamic systems☆23Updated 7 months ago
- combination of sparse identification of nonlinear dynamics with Akaike information criteria☆16Updated 7 years ago
- Physics Informed Sparse Identification of Nonlinear Dynamics☆10Updated 5 months ago
- Data-driven reduced order modeling for nonlinear dynamical systems☆30Updated this week
- Implementation of a Physics Informed Neural Network (PINN) written in Tensorflow v2, which is capable of solving Partial Differential Equ…☆14Updated 3 years ago
- Solve mass spring damper system with phyics-informed neural networks in MATLAB☆11Updated 9 months ago
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆11Updated last year
- ☆15Updated 3 years ago
- ☆11Updated 3 years ago
- ☆11Updated 3 weeks ago
- Sparse Identification of Nonlinear Dynamics for Boundary Value Problems☆12Updated 4 years ago
- Multi-fidelity reduced-order surrogate modeling☆23Updated last week
- Transformed Generative Pre-Trained Physics-Informed Neural Networks (TGPT-PINN), a framework that extends Physics-Informed Neural Network…☆15Updated last year
- ☆10Updated last year
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆28Updated last year
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Updated 2 years ago
- ☆24Updated 9 months ago
- ☆22Updated 3 years ago
- Physcial Informed Extreme Learning Machine(PIELM) method to solve PDEs, such as Possion problem☆13Updated 6 months ago
- Variational Physic-informed Neural Operator (VINO) for Learning Partial Differential Equations☆15Updated last month
- Physics-Informed Super-Resolution☆10Updated 2 years ago
- Empowering extended Kalman filter (EKF) with Sparse Identification of Nonlinear Dynamics (SINDy)☆55Updated 2 months ago
- Data-driven reduced order modeling for nonlinear dynamical systems☆81Updated last week
- Multi-fidelity regression with neural networks☆13Updated 7 months ago
- Competitive Physics Informed Networks☆30Updated 9 months ago
- ☆30Updated 2 years ago
- ☆20Updated 2 weeks ago