tmglncc / SINDy-SALinks
SINDy-SA framework: enhancing nonlinear system identification with sensitivity analysis
☆12Updated 5 months ago
Alternatives and similar repositories for SINDy-SA
Users that are interested in SINDy-SA are comparing it to the libraries listed below
Sorting:
- combination of sparse identification of nonlinear dynamics with Akaike information criteria☆16Updated 8 years ago
- Bayesian autoencoders for data-driven discovery of coordinates, governing equations and fundamental constants. Proceedings of the Royal S…☆10Updated last year
- ☆10Updated 2 years ago
- ☆14Updated 3 years ago
- Research/development of physics-informed neural networks for dynamic systems☆29Updated 10 months ago
- ☆25Updated 3 years ago
- Physcial Informed Extreme Learning Machine(PIELM) method to solve PDEs, such as Possion problem☆15Updated 10 months ago
- mathLab mirror of Python Dynamic Mode Decomposition☆105Updated 7 months ago
- ☆12Updated 10 months ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆30Updated 3 years ago
- Transformed Generative Pre-Trained Physics-Informed Neural Networks (TGPT-PINN), a framework that extends Physics-Informed Neural Network…☆17Updated last year
- Dynamic weight strategy of physics-informed neural networks for the 2D Navier-Stokes equations☆12Updated 3 years ago
- ☆12Updated this week
- This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Network…☆19Updated last year
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆26Updated 4 years ago
- PECANNs: Physics and Equality Constrained Artificial Neural Networks☆24Updated 2 years ago
- ☆21Updated 2 years ago
- Solve mass spring damper system with phyics-informed neural networks in MATLAB☆13Updated last year
- ☆12Updated last year
- Implementation of a Physics Informed Neural Network (PINN) written in Tensorflow v2, which is capable of solving Partial Differential Equ…☆15Updated 3 years ago
- MATLAB codes for physics-informed dynamic mode decomposition (piDMD)☆159Updated last year
- This repository contains the files used in the paper " Reduced-order Model for Fluid Flows via Neural Ordinary Differential Equations"☆18Updated 2 years ago
- ☆39Updated 2 years ago
- Physics-Informed deep LSTM architecture to forecast Lorenz and MFE fluid systems☆13Updated 5 years ago
- Code for Rice et al. 2020 "Analyzing Koopman approaches to physics-informed machine learning for long-term sea-surface temperature forcea…☆36Updated last month
- Yet another PINN implementation☆20Updated last year
- Boosting the training of physics informed neural networks with transfer learning☆26Updated 4 years ago
- Physics Informed Sparse Identification of Nonlinear Dynamics☆11Updated 9 months ago
- Data-guided physics-informed neural networks☆14Updated last year
- ☆25Updated 3 months ago