tmglncc / SINDy-SALinks
SINDy-SA framework: enhancing nonlinear system identification with sensitivity analysis
☆12Updated 9 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
- ☆14Updated 4 years ago
- ☆14Updated 4 years ago
- Research/development of physics-informed neural networks for dynamic systems☆32Updated last year
- Bayesian autoencoders for data-driven discovery of coordinates, governing equations and fundamental constants. Proceedings of the Royal S…☆11Updated last year
- ☆27Updated 4 years ago
- Official Code for ICML 2024 paper "TENG: Time-Evolving Natural Gradient for Solving PDEs With Deep Neural Nets Toward Machine Precision"☆18Updated last year
- ☆10Updated 2 years ago
- Transformed Generative Pre-Trained Physics-Informed Neural Networks (TGPT-PINN), a framework that extends Physics-Informed Neural Network…☆18Updated last year
- mathLab mirror of Python Dynamic Mode Decomposition☆113Updated 10 months ago
- Multi-fidelity regression with neural networks☆17Updated 3 months ago
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆27Updated 4 years ago
- ☆13Updated last year
- Dynamic weight strategy of physics-informed neural networks for the 2D Navier-Stokes equations☆14Updated 3 years ago
- Solve mass spring damper system with phyics-informed neural networks in MATLAB☆15Updated last year
- This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Network…☆19Updated 2 years ago
- ☆12Updated 5 months ago
- ☆40Updated 2 years ago
- ☆12Updated last year
- Reduced order modeling with shallow recurrent decoder networks☆19Updated last week
- ☆21Updated 3 years ago
- Code for Rice et al. 2020 "Analyzing Koopman approaches to physics-informed machine learning for long-term sea-surface temperature forcea…☆36Updated 4 months ago
- Applied project based on PINNs. The physical problem is sound propagation underwater&Helmholtz equation.☆14Updated 4 years ago
- Boosting the training of physics informed neural networks with transfer learning☆27Updated 4 years ago
- ☆13Updated 2 weeks ago
- Data-driven reduced order modeling for nonlinear dynamical systems☆99Updated 2 weeks ago
- Data preprocess method on Physics-informed neural networks☆26Updated 11 months ago
- Multi-fidelity reduced-order surrogate modeling☆31Updated 7 months ago
- This repository provides a PyTorch implementation of the physics informed neural networks by M.Raissi et al.☆11Updated 4 years ago
- Physcial Informed Extreme Learning Machine(PIELM) method to solve PDEs, such as Possion problem☆17Updated last year