ETH-IBK-SMECH / PIDyNNLinks
☆12Updated last year
Alternatives and similar repositories for PIDyNN
Users that are interested in PIDyNN are comparing it to the libraries listed below
Sorting:
- Official Code for ICML 2024 paper "TENG: Time-Evolving Natural Gradient for Solving PDEs With Deep Neural Nets Toward Machine Precision"☆12Updated 11 months ago
- Bayesian autoencoders for data-driven discovery of coordinates, governing equations and fundamental constants. Proceedings of the Royal S…☆10Updated 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
- ☆14Updated 3 years ago
- combination of sparse identification of nonlinear dynamics with Akaike information criteria☆16Updated 8 years ago
- Solve mass spring damper system with phyics-informed neural networks in MATLAB☆13Updated last year
- ☆12Updated last year
- ☆12Updated 2 weeks ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆30Updated 3 years ago
- Physics Informed Sparse Identification of Nonlinear Dynamics☆11Updated 9 months ago
- SINDy-SA framework: enhancing nonlinear system identification with sensitivity analysis☆12Updated 6 months ago
- Dynamic weight strategy of physics-informed neural networks for the 2D Navier-Stokes equations☆12Updated 3 years ago
- PINNs-MPF is a comprehensive framework designed for simulating interface dynamics using Physics-Informed Neural Networks (PINNs). Leverag…☆16Updated 6 months ago
- Data-guided physics-informed neural networks☆14Updated last year
- ☆26Updated 3 months ago
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆19Updated last year
- This repository contains the source code for the research presented in the paper "Exploring hidden flow structures from sparse data throu…☆12Updated last year
- ☆12Updated 2 years ago
- Separabale Physics-Informed DeepONets in JAX☆14Updated 10 months ago
- Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)☆59Updated 4 years ago
- ☆15Updated 5 months ago
- Physics-Informed Super-Resolution☆10Updated 2 years ago
- Transformed Generative Pre-Trained Physics-Informed Neural Networks (TGPT-PINN), a framework that extends Physics-Informed Neural Network…☆17Updated last year
- Attention mechanism-based neural operator models to solve both forward and inverse problems.☆16Updated 4 months ago
- library for querying the Johns Hopkins Turbulence Database (JHTDB)☆15Updated 4 months ago
- The public repository about our joint FINN research project☆38Updated 2 years ago
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Updated 2 years ago
- Source code for deep learning-based reduced order models in cardiac electrophysiology. Available on doi.org/10.1371/journal.pone.0239416.☆15Updated 2 years ago
- PECANNs: Physics and Equality Constrained Artificial Neural Networks☆24Updated 2 years ago
- Multi-fidelity regression with neural networks☆15Updated 10 months ago