ehsankharazmi / PINN-COVIDView external linksLinks
PINN-COVID analyzes a plurality of epidemiological models through the lens of physics-informed neural networks (PINNs).
☆23Oct 12, 2021Updated 4 years ago
Alternatives and similar repositories for PINN-COVID
Users that are interested in PINN-COVID are comparing it to the libraries listed below
Sorting:
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Mar 20, 2023Updated 2 years ago
- [AAAI-23] Epidemiologically-informed Neural Networks☆15Dec 2, 2022Updated 3 years ago
- Code accompanying the manuscript "Augmented Physics-Informed Neural Networks (APINNs): A gating network-based soft domain decomposition m…☆16Sep 18, 2023Updated 2 years ago
- Using PINN to predict cyclic voltammetry with knowledge of only boundary condition and diffusion law☆20Updated this week
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆21Mar 25, 2023Updated 2 years ago
- This codes calculates the dimensionalized POD and uses SINDy from the PySINDy python package to build a data-driven model for it. The cod…☆23May 9, 2021Updated 4 years ago
- Official code for AL-PINNS: Augmented Lagrangian relaxation method for Physics-Informed Neural Networks☆12Jul 29, 2023Updated 2 years ago
- KTH-FlowAI / Towards-extraction-of-orthogonal-and-parsimonious-non-linear-modes-from-turbulent-flows☆11Apr 5, 2023Updated 2 years ago
- ☆14Mar 3, 2022Updated 3 years ago
- Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics☆67May 8, 2022Updated 3 years ago
- DON-LSTM: Multi-Resolution Learning with DeepONets and Long-Short Term Memory Neural Networks☆10Sep 4, 2025Updated 5 months ago
- ☆15Nov 20, 2023Updated 2 years ago
- Data-driven Identification of 2D Partial Differential Equations using Extracted Physical Features☆12Apr 23, 2021Updated 4 years ago
- ☆31Sep 13, 2025Updated 5 months ago
- [ECML-PKDD2022] EpiGNN: Exploring Spatial Transmission with Graph Neural Network for Regional Epidemic Forecasting☆29Oct 25, 2022Updated 3 years ago
- XPINN code written in TensorFlow 2☆28Feb 1, 2023Updated 3 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆32Dec 24, 2021Updated 4 years ago
- ☆13Dec 5, 2022Updated 3 years ago
- Use SINDY algorithm to discover a dynamical system from coronavirus data☆13Apr 9, 2024Updated last year
- ☆16Aug 6, 2024Updated last year
- Modeling time series using TensorFlow, scikit-learn, SINDy, SARIMA☆16May 25, 2022Updated 3 years ago
- Source code for deep learning-based reduced order models in cardiac electrophysiology. Available on doi.org/10.1371/journal.pone.0239416.☆16Sep 7, 2023Updated 2 years ago
- The package phlearn for modelling pseudo-Hamiltonian systems by pseudo-Hamiltonian neural networks (PHNN), for ODEs and PDEs☆18Mar 12, 2025Updated 11 months ago
- ☆12Aug 22, 2025Updated 5 months ago
- ☆21Feb 21, 2024Updated last year
- PINN Implementation for IJCAI paper, "Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activat…☆20Jun 19, 2024Updated last year
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆76Feb 1, 2023Updated 3 years ago
- Theory-guided physics-informed neural networks for boundary layer problems with singular perturbation☆21Nov 8, 2022Updated 3 years ago
- This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Network…☆19Dec 8, 2023Updated 2 years ago
- ☆15Oct 25, 2021Updated 4 years ago
- ☆25Oct 15, 2020Updated 5 years ago
- ☆19Oct 17, 2021Updated 4 years ago
- Lecture and hands-on material for Track 8- Machine Learning of Argonne Training Program on Extreme-Scale Computing☆45Sep 5, 2025Updated 5 months ago
- Code and data for On the Predictability of Infectious Disease Outbreaks by SV Scarpino & G Petri☆21Oct 1, 2025Updated 4 months ago
- This repository contains the files used in the paper " Reduced-order Model for Fluid Flows via Neural Ordinary Differential Equations"☆20Mar 23, 2023Updated 2 years ago
- Solving PDEs with quantum algorithms: A tutorial at IEEE QCE 2023☆24Sep 26, 2023Updated 2 years ago
- 🏔️ PINNACLE: PINN Adaptive ColLocation and Experimental points selection☆27Jul 26, 2024Updated last year
- Deep Learning based method to try and learn the problem of inverse Navier Stokes and model the flow for an oscillating airfoil.☆24Jun 7, 2020Updated 5 years ago
- implementation of physics-informed variational auto-encoder☆20Oct 26, 2023Updated 2 years ago