Use SINDY algorithm to discover a dynamical system from coronavirus data
☆12Apr 9, 2024Updated 2 years ago
Alternatives and similar repositories for COVID-19-SINDY
Users that are interested in COVID-19-SINDY are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Generalized sparse regression for continuous and discrete data☆12Feb 23, 2026Updated last month
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆21Mar 25, 2023Updated 3 years ago
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆30Sep 6, 2021Updated 4 years ago
- Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"☆27Jun 25, 2020Updated 5 years ago
- Code for "Unsupervised discovery of interpretable hyperelastic constitutive laws" (Computer Methods in Applied Mechanics and Engineering,…☆27Feb 11, 2025Updated last year
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ☆30Aug 11, 2022Updated 3 years ago
- ☆10Mar 31, 2021Updated 5 years ago
- The repository contains implementations of examples provided in the literature on energy minimization based approach to Physics Informed …☆11Apr 8, 2020Updated 6 years ago
- Machine learning algorithms for discovering dimensionless groups from simulation and experimental data☆15Oct 12, 2022Updated 3 years ago
- KTH-FlowAI / Towards-extraction-of-orthogonal-and-parsimonious-non-linear-modes-from-turbulent-flows☆12Apr 5, 2023Updated 3 years ago
- ☆15Nov 20, 2023Updated 2 years ago
- ☆43May 10, 2023Updated 2 years ago
- Data-driven Identification of 2D Partial Differential Equations using Extracted Physical Features☆12Apr 23, 2021Updated 4 years ago
- ☆33Oct 6, 2022Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Apply filtering-based state estimation to determine the pose of a vehicle on the roadway☆11May 4, 2020Updated 5 years ago
- "Stochasticity in Neural ODEs: An Empirical Study". Experiments from the paper☆13Apr 27, 2020Updated 5 years ago
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Mar 20, 2023Updated 3 years ago
- Sparse Identification of Nonlinear Dynamics for Boundary Value Problems☆13Apr 10, 2021Updated 5 years ago
- XPINN code written in TensorFlow 2☆28Feb 1, 2023Updated 3 years ago
- Model-Based Reinforcement Learning for Highway Environment with MPC Planning: This repository presents an RL framework integrating Model …☆13Nov 22, 2023Updated 2 years ago
- ☆17Aug 13, 2024Updated last year
- Prediction of Fluid Flow in Porous Media by Sparse Observations and Physics-Informed PointNet☆16Aug 24, 2024Updated last year
- [DAC2024] Explainable Fuzzy Neural Network with Multi-Fidelity Reinforcement Learning for Micro-Architecture Design Space Exploration☆10Oct 31, 2024Updated last year
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- ☆17Aug 6, 2024Updated last year
- ☆14Jan 22, 2022Updated 4 years ago
- Dimensionless learning☆44Apr 10, 2026Updated last week
- implementations sde-net☆14Dec 8, 2020Updated 5 years ago
- Scripts for the ANN publication submited to FEAD 2021☆16Jul 10, 2021Updated 4 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
- A serious game to support teaching and learning of topics of connected critical infrastructure in urban settings 🏙 🍃 💧 ⚡️ 🚗 👩💻☆10Dec 1, 2021Updated 4 years ago
- Examplary code for NN, MFNN, DynNet, PINNs and CNN☆51Sep 12, 2021Updated 4 years ago
- ☆13Apr 5, 2024Updated 2 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- The public repository about our joint FINN research project☆37Oct 28, 2022Updated 3 years ago
- Kalman filter implementation☆12May 6, 2018Updated 7 years ago
- ☆20May 25, 2024Updated last year
- Modeling time series using TensorFlow, scikit-learn, SINDy, SARIMA☆16May 25, 2022Updated 3 years ago
- Pytorch Implementation of Deep Kalman Filter☆12Sep 30, 2025Updated 6 months ago
- Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of n…☆40Jul 12, 2023Updated 2 years ago
- Deep Kalman Filter: Simultaneous Multi-Sensor Integration and Modelling; A GNSS/IMU Case Study, Siavash Hosseinyalamdary☆15Aug 12, 2019Updated 6 years ago