Sparse Identification of Nonlinear Dynamics for Hybrid Systems
☆29Aug 8, 2018Updated 7 years ago
Alternatives and similar repositories for Hybrid-SINDy
Users that are interested in Hybrid-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:
- combination of sparse identification of nonlinear dynamics with Akaike information criteria☆17Aug 19, 2017Updated 8 years ago
- implicit-SINDy code example from paper "Inferring Biological Networks by Sparse Identification fo Nonlinear Dynamics" http://ieeexplore.i…☆32Oct 2, 2017Updated 8 years ago
- ☆29Jun 7, 2018Updated 8 years ago
- ☆21Sep 28, 2020Updated 5 years ago
- Sparse Identification of Nonlinear Dynamics for Boundary Value Problems☆13Apr 10, 2021Updated 5 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ☆15Dec 18, 2023Updated 2 years ago
- Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems☆29Jul 30, 2022Updated 3 years ago
- ☆16Oct 18, 2024Updated last year
- Bayesian System IDentification☆28Jan 24, 2018Updated 8 years ago
- ☆11Jan 23, 2017Updated 9 years ago
- Code for "Learning differential equation models from\\ stochastic agent-based model simulations" by John Nardini, Ruth Baker, Mat Simpson…☆14Sep 7, 2022Updated 3 years ago
- SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics☆172Aug 3, 2021Updated 4 years ago
- ☆11Mar 31, 2021Updated 5 years ago
- Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)☆62Jan 8, 2021Updated 5 years ago
- 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.
- ☆16Nov 10, 2021Updated 4 years ago
- Repository for xL-SINDy, a robust algorithm to extract Lagrangian of nonlinear dynamical systems from noisy measurement data.☆13Aug 8, 2022Updated 3 years ago
- ☆44Feb 1, 2018Updated 8 years ago
- PySINDy GUI☆48Apr 15, 2023Updated 3 years ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆58May 20, 2022Updated 4 years ago
- Symbolic XAI explainable machine learning & non-linear regression platform for MATLAB☆17Aug 15, 2022Updated 3 years ago
- ☆19Oct 19, 2020Updated 5 years ago
- Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]☆34Oct 30, 2023Updated 2 years ago
- Benchmark for learning stiff problems using physics-informed machine learning☆13Dec 15, 2021Updated 4 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton☆26Feb 24, 2022Updated 4 years ago
- ☆63Jul 24, 2019Updated 6 years ago
- Experiment with Neural ODE on Pytorch☆14Aug 9, 2019Updated 6 years ago
- Software to train neural networks via Koopman operator theory (see Dogra and Redman "Optimizing Neural Networks via Koopman Operator Theo…☆23Apr 7, 2023Updated 3 years ago
- Learning unknown ODE models with Gaussian processes☆28Jul 30, 2018Updated 7 years ago
- Implementation of Gibbs sampling for spike and slab priors☆19Mar 1, 2017Updated 9 years ago
- Symbolic Identification of Non-linear Dynamics. The method generalizes the SINDy algorithm by combining sparse and genetic-programming-ba…☆91Aug 15, 2022Updated 3 years ago
- ☆309Apr 29, 2020Updated 6 years ago
- [Re] Next Generation Reservoir Computing☆11Dec 12, 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.
- a collection of modern sparse (regularized) linear regression algorithms.☆65May 10, 2020Updated 6 years ago
- Domain Agnostic Fourier Neural Operators (DAFNO)☆20Sep 3, 2024Updated last year
- ☆28Jan 12, 2022Updated 4 years ago
- Code accompanying "Sketching Curvature for Efficient Out-of-Distribution Detection for Deep Neural Networks"☆22Aug 13, 2021Updated 4 years ago
- Parametric Gaussian Process Regression for Big Data☆47Feb 20, 2020Updated 6 years ago
- Interpretable machine learning (symbolic regression) using Genetic programming/Gene expression programming and Sparse regression used …☆36Feb 10, 2021Updated 5 years ago
- SINDy (Sparse Identification of Nonlinear Dynamics) algorithms☆81Dec 8, 2022Updated 3 years ago