cagatayyildiz / npodeLinks
Learning unknown ODE models with Gaussian processes
☆26Updated 7 years ago
Alternatives and similar repositories for npode
Users that are interested in npode are comparing it to the libraries listed below
Sorting:
- Nonparametric Differential Equation Modeling☆54Updated last year
- ☆29Updated 2 years ago
- ☆29Updated 7 years ago
- Sparse Identification of Nonlinear Dynamics for Hybrid Systems☆25Updated 7 years ago
- Data-driven dynamical systems toolbox.☆74Updated 2 weeks ago
- Code for efficiently sampling functions from GP(flow) posteriors☆72Updated 4 years ago
- Demo implementation of Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition☆40Updated 3 years ago
- Software to train neural networks via Koopman operator theory (see Dogra and Redman "Optimizing Neural Networks via Koopman Operator Theo…☆21Updated 2 years ago
- ☆21Updated 4 years ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆56Updated 3 years ago
- A framework for neural network control of dynamical systems over graphs.☆57Updated 2 years ago
- ☆45Updated 4 years ago
- This repository contains code released by DiffEqML Research☆90Updated 3 years ago
- ☆110Updated 4 years ago
- A Python package to learn the Koopman operator.☆60Updated 8 months ago
- Extended Dynamic Mode Decomposition for system identification from time series data (with dictionary learning, control and streaming opti…☆30Updated 11 months ago
- ☆41Updated 7 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- implicit-SINDy code example from paper "Inferring Biological Networks by Sparse Identification fo Nonlinear Dynamics" http://ieeexplore.i…☆30Updated 7 years ago
- project for my essay on how to use neural networks to linearise nonlinear dynamical systems☆9Updated 4 years ago
- ☆21Updated 2 years ago
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Updated 8 years ago
- Python and MATLAB code for Stein Variational sampling methods☆25Updated 6 years ago
- Port-Hamiltonian Approach to Neural Network Training☆24Updated 5 years ago
- Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting☆47Updated last year
- Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".☆29Updated 6 months ago
- [ICML 2022] Learning Efficient and Robust Ordinary Differential \\ Equations via Invertible Neural Networks☆10Updated 2 years ago
- a collection of modern sparse (regularized) linear regression algorithms.☆64Updated 5 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 5 years ago
- Code for Deep Structured Mixtures of Gaussian Processes (DSMGPs)☆11Updated 3 years ago