sahandha / SINDyLinks
☆11Updated 8 years ago
Alternatives and similar repositories for SINDy
Users that are interested in SINDy are comparing it to the libraries listed below
Sorting:
- A Python package to learn the Koopman operator.☆65Updated 2 weeks 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
- Code for "Deep Energy-Based Modeling of Discrete-Time Physics," NeurIPS, 2020.☆19Updated 3 years ago
- Data-driven dynamical systems toolbox.☆80Updated this week
- Example code to speed up GP inference with gradients for high-dimensional inputs.☆14Updated 4 years ago
- ☆11Updated last year
- Learning unknown ODE models with Gaussian processes☆27Updated 7 years ago
- Hamiltonian Neural Networks for solving Differential Equations☆23Updated 3 years ago
- General purpose code and examples for the mpEDMD algorithm.☆16Updated 2 years ago
- ☆112Updated 4 years ago
- Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting☆48Updated 2 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆74Updated 5 years ago
- implicit-SINDy code example from paper "Inferring Biological Networks by Sparse Identification fo Nonlinear Dynamics" http://ieeexplore.i…☆31Updated 8 years ago
- ☆34Updated 10 months ago
- RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical sy…☆98Updated 2 years ago
- Sparse Identification of Nonlinear Dynamics for Hybrid Systems☆27Updated 7 years ago
- ☆15Updated 5 years ago
- Bayesian Neural Network Surrogates for Bayesian Optimization☆65Updated last year
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆60Updated 3 years ago
- Python model for constrained GP☆26Updated 4 years ago
- A PyTorch library for all things nonlinear control and reinforcement learning.☆47Updated 4 years ago
- A MATLAB package for computing the optimized dynamic mode decomposition (DMD)☆19Updated 7 years ago
- Symplectic Recurrent Neural Networks☆28Updated 2 years ago
- ☆28Updated 3 years ago
- Offline Contextual Bayesian Optimization☆14Updated 2 years ago
- ☆47Updated 5 years ago
- Demo implementation of Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition☆40Updated 4 years ago
- Equation Learner, a neural network approach to symbolic regression☆84Updated last year
- A general-purpose Python package for Koopman theory using deep learning.☆118Updated 3 months ago
- Tensorflow implementation of equation learner☆33Updated 5 years ago