MachineLearningControl / OpenMLC-PythonLinks
☆15Updated 8 years ago
Alternatives and similar repositories for OpenMLC-Python
Users that are interested in OpenMLC-Python are comparing it to the libraries listed below
Sorting:
- Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)☆57Updated 4 years ago
- PySensors is a Python package for sparse sensor placement☆99Updated 3 weeks ago
- ☆28Updated 5 years ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems☆63Updated 5 years ago
- Repository from the paper https://arxiv.org/abs/1908.04127, to train Deep Reinforcement Learning in Fluid Mechanics Setup.☆66Updated 4 years ago
- SINDy (Sparse Identification of Nonlinear Dynamics) algorithms☆79Updated 2 years ago
- ☆41Updated 7 years ago
- Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton☆26Updated 3 years ago
- ☆42Updated 5 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆49Updated 5 years ago
- mathLab mirror of Python Dynamic Mode Decomposition☆104Updated 6 months ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆56Updated 3 years ago
- IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Sy…☆156Updated 3 years ago
- Computation of invariant manifolds in high-dimensional mechanics problems☆25Updated 2 years ago
- AI4Science: Python/Matlab implementation of online and window dynamic mode decomposition (Online DMD and Window DMD)☆44Updated 2 years ago
- SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics☆152Updated 4 years ago
- Update PDEKoopman code to Tensorflow 2☆23Updated 4 years ago
- MATLAB codes for physics-informed dynamic mode decomposition (piDMD)☆158Updated last year
- ☆116Updated 6 years ago
- Gaussian process-based interpretable latent space dynamics identification through deep autoencoder☆35Updated last week
- To address some of the failure modes in training of physics informed neural networks, a Lagrangian architecture is designed to conform to…☆49Updated 2 years ago
- ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis☆55Updated 2 years ago
- Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems☆30Updated 3 years ago
- Multi Fidelity Monte Carlo☆24Updated 5 years ago
- This repository contains lecture notes and codes for the course "Computational Methods for Data Science"☆53Updated 4 years ago
- Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems☆138Updated last month
- A Deep Learning based Approach to Reduced Order Modeling for Turbulent Flow Control using LSTM Neural Networks. arXiv:1804.09269☆43Updated 7 years ago
- combination of sparse identification of nonlinear dynamics with Akaike information criteria☆16Updated 8 years ago
- ME 539 - Introduction to Scientific Machine Learning☆122Updated 2 weeks ago