IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz
☆1,013Jan 21, 2024Updated 2 years ago
Alternatives and similar repositories for databook_python
Users that are interested in databook_python are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Matlab files with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems…☆328Feb 9, 2024Updated 2 years ago
- A package for the sparse identification of nonlinear dynamical systems from data☆1,850Jun 10, 2026Updated 2 weeks ago
- IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Sy…☆168Jan 24, 2022Updated 4 years ago
- PySensors is a Python package for sparse sensor placement☆119Feb 17, 2026Updated 4 months ago
- A package for computing data-driven approximations to the Koopman operator.☆435Jan 22, 2026Updated 5 months 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.
- A collection of codes and references for deep learning in fluid dynamics☆19Jun 10, 2021Updated 5 years ago
- 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
- SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics☆170Aug 3, 2021Updated 4 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
- Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations☆5,978Feb 11, 2026Updated 4 months ago
- Source code for deep learning-based reduced order models for nonlinear time-dependent parametrized PDEs. Available on doi.org/10.1007/s10…☆28Sep 7, 2023Updated 2 years ago
- Python Dynamic Mode Decomposition☆1,240Dec 19, 2025Updated 6 months ago
- Python library for analysis of time series data including dimensionality reduction, clustering, and Markov model estimation☆873Updated this week
- An RL-Gym for Challenge Problems in Data-Driven Modeling and Control of Fluid Dynamics.☆126May 12, 2026Updated last month
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric …☆1,345May 9, 2026Updated last month
- A package for the sparse identification of nonlinear dynamical systems from data☆10Mar 3, 2020Updated 6 years ago
- ☆11Mar 31, 2021Updated 5 years ago
- Open-source code used in our paper titled 'Finite-Horizon, Energy-Optimal Trajectories in Unsteady Flows'☆15Oct 11, 2021Updated 4 years ago
- A library of tools for computing variants of Dynamic Mode Decomposition☆50Jul 11, 2017Updated 8 years ago
- A library for scientific machine learning and physics-informed learning☆4,266Jun 24, 2026Updated last week
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆50Jul 23, 2020Updated 5 years ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆58May 20, 2022Updated 4 years ago
- ☆280Nov 4, 2022Updated 3 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.
- Koopman Reduced-Order Nonlinear Identification and Control☆93Apr 14, 2020Updated 6 years ago
- Linear and non-linear spectral forecasting algorithms☆138Feb 12, 2021Updated 5 years ago
- Spectral Methods in Python☆60Feb 2, 2026Updated 4 months ago
- neural networks to learn Koopman eigenfunctions☆483Mar 22, 2024Updated 2 years ago
- All the handwritten notes 📝 and source code files 🖥️ used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.co…☆1,181May 22, 2026Updated last month
- A differentiable PDE solving framework for machine learning☆1,897Jun 22, 2026Updated last week
- A data-driven framework for control of nonlinear flows with Koopman Model Predictive Control☆10May 21, 2018Updated 8 years ago
- Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.☆84Apr 30, 2026Updated 2 months ago
- Welcome to the Physics-based Deep Learning Book v0.3 - the GenAI Edition