dynamicslab / databook_pythonLinks
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
β919Updated last year
Alternatives and similar repositories for databook_python
Users that are interested in databook_python are comparing it to the libraries listed below
Sorting:
- All the handwritten notes π and source code files π₯οΈ used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.coβ¦β1,036Updated 2 months ago
- Code accompanying my blog post: So, what is a physics-informed neural network?β614Updated 3 years ago
- Matlab files with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systemsβ¦β295Updated last year
- A package for the sparse identification of nonlinear dynamical systems from dataβ1,620Updated last week
- IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Syβ¦β150Updated 3 years ago
- β362Updated 3 years ago
- Welcome to the Physics-based Deep Learning Book v0.3 - the GenAI Editionβ1,154Updated this week
- β203Updated last year
- Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric β¦β1,170Updated last week
- Introductory workshop on PINNs using the harmonic oscillatorβ126Updated 3 months ago
- A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, iβ¦β753Updated last week
- Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systemsβ128Updated last week
- A package for computing data-driven approximations to the Koopman operator.β373Updated 9 months ago
- Python Dynamic Mode Decompositionβ1,015Updated last week
- A differentiable PDE solving framework for machine learningβ1,648Updated this week
- Physics-Informed Neural networks for Advanced modelingβ540Updated last week
- ME 539 - Introduction to Scientific Machine Learningβ121Updated 2 weeks ago
- ETH ZΓΌrich Deep Learning in Scientific Computing Master's course 2023β117Updated last year
- Source code for 'Dynamical Systems with Applications Using Python' by Stephen Lynchβ154Updated 7 years ago
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNsβ¦β437Updated last month
- Lagrangian Neural Networksβ504Updated last year
- OSS library that implements deep learning methods for partial differential equations and much moreβ449Updated 3 weeks ago
- SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamicsβ151Updated 4 years ago
- Python notebooks for Numerical Analysisβ149Updated last month
- β327Updated 3 months ago
- β190Updated 2 years ago
- PDEBench: An Extensive Benchmark for Scientific Machine Learningβ941Updated 2 months ago
- A package for the sparse identification of nonlinear dynamical systems from dataβ11Updated 5 years ago
- Python package for solving partial differential equations using finite differences.β445Updated 3 weeks ago
- neural networks to learn Koopman eigenfunctionsβ421Updated last year