jbramburger / Data-Science-MethodsLinks
This repository contains lecture notes and codes for the course "Computational Methods for Data Science"
☆53Updated 4 years ago
Alternatives and similar repositories for Data-Science-Methods
Users that are interested in Data-Science-Methods are comparing it to the libraries listed below
Sorting:
- Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton☆26Updated 3 years ago
- Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems☆153Updated 2 months ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆60Updated 3 years ago
- A set of Python notebooks to introduce the fundamentals of numerical programming using extensive examples from engineering.☆36Updated 4 years ago
- combination of sparse identification of nonlinear dynamics with Akaike information criteria☆16Updated 8 years ago
- Computation of invariant manifolds in high-dimensional mechanics problems☆27Updated 2 years ago
- Update PDEKoopman code to Tensorflow 2☆23Updated 4 years ago
- Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)☆62Updated 4 years ago
- SINDy (Sparse Identification of Nonlinear Dynamics) algorithms☆79Updated 3 years ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- A collection of codes and references for deep learning in fluid dynamics☆19Updated 4 years ago
- IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Sy…☆158Updated 3 years ago
- ME 539 - Introduction to Scientific Machine Learning☆121Updated 3 weeks ago
- Symbolic Identification of Non-linear Dynamics. The method generalizes the SINDy algorithm by combining sparse and genetic-programming-ba…☆83Updated 3 years ago
- ☆34Updated last year
- Data Science for Dynamical System Course☆145Updated last month
- PySpectral is a Python package for solving the partial differential equation (PDE) of Burgers' equation in its deterministic and stochast…☆15Updated 2 years ago
- ME 697 - Advanced Scientific Machine Learning☆25Updated 7 months ago
- Code for ResDMD: data-driven spectral properties of Koopman Operators☆41Updated last year
- ☆42Updated 7 years ago
- Harvard Applied Math 205: Code Examples☆95Updated 3 years ago
- ☆19Updated 5 years ago
- Slides + Source Code + Data for an introductory course to NumPy, Matplotlib, SciPy, Scikit-Learn & TensorFlow Keras☆24Updated 3 years ago
- Introduction to Data Science for Mechanical Engineers☆25Updated last week
- ☆21Updated 5 years ago
- Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems☆30Updated 3 years ago
- Tutorial on Gaussian Processes☆63Updated 5 years ago
- PySensors is a Python package for sparse sensor placement☆108Updated 2 months ago
- Kernel methods for statistical modeling of dynamical systems☆26Updated 2 months ago
- Dynamic Mode Decomposition☆61Updated 8 years ago