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
- Computation of invariant manifolds in high-dimensional mechanics problems☆27Updated 2 years ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems☆149Updated 3 weeks ago
- A set of Python notebooks to introduce the fundamentals of numerical programming using extensive examples from engineering.☆35Updated 4 years ago
- A collection of codes and references for deep learning in fluid dynamics☆19Updated 4 years ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆59Updated 3 years ago
- Symbolic Identification of Non-linear Dynamics. The method generalizes the SINDy algorithm by combining sparse and genetic-programming-ba…☆81Updated 3 years ago
- ME 697 - Advanced Scientific Machine Learning☆25Updated 6 months ago
- SINDy (Sparse Identification of Nonlinear Dynamics) algorithms☆79Updated 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)☆59Updated 4 years ago
- Slides + Source Code + Data for an introductory course to NumPy, Matplotlib, SciPy, Scikit-Learn & TensorFlow Keras☆24Updated 3 years ago
- A Python library for training neural ODEs.☆25Updated 9 months ago
- Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python☆14Updated 5 years ago
- ME 539 - Introduction to Scientific Machine Learning☆122Updated last week
- This codes calculates the dimensionalized POD and uses SINDy from the PySINDy python package to build a data-driven model for it. The cod…☆21Updated 4 years ago
- Convolutional Solvers for Partial Differential Equations☆27Updated 5 years ago
- combination of sparse identification of nonlinear dynamics with Akaike information criteria☆16Updated 8 years ago
- ☆34Updated last year
- Learning Green's functions of partial differential equations with deep learning.☆72Updated last year
- Scientific Machine Learning Tutorials☆40Updated 3 years ago
- Tutorial on Gaussian Processes☆63Updated 5 years ago
- Code for ResDMD: data-driven spectral properties of Koopman Operators☆40Updated last year
- 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
- Simulation-Enabled Prediction, Inference, and Analysis: physics-informed statistical learning.☆35Updated 2 years ago
- Introduction to Data Science for Mechanical Engineers☆25Updated 3 weeks ago
- ☆34Updated 2 years ago
- a collection of modern sparse (regularized) linear regression algorithms.☆65Updated 5 years ago
- Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"☆28Updated 5 years ago