jbramburger / Data-Science-Methods
This repository contains lecture notes and codes for the course "Computational Methods for Data Science"
☆51Updated 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
- Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton☆25Updated 3 years ago
- Update PDEKoopman code to Tensorflow 2☆23Updated 3 years ago
- Symbolic Identification of Non-linear Dynamics. The method generalizes the SINDy algorithm by combining sparse and genetic-programming-ba…☆75Updated 2 years ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆54Updated 2 years ago
- ME 697 - Advanced Scientific Machine Learning☆21Updated last week
- Package for fitting Gaussian Process Emulators to multiple output computer simulation results.☆47Updated last year
- A set of Python notebooks to introduce the fundamentals of numerical programming using extensive examples from engineering.☆32Updated 4 years ago
- Computation of invariant manifolds in high-dimensional mechanics problems☆23Updated last year
- A curated list of awesome Scientific Machine Learning (SciML) papers, resources and software☆50Updated last year
- Numerical differentiation with regularization, allowing differentiation of noisy data without amplifying noise. Uses total variation and …☆30Updated 6 years ago
- Dynamic mode decomposition with dependent structure among observables (Graph DMD)☆13Updated 5 years ago
- ☆14Updated 3 years ago
- ☆54Updated last year
- Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]☆32Updated last year
- Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems☆107Updated 2 weeks ago
- ☆31Updated 2 years ago
- combination of sparse identification of nonlinear dynamics with Akaike information criteria☆16Updated 7 years ago
- ☆41Updated 4 years ago
- Two Dimensional Fokker-Planck Solver using Matlab☆19Updated 5 years ago
- Code for ResDMD: data-driven spectral properties of Koopman Operators☆35Updated last year
- ☆31Updated last year
- Jupyter notebooks used in the course Numerical Analysis (MAST 334 and MATH 354) at Concordia University☆12Updated last year
- ☆21Updated 4 years ago
- Reduced-order modelling using an atlas of charts☆25Updated 2 years ago
- An RL-Gym for Challenge Problems in Data-Driven Modeling and Control of Fluid Dynamics.☆67Updated this week
- A MATLAB package for computing the optimized dynamic mode decomposition (DMD)☆18Updated 6 years ago
- A Hands-on Introduction to Physics-Informed Neural Networks☆18Updated this week
- A Python library for training neural ODEs.☆20Updated last month
- Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python☆14Updated 5 years ago
- Tutorial on Gaussian Processes☆62Updated 5 years ago