danieleavitabile / nonlinear-dynamical-systems-course-tutorials
Tutorial for the course Nonlinear Dynamical Systems - Part 3
☆11Updated 2 years ago
Alternatives and similar repositories for nonlinear-dynamical-systems-course-tutorials:
Users that are interested in nonlinear-dynamical-systems-course-tutorials are comparing it to the libraries listed below
- Reduced-order modelling using an atlas of charts☆25Updated 2 years ago
- Python package for automated bifurcation analysis and parameter continuations, based on Auto-07p.☆22Updated last month
- Code for ResDMD: data-driven spectral properties of Koopman Operators☆35Updated last year
- This is material written for the masterclass Numerical and Analytical Methods for Spatially-Extended Neurobiological Networks, held at th…☆11Updated 10 months ago
- ☆14Updated 11 months ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆54Updated 2 years ago
- Code for "Inferring Latent Dynamics Underlying Neural Population Activity via Neural Differential Equations"☆9Updated 3 years ago
- A MATLAB package for computing the optimized dynamic mode decomposition (DMD)☆18Updated 6 years ago
- Exercises and examples for the latent dynamics workshop☆17Updated last year
- This repository contains lecture notes and codes for the course "Computational Methods for Data Science"☆51Updated 4 years ago
- Differentiable neuron simulations with biophysical detail on CPU, GPU, or TPU.☆85Updated this week
- Two Dimensional Fokker-Planck Solver using Matlab☆19Updated 5 years ago
- Python implementation of MODA, a numerical toolbox developed by the Nonlinear & Biomedical Physics group at Lancaster University.☆21Updated 2 years ago
- Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton☆25Updated 3 years ago
- kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order☆72Updated 3 months ago
- The framework for inferring Langevin dynamics from spike data☆30Updated 2 months ago
- pythorcn implementation of a vanilla RNN☆11Updated 3 years ago
- Neuronal Network Meanfield Toolbox - official documentation: https://nnmt.readthedocs.io☆13Updated last year
- MyST markdown paper template with actions☆13Updated 2 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
- Repository for Deterministic Particle Flow Control framework☆10Updated 2 years ago
- SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics☆142Updated 3 years ago
- Richard @rdgao & Michael @michaeldeistler: using neural network-based regression and density estimation for Generalized Bayesian Inferenc…☆10Updated last year
- Update PDEKoopman code to Tensorflow 2☆23Updated 3 years ago
- Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems☆107Updated 2 weeks ago
- Machine Learning with Echo State Networks, a scikit-learn compatible package.☆38Updated 3 months ago
- Python version of Rick Chartrand's algorithm for numerical differentiation of noisy data☆70Updated 4 years ago
- website of the CSE 5339 class on TDA and Neuroscience☆12Updated 2 years ago
- Codes for Linear and Nonlinear Disambiguation Optimization (LANDO)☆28Updated 3 years ago
- A generalised Gaussian process method for learning vector fields over non-Euclidean domains. Particularly useful for EEG data analysis an…☆23Updated 5 months ago