JuliaDynamics / NonlinearDynamicsComplexSystemsCourseLinks
Material for a full course on applied nonlinear dynamics, nonlinear timeseries analysis, and complex systems, in Julia
☆65Updated last year
Alternatives and similar repositories for NonlinearDynamicsComplexSystemsCourse
Users that are interested in NonlinearDynamicsComplexSystemsCourse are comparing it to the libraries listed below
Sorting:
- ☆91Updated last month
- CellMLToolkit.jl is a Julia library that connects CellML models to the Scientific Julia ecosystem.☆68Updated this week
- Latent Differential Equations models in Julia.☆38Updated 3 years ago
- Fast and automatic structural identifiability software for ODE systems☆126Updated last week
- Fast uncertainty quantification for scientific machine learning (SciML) and differential equations☆71Updated 3 weeks ago
- A julia implementation of the CMA Evolution Strategy for derivative-free optimization of potentially non-linear, non-convex or noisy func…☆32Updated 3 years ago
- A Julia package for generating timeseries surrogates☆56Updated 3 months ago
- Robust, Fast, and Parallel Global Sensitivity Analysis (GSA) in Julia☆63Updated last week
- A Julia package for Deep Backwards Stochastic Differential Equation (Deep BSDE) and Feynman-Kac methods to solve high-dimensional PDEs wi…☆84Updated last month
- ☆73Updated 3 years ago
- Bayesian optimization for Julia☆100Updated 3 months ago
- Find attractors (and their basins) of dynamical systems. Perform global continuation. Study nonlocal stability (or resilience). Also tipp…☆45Updated last week
- Introduction to Scientific Programming and Machine Learning with Julia☆52Updated last year
- Tools to generate and study moment equations for any chemical reaction network using various moment closure approximations☆47Updated last month
- Repository for B0M36SPJ☆92Updated last month
- Stochastic delay differential equations (SDDE) solvers for the SciML scientific machine learning ecosystem☆28Updated 2 weeks ago
- A collection of Jupyter notebooks with simple examples on how to use Makie☆38Updated 4 years ago
- Workshop materials for training in scientific computing and scientific machine learning☆39Updated 3 weeks ago
- Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions☆63Updated 3 weeks ago
- Simple particle filter implementation in Julia - works with POMDPs.jl models or others.☆47Updated 9 months ago
- Comparsion of Julia's GPU Kernel based ODE solvers with other open-source GPU ODE solvers☆28Updated 2 years ago
- Solve many kinds of least-squares and matrix-recovery problems☆33Updated 2 years ago
- High level functions for analyzing the output of simulations☆86Updated 3 weeks ago
- Estimators for probabilities, entropies, and other complexity measures derived from data in the context of nonlinear dynamics and complex…☆78Updated 3 weeks ago
- State estimation, smoothing and parameter estimation using Kalman and particle filters.☆148Updated last week
- Flexible filtering and smoothing in Julia☆75Updated 2 years ago
- learning state-space targets in dynamical systems☆28Updated last year
- A statistical toolbox for diffusion processes and stochastic differential equations. Named after the Brownian Bridge.☆112Updated 4 years ago
- Julia package for simulating Dynamics on Networks☆152Updated last week
- A Julia package to construct orthogonal polynomials, their quadrature rules, and use it with polynomial chaos expansions.☆124Updated last month