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dynamical-systems x

155 search results found

Differentialequations.jl ⭐ 2,689

Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.

Torchsde ⭐ 1,357

Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

Pysindy ⭐ 1,188

A package for the sparse identification of nonlinear dynamical systems from data

Torchdyn ⭐ 1,187

A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods

Awesome Neural Ode ⭐ 1,145

A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.

Diffrax ⭐ 1,131

Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/

Dsge.jl ⭐ 831

Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)

Dynamicalsystems.jl ⭐ 783

Award winning software library for nonlinear dynamics and nonlinear timeseries analysis

Neuromancer ⭐ 621

Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.

Controlsystems.jl ⭐ 472

A Control Systems Toolbox for Julia

Brainpy ⭐ 438

Brain Dynamics Programming in Python

Dynamo Release ⭐ 383

Inclusive model of expression dynamics with conventional or metabolic labeling based scRNA-seq / multiomics, vector field reconstruction and differential geometry analyses

Torchcde ⭐ 361

Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.

Python package for solving partial differential equations using finite differences.

Neuralcde ⭐ 352

Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)

Sysidentpy ⭐ 270

A Python Package For System Identification Using NARMAX Models

Componentarrays.jl ⭐ 258

Arrays with arbitrarily nested named components.

Easy Neural Ode ⭐ 186

Code for the paper "Learning Differential Equations that are Easy to Solve"

Nonlineardynamicstextbook ⭐ 184

Nonlinear Dynamics: A concise introduction interlaced with code

Chaostools.jl ⭐ 184

Tools for the exploration of chaos and nonlinear dynamics

Reachabilityanalysis.jl ⭐ 184

Compute reachable states of dynamical systems

Simulate dynamic systems expressed in block diagram form using Python

Pontryagin Differentiable Programming ⭐ 123

A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, control policy, or/and optimal trajectory in a control system.

Pysimcoder ⭐ 115

Block diagram editor and real time code generator for Python

Controlsystemidentification.jl ⭐ 114

System Identification toolbox for LTI systems, compatible with ControlSystems.jl

Auto 07p ⭐ 110

AUTO is a publicly available software for continuation and bifurcation problems in ordinary differential equations originally written in 1980 and widely used in the dynamical systems community.

Lowlevelparticlefilters.jl ⭐ 105

State estimation, smoothing and parameter estimation using Kalman and particle filters.

R package for statistical inference using partially observed Markov processes

Neural Graph Differential Equations (Neural GDEs)

A Python package for spectral proper orthogonal decomposition (SPOD).

Causal.jl ⭐ 80

Causal.jl - A modeling and simulation framework adopting causal modeling approach.

A framework for generalised dynamical systems modelling & simulation (inspired by and compatible with cadCAD.org)

Scikit_tt ⭐ 78

Tensor Train Toolbox

Firmware, hardware and documentation for my autonomous quad copter project

Python Mysql Pool ⭐ 71

If you use python and mysql, maybe one day you want it. base on pure mysql-connector ,auto manage connection and support 【no pool connect 、fixed 、dynamic pool】. Now used inBaidu poi off-line calculation system . ------------------- Open your favorite Terminal and run the modlue

Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-implemented models belong to the family of neural population models.

Keymaerax Release ⭐ 65

KeYmaera X: An aXiomatic Tactical Theorem Prover for Hybrid Systems (release)

Awesome Nn Optimization ⭐ 65

Awesome list for Neural Network Optimization methods.

A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method

Rom Operator Inference Python3 ⭐ 54

Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.

Sdetools ⭐ 53

Matlab Toolbox for the Numerical Solution of Stochastic Differential Equations

Fasterneuraldiffeq ⭐ 52

Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)

Configurable ODE/PDE solver

Control Engineering With Python ⭐ 51

Control Engineering with Python

Koopman operator identification library in Python, compatible with `scikit-learn`

Reachability.jl ⭐ 50

Reachability and Safety of Nondeterministic Dynamical Systems

Dynamicalsystemsbase.jl ⭐ 50

Definition of dynamical systems and integrators for DynamicalSystems.jl

Neurallaplace ⭐ 48

Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.

Diffeqml Research ⭐ 48

This repository contains code released by DiffEqML Research

Dlkoopman ⭐ 42

A general-purpose Python package for Koopman theory using deep learning.

Modred main repository

Mathematicalsystems.jl ⭐ 42

Systems definitions in Julia

Rigidbodysim.jl ⭐ 41

Simulation and visualization of articulated rigid body systems in Julia

Datadrivendynsyst ⭐ 40

Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems

Macromodelling.jl ⭐ 39

Macros and functions to work with DSGE models.

core C++ library

RaPId (a recursive acronym for "Rapid Parameter Identification") utilizes different optimization and simulation technologies to provide a framework for model validation and calibration of any kind of dynamical systems, but specifically catered to power systems.

Dynamical Systems With Applications Using Python ⭐ 37

Source code for 'Dynamical Systems with Applications Using Python' by Stephen Lynch

Time- and space-continuous neural PDE forecaster based on INRs and ODEs

A multi-body simulation software

Dynamical System Identification using python incorporating numerous powerful deep learning methods. (deepSI = deep System Identification)

Lfads Torch ⭐ 34

A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.

Latentdiffeq.jl ⭐ 33

Latent Differential Equations models in Julia.

sssMOR - Sparse State-Space and Model Order Reduction Toolbox

Deep_learning_for_dynamical_systems ⭐ 31

Pydiffgame ⭐ 29

PyDiffGame is a Python implementation of a Nash Equilibrium solution to Differential Games, based on a reduction of Game Hamilton-Bellman-Jacobi (GHJB) equations to Game Algebraic and Differential Riccati equations, associated with Multi-Objective Dynamical Control Systems

Nengolib ⭐ 28

Nengo library of additional extensions

Autokoopman ⭐ 27

AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.

Morphosymm ⭐ 26

Tools for exploiting Discrete Morphological Symmetries (DMS) in rigid body dynamics using Equivariant Neural Networks

Parameterestimation.jl ⭐ 24

ParameterEstimation.jl is a Julia package for estimating parameters and initial conditions of ODE models given measurement data.

Bifurcationinference.jl ⭐ 23

learning state-space targets in dynamical systems

A Python Framework for Modeling and Analysis of Signaling Systems

Ssmlearn ⭐ 23

Data-driven reduced order modeling for nonlinear dynamical systems

Deep Early Warnings Pnas ⭐ 23

Repository to accompany the publication 'Deep learning for early warning signals of tipping points', PNAS (2021)

Machine Learning Of Dynamical Systems Using Recurrent Neural Networks ⭐ 22

This project deals with learning to reproduce the input-output behavior of state-space models using recurrent neural networks and the Keras machine learning toolbox.

egtplot: A python package for 3-Strategy Evolutionary Games

Official code for Long Expressive Memory (ICLR 2022, Spotlight)

Control Libraries ⭐ 21

A collection of library modules to facilitate the creation of full control loop algorithms, including state representation, motion planning, kinematics, dynamics and control.

AI4Science: Python/Matlab implementation of online and window dynamic mode decomposition (Online DMD and Window DMD)

Mongeampereflow ⭐ 20

Continuous-time gradient flow for generative modeling and variational inference

Control Theory Course ⭐ 20

Lecture notes and exercises for control theory course

Simulationlogs.jl ⭐ 19

Signal logging and scoping for DifferentialEquations.jl simulations.

Variational_gradient_matching_for_dynamical_systems ⭐ 18

Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"

Factorgraph.jl ⭐ 17

The FactorGraph package provides the set of different functions to perform inference over the factor graph with continuous or discrete random variables using the belief propagation algorithm.

Package for the data-driven representation of non-linear dynamics over manifolds based on a statistical distribution of local phase portrait features. Includes specific example on dynamical systems, synthetic- and real neural datasets. https://agosztolai.github.io/MARBLE/

Chaotic Maps ⭐ 17

Simple implementations of chaotic maps in Processing

Algebraicagents.jl ⭐ 17

A lightweight framework to enable hierarchical, heterogeneous dynamical systems co-integration. Batteries included!

Autolfads Tf2 ⭐ 16

A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.

Geometric Dynamic Variational Autoencoders (GD-VAEs) for learning embedding maps for nonlinear dynamics into general latent spaces. This includes methods for standard latent spaces or manifold latent spaces with specified geometry and topology. The manifold latent spaces can be based on analytic expressions or general point cloud representations.

Dynamical systems methods for RNA velocity analysis

AI4Science: Efficient data-driven Online Model Learning (OML) / system identification and control

Dahlia is a blog cms, developed based on Django Framework. Demo username: devadmin and password: Ninjacoder**08

Dynamic Systems And Chaos ⭐ 14

📖 Dynamic Systems and Chaos

Flightsims.jl ⭐ 14

A general purpose numerical simulator supporting nested dynamical systems and a convenient macro-based data logger.

Datafold ⭐ 14

Extended Dynamic Mode Decomposition to extract analytical and predictive from time series data (with dictionary learning, control and streaming options) . Diffusion Maps to extract geometric description from data.

Python package for automated bifurcation analysis and parameter continuations, based on Auto-07p.

Clf Cbf Qp ⭐ 14

Matlab class/functions to simulate a system implementing a control Lyapunov-control barrier function quadratic program controller.

Criticaltransitions.jl ⭐ 14

A Julia package for critical transitions in dynamical systems with time-dependent forcing

Stochastic Processes ⭐ 14

My book: Gentle Introduction to Chaotic Dynamical Systems. Includes stochastic dynamical systems and statistical properties of numeration systems in any dimension.

Controllio ⭐ 14

Web app for experimenting with control systems online

1-100 of 155 search results

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