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61 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

Diffrax ⭐ 1,131

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

Neuromancer ⭐ 621

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

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

Easy Neural Ode ⭐ 186

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

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

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

Scikit_tt ⭐ 78

Tensor Train Toolbox

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.

Rom Operator Inference Python3 ⭐ 54

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

Fasterneuraldiffeq ⭐ 52

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

Control Engineering With Python ⭐ 51

Control Engineering with Python

Neurallaplace ⭐ 48

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

Dlkoopman ⭐ 42

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

Modred main repository

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

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

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

Deep Early Warnings Pnas ⭐ 23

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

A Python Framework for Modeling and Analysis of Signaling Systems

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.

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.

Mongeampereflow ⭐ 20

Continuous-time gradient flow for generative modeling and variational inference

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

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/

Autolfads Tf2 ⭐ 16

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

Dynamical systems methods for RNA velocity analysis

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.

Dynamic Systems And Chaos ⭐ 14

📖 Dynamic Systems and Chaos

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

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

Stochastic Processes ⭐ 14

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

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

Type-hinted, simplified interface to `sympy` for solving engineering, science and maths problems.

Cortix is a Python library for network dynamics modeling and HPC simulation.

Pde Vae Pytorch ⭐ 11

PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning

Generalizing to New Physical Systems via Context-Informed Dynamics Model

🦋 hundun is a python library for the exploration of chaos.

Deep learning framework for model reduction of dynamical systems

Deterministicparticleflowcontrol ⭐ 8

Repository for Deterministic Particle Flow Control framework

Control Systems Analysis Framework - a framework to minimize the effort required to evaluate, implement, and verify controller design (classical and learning enabled) with respect to the system dynamics.

Contains the code for "BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning" by Boris Ivanovic, James Harrison, Apoorva Sharma, Mo Chen, Marco Pavone.

Python OpenCL numerical simulation

Pressio4py ⭐ 6

Python bindings to pressio

Python package for computing and visualizing Lagrangian Descriptors in Dynamical Systems

Differentiable_t1d ⭐ 5

Differentiable simulators for Type 1 Diabetes research in Jax and PyTorch

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