Popular GitHub Repositories for Dynamical Systems

Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

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

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

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

A Python Package For System Identification Using NARMAX Models

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

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

Neural Graph Differential Equations (Neural GDEs)

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

This repository contains code released by DiffEqML Research

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

Latent Differential Equations models in Julia.

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

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

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

Deep learning framework for model reduction of dynamical systems

Stable dynamical system (motion policy) learning using Euclideanizing flows

Reinforcement learning for batch bioprocess optimization (Computers & Chemical Engineering, 2020)

This repository aims to introduce students at the University of Osnabrück to Neurodynamics, allowing them to interactively investigate several neurodynamic processes using Jupyter Notebooks in Google Colab.