Top 39 ode open source projects

Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components

Code for Tensorflow Machine Learning Cookbook

Owl's Differential Equation Solvers

The SciML Scientific Machine Learning Software Organization Website

The SBML Test Suite is a conformance testing system. It allows developers and users to test the degree and correctness of the SBML support provided in a software package.

library of C++ functions that support applications of Stan in Pharmacometrics

Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions

ODE system solver made simple. For IVPs (initial value problems).

Adaptive solver for stiff systems of ODEs using semi-implicit Runge-Kutta method of third order

Simulate from ODE-based population PK/PD and QSP models in R

Deep Developmental Reinforcement Learning

irrlamb is a 3D game that probably involves a lot of physics and frustrating gameplay.

Benchmarks for scientific machine learning (SciML) software and differential equation solvers

Fortran Object-Oriented Differential-equations Integration Environment, FOODIE

GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem

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

Modern Fortran implementation of the DDEABM Adams-Bashforth algorithm

C++ library for ODE integration via Taylor's method and LLVM

A library for building differential equations arising from physical problems for physics-informed and scientific machine learning (SciML)

A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, and more for ODEs, SDEs, DDEs, DAEs, etc.

SBML differential equation and chemical reaction model (Gillespie simulations) for Julia's SciML ModelingToolkit

Advanced Multilanguage Interface to CVODES and IDAS

PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks

Benchmarking, testing, and development tools for differential equations and scientific machine learning (SciML)

A library of useful callbacks for hybrid scientific machine learning (SciML) with augmented differential equation solvers

Parameter estimation for dynamical models using high-performance computing, batch and mini-batch optimizers, and dynamic load balancing.

Bulirsch-Stoer integration of systems of ordinary differential equations in JavaScript

Julia interface to Sundials, including a nonlinear solver (KINSOL), ODE's (CVODE and ARKODE), and DAE's (IDA) in a SciML scientific machine learning enabled manner

CellMLToolkit.jl is a Julia library that connects CellML models to the Scientific Julia ecosystem.

Solving differential equations in R using DifferentialEquations.jl and the SciML Scientific Machine Learning ecosystem

Simulate PK-PD models defined as ODE systems

Python library for ODE integration via Taylor's method and LLVM

A simple but powerful C++ DAE (Differential Algebraic Equation) solver

Fast uncertainty quantification for scientific machine learning (SciML) and differential equations

Work in Progress to refactor and modernize the ODEPACK Library

A framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations

Files for my Nonlinear Systems and Controls class.

Fortran Library for numerical INTegration of differential equations

Robust, Fast, and Parallel Global Sensitivity Analysis (GSA) in Julia