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#

ordinary-differential-equations

Here are 246 public repositories matching this topic...

An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations

  • UpdatedNov 26, 2025
  • Julia

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

  • UpdatedSep 13, 2024

Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

  • UpdatedNov 24, 2025
  • Julia

High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)

  • UpdatedNov 27, 2025
  • Julia

Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization

  • UpdatedOct 17, 2025
  • Python

VIP cheatsheets for Stanford's CME 102 Ordinary Differential Equations for Engineers

  • UpdatedSep 9, 2020

Tensorflow implementation of Ordinary Differential Equation Solvers with full GPU support

  • UpdatedAug 26, 2020
  • Python
p4pdesNumerical-Analysis-Python

Python notebooks for Numerical Analysis

  • UpdatedJun 23, 2025
  • Jupyter Notebook

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

  • UpdatedSep 5, 2025
  • R

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.

  • UpdatedJun 26, 2025
  • Fortran

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