ode
Here are 468 public repositories matching this topic...
Language:All
Sort:Most stars
Code for Tensorflow Machine Learning Cookbook
- Updated
May 23, 2024 - Jupyter Notebook
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.
- Updated
Oct 23, 2025 - Julia
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
- Updated
Nov 6, 2025 - Julia
A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.
- Updated
Sep 13, 2024
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
- Updated
Nov 3, 2025 - Julia
A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.
- Updated
Jul 27, 2025 - Python
Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
- Updated
Aug 12, 2025 - CSS
High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)
- Updated
Oct 29, 2025 - Julia
Convert julia objects to LaTeX equations, arrays or other environments.
- Updated
Sep 4, 2025 - Julia
Physics-Informed Neural networks for Advanced modeling
- Updated
Nov 6, 2025 - Python
Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization
- Updated
Oct 17, 2025 - Python
Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.
- Updated
Oct 27, 2025 - Julia
Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization
- Updated
Oct 6, 2025 - Julia
A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, adjoint methods, and more for ODEs, SDEs, DDEs, DAEs, etc.
- Updated
Oct 14, 2025 - Julia
The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
- Updated
Sep 17, 2025 - Julia
Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R
- Updated
Nov 6, 2025 - MATLAB
Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem
- Updated
Oct 14, 2025 - Julia
PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks
- Updated
Feb 9, 2024 - Jupyter Notebook
GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem
- Updated
Nov 3, 2025 - Julia
Code for the paper "Learning Differential Equations that are Easy to Solve"
- Updated
Nov 25, 2021 - Python
Improve this page
Add a description, image, and links to theode topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with theode topic, visit your repo's landing page and select "manage topics."