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

Official development repository for SUNDIALS - a SUite of Nonlinear and DIfferential/ALgebraic equation Solvers. Pull requests are welcome for bug fixes and minor changes.

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

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

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

开源Go语言数值算法库(An open numerical library purely based on Go programming language)

Self advection, external force and pressure solve to a velocity field represented by a MaC grid.

ODE integration using Taylor's method, and more, in Julia

Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing

A collection of numerical methods written in Nim

Python wrapper of LSODA (solving ODEs) which can be called from within numba functions.

Fixed and variable-step Runge-Kutta solvers in Modern Fortran

N body gravity attraction problem solver

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

Cloud-first free no-fee no-X uniX-like finite-element(ish) computational engineering tool

Configurable ODE/PDE solver

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

Numerical methods to solve ordinary differential equations in Rust.

[CVPR-2024, Highlight, Top 2.8%] Official implementation for "Fast ODE-based Sampling for Diffusion Models in Around 5 Steps".

Generalized Nonlinear Schrodringer Equation solver