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.

A Python native dynamical system simulation framework in the block diagram paradigm.

An open-source toolbox for fast sampling of diffusion models. Official implementations of our works published in ICML, NeurIPS, CVPR, J. Stat. Mech.

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

ODE solver library in Rust

Computational Cell Biology Simulator & In Silico Drug Testing Platform — C++20/Metal, Novak-Tyson CDK ODE, Fick Diffusion, PhysiPKPD Pharmacodynamics

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

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

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

A collection of numerical methods written in Nim

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

N body gravity attraction problem solver

Numerical methods to solve ordinary differential equations in Rust.