Multi-language suite for high-performance solvers of differential equati...
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differentia...
Pre-built implicit layer architectures with O(1) backprop, GPUs, and sti...
Tutorials for doing scientific machine learning (SciML) and high-perform...
High performance ordinary differential equation (ODE) and differential-a...
Solving differential equations in Python using DifferentialEquations.jl ...
A component of the DiffEq ecosystem for enabling sensitivity analysis fo...
The lightweight Base library for shared types and functionality for defi...
Scientific machine learning (SciML) benchmarks, AI for science, and (dif...
Linear operators for discretizations of differential equations and scien...
Arrays with arbitrarily nested named components.
GPU-acceleration routines for DifferentialEquations.jl and the broader S...
Solvers for stochastic differential equations which connect with the sci...
Julia interface to Sundials, including a nonlinear solver (KINSOL), ODE'...
The Base interface of the SciML ecosystem