SciML Open Source Scientific Machine Learning

Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equation...

SciML

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...

SciML

Arrays which also have a label for each element for easy scientific machine learning (SciML)

SciML

Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)

SciML

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

SciML

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, S...

SciML

Julia interface to Sundials, including a nonlinear solver (KINSOL), ODE's (CVODE and ARKODE), and DAE's (IDA) in a SciML scientific machine learning enabled manner

SciML

DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia

SciML

Tools for easily handling objects like arrays of arrays and deeper nestings in scientific machine learning (SciML) and other applications

SciML

Solvers for stochastic differential equations which connect with the scientific machine learning (SciML) ecosystem

SciML