scientific-machine-learning topic

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 with arbitrarily nested named components.

jonniedie

Designs for new Base array interface primitives, used widely through scientific machine learning (SciML) and other organizations

JuliaArrays

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

A library for scientific machine learning and physics-informed learning

lululxvi