A modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automa…

This action builds a Julia package.

A standard library of components to model the world and beyond

Lightweight + fast physical quantities in Julia

Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization

A library of data interpolation and smoothing functions

High performance differential equation solvers for ordinary differential equations, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)

The Julia Language: A fresh approach to technical computing.

Universal neural differential equations with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods

Nestable containerization plugin for buildkite

High-performance and differentiation-enabled nonlinear solvers (Newton methods), bracketed rootfinding (bisection, Falsi), with sparsity and Newton-Krylov support.

Compile your Julia Package

The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems

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

Fast jacobian computation through sparsity exploitation and matrix coloring

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

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

System Identification toolbox for LTI systems, compatible with ControlSystems.jl

Automatic differentiation of Distributions using Tracker, Zygote, ForwardDiff and ReverseDiff

A general interface for symbolic indexing of SciML objects used in conjunction with Domain-Specific Languages

Benchmarks for scientific machine learning (SciML) software and differential equation solvers

Reduce time-to-first-execution of Julia code

A fast and modern CAS for a fast and modern language.

This action runs the tests in a Julia package.

Expression rewriting and simplification

Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software

Pkg - Package manager for the Julia programming language