The Julia Programming Language

Forward Mode Automatic Differentiation for Julia

Create new Julia packages, the easy way

High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learni…

An extensible framework for geospatial data science and geostatistical modeling fully written in Julia

Utility library for working with CSV and other delimited files in the Julia programming language

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…

Polynomial manipulations in Julia

This package provides a selection of useful "scripts" for the project maintainer. Useful for automated changes to large collections of packages.