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Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equat…
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 a…
Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable i…
Julia library for plotting with plotly.js
GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem
Contributor's Guide on Collaborative Practices for Community Packages
Computational geometry with affine transformations
The Julia Security Advisory Database