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The Julia Security Advisory Database
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 Wrapper for C++ with Focus on Safety, Elegance, and Ease of Use
Julia library for plotting with plotly.js
GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem
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…
Solving differential equations in R using DifferentialEquations.jl and the SciML Scientific Machine Learning ecosystem
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equat…
Contributor's Guide on Collaborative Practices for Community Packages
Computational geometry with affine transformations