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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 equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.
Curated decibans of Julia programming language.
Layout algorithms for graphs and trees in pure Julia.
Graph data structures with multiple heterogeneous metadata for Graphs.jl.
Julia interface to WebGL using Three-js custom elements and Patchwork.jl
A client interface to read from and write to the TypeDB Knowledge Graph
A Julia GraphQL client for seamless integration with a server
A flexible Julia toolkit for high-dimensional cellular profiles
A library that wraps OpenSSL, but also has pure Julia implementations for reference.
A Julia wrapper for the Smile C++ Structural Modeling, Inference, and Learning Engine for Bayesian & Influence Networks