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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.
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 and automated transformations of differential equations
21st century AD
PhyloNetworks: a julia package with utilities for phylogenetic networks
This library generates graph layouts using the TikZ graph layout package.
Graph data structures with multiple heterogeneous metadata for Graphs.jl.
Working with time-dependent networks in Julia
A Julia GraphQL client for seamless integration with a server
A flexible Julia toolkit for high-dimensional cellular profiles