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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…
Port of the book Think Python to the Julia programming language
Julia solvers for systems of nonlinear equations and mixed complementarity problems
Plots in Julia using the PGFPlots LaTeX package
Simple, fast, column-based storage for data analysis in Julia
Multivariate polynomials implementation of commutative and non-commutative variables
Tools for large and sparse least-squares problems