Template for Julia Programming Language packages using the copier engine.
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Updated
Jun 8, 2024 - Julia
Julia is a high-level dynamic programming language designed to address the needs of high-performance numerical analysis and computational science. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library.
Template for Julia Programming Language packages using the copier engine.
Quantum Toolbox in Julia
The Julia Programming Language
Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.
Extensible spacetime agnostic general relativistic ray-tracing (GRRT).
Library for finding the roots of a function using interval arithmetic
Self-contained, Well-Tested, Well-Documented Analytical Solutions of Quantum Mechanical Equations
Kakoune config for the curious
Beautiful and flexible vizualizations of high dimensional data
A library of modern Fortran modules for nonlinear optimization
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
Scalable symbolic-numeric set computations in Julia
Library for validated numerics using interval arithmetic
Implementation of polylogarithms in Julia
High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)
Bayesian Statistics using Julia and Turing
Created by Jeff Bezanson, Stefan Karpinski, Viral B. Shah, Alan Edelman
Released February 14, 2012