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The Julia Language
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.
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- Created by Jeff Bezanson, Stefan Karpinski, Viral B. Shah, Alan Edelman
- Released February 14, 2012
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A general-purpose probabilistic programming system with programmable inference
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Julia suite for high-performance solvers of differential equations
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Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)
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Curated decibans of Julia programming language.
Powerful convenience for Julia visualizations and data analysis
CoCalc: Collaborative Calculation in the Cloud
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Package to call Python functions from the Julia language
Learn Julia the hard way!
The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。
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A Julia machine learning framework
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A Julia package for probability distributions and associated functions.
Julia extension for Visual Studio Code
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Minimal and clean examples of machine learning algorithms implemented in Julia
An optimized graphs package for the Julia programming language
Scientific reports/literate programming for Julia
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A Julia package for disciplined convex programming
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trace() throws UndefVarError; (not documented) tr() should be used instead
documentation good first issue help wantedsolution of exercises of the book "probabilistic robotics"
The ParallelAccelerator package, part of the High Performance Scripting project at Intel Labs
Learn about julia
- Organization
- JuliaLang
- Website
- julialang.org
- Wikipedia
- Wikipedia