The Julia Language: A fresh approach to technical computing.
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Updated
Jul 18, 2020 - 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.
The Julia Language: A fresh approach to technical computing.
Multi-language suite for high-performance solvers of differential equations
Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)
Koç University deep learning framework.
Powerful convenience for Julia visualizations and data analysis
Curated decibans of Julia programming language.
Package to call Python functions from the Julia language
CoCalc: Collaborative Calculation in the Cloud
In-memory tabular data in Julia
Intimate Affection Auditor
A Julia wrapper for TensorFlow
A Julia machine learning framework
A generic, simple and fast implementation of Deepmind's AlphaZero algorithm.
Learn Julia the hard way!
High level plotting on the GPU.
Julia extension for Visual Studio Code
solution of exercises of the book "probabilistic robotics"
Optimization functions for Julia
A Julia package for probability distributions and associated functions.
An optimized graphs package for the Julia programming language
Learn Julia via interactive tutorials!
Scientific reports/literate programming for Julia
Created by Jeff Bezanson, Stefan Karpinski, Viral B. Shah, Alan Edelman
Released February 14, 2012