The Julia Language: A fresh approach to technical computing.
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Updated
Aug 2, 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 and scientific machine learning (SciML) components
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 machine learning framework
A Julia wrapper for TensorFlow
A generic, simple and fast implementation of Deepmind's AlphaZero algorithm.
Julia extension for Visual Studio Code
Learn Julia the hard way!
High level plotting on the GPU.
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!
Created by Jeff Bezanson, Stefan Karpinski, Viral B. Shah, Alan Edelman
Released February 14, 2012