Convert julia objects to LaTeX equations, arrays or other environments.

Probabilistic programming via source rewriting

Julia support for native CUDA programming

Julia wrapper for the LLVM C API

A Julia wrapper for the CUDA driver API.

Fast, flexible, macro-based, Julia package for parsing command line arguments.

Julia-language port of the Sequencer algorithm, originally developed in python (https://github.com/dalya/Sequencer). The Sequencer finds trends in 1-dimensional data sets and has been used by its original authors for data analysis in astrophysics, seismology, image processing, etc. Contributions are welcome!

A Julia library that defines TimeFrame (essentially for resampling TimeSeries)

Collecting and maintaining crucial Julia package data, including Names, UUIDs, and download statistics, for enhanced accessibility, insight, and discoverability.

A Julia artificial neural network library which features high level abstraction as well as high performance.

Automatically mirror Julia package repositories

Julia package for descent elimination algorithms

📦 Lempel-Ziv Complexity, fast implementation in Julia, Open-Source (MIT) 👍 →

Model of Saccharina latissima (sugar kelp) based on Broch and Slagstad, 2012

Julia is a high-level, high-performance, dynamic programming language. While it is a general purpose language and can be used to write any application, many of its features are well-suited for high-performance numerical analysis and computational science.

The system exit codes as defined by <sysexits.h> for Julia

Julia wrapper for the OpenStreetMap Overpass API.

A siren's song to unwitting Pythonistas.. Also a semantic/functional clone of the homonymous library.

Julia is a high-level, high-performance, dynamic programming language. While it is a general purpose language and can be used to write any application, many of its features are well-suited for high-performance numerical analysis and computational science.