A port of PyMieScatt to Julia.
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Updated
Oct 23, 2017
A port of PyMieScatt to Julia.
A Julia artificial neural network library which features high level abstraction as well as high performance.
Julia package for descent elimination algorithms
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.
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.
Julia basic Program and Intermediate Programs Available in this Repository
Literate programming approach for LAR in Julia, source of https://github.com/cvdlab/LARLIB.jl
a genomic interval analyzer using julia
Collecting and maintaining crucial Julia package data, including Names, UUIDs, and download statistics, for enhanced accessibility, insight, and discoverability.
Julia Optimal Transport Library
The system exit codes as defined by <sysexits.h> for Julia
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!
Utility function for ListDef in MetaModelica.jl
Model of Saccharina latissima (sugar kelp) based on Broch and Slagstad, 2012
Fast, flexible, macro-based, Julia package for parsing command line arguments.
Particle Swarm Optimization library in Julia
📦 Lempel-Ziv Complexity, fast implementation in Julia, Open-Source (MIT) 👍 →
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