GridapDistributed Julia wrappers for Petsc library 🚧 work in progress 🚧

Julia package for connecting to the EodData.com XML Web Service.

Dithering Algorithms for Julia

Test files for EodData.jl

-

Colocalization metrics and distances for images or their sparse representations.

Implementation of an orthographic system for ancient Greek mathematical and scientific texts

An interface package for the JSMD ecosystem

A utility package for the JSMD ecosystem

Zlib-ng codecs for TranscodingStreams.jl.

Simple proof of concept for feature relevance bounds written in Julia.

Reader and writer for JSON metabolic models

CocktailDB API client for Julia.

-

Easy access to the content of JSON serializable objects.

Simple parser for EPOCH input files

Local barycentric Lagrange interpolation on equispace data

Mimic Javascript objects using Julian types

ESA Intepolation Files made easy.

An implementation of the Eternity II puzzle in Julia

Utility package for metrics, splitting and evaluate Collaborative Filtering algorithms

Package for generation of Julia gene regulatory network models

A R Calling interface for Julia

Freudenthal triangulation

JuliaBox utility methods

The command-line interface of Express.jl

Julia package that provides closed-form expressions for computing the expectation of a function

Tools to help manipulate Expr structs

-

Common galactic potential models as ModelingToolkit systems!

Monitoring CPU and MEMORY usage made easy.

Julia package for click maps and advanced interaction with graphics

Object storage that uses Google Cloud Storage as the storage back-end.

A Julia package that provides some convenience functions for working with character frequencies of CJK-like languages.

Free parameter infrastructure

Read microwave network scattering parameters from CITIfile-formatted files

Use URNs in markdown links.

A Julia package for using images cited by Cite2Urn, and available from an IIIF service.

Work with texts modelled as passages, documents and corpora canonically citable by CTS URN..

Deep-learning sliding window attention with circular boundary conditions. No tokenization, no patchify-ing.