A macro to play a bell after running a command in a Jupyter notebook.

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Helps manage computational experiments in Julia Jupyter notebooks

Empirical distribution fitting for Rasters.jl.

Support for orthogonal polynomial-based spaces in ApproxFun

Specification and efficient samplers for several random matrix distributions, focusing on spiked models in real-valued data.

[WIP] Random Fourier Feature approximations for KernelFunctions.jl

Basic data dictionary functionalities of IMAS.jl

Data API for CERN Indico meeting schedule platform. Reference: https://gitlab.cern.ch/indicomb/indicomb

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UDP Servers for Toolips.jl

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Julia interface to the large (IMDB) movie review corpus for sentiment classification

Physics-informed Machine Learning

Stochastic kinetic scheme for uncertainty quantification

A pure Julia package for querying and downloading Landsat data.

Invariant Causal Prediction in pure Julia

Inverse distance estimation solver for the GeoStats.jl framework

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Julia binding to kwant

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Simulate Machine Learning-based Business Processes in Julia

Julia package for opening and analyzing electrophysiological data

Interpolate HTML files with Toolips Components and values.

A standalone machine learning metrics library developed for Knet

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Support for spaces with singularities in ApproxFun

The original version of https://github.com/JuliaImages/QRCoders.jl written by jiegillet

JUDI parallelism with Azure batch

Makie recpies for visualising KmerAnalysis types and results.

A Julia package for Bayesian quantum state tomography

Easy Base64 images for Toolips.jl

Calculate measures for Discriminative Lexicon models developed with JudiLing.

A Julia wrapper for Python's pylustrator

Geospatial Visualization in Julia via Kepler.gl

A Julia interface to the Open Islamic Texts Initiative (OpenITI) data

Bayesian optimal design of experiments in Julia. Note: This is just a mirror of the main branch for the Julia General registry. Development happens at sourcehut. Please report any issues over there.

A Julia package for measuring observables from a time series generated by Monte Carlo sampling methods.

This julia package addresses the membership problem for local polytopes: it constructs Bell inequalities and local models in multipartite Bell scenarios with binary outcomes.