Core algorithms and data for X-ray microanalysis calculations

A 16bit logarithmic fixed-point number format

Construct a mapping from the unit circle to a closed polygon.

Dynamical information enables inference of gene regulation at single-cell scale

Newick formatted (phylogenetic) trees

Trust-region methods with partitioned quasi-Newton approximations

Properties in Julia made easy

Property dictionaries with support for deep merging

Connecting MLJ and MLFlow

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Progressive alignment scripts for protein sequences

A Julia package to read and write MMTF files

First-person 3D reinforcement learning environments in Julia

A Julia implementation of octonions

Fast, inlined execution of arrays of functions

Estimating the fractal dimension of timeseries or multidimensional datasets

Julia implementation of various electron-correlation methods (main focus on coupled cluster methods).

An optimal power flow tool for perfoming CBA analysis of AC/DC networks

This package contains a data structure that wraps a matrix of matrices or factorizations and acts like the matrix resulting from concatenating the input matrices without allocating further memory.

A thread-safe non-allocating circular RingBuffer type

The (not) Discord.jl fork

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Binding for bwa

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StaticArray style ranges

A Julia wrapper for the knockoutjs library

Pure Julia implementation of the Knuth-Bendix completion (focused primarily on groups and monoids)

A lightweight web server written in Julia

Various correlation functions for 1,2, and 3 dimensional arrays

Implements Halton Sequences and Halton Draws for Julia

Julia implementation of the Earth4All model using the WorldDynamics framework.

Using FITS files made easier for Julia

Preallocated/Inplace linear algebra operations in julia

Provide pointing calculations for satellites with multiple detectors.

DistributedHyperOpt.jl is a package similar to HyperOpt.jl, but explicitly focusing on distributed (multi-processing) hyperparameter optimization by design.

Finding peaks in 1-D data

Hilbert Space Filling Curve for Julia

A D4M module for Julia. D4M was developed in MATLAB by Dr Jeremy Kepner.

Correctly-rounded mathematical functions for Julia

A julia interface for accessing the ExodusII data format