Few special functions in Julia. Includes Clausen function, Coulomb wave functions, Debye function, Fresnel functions, Struve function, Hypergeometric functions, Confluent hypergeometric functions, Fermi-Dirac

Providing probability distributions and non-negative measures over finite sets, whose elements are labelled.

Implementation fo ray transfer matrix analysis for optical beams

Drift diffusion simulator for semiconductor devices

The Biochemical Algorithms Library in Julia

Julia GARCH package

Julia package for association rule learning

A collection of methods for manipulating various well-known types of basis functions and recombining them into more general dictionaries

Experimental features for Flux.jl

Julia implementation of elliptical slice sampling.

Tools to perform group contribution (GC) identification, given the SMILES of a compound

Multivariate cumulants of any order

Empirical probability distributions in Julia

A data-driven model fitting framework

Generate audiory stimuli

Julia package with several functions to train and analyze Autoencoder-based neural networks

A library for machine learning datasets on graph

Julia dashboard for analysis of cryptocurrency market data

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Organize Scanning Probe Microscopy (SPM, STM, AFM) Images and Spectra.

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EHT Image domain analysis through template matching.

Numerical integration methods for structural dynamics problems

A generic and fast solver of mode-coupling theory-like integrodifferential equations

Parsing and generation of 3D geometries for robot mechanisms in Julia

Julia implementation of Smooth Local Projections (SLP)

A Julia package for estimating phylogenetic networks from genomic data

ModelWrappers.jl is a utility package that makes it easier to work with Model parameters stated as (nested) NamedTuples.

Library that handles atom structures as XYZ files and properties derived from it.

Symbolics-based function property propagation for optimization

Julia API to access data from the Instituto Nacional de Metereologia (INMET)

Helper files for using `Julia` with MTH229.

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A small step for dynamics, a giant leap for SciML

Implementation of Integral Probability Measures in Julia

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Simple visualization for the RigidBodyDynamics.jl library

Local polynomial regression in pure Julia

Nonnegative Matrix Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning