A Julia interface to the SDPA-GMP, SDPA-DD, and SDPA-QD high precision semidefinite programming solvers.

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Julia package for association rule learning

Discrete choice/random utility models in Julia

A library for machine learning datasets on graph

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

Computation graphs for matrix functions

Julia GARCH package

A Julia wrapper for the Concorde TSP Solver.

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

Drift diffusion simulator for semiconductor devices

Portfolio optimization

Exact reduction of ODE models via linear transformations

DSL for Financial Contracts.

A modular hydrodynamic code written in pure Julia

The Biochemical Algorithms Library in Julia

A Py.Test-like testing framework for Julia

Empirical probability distributions in Julia

Julia package for finding the longest simple path in a graph.

A Julia package for estimating phylogenetic networks from genomic data

Implementation fo ray transfer matrix analysis for optical beams

Adaptive stress testing of black-box systems within POMDPs.jl

Experimental features for Flux.jl

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Julia implementation of elliptical slice sampling.

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

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

Parser for bibliographic formats, including BibTeX, in pure Julia

Implementation of Integral Probability Measures in Julia

Package Information and Documentation

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

Generate audiory stimuli

Thread-safe and flexible temporary arrays and object cache for semi-manual memory management

High dimensional numbers and reductions recipes for data visualization of scientific machine learning (SciML)

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

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

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

Is there anything we can't make Bayesian?

A Julia package for Interpretable Compositional Networks (ICN), a variant of neural networks, allowing the user to get interpretable results, unlike regular artificial neural networks.

Julia package for performing rigorous arithmetic of Imprecise Probabilities with fuzzy numbers