A simple Julia library to merge PDF files

Julia Incremental Technical Analysis Indicators (inspired by talipp)

A package for graph optimization algorithms that rely on mathematical programming.

An interface to NASA-JPL HORIZONS system and other Solar System Dynamics APIs in Julia

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Working efficiently with datasets where observations have associated uncertainties.

Back to the stone age!

Project(s) → Standalone Depot

The Multi-Parent Biased Random-Key Genetic Algorithm with Implict Path Relink - Julia version

Reduced-Rejection-Rate Monte Carlo for Ising spin models

Receiver Operating Characteristic (ROC) Curve for Julia Language

A Gridap-based FEM solver for the MHD equations

A Julia package that implements a category of reaction (transportation) network-type dynamical systems.

Solving unregularized optimal transport problems with Julia

Diffusion MRI Simulation Toolbox in Julia

Extensions to Julia's stdlib Random module

Mixed complementarity problems parameterized by "runtime"-parameters with support for implicit differentiation.

Standard input/output package for AtomsBase-compatible structures

NPA in Julia

Julia library for quantum information related calculations.

Image processing based on image phase information.

Representing machine learning models using mathematical programming

DEPRECATED: Interface between the GLPK.jl wrapper and MathProgBase.jl

Simple, low-level views into memory in Julia

Julia wrapper for the Spot LTL and automata manipulation library

Pareto smoothed importance sampling

A suite of familiar Julia APIs for bigger datasets with less cloud and lower costs.

Integrating Neural Ordinary Differential Equations, the Method of Lines, and Graph Neural Networks

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A Julia package for automagical DC.js linked charts in your IJulia notebook

Enigma decode/encode and cracking

High-fidelity orbit determination and propagation for Near-Earth Objects, in Julia

Empirical Bayes estimation and inference in Julia.

Time-aware lags and leads in panel data.

Solving variational inequality problems, modeling via JuMP

Source code for https://nature.com/articles/s41467-019-10933-3

Surrogate modeling package in Julia using radial basis functions for use in optimisation.

A drop-in replacement of `Base.@assert` that prints out additional information upon failure.

Uniform interface for machine learning in Julia

The Tsetlin Machine library with zero external dependencies performs quite well.