JuliaFEM base package (core functionality)

Statistical power analyses in Julia

This package offers both traditional benchmark and newly developed Online Portfolio Selection (OPS) algorithms implementation.

Efficient sparse modelling with JuMP

Package to simulate the thermal evolution of magmatic systems

Julia code for nuclear shell-model calculations

Nevanlinna analytic continuation

Estimation of calibration errors.

General fixed point mapping acceleration and optimization in Julia

N-Point Correlation Functions in Julia

Test particle tracing in electromagnetic field

Nonconvex Exterior Point Operator Splitting

Stata's Binscatter for Julia

Estimation for sharp regression discontinuity designs.

Align signals to each other

Generation of neutral landscapes in Julia.

Simple Julia Lattice Boltzmann Solver for Thin Liquid Films and Droplets, approximating the thin film equation.

Jacobi theta functions and related functions.

Model the propagation of VLF radio waves in the Earth-ionosphere waveguide.

Linear Regression with errors in both X and Y, correlated or not, confidence intervals and plots.

Implementation of Transitional Markov Chain Monte Carlo (TMCMC) in Julia.

A minimal, Julia-written tool for converting numbers to words.

Box Cox transformation in Julia

SossMLJ makes it easy to build MLJ machines from user-defined models from the Soss probabilistic programming language

Efficient Astronomical Time transformations in Julia.

Status: Technical Preview

A flexible toolkit for simulation based inference in Julia

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Julia package for microstructure imaging

Distances between N-dimensional images

Package that provides a integrated Julia workflow for molecular dyanmics simulations.

QMDP Solvers for POMDPs

Differentiable JUlia ICE model

Argo data processing and analysis

Interface between ControlSystems and ModelingToolkit

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🔵 QUBO Annealing & Sampling MOI Interfaces

Simple, blazing fast, message-passing graph neural network.

Adversarial attacks for Neural Networks written with FluxML

Solver for 1D nonlinear partial differential equations in Julia based on the collocation method of Skeel and Berzins and providing an API similar to MATLAB's pdepe