CellMLToolkit.jl is a Julia library that connects CellML models to the Scientific Julia ecosystem.

Pull data from Federal Reserve Economic Data (FRED) directly into Julia

Conic Augmented Lagrangian Interior-Point SOlver

MultiJuMP enables the user to easily run multiobjective optimisation problems and generate Pareto fronts.

Julia Kubernetes Client

Choo-choo

Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions

Quantum operator algebra in Julia

Import, process and interpret geophysical data sets to be used in numerical models.

Functions useful when using Pluto in teaching.

Delay differential equation (DDE) solvers in Julia for the SciML scientific machine learning ecosystem. Covers neutral and retarded delay differential equations, and differential-algebraic equations.

Compositional data analysis in Julia

Use Optim to train Flux models and visualize loss landscapes

Nonlinear optical pulse propagator

A high functioning package detective.

Functions to compute omnidirectional landscape connectivity using circuit theory and the Omniscape algorithm.

Julia framework for spatial ecology - data types and utilities

Support package for doing Calculus with Julia

A bunch of fast text parsing tools

Economic modeling in Julia

Algorithmic trading and backtesting framework in pure julia

Plotting and interface tools for biology.

A Julia package for the Fourier analysis of Multivariate Data in the Frequency and Time-Frequency Domain

Differentiable trajectory optimization in Julia.

FMIFlux.jl is a free-to-use software library for the Julia programming language, which offers the ability to place FMUs (fmi-standard.org) everywhere inside of your ML topologies and still keep the resulting model trainable with a standard (or custom) FluxML training process.

Robust and optimal design and analysis of linear control systems

Efficient, Accurate, and Streamlined Training of Physics-Informed Neural Networks

Boundary Element Analysis and Simulation Toolkit

String support package for Julia

Estimators for probabilities, entropies, and other complexity measures derived from data in the context of nonlinear dynamics and complex systems

Makie.jl recipes for visualization of Meshes.jl

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Definition of dynamical systems and integrators for DynamicalSystems.jl

A Julia package for solving nonlinear differential equations using the harmonic balance method.

Approximate Bayesian Computation (ABC) algorithms for likelihood free inference in julia

Ambient Noise Cross-Correlation in Julia

The automatically differentiable and GPU-compatible toolkit for CMB analysis.

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Simple geographical raster interaction built on top of ArchGDAL, GDAL and CoordinateTransformations

Robust, Fast, and Parallel Global Sensitivity Analysis (GSA) in Julia