Read R data files from Julia

Flexible and efficient persistent homology computation.

An open source model predictive control package for Julia.

A package for performing Singular Spectrum Analysis (SSA) and time-series decomposition

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Atomic graph models for molecules and crystals in Julia

Darcy flow and reservoir simulator based on Jutul.jl

Julia package for solving singular integral equations

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

A General Approach to Seismic Inversion Problems using Automatic Differentiation

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

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

Julia Kubernetes Client

Conic Augmented Lagrangian Interior-Point SOlver

Choo-choo

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

Distributed Julia arrays using the MPI protocol

Dithering algorithms in Julia.

Julia backend for Plotly Dash

Automated Bayesian model discovery for time series data

A multi-dimensional, high performance deconvolution framework written in Julia Lang for CPUs and GPUs.

Compositional data analysis in Julia

Use Optim to train Flux models and visualize loss landscapes

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.

Nonlinear optical pulse propagator

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

Julia framework for spatial ecology - data types and utilities

A high functioning package detective.

A bunch of fast text parsing tools

Support package for doing Calculus with Julia

Economic modeling in Julia

Plotting and interface tools for biology.

Data-parallelism on CUDA using Transducers.jl and for loops (FLoops.jl)

Algorithmic trading and backtesting framework in pure julia

Distributed Data Parallel Training of Deep Neural Networks

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

A package with general tools for working with higher-dimensional tensor networks based on ITensor.

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