A library of noise processes for stochastic systems like stochastic differential equations (SDEs) and other systems that are present in scientific machine learning (SciML)

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

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Read R data files from Julia

An open source model predictive control package for Julia.

Rigorous function approximation using Taylor models in Julia

Fast and simple nonlinear solvers for the SciML common interface. Newton, Broyden, Bisection, Falsi, and more rootfinders on a standard interface.

Flexible and efficient persistent homology computation.

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.

A package for discrete-time optimal stochastic control

Model and solve optimal control problems in Julia

A General Approach to Seismic Inversion Problems using Automatic Differentiation

A Julia package for solving multi-objective optimization problems

Atomic graph models for molecules and crystals in Julia

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

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.

Conic Augmented Lagrangian Interior-Point SOlver

Julia Kubernetes Client

Choo-choo

High-level, high-performance, constraint-based reconstruction and analysis in Julia

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

A gradient-based outer approximation solver for convex mixed-integer nonlinear programming (MINLP)

Automated Bayesian model discovery for time series data

Implementation of various ensemble Kalman Filter data assimilation methods in Julia

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.

A high functioning package detective.

A package containing a library of moist thermodynamic relations.

A Power Flow Solver for GPUs in Julia

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 package containing a library of moist thermodynamic relations.

A bunch of fast text parsing tools

Economic modeling in Julia