Fast matrix multiplication and division for Toeplitz matrices in Julia

An open-source framework written in Julia for global integrated assessment models.

Fast uncertainty quantification for scientific machine learning (SciML) and differential equations

Fast uncertainty quantification for scientific machine learning (SciML) and differential equations

High-performance simulations of the Porous Electrode Theory for Li-ion batteries

Robot Motion Estimate: Tools, Variables, and Factors for SLAM in robotics; also see Caesar.jl.

Base functionality library for QuantumOptics.jl

A collection of tools for chemometrics and machine learning written in Julia.

Visualization for Flux.Chain neural networks

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An open source model predictive control package for 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.

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

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

Atomic graph models for molecules and crystals in Julia

Model and solve optimal control problems in Julia

Julia package for solving singular integral equations

Darcy flow and reservoir simulator based on Jutul.jl

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

A package for discrete-time optimal stochastic control

A General Approach to Seismic Inversion Problems using Automatic Differentiation

Choo-choo

Conic Augmented Lagrangian Interior-Point SOlver

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

Implementation of various ensemble Kalman Filter data assimilation methods in Julia

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

Automated Bayesian model discovery for time series data

Use Optim to train Flux models and visualize loss landscapes

Compositional data analysis in Julia

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

A Julia package for creating publication-ready summary tables in HTML, docx, LaTeX and Typst

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

Nonlinear optical pulse propagator

Expectation operators for Distributions.jl objects

Economic modeling in Julia

Distributed Data Parallel Training of Deep Neural Networks

A Julia package for representing block-banded matrices and banded-block-banded matrices

Plotting and interface tools for biology.