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

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

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

Multistart optimization methods in Julia.

Visualization for Flux.Chain neural networks

A package for Gaussian random field generation in Julia

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

Base functionality library for QuantumOptics.jl

Read R data files from 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 library of noise processes for stochastic systems like stochastic differential equations (SDEs) and other systems that are present in scientific machine learning (SciML)

An open source model predictive control package for Julia.

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

Rigorous function approximation using Taylor models in Julia

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

Darcy flow and reservoir simulator based on Jutul.jl

A General Approach to Seismic Inversion Problems using Automatic Differentiation

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

Julia package for solving singular integral equations

Model and solve optimal control problems in Julia

A Julia package for solving multi-objective optimization problems

A package for discrete-time optimal stochastic control

Atomic graph models for molecules and crystals in Julia

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

Conic Augmented Lagrangian Interior-Point SOlver

Julia Kubernetes Client

Utility package for subsetting, resampling, iteration, and partitioning of various types of data sets in Machine Learning

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

Choo-choo

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

Dithering algorithms in Julia.

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

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

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

Use Optim to train Flux models and visualize loss landscapes

Automatic detection of sparsity in pure Julia functions for sparsity-enabled scientific machine learning (SciML)