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Julia package containing utilities intended for Time Series analysis.

Quantum Algorithms for solving differential equations

Reimplementation of Raphaelvallat's Pingouin in Julia

Machine learning with Mill.jl for JSON documents

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Reachability analysis for closed-loop control systems in Julia

Tools to generate and study moment equations for any chemical reaction network using various moment closure approximations

A toolbox meant for aircraft design analyses.

A toolbox meant for aircraft design analyses.

Julia library for deep reinforcement learning

No need to train, he's a smooth operator

Import/export ONNX models

Integrating diagramming and data visualization

Define material parameters, perform non-dimensionalization and provide computational routines for material parameters in geodynamic simulations

SciMLOperators.jl: Matrix-Free Operators for the SciML Scientific Machine Learning Common Interface in Julia

I heard you like compile times

Boundary value problem (BVP) solvers for scientific machine learning (SciML)

A Julia package for constrained iterative LQR (iLQR)

Life Actuarial Maths

Interface package for featurizing atomic structures

Implementations of single and multi-ellipsoid nested sampling

Experimental framework for automatic differentiation finite-volume simulators

Evolve Flux networks from scratch!

A suite of tools for solving Nonlinear Schrodinger equations via higher-order algorithms and Darboux transformations.

Methods for computational information geometry

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🌊 🦠 🌿 A fast and flexible modelling environment written in Julia for modelling the coupled interactions between ocean biogeochemistry, carbonate chemistry, and physics

A Petri net modeling framework for the Julia programming language

Unified contact simulaton and collision detection

SBML differential equation and chemical reaction model (Gillespie simulations) for Julia's SciML ModelingToolkit

Common functions in actuarial and financial routines

Effortless Bayesian Deep Learning through Laplace Approximation for Flux.jl neural networks.

High Quality Geophysical Analysis provides a general purpose Bayesian and deterministic inversion framework for various geophysical methods and spatially distributed / timeseries data

Comparing performance and results of mcmc options using Julia

Examples of how to use the modeling capabilities developed under the Scalable Integrated Infrastructure Planning Initiative at NREL.

Julia package for PEPS algorithms

A package for multi-dimensional integration using monte carlo methods

DOLPHYN: Decision Optimization for Low Carbon Power and Hydrogen Nexus

Clima's Land Model