Dependency Packages
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ContactImplicitMPC.jl102Fast contact-implicit model predictive control for robotic systems that make and break contact with their environments.
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PhysicalConstants.jl102Collection of fundamental physical constants with uncertainties. It supports arbitrary-precision constants
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Flux3D.jl1013D computer vision library in Julia
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MagNav.jl101MagNav: airborne Magnetic anomaly Navigation
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QuasiMonteCarlo.jl101Lightweight and easy generation of quasi-Monte Carlo sequences with a ton of different methods on one API for easy parameter exploration in scientific machine learning (SciML)
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ViscousFlow.jl97A framework for simulating viscous incompressible flows about arbitrary body shapes.
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FundamentalsNumericalComputation.jl97Core functions for the Julia (2nd) edition of the text Fundamentals of Numerical Computation, by Driscoll and Braun.
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MacroModelling.jl95Macros and functions to work with DSGE models.
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DiffEqCallbacks.jl94A library of useful callbacks for hybrid scientific machine learning (SciML) with augmented differential equation solvers
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SummationByPartsOperators.jl94A Julia library of summation-by-parts (SBP) operators used in finite difference, Fourier pseudospectral, continuous Galerkin, and discontinuous Galerkin methods to get provably stable semidiscretizations, paying special attention to boundary conditions.
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ModelingToolkitDesigner.jl94A helper tool for visualizing and editing a ModelingToolkit.jl system connections
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ObjectDetector.jl90Pure Julia implementations of single-pass object detection neural networks.
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ARCHModels.jl90A Julia package for estimating ARMA-GARCH models.
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Copulas.jl88A fully `Distributions.jl`-compliant copula package
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AdvancedMH.jl88Robust implementation for random-walk Metropolis-Hastings algorithms
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GXBeam.jl87Pure Julia Implementation of Geometrically Exact Beam Theory
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Dynare.jl86A Julia rewrite of Dynare: solving, simulating and estimating DSGE models.
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Mill.jl86Build flexible hierarchical multi-instance learning models.
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StateSpaceRoutines.jl86Package implementing common state-space routines.
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ClimaCore.jl85CliMA model dycore
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MRIReco.jl85Julia Package for MRI Reconstruction
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ValidatedNumerics.jl85Rigorous floating-point calculations with interval arithmetic in Julia
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CalibrateEmulateSample.jl84Stochastic Optimization, Learning, Uncertainty and Sampling
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FMI.jl84FMI.jl is a free-to-use software library for the Julia programming language which integrates FMI (fmi-standard.org): load or create, parameterize, differentiate and simulate FMUs seamlessly inside the Julia programming language!
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OrbitalTrajectories.jl83OrbitalTrajectories.jl is a modern orbital trajectory design, optimisation, and analysis library for Julia, providing methods and tools for designing spacecraft orbits and transfers via high-performance simulations of astrodynamical models.
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JuLIP.jl83Julia Library for Interatomic Potentials
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Pigeons.jl82Sampling from intractable distributions, with support for distributed and parallel methods
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FractionalDiffEq.jl80Solve Fractional Differential Equations using high performance numerical methods
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ClimaAtmos.jl79ClimaAtmos.jl is a library for building atmospheric circulation models that is designed from the outset to leverage data assimilation and machine learning tools. We welcome contributions!
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EasyModelAnalysis.jl79High level functions for analyzing the output of simulations
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OutlierDetection.jl79Fast, scalable and flexible Outlier Detection with Julia
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SolveDSGE.jl79A Julia package to solve, simulate, and analyze nonlinear DSGE models.
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AbstractMCMC.jl79Abstract types and interfaces for Markov chain Monte Carlo methods
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AdvancedVI.jl78Implementation of variational Bayes inference algorithms
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ParameterizedFunctions.jl77A simple domain-specific language (DSL) for defining differential equations for use in scientific machine learning (SciML) and other applications
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SemanticModels.jl77A julia package for representing and manipulating model semantics
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Tilde.jl75WIP successor to Soss.jl
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Pathfinder.jl75Preheat your MCMC
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Modia3D.jl74Modeling and Simulation of 3D systems
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MultiScaleArrays.jl73A framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations
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