Dependency Packages
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SimpleGraphs.jl38Convenient way to handle simple graphs and digraphs
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ClassicalOrthogonalPolynomials.jl38A Julia package for classical orthogonal polynomials and expansions
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Triangulate.jl38Julia Wrapper for the Triangle Mesh Generator
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RealNeuralNetworks.jl38A unified framework for skeletonization, morphological analysis, and connectivity analysis.
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SumProductNetworks.jl38Sum-product networks in Julia.
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Sherlogs.jl38A number format that inspects your code by logging the arithmetic results.
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MultipleTesting.jl38The MultipleTesting package offers common algorithms for p-value adjustment and combination and more…
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LaplaceRedux.jl38Effortless Bayesian Deep Learning through Laplace Approximation for Flux.jl neural networks.
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TexTables.jl38Publication quality regression and statistical tables
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Robotlib.jl38Robotics library written in the Julia programming language
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EasyFit.jl37Easy interface for obtaining fits for 2D data
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UnitfulRecipes.jl37Plots.jl recipes for Unitful.jl arrays
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HiQGA.jl37High Quality Geophysical Analysis provides a general purpose Bayesian and deterministic inversion framework for various geophysical methods and spatially distributed / timeseries data
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DCEMRI.jl37DCE MRI analysis in Julia
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ADNLPModels.jl37-
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RootedTrees.jl37A collection of functionality around rooted trees to generate order conditions for Runge-Kutta methods in Julia for differential equations and scientific machine learning (SciML)
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CloudMicrophysics.jl37A library of cloud microphysics parameterizations
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PEPSKit.jl37Julia package for PEPS algorithms
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Glimmer.jl37A Julia package for UI development
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Sole.jl37Sole.jl – Long live transparent modeling!
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Korg.jl37Fast 1D LTE stellar spectral synthesis
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PowerModelsSecurityConstrained.jl37A PowerModels Extension for Security Constrained Optimization Problems
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SIIPExamples.jl37Examples of how to use the modeling capabilities developed under the Scalable Integrated Infrastructure Planning Initiative at NREL.
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MCMCBenchmarks.jl37Comparing performance and results of mcmc options using Julia
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FeatureTransforms.jl37Transformations for performing feature engineering in machine learning applications
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BeforeIT.jl37A fast and modular Julia implementation of the macroeconomic ABM of [Poledna et al., European Economic Review (2023)]
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OPFLearn.jl37A Julia package that efficiently creates representative datasets for machine learning approaches to AC optimal power flow
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Highlights.jl37A source code highlighter for Julia.
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NNFEM.jl37Neural Network Approach for Data-Driven Constitutive Modeling
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DynamicHMCExamples.jl37Examples for Bayesian inference using DynamicHMC.jl and related packages.
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Dolphyn.jl36DOLPHYN: Decision Optimization for Low Carbon Power and Hydrogen Nexus
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LightGraphsFlows.jl36Flow algorithms on LightGraphs
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ParametricOptInterface.jl36Extension for dealing with parameters
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AIHelpMe.jl36Harnessing Julia's Rich Documentation for Tailored AI-Assisted Coding Guidance
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ExactDiagonalization.jl36Julia package for the exact diagonalization method in condensed matter physics.
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ClimaLand.jl36Clima's Land Model
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SignalDecomposition.jl36Decompose a signal/timeseries into structure and noise or seasonal and residual components
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CDDLib.jl36Cdd wrapper module for Julia. cdd is a library for polyhedra manipulation such as double description and Fourier-Motzkin elimination
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Chemfiles.jl36Julia bindings to chemfiles
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SciMLWorkshop.jl36Workshop materials for training in scientific computing and scientific machine learning
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