Dependency Packages
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CombineML.jl42Create ensembles of machine learning models from scikit-learn, caret, and julia
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SignalAnalysis.jl42Signal analysis toolbox for Julia
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QuantileRegressions.jl41Quantile regression in Julia
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Erdos.jl41A library for graph analysis written Julia.
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NestedSamplers.jl41Implementations of single and multi-ellipsoid nested sampling
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IterativeLQR.jl41A Julia package for constrained iterative LQR (iLQR)
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DataAugmentation.jl41Flexible data augmentation library for machine and deep learning
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ActuarialScience.jl41Life Actuarial Maths
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EcoSISTEM.jl41Julia package for ecosystem simulation
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InformationGeometry.jl40Methods for computational information geometry
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KalmanFilters.jl40Various Kalman Filters: KF, UKF, AUKF and their Square root variant
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AtariAlgos.jl40Arcade Learning Environment (ALE) wrapped as a Reinforce.jl environment
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Dionysos.jl40-
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Petri.jl40A Petri net modeling framework for the Julia programming language
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ClimateBase.jl39Tools to analyze and manipulate climate (spatiotemporal) data. Also used by ClimateTools and ClimatePlots
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SBMLToolkit.jl39SBML differential equation and chemical reaction model (Gillespie simulations) for Julia's SciML ModelingToolkit
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Silico.jl39Unified contact simulaton and collision detection
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ActuaryUtilities.jl39Common functions in actuarial and financial routines
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TexTables.jl38Publication quality regression and statistical tables
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LaplaceRedux.jl38Effortless Bayesian Deep Learning through Laplace Approximation for Flux.jl neural networks.
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SimpleGraphs.jl38Convenient way to handle simple graphs and digraphs
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SumProductNetworks.jl38Sum-product networks in Julia.
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MarSwitching.jl38MarSwitching.jl: Julia package for Markov switching dynamic models :chart_with_upwards_trend:
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MultipleTesting.jl38The MultipleTesting package offers common algorithms for p-value adjustment and combination and more…
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RealNeuralNetworks.jl38A unified framework for skeletonization, morphological analysis, and connectivity analysis.
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StatisticalGraphics.jl38Data visualization in Julia
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MCMCBenchmarks.jl37Comparing performance and results of mcmc options using Julia
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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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EasyFit.jl37Easy interface for obtaining fits for 2D data
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Sole.jl37Sole.jl – Long live transparent modeling!
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DynamicHMCExamples.jl37Examples for Bayesian inference using DynamicHMC.jl and related packages.
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DCEMRI.jl37DCE MRI analysis in Julia
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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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BeforeIT.jl37A fast and modular Julia implementation of the macroeconomic ABM of [Poledna et al., European Economic Review (2023)]
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MonteCarloIntegration.jl36A package for multi-dimensional integration using monte carlo methods
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BlobTracking.jl36Detect and track blobs in video
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AIBECS.jl36The ideal tool for exploring global marine biogeochemical cycles.
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SignalDecomposition.jl36Decompose a signal/timeseries into structure and noise or seasonal and residual components
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BasicPOMCP.jl35The PO-UCT algorithm (aka POMCP) implemented in Julia
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Diagonalizations.jl35Diagonalization procedures for Julia (PCA, Whitening, MCA, gMCA, CCA, gCCA, CSP, CSTP, AJD, mAJD)
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