Dependency Packages
-
InfrastructureSystems.jl39Utility package for Sienna's simulation infrastructure
-
HMatrices.jl39A Julia library for hierarchical matrices
-
SBMLToolkit.jl39SBML differential equation and chemical reaction model (Gillespie simulations) for Julia's SciML ModelingToolkit
-
SpecialMatrices.jl39Julia package for working with special matrix types.
-
ClimateBase.jl39Tools to analyze and manipulate climate (spatiotemporal) data. Also used by ClimateTools and ClimatePlots
-
Sherlogs.jl38A number format that inspects your code by logging the arithmetic results.
-
StatisticalGraphics.jl38Data visualization in Julia
-
RealNeuralNetworks.jl38A unified framework for skeletonization, morphological analysis, and connectivity analysis.
-
MultipleTesting.jl38The MultipleTesting package offers common algorithms for p-value adjustment and combination and more…
-
ClassicalOrthogonalPolynomials.jl38A Julia package for classical orthogonal polynomials and expansions
-
MarSwitching.jl38MarSwitching.jl: Julia package for Markov switching dynamic models :chart_with_upwards_trend:
-
TexTables.jl38Publication quality regression and statistical tables
-
LibSndFile.jl38Julia Interface to libsndfile
-
Robotlib.jl38Robotics library written in the Julia programming language
-
SimpleGraphs.jl38Convenient way to handle simple graphs and digraphs
-
LaplaceRedux.jl38Effortless Bayesian Deep Learning through Laplace Approximation for Flux.jl neural networks.
-
DecisionProgramming.jl38DecisionProgramming.jl is a Julia package for solving multi-stage decision problems under uncertainty, modeled using influence diagrams. Internally, it relies on mathematical optimization. Decision models can be embedded within other optimization models.
-
SumProductNetworks.jl38Sum-product networks in Julia.
-
SIIPExamples.jl37Examples of how to use the modeling capabilities developed under the Scalable Integrated Infrastructure Planning Initiative at NREL.
-
EasyFit.jl37Easy interface for obtaining fits for 2D data
-
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)
-
HiQGA.jl37High Quality Geophysical Analysis provides a general purpose Bayesian and deterministic inversion framework for various geophysical methods and spatially distributed / timeseries data
-
UnitfulRecipes.jl37Plots.jl recipes for Unitful.jl arrays
-
ADNLPModels.jl37-
-
PEPSKit.jl37Julia package for PEPS algorithms
-
NNFEM.jl37Neural Network Approach for Data-Driven Constitutive Modeling
-
BeforeIT.jl37A fast and modular Julia implementation of the macroeconomic ABM of [Poledna et al., European Economic Review (2023)]
-
OPFLearn.jl37A Julia package that efficiently creates representative datasets for machine learning approaches to AC optimal power flow
-
FeatureTransforms.jl37Transformations for performing feature engineering in machine learning applications
-
Sole.jl37Sole.jl – Long live transparent modeling!
-
MCMCBenchmarks.jl37Comparing performance and results of mcmc options using Julia
-
DynamicHMCExamples.jl37Examples for Bayesian inference using DynamicHMC.jl and related packages.
-
CloudMicrophysics.jl37A library of cloud microphysics parameterizations
-
PowerModelsSecurityConstrained.jl37A PowerModels Extension for Security Constrained Optimization Problems
-
DCEMRI.jl37DCE MRI analysis in Julia
-
Korg.jl37Fast 1D LTE stellar spectral synthesis
-
Glimmer.jl37A Julia package for UI development
-
ClimaLand.jl36Clima's Land Model
-
Intervals.jl36Non-iterable ranges
-
LayeredLayouts.jl36Layered Layout Algorithms for Directed Acyclic Graphs
Loading more...