Dependency Packages
-
ControlSystems.jl430A Control Systems Toolbox for Julia
-
OrdinaryDiffEq.jl425High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)
-
Transformers.jl420Julia Implementation of Transformer models
-
Measurements.jl415Error propagation calculator and library for physical measurements. It supports real and complex numbers with uncertainty, arbitrary precision calculations, operations with arrays, and numerical integration.
-
GeoStats.jl414An extensible framework for high-performance geostatistics in Julia
-
WaterLily.jl405Fast and simple fluid simulator in Julia
-
Soss.jl401Probabilistic programming via source rewriting
-
StatsPlots.jl400Statistical plotting recipes for Plots.jl
-
BlackBoxOptim.jl391Black-box optimization for Julia
-
SymbolicRegression.jl377Distributed High-Performance symbolic regression in Julia
-
Distances.jl376A Julia package for evaluating distances (metrics) between vectors.
-
DataDrivenDiffEq.jl372Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization
-
MixedModels.jl369A Julia package for fitting (statistical) mixed-effects models
-
MeasureTheory.jl367"Distributions" that might not add to one.
-
StatisticalRethinking.jl366Julia package with selected functions in the R package `rethinking`. Used in the SR2... projects.
-
Trixi.jl363Trixi.jl: Adaptive high-order numerical simulations of hyperbolic PDEs in Julia
-
IterativeSolvers.jl358Iterative algorithms for solving linear systems, eigensystems, and singular value problems
-
NearestNeighbors.jl353High performance nearest neighbor data structures and algorithms for Julia.
-
TextAnalysis.jl352Julia package for text analysis
-
BinaryBuilder.jl344Binary Dependency Builder for Julia
-
MultivariateStats.jl344A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)
-
Catalyst.jl342Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software
-
DiffEqBiological.jl342Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software
-
AlgebraOfGraphics.jl338Combine ingredients for a plot
-
DFTK.jl337Density-functional toolkit
-
DSP.jl331Filter design, periodograms, window functions, and other digital signal processing functionality
-
GeometricFlux.jl330Geometric Deep Learning for Flux
-
AutoMLPipeline.jl325A package that makes it trivial to create and evaluate machine learning pipeline architectures.
-
Stheno.jl324Probabilistic Programming with Gaussian processes in Julia
-
TimeSeries.jl318Time series toolkit for Julia
-
PowerModels.jl316A Julia/JuMP Package for Power Network Optimization
-
Clustering.jl311A Julia package for data clustering
-
Modia.jl298Modeling and simulation of multidomain engineering systems
-
GaussianProcesses.jl298A Julia package for Gaussian Processes
-
Manifolds.jl297Manifolds.jl provides a library of manifolds aiming for an easy-to-use and fast implementation.
-
Metalhead.jl297Computer vision models for Flux
-
Surrogates.jl281Surrogate modeling and optimization for scientific machine learning (SciML)
-
RCall.jl281Call R from Julia
-
Molly.jl281Molecular simulation in Julia
-
TaylorSeries.jl280Taylor polynomial expansions in one and several independent variables.
Loading more...