Mathematics Packages
-
DiffEqDevTools.jl46Benchmarking, testing, and development tools for differential equations and scientific machine learning (SciML)
-
DiffEqJump.jl139Build and simulate jump equations like Gillespie simulations and jump diffusions with constant and state-dependent rates and mix with differential equations and scientific machine learning (SciML)
-
DiffEqNoiseProcess.jl63A library of noise processes for stochastic systems like stochastic differential equations (SDEs) and other systems that are present in scientific machine learning (SciML)
-
DiffEqOperators.jl285Linear operators for discretizations of differential equations and scientific machine learning (SciML)
-
DiffEqParamEstim.jl61Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions
-
DiffEqProblemLibrary.jl55A library of premade problems for examples and testing differential equation solvers and other SciML scientific machine learning tools
-
DiffEqSensitivity.jl329A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, adjoint methods, and more for ODEs, SDEs, DDEs, DAEs, etc.
-
DiffEqUncertainty.jl65Fast uncertainty quantification for scientific machine learning (SciML) and differential equations
-
DifferentialEquations.jl2841Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.
-
DiffRules.jl76A simple shared suite of common derivative definitions
-
Digits.jl8Julia package for integer digit manipulation
-
DirectSum.jl50Tangent bundle, vector space and Submanifold definition
-
DiscreteInference.jl3A Julia Package for Inference over Discrete Graphical Models
-
Divergences.jl9A Julia package for evaluation of divergences between distributions
-
DomainSets.jl72A Julia package for describing domains as continuous sets of elements
-
Dopri.jl4A Julia wrapper for the DOPRI5 and DOP853 integrators.
-
DoubleDouble.jl26Extended precision arithmetic for Julia (deprecated)
-
DoubleFloats.jl148Math with more good bits
-
DSP.jl379Filter design, periodograms, window functions, and other digital signal processing functionality
-
Dualization.jl95Automatic dualization feature for MathOptInterface.jl
-
DualNumbers.jl80Julia package for representing dual numbers and for performing dual algebra
-
DynamicalSystems.jl834Award winning software library for nonlinear dynamics and nonlinear timeseries analysis
-
DynamicAxisWarping.jl98Dynamic Time Warping (DTW) and related algorithms in Julia, at Julia speeds
-
DynamicPolynomials.jl60Multivariate polynomials implementation of commutative and non-commutative variables
-
EconPDEs.jl121Solve non-linear HJB equations.
-
Einsum.jl150Einstein summation notation in Julia
-
EiSCor.jl0Julia wrapper of the Fortran library for efficiently solving structured matrix eigenvalue problems using unitary core transformations
-
Elemental.jl78Julia interface to the Elemental linear algebra library.
-
EllipsisNotation.jl88Julia-based implementation of ellipsis array indexing notation `..`
-
Elliptic.jl31Elliptic integral and Jacobi elliptic special functions
-
EndpointRanges.jl23Julia package for doing arithmetic on endpoints in array indexing
-
EnhancedGJK.jl35GJK signed distance algorithm for convex bodies in Julia
-
EntropicCone.jl8Entropic Cone approximation and optimization
-
Entropy.jl2A set of functions to estimate entropy from discrete and continuous samples
-
Equations.jl8Derive mathematical relations
-
Erdos.jl41A library for graph analysis written Julia.
-
ErrorfreeArithmetic.jl12Error-free transformations are used to get results with extra accuracy.
-
ErrorFreeTransforms.jl0Several error-free transformations from the scientific literature
-
Estimation.jl17A julialang package for DSP related estimation
-
EvolvingGraphs.jl52Working with time-dependent networks in Julia
Loading more...