Dependency Packages
-
Mozi.jl0-
-
MPISphericalHarmonics.jl0Julia package for handling measured data for spherical t-designs.
-
TumorGrowth.jl0Simple predictive models for tumor growth, and tools to apply them to clinical data
-
PeriodicKdV.jl0-
-
SlottedRandomAccess.jl0Simulate Packet Loss Ratio performance of Slotted Random Access Schemes
-
AllenNeuropixelsBase.jl0Access data from the Allen Institute's open Neuropixels datasets
-
GeneralizedGaussianQuadrature.jl0Generalized Gaussian Quadrature Rules
-
SurrealdbWS.jl0-
-
Muspel.jl0-
-
NamSor.jl0Julia wrappers for NamSor v2 API
-
NormalMaps.jl0Pakcage for generating normal maps from images using Julia.
-
FuzzyClusteringSimilarity.jl0Code for Dirichlet Random Models for Fuzzy Rand Adjustment
-
NonstationaryProcessesBase.jl0-
-
AnimalBreedingTools.jl0Some functions useful for small computations
-
NonconvexPavito.jl0Pavito wrapper in Nonconvex.jl
-
FractalAnimation.jl0-
-
NonconvexIpopt.jl0Ipopt wrapper for Nonconvex.jl.
-
LDrawParser.jl0-
-
NeXLMatrixCorrection.jl0EPMA matrix correction algorithms
-
AvrutinSearch.jl0A Julia implementation of the algorithm described in: Avrutin V et al. Calculation of homoclinic and heteroclinic orbits in 1D maps. Commun Nonlinear Sci Numer Simulat (2014), http://dx.doi.org/10.1016/j.cnsns.2014.07.008
-
StanQuap.jl0Quadratic approximation of posterior distribution using StanOptimize
-
ContinuumMechanicsBase.jl0Definition of basic tensors for continuum mechanics calculations
-
HighVoronoi.jl0A Julia Package for high performing parallelized computation of high dimensional Voronoi Meshes and Finite Volume problems
-
OpticSimVis.jl0A visualization package for the OpticSim Julia package
-
QEDcore.jl0[WIP] Core types and functions for QED.jl
-
ExpressCommands.jl0The command-line interface of Express.jl
-
AxisTables.jl0Tables with AxisIndices backend
-
ModiaPlot_PyPlot.jl0Convenient line plots of ModiaResults with PyPlot
-
ParticleHolography.jl0ParticleHolography.jl: Holographic particle measurement in Julia.
-
BasicAkerRelationalScore.jl0This is a dimensionality reduction algorithm which has the goal of maintaining interpretability i.e we eliminate variables directly from potential models that don't seem to add any predictive power.
-
NarmViz.jl0Visualize time series numerical association rules
-
ExtendedDates.jl0-
-
MultiCDF.jl0-
-
QuantumStateDB.jl0Quantum state database
-
MTKHelpers.jl0Helper functions with ModelingToolkit
-
PICDataStructures.jl0Data structures for Particle-in-Cell codes
-
BigRiverQTLPlots.jl0-
-
GroupedTransforms.jl0GroupedTransforms Julia Package
-
PlasmoPlots.jl0Plotting functions for Plasmo.jl
-
TaijaParallel.jl0Adds support for parallelization for Taija packages.
Loading more...