Dependency Packages
-
IndependentHypothesisWeighting.jl6Independent Hypothesis Weighting for multiple testing with side-information in Julia
-
BellScenario.jl6Compute Bell inequalities and their quantum violations.
-
IndependentComponentAnalysis.jl6Fast implementations of FastICA and DUET for blind source separation
-
AEMS.jl6Anytime error minimization search for POMDPs, implemented in Julia.
-
CausalGPSLC.jl6Causal Inference using Gaussian Processes with Structured Latent Confounders. Estimate treatment effects with Gaussian processes.
-
Implicit3DPlotting.jl6Repository for plotting implicitly defined surfaces and curves in R3.
-
OnlinePortfolioAnalytics.jl6-
-
SeDuMi.jl6A Julia interface to the SeDuMi SDP solver
-
BasisSets.jl6Package to parse Basis Sets from Basis Set Exchange API
-
Mehrotra.jl6Solver for complemetarity-based dynamics.
-
MzCore.jl6Traits and low-level utilities for mass spectrometry
-
CategoricalTimeSeries.jl6Toolbox for categorical time-series analysis.
-
DistributionMeasures.jl6Conversions between Distributions.jl distributions and MeasureTheory.jl measures.
-
ClimaDiagnostics.jl6A framework to define and output observables and statistics from CliMA simulations
-
ImageHashes.jl6Perform image hashing in julia
-
Foresight.jl6A Makie theme
-
CloudCovErr.jl6Pipeline for debiasing and improving error bar estimates for photometry on top of structured/filamentary background.
-
JuDGE.jl6An interface for solving a stochastic capacity expansion problem via a Dantzig-Wolfe decomposition algorithm
-
PowerSpectra.jl6Power spectra on the masked sky
-
ADI.jl6Algorithms for performing angular differential imaging (ADI)
-
BayesFlux.jl6Bayesian addition to Flux.jl
-
HydroPowerSimulations.jl6Extension of PowerSimulations.jl to model Hydropower devices
-
AMLPipelineBase.jl6The base package for AutoMLPipeline.jl and TSML.jl
-
OptimalMatrixCompletion.jl6A custom branch-and-bound algorithm for solving low-rank matrix completion to certifiable optimality
-
FMISensitivity.jl6Unfortunately, FMUs (fmi-standard.org) are not differentiable by design. To enable their full potential inside Julia, FMISensitivity.jl makes FMUs fully differentiable, regarding to: states and derivatives | inputs, outputs and other observable variables | parameters | event indicators | explicit time | state change sensitivity by event
-
DataFrameIntervals.jl6Utilities for working with DataFrames of `Intervals.jl` or `TimeSpans.jl` objects.
-
DistributedRelaxationTimes.jl6A julia package to compute the Distribution of Relaxation Times (DRT) of a given set of impedance measurements.
-
MetidaNCA.jl6Non-compartmental pharmacokinetics analysis for Julia.
-
PhyloDiamond.jl6Method to estimate phylogenetic networks from algebraic invariants
-
CoinbaseProExchange.jl6Julia wrapper for the Coinbase Pro API
-
PiecewiseOrthogonalPolynomials.jl6A Julia package for piecewise spectral methods such as p-FEM
-
AutocorrelationShell.jl6Julia implementation of Autocorrelation Wavelets.
-
IntegralArrays.jl6Julia Implementation of Integral Arrays
-
NetDecOPF.jl6A Julia package for network decomposition of optimal power flow problems
-
MRFingerprintingRecon.jl6-
-
CancerSeqSim.jl6-
-
HeartRateVariability.jl6-
-
FluxNLPModels.jl6-
-
PrecompilePlutoCourse.jl6-
-
CalibrationTests.jl6Hypothesis tests of calibration.
Loading more...