Dependency Packages
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PiecewiseOrthogonalPolynomials.jl6A Julia package for piecewise spectral methods such as p-FEM
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DistributedRelaxationTimes.jl6A julia package to compute the Distribution of Relaxation Times (DRT) of a given set of impedance measurements.
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AcousticRayTracers.jl6Differentiable acoustic ray tracers
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JetPackWaveFD.jl6Jet operator pack for seismic modeling dependent on WaveFD.jl. Part of the COFII framework.
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AnalyticComb.jl6Solutions for combinatorial problems using symbolic methods.
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AlphaStableDistributions.jl6Alpha stable and sub-Gaussian distributions in Julia
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DeepCompartmentModels.jl6Package for fitting models according to the deep compartment modeling framework for pharmacometric applications.
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PowerSpectra.jl6Power spectra on the masked sky
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AlgorithmicRecourseDynamics.jl6A Julia package for modelling Algorithmic Recourse Dynamics.
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HydroPowerSimulations.jl6Extension of PowerSimulations.jl to model Hydropower devices
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CategoricalTimeSeries.jl6Toolbox for categorical time-series analysis.
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SeparableFunctions.jl6Calculates multidimensional functions faster by exploiting their separability.
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MessyTimeSeriesOptim.jl6A Julia implementation of estimation and validation algorithms for time series compatible with incomplete data.
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Sentinel.jl6This is a Julia library for processing ESA Sentinel 2 satellite data.
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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
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ADI.jl6Algorithms for performing angular differential imaging (ADI)
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MetidaNCA.jl6Non-compartmental pharmacokinetics analysis for Julia.
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VoronoiGraph.jl6Voronoi diagrams in N dimensions using an improved raycasting method.
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Mehrotra.jl6Solver for complemetarity-based dynamics.
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CausalGPSLC.jl6Causal Inference using Gaussian Processes with Structured Latent Confounders. Estimate treatment effects with Gaussian processes.
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CancerSeqSim.jl6-
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Foresight.jl6A Makie theme
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HarmonicPowerModels.jl6An extension package of PowerModels.jl for Harmonic (Optimal) Power Network
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BridgeDiffEq.jl6A thin wrapper over Bridge.jl for the SciML scientific machine learning common interface, enabling new methods for neural stochastic differential equations (neural SDEs)
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SubspaceInference.jl5Subspace Inference package for uncertainty analysis in deep neural networks and neural ordinary differential equations using Julia
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CoulombIntegrals.jl5-
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NetworkHawkesProcesses.jl5Network Hawkes processes in Julia.
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ActiveInference.jl5Julia Package for Active Inference
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NeXLSpectrum.jl5EDS spectrum analysis tools within the NeXL toolset
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TransportBasedInference.jl5A repository for adaptive transport maps
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OptimalTransmissionRouting.jl5-
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BaseModelica.jl5Importers for the BaseModelica standard into the Julia ModelingToolkit ecosystem
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AxisSets.jl5Consistent operations over a collection of KeyedArrays
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DPClustering.jl5Dirichilet process clustering for cancer sequencing data
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DDEBifurcationKit.jl5Numerical bifurcation analysis for delay differential equations
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SafetySignalDetection.jl5Bayesian Safety Signal Detection in Julia
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EdgeCameras.jl5Julia implementation of Bouman et al.'s edge camera algorithm
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Mazes.jl5Create grid mazes
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SymPyCore.jl5Package to help connect Julia with the SymPy library of Python
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YOLOv7.jl5-
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