Dependency Packages
- 
    
      DataDrivenAcoustics.jl2Data driven acoustic propagation models
 - 
    
      MoM_Visualizing.jl2A Julia package for visualizing of Method of Moments (MoM) and Multi-level Fast Multipole Algorithm (MLFMA).
 - 
    
      DegreesOfFreedom.jl2Julia package for "Degrees of Freedom: Search Cost and Self-consistency"
 - 
    
      MixtureDensityNetworks.jl2A simple interface for defining, training, and deploying MDNs.
 - 
    
      TMLECLI.jl2-
 - 
    
      SmartML.jl2-
 - 
    
      SampleChains.jl2-
 - 
    
      SampleChainsAbstractMCMC.jl2-
 - 
    
      TopOptMakie.jl1Makie visualization module for TopOpt.jl
 - 
    
      LighthouseFlux.jl1An adapter package that implements Lighthouse's framework interface for Flux
 - 
    
      ParametricDFNOs.jl1-
 - 
    
      HyperSphere.jl1-
 - 
    
      GraphSignals.jl1Data structures for graph neural network
 - 
    
      GaussianRelations.jl1-
 - 
    
      FluxTikz.jl1Draw simple Flux neural networks using TikZ
 - 
    
      FluxExtra.jl1Additional layers and functions for Flux.jl.
 - 
    
      EHTUVData.jl1A Julia package to handle multi-dimensional radio interferometric data
 - 
    
      SMLMBoxer.jl1SMLMBoxer.jl is a Julia package that provides a fast and efficient method for detecting particles or blobs in a multidimensional image stack and cutting out sub-regions around local maxima.
 - 
    
      StochasticNeighborhoodEmbeddings.jl1-
 - 
    
      SuperfluidRotSpec.jl1Bosons/Fermions Superfluid problem with morden tools.
 - 
    
      BetaReader.jl1Transliterate Beta Code Greek to Unicode Greek
 - 
    
      TextClassification.jl1A text classification library using the microtc approach
 - 
    
      AutomationLabsExportation.jl1Advanced exports management for AutomationLabs.jl
 - 
    
      TSMLextra.jl1External Machine Learning Libs for TSML
 - 
    
      AutoLandmarking.jl1This is a package for automated landmarking of images and volumes
 - 
    
      UnfoldCDL.jl1Deep Unfolded Convolutional Dictionary Learning for motif discovery.
 - 
    
      MonotoneDecomposition.jl1Julia package for the paper "Decomposition with Monotone B-splines: Fitting and Testing"
 - 
    
      DeepForest.jl0DeepForest Impletmentation 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.
 - 
    
      BagOfWords.jl0Explores representations based on bag words
 - 
    
      DeepUnfoldedCDLMotif.jl0Unfolded convolutional learning for motif discovery
 - 
    
      DistributedFlux.jl0-
 - 
    
      DistributedJLFluxML.jl0-
 - 
    
      SelfConcordantSmoothOptimization.jl0Self-concordant Smoothing for Large-Scale Convex Composite Optimization
 - 
    
      FastRecurFlux.jl0Make recurrent layers in Flux much faster
 - 
    
      PredictMDFull.jl0-
 - 
    
      PredictMDExtra.jl0-
 - 
    
      JetPackTransforms.jl0Jet transform operators that depend on FFTW.jl, and Wavelets.jl. Part of the COFII framework.
 - 
    
      MLJSerialization.jl0-
 - 
    
      Pilot.jl0Pilot library for NLP convolutional nets in Julia
 
                  Loading more...