Dependency Packages
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SpinGlassExhaustive.jl0-
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Pilot.jl0Pilot library for NLP convolutional nets in Julia
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MOTIFs.jl0DNA Motif discovery that includes the discovery of flexible (long or gapped) motifs.
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DeepUnfoldedCDLMotif.jl0Unfolded convolutional learning for motif discovery
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DistributedFlux.jl0-
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DeepForest.jl0DeepForest Impletmentation in Julia
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FastRecurFlux.jl0Make recurrent layers in Flux much faster
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BVHFiles.jl0A package for working with BioVisionHierarchy files (motion capture data)
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DistributedJLFluxML.jl0-
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GreenFlux.jl1Functions that allow to monitor the power draw from CPU, GPU's and DDR3-RAM in kWh and approximate the number of non-embedding Floating Point operations that a Flux model will make.
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FluxTikz.jl1Draw simple Flux neural networks using TikZ
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ContinuousTimePolicyGradients.jl1A package for the development and implementation of continuous-time policy gradient (CTPG) methods.
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AutomationLabsExportation.jl1Advanced exports management for AutomationLabs.jl
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FluxExtra.jl1Additional layers and functions for Flux.jl.
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CycleGAN.jl1Julia code of CycleGAN based on pytorch implementation
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StochasticNeighborhoodEmbeddings.jl1-
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TopOptMakie.jl1Makie visualization module for TopOpt.jl
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UnfoldCDL.jl1Deep Unfolded Convolutional Dictionary Learning for motif discovery.
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BetaReader.jl1Transliterate Beta Code Greek to Unicode Greek
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LighthouseFlux.jl1An adapter package that implements Lighthouse's framework interface for Flux
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AutoLandmarking.jl1This is a package for automated landmarking of images and volumes
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MixtureDensityNetworks.jl1A simple interface for defining, training, and deploying MDNs.
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AutomationLabsSystems.jl2Advanced systems management for AutomationLabs
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Qaintellect.jl2-
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ARMANets.jl2An implementation of ARMA convolutional layers in Julia.
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AutomationLabsDepot.jl2Warehouse for dynamical systems identification and control
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Solaris.jl2Lightweight module for fusing physical and neural models
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BackgroundSubtraction.jl3A collection of background subtraction algorithms for spectroscopic data
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AutomationLabsModelPredictiveControl.jl3Advanced process control for AutomationLabs
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SeaPearlExtras.jl3Non-critical functions for SeaPearl
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GenFlux.jl3-
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GumbelSoftmax.jl3Julia implementation of the Gumbel-Softmax reparametrization trick using Zygote.jl
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DeepCompartmentModels.jl4-
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AutomationLabsIdentification.jl4Dynamical systems identification
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AlgorithmicRecourseDynamics.jl4A Julia package for modelling Algorithmic Recourse Dynamics.
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FeedbackNets.jl4Deep and convolutional neural networks with feedback operations in Flux.
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EvidentialFlux.jl4Evidential Deep Learning Layers for Flux
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FlightGNC.jl4A Julia package containing GNC algorithms for autonomous aerospace systems
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AutomationLabs.jl4A powerful, no code solution for control and systems engineering
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GPFlux.jl4Integrate deep neural network and reverse mode automatic differentiation into Gauss process, have fun !
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