Dependency Packages
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AutomationLabsExportation.jl1Advanced exports management for AutomationLabs.jl
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MixtureDensityNetworks.jl1A simple interface for defining, training, and deploying MDNs.
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MOTIFs.jl0DNA Motif discovery that includes the discovery of flexible (long or gapped) motifs.
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LuxTestUtils.jl0Collection of Functions useful for testing various packages in the Lux Ecosystem
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LuxCore.jl3LuxCore.jl defines the abstract layers for Lux. Allows users to be compatible with the entirely of Lux.jl without having such a heavy dependency.
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GraphNets.jl11Simple, blazing fast, message-passing graph neural network.
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TransformerBlocks.jl16Simple, blazing fast, transformer components.
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SensitivityRankCondition.jl2Julia implementation of "Sensitivity Matrices as Keys to Local Structural System Properties of Large-scale Nonlinear Systems" by L. G. Van Willigenburg et al.
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AutomationLabsSystems.jl2Advanced systems management for AutomationLabs
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DistributedJLFluxML.jl0-
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Tsunami.jl16Neural network training, fast and easy.
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JutulDarcyRules.jl6JutulDarcyRules: ChainRules extension to Jutul and JutulDarcy
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EasyModelAnalysis.jl74High level functions for analyzing the output of simulations
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ContrastiveDivergenceRBM.jl0-
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CrystallographyRecipes.jl0-
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DeepUnfoldedCDLMotif.jl0Unfolded convolutional learning for motif discovery
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QuantumDynamics.jl21Quantum dynamics simulation environment
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AutomationLabsModelPredictiveControl.jl3Advanced process control for AutomationLabs
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RBMsAnnealedImportanceSampling.jl0-
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MacroModelling.jl18Macros and functions to work with DSGE models.
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ReducedBasis.jl5Reduced basis methods for parametrised eigenproblems
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CudaRBMs.jl0-
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Fluxperimental.jl10Experimental features for Flux.jl
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MLJGaussianProcesses.jl0Gaussian Processes for MLJ
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UnfoldCDL.jl1Deep Unfolded Convolutional Dictionary Learning for motif discovery.
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Pigeons.jl34Distributed and parallel sampling from intractable distributions
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AutomationLabsDepot.jl2Warehouse for dynamical systems identification and control
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AutomationLabs.jl4A powerful, no code solution for control and systems engineering
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AutomationLabsIdentification.jl4Dynamical systems identification
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StarStats.jl2-
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PhyNEST.jl7A Julia package for estimating phylogenetic networks from genomic data
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InteractiveGPs.jl1Interface for fitting Gaussian processes
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StochasticAD.jl142Research package for automatic differentiation of programs containing discrete randomness.
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EvoLinear.jl7Linear models
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RobustNeuralNetworks.jl11A Julia package for robust neural networks.
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BaytesInference.jl1Plotting and inference utilities for Baytes.jl output.
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TuringBenchmarking.jl3-
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ActionModels.jl2A Julia package for behavioural modeling
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ReactiveDynamics.jl12A Julia package that implements a category of reaction (transportation) network-type dynamical systems.
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Sophon.jl36Neural networks and neural operators for physics-informed machine learning
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