Linear models

Analysis Tool for Astrophysical Simulation Data in the Julia Language

A three-way bridge between ExpressionTreeForge.jl, PartitionedStructures.jl and PartiallySeparableSolvers.jl

A Julia package for parameterized convex approximators including parameterized log-sum-exp (PLSE) network.

HorseML.jl is the ML library for JuliaLang.

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Direct transcription of an optimal control problem and resolution

MLJ.jl interface for JLBoost.jl

LearningHorse.jl is the ML library for JuliaLang.

MLJ.jl interface for JLBoost.jl

A Julia package for building production-ready measures (metrics) for statistics and machine learning

Trust-region methods with partitioned quasi-Newton approximations

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Ship maneuvering simulation tool with respect to ShipMMG model

Connecting MLJ and MLFlow

An NLPModels Interface to Knet

DNA Motif discovery that includes the discovery of flexible (long or gapped) motifs.

GraphNetCore.jl is a software package for the Julia programming language that provides an the core functionality of the MeshGraphNets.jl package. Some parts are based on the implementation of the MeshGraphNets framework by Google DeepMind for simulating mesh-based physical systems via graph neural networks.

A decision-making framework for the cost-efficient design of experiments, balancing the value of acquired experimental evidence and incurred costs.

A Julia package for real-time audification of ODEs and SDEs

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Neural-Network Outlier Detection Algorithms for Julia

Backend for Lux.jl

Unfortunately, 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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Jet operator pack for seismic modeling dependent on WaveFD.jl. Part of the COFII framework.

Independent Hypothesis Weighting for multiple testing with side-information in Julia

Julia implementation of the Gumbel-Softmax reparametrization trick compatible with Zygote and ForwardDiff

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A Julia based implementation of Plug and Play Language Models

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Layerwise Relevance Propagation in Julia.

Package for fitting models according to the deep compartment modeling framework for pharmacometric applications.

Bayesian addition to Flux.jl

A Julia package for modelling Algorithmic Recourse Dynamics.

Subspace Inference package for uncertainty analysis in deep neural networks and neural ordinary differential equations using Julia

Evidential Deep Learning Layers for Flux

A small Julia package to facilitate working with the Trillion Dollar Words dataset.