LearningHorse.jl is the ML library for JuliaLang.

Local anisotropies and nonstationary spatial processes for the GeoStats.jl framework

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Ship maneuvering simulation tool with respect to ShipMMG model

Metric Gaussian Variational Inference

Find timezone from latitude and longitude

(Hierarchical) Phylogenetic Models in Julia

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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.

Neural-Network Outlier Detection Algorithms for Julia

Built-in solvers for the GeoStats.jl framework

Locally weighted regression solver for the GeoStats.jl framework

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

Calculates multidimensional functions faster by exploiting their separability.

A Julia based implementation of Plug and Play Language Models

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

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

Layerwise Relevance Propagation in Julia.

Utilities to read/write extended GSLIB files in Julia

A Julia package for modelling Algorithmic Recourse Dynamics.

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.

Bayesian addition to Flux.jl

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High performance hybrid Monte Carlo simulation

Julia implementation of the ISOKANN algorithm for the computation of invariant subspaces of Koopman operators

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

Julia Package for Active Inference

Data-driven models for extremely precise radial velocity (EPRV) spectra

Evidential Deep Learning Layers for Flux

Bayesian Safety Signal Detection in Julia

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

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Sampling library for Baytes modules

Compressed belief-state MDPs in Julia compatible with POMDPs.jl

Reliability-based optimization

A Julia package for integration of packages of Method of Moments (MoM) and Multi-level Fast Multipole Algorithm (MLFMA).

A Julia package for people that love to learn new things about constraints

A powerful, no code solution for control and systems engineering