Efficient sparse modelling with JuMP

The base package for Optimization.jl, containing the structs and basic functions for it.

Reduced basis methods for parametrised eigenproblems

Computational logic in Julia!

Helper files for using `Julia` with MTH229.

Symbolics-based function property propagation for optimization

A Julia package for Interpretable Compositional Networks (ICN), a variant of neural networks, allowing the user to get interpretable results, unlike regular artificial neural networks.

EHT Image domain analysis through template matching.

Building and using pyramids for large raster data

RCall support for MixedModels.jl and lme4

A simple graph type with data on the vertices and edges.

Duality of view between named variables and flat vectors in Julia

Geostatistical clustering methods for the GeoStats.jl framework

A Tensor Network Library (TenNetLib.jl) built on top of ITensors.jl for quantum many-body problems.

Duality of view between named variables and flat vectors in Julia

Symbolic modeling in Julia!

Interface for approximate and exact equality

Julia library for visualization and annotation medical images, specialized particularly for rapid development segmentation of 3 dimensional images like CT or PET/CT scans. Has full support of nuclear medicine Data.

Julia implementation of Modal Decision Trees & Forests, for interpretable classification of spatial and temporal data. Long live Symbolic Learning!!

Manage unstructured and multimodal datasets!

Lightweight module of neural differential equations in Kinetic.jl

A Julia package for behavioural modeling

Process airborne laser scans into raster images

Unpacking nested data structures into Tables

Optimal experimental design of ODE and DAE systems in julia

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A tool for the combination and EFT interpretation of measurements in Julia

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Multidimensional dictionaries in Julia, built on top of Dictionaries.jl.

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Plotting functionality for MixedModels.jl implemented in Makie

Quantum many body systems with Pauli strings

Ship maneuvering simulation tool with respect to ShipMMG model

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

Next Generation Genomic Prediction Tools

Metric Gaussian Variational Inference

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Julia implementation of various electron-correlation methods (main focus on coupled cluster methods).

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

Locally weighted regression solver for the GeoStats.jl framework