CUDA integration for the NNlib API

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MPSGE for Julia

Convenient functions for working with panel (longitudinal) data in Julia

Interactive examples for different geodynamic problems

Locality-sensitive hashing (LSH) in Julia.

Reduced basis methods for parametrised eigenproblems

A Julia client for the JuliaHub platform

Extensible library for finite element programming

Structure-preserving numerical methods for dispersive shallow water models

A Julia package for Differential Evolution MCMC

Measures (metrics) for statistics and machine learning

Visualisation, output and fitting of the DAMM model

Proximity Queries for Parametric Curves

A pure Julia package built on top of Rasters.jl for visualizing, analyzing, and processing remotely sensed imagery.

Community Detection algorithms for LightGraphs

Classical adaptive linear filters in Julia

🧊 Coupled and stand-alone simulations of sea ice for Earth system modeling

A model framework for the interpretation of mineral age spectra in stratigraphic context

A Julia package for consensus-based optimisation

Centripetal Catmull-Rom curves for interpoint traversal

Bayesian AB testing experiments.

Visualize automotive simulation from AutomotiveSimulator.jl

Ecosystem for writing partial differential equation solvers

Metrics for evaluation of Machine Learning and Deep Learning Models

Julia Wrappers for SoapySDR

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EHT Image domain analysis through template matching.

Population data analysis in Julia

Tidier analysis of categorical variables, modeled after the forcats R package.

An astrodynamics package for working in the three body problem

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DSL for Financial Contracts.

Numerical integration methods for structural dynamics problems

ProToPortal: The Portal to the Magic of PromptingTools and Julia-first LLM Coding

A data-driven model fitting framework

Thermodynamic Integration for Turing models and more

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.

Organize Scanning Probe Microscopy (SPM, STM, AFM) Images and Spectra.