A Julia package supplying abstractions and operations for efficiently working with parcels, or regions of interest, on a CorticalSurface

Plotting in the complex plane for Julia.

Merging components in nonnegative matrix factorization

NetCDF support for climate model output and domain decompositions

Physics-informed Machine Learning

A lightweight Julia package for eQTL genome scans near real-time.

Set of CUDA accelerated medical segmentation metrics.

State space reconstruction (SSR) for the study of dynamical system from time series.

Reweighting survey data so that it sums to some target totals.

Empirical distribution fitting for Rasters.jl.

Interactive visualisations for the variational polaron problem with Makie.

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Common utilities for high-contrast imaging

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Solution objects for the GeometricIntegrators ecosystem

Multimodal datasets for Machine-Learning

Fitting astrophysical star formation histories via CMD modelling.

Hidden Markov model and unsupervised hypothesis generator for signal processing and anomaly detection.

The Dynamic Agroforestry Coffee Crop Model in Julia

🌱 example of DSSAT-like crop model written in Cropbox

A Julia package to perform large-scale sparse diagonalization.

[WIP] High performance monotonic splines in Julia

GPU-compatible implementations of the ChaCha stream cipher family

A Julia package for computing q-deformed Wigner Symbols and related quantities.

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Scalable and distributed matrix-free abstractions for machine learning and scientific computing

Computational models of algorithmic competition

Test images for evaluating MPI simulation frameworks.

Gross-Pitaevskii and Bogoliubov-de Gennes in 2D

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

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

NetCDF tools for CMIP6 data processing

Plots regularization paths generated by Lasso.jl

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Utilities for kite power system simulations

Traits for specifying the orientation of features and observations in data

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Julia package with Daubechies wavelets on an interval