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Don't like dangling type parameters for matrices? We got you covered.

Modal association rules mining in Julia!

Precompile your recent environments after an Julia version update

Julia monitoring tools for ambient noise seismology.

Transformations for the SatelliteToolbox.jl ecosystem.

Save Flux model weights in Legolas-powered Arrow tables

Mocking Framework for AWS.jl

Layerwise Relevance Propagation in Julia.

Implementaion of Loop-TNR algorithm with Julia code and CUDA.jl

Julia Package for Matrix Imputation

Dynamic Gradients for Quantum Control

Mutating Julia immutables with unsafe_store! via fieldoffset and pointer_from_objref

Extension of `Graphs.jl` to graphs with named vertices.

Customizable key-based memoization for caching computations

A Poker hand evaluator, with Texas hold 'em in mind.

A package for computation in *-algebras with basis

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A simple workflow engine powered by Julia

Pigs might just fly.

Package to load all my other "Simple" packages

Efficient Handling of Trajectories with User Defined Named Components

Package to map SPH particle data to a cartesian grid

Sparse Particle Tree POMDP Solvers

This is a Julia library for processing ESA Sentinel 2 satellite data.

Automatically differentiate sparse systems of nonlinear equations

The "native Julia Mirror (NAJM)" can make a mirror repository, of Julia packages and registry.

Wrapper around the NCBI taxonomy files

Quantum Exact Simulation Toolkit is a high performance simulator of quantum circuits, state-vectors and density matrices

Solver for complemetarity-based dynamics.

Graph Compression using Quasi-stable Coloring

Parameterize Jupyter notebooks in Julia

A nonlinearly-constrained augmented-Lagrangian method

Calculates multidimensional functions faster by exploiting their separability.

Compute the nearest correlation matrix using a pure Julia implementation

Sampling quantum phase space distributions

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Proximal operators for use with RegularizedOptimization

Sometimes numbers don't matter. This can help you find when that is true.

Optimally tuned ridge regression when features can be partitioned into groups.