Low-cost linear algebra functions for matrices with units

Julia package to easily manage Sessions using Genie.jl Framework.

Model comparison functions for statistical models as used in StatisticalRethinking. Version 2 will likely use or be based on ParetoSmooth.jl.

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Julia bindings to Vega

Data processor for Vlasiator

A Julia library to resample timeseries (from TimeSeries.jl)

Numerical Methods for Vlasov-Poisson and Vlasov-Maxwell Systems

Julia implementation of the Taylor-Fourier Transform (TFT)

A Julia package for computing singular integrals

A Julia package to represent strided views over a parent DenseArray

Strategy simulation for simple games.

Voronoi diagrams in N dimensions using an improved raycasting method.

Package for unfolding of complex 3-D geometries.

Counterfactual Regret Minimization Game solution methods for Julia

Core utilities for PopGen.jl, including the PopData type and file IO

Definitions of the Julia types for simulating an ISO's market clearing.

Julia implementation of Autocorrelation Wavelets.

An unofficial implementation of publicly available approximated polynomial models for NASA's Generic Transport Model aircraft.

Julia package for football analytics

Julia package for performing Bloch simulations within the context of Magnetic Resonance Imaging

Independent Hypothesis Weighting for multiple testing with side-information in Julia

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

Algorithms for performing angular differential imaging (ADI)

A non-linear Schrödinger equation solver for julia

Optimization of Energy Communities in Julia

Save videos from Julia

Anytime error minimization search for POMDPs, implemented in Julia.

Quantum mechanical few body systems in Julia

Calculates multidimensional functions faster by exploiting their separability.

Point-based value iteration solver for POMDPs

Fast implementations of FastICA and DUET for blind source separation

A simple workflow engine powered by Julia

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A Julia package for piecewise spectral methods such as p-FEM

A thin wrapper over Bridge.jl for the SciML scientific machine learning common interface, enabling new methods for neural stochastic differential equations (neural SDEs)

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Provides a general framework for implementing and performing Kernel Density Estimation

Symmetry-allowed k ⋅ p expansions

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