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🧮 High-performance Material Point Method (MPM) Solver in Julia.

A Julia package for solving three-term recurrence relationships

Simulating quantum computing verification

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A Julia package for estimating effective (i.e., directed) connectivity in large (whole-brain) networks.

A Julia-powered toolkit for material point method

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A Julia package for Beta-like regression models useful for subjective scales data (Likert scales, analog scales, ...)

Simulate Packet Loss Ratio performance of Slotted Random Access Schemes

This is a package intended for exclusive work on bivariate copulas compatible with Distributions.jl

Compute and add convex (or concave) piecewise linear approximations of functions or a set of points to optimization models modelled in JuMP

Highly optimized K-SVD implementation in Julia, with several parallelization techniques available.

A Julia solver of Ring Star Problem variants

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Estimation in a mean field graph

Sole interface for trees trained via JuliaAI/DecisionTree.jl.

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Infinite random arrays in Julia.

Spatially-aware multivariate analysis and dimensionality reduction

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Julia implementation of the task-based production function from the paper Supply, Demand, Institutions, and Firms by Daniel Haanwinckel

Mirror of https://gitlab.kuleuven.be/numa/software/ApproximatingMapsBetweenLinearSpaces

Sparse Covariance and Precision matrix estimation

A Julia package for real-time audification of ODEs and SDEs

FishTank.jl creates an e-fish for you in case you feel lonely when you are coding.

Implementation of the Gandhi, Navarro, Rievers (2020) production function estimator.

A library to project an arbitrary function to an exponential family member distribution with the manifold optimization

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Manifolds for the natural parameters of members of the exponential family of distributions

A Julia package for multiple kernel learning based one-class support vector machine.

Noise modeling

Data structures for graph neural network

An easy to use Flux implementation of the Kolmogorov Arnold Network. This is a Julia version of TorchKAN.

Reimplementation of a truncated multivariate distribution with fast, exact minimax-tilting based sampling.

(Experimental) Predicting hand assignments in piano MIDI using neural networks

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Parameter estimation under uncertainty.