Lightweight Factored Spectrally Transformed Linear Mixed Models

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Simulating quantum computing verification

Using Chebyshev polynomials to interpolate/gather particles onto mesh grids.

Julia Package for monthly SPEI calculation

Import Dolo models from a YAML file.

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Colocalization metrics and distances for images or their sparse representations.

Time-domain solver for the electromagnetic fields produced by arbitrary (electric and magnetic) charges and currents.

Tiny Julia package that contains calculations for discrete choice models (used in economics).

Conduct one-way and multi-way anova in Julia with MixedModels.jl

Dimension reduction regression for Julia

Library for constructing transformation matrices for Coherent Node Cluster model-order reduction for use with FinEtools.jl

All wannier related calculations, manipulations and visualizations.

DeepForest Impletmentation in Julia

Julia package for recovering stratified spaces underlying point clouds.

Interfacing with Beckman-Coulter Multisizer/Z2 Coulter Counter files (.#=Z2, etc) in Julia

Construct log densities with deterministic samples using low-discrepancy sequences.

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Deep-learning sliding window attention with circular boundary conditions. No tokenization, no patchify-ing.

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Julia code of CycleGAN based on pytorch implementation

A box-picking POMDP created using POMDPs.jl

Package for solving steady state thermodynamic cycles

Reduce re-identification risk while preserving temporal relationships in health data sets

Algorithms for the transport of mass and energy in the environment

Unfolded convolutional learning for motif discovery

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A library to perform particle MCMC proposal steps for parameter in a `ModelWrapper` struct, see [ModelWrappers.jl](https://github.com/paschermayr/ModelWrappers.jl).

Approximation Package for High-Dimensional Functions in Julia

A library to perform MCMC proposal steps on `ModelWrapper` structs, see ModelWrappers.jl.

This is a dimensionality reduction algorithm which has the goal of maintaining interpretability i.e we eliminate variables directly from potential models that don't seem to add any predictive power.

A Julia package for inverting Taylor series

Explores representations based on bag words