Collection of Functions useful for testing various packages in the Lux Ecosystem

Formulate likelihood problems and solve them with maximum likelihood estimation (MLE)

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CUDA solver for Metida.jl

Package for our new index of mnemonic discrimination

Abstract interface and base functions for simulation results

Similarity search indexes based on neighborhood approximation

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Largrange polynomial based spectral PDE solvers

Estimation of person parameters for item response models in Julia

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Poisson Solvers in 1D, 2D and 3D

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Subpackage of PowerDynamics.jl providing the functionality to solve/simulate the built models

Provides proximal operator evaluation routines and proximal optimization algorithms, such as (accelerated) proximal gradient methods and alternating direction method of multipliers (ADMM), for non-smooth/non-differentiable objective functions.

Radial Basis Function Surrogates

A reverse McCormick operator library

Romeo Occupation Matrix Energy Optimizer for DFT

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SMLMBoxer.jl is a Julia package that provides a fast and efficient method for detecting particles or blobs in a multidimensional image stack and cutting out sub-regions around local maxima.

A Julia package for simulating Social Sampling Theory

Adversarial Attack Tool for Knet

A package for discretizing trajectory data into a transition probability matrix using Ulam's method.

Deep Unfolded Convolutional Dictionary Learning for motif discovery.

A Julia package containing common types and utility functions shared by NSDE.jl and its subpackages.

Make recurrent layers in Flux much faster

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Unfolded convolutional learning for motif discovery

Julia code of CycleGAN based on pytorch implementation

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

A visualization package for the OpticSim Julia package

Colocalization metrics and distances for images or their sparse representations.

Use URNs in markdown links.

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

Standard data cleaning tools prior to generating BEAST xml file

Test cases for BAT.jl and for Bayesian Julia software in general

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Implementation of Asymptotic Numerical Method