This Julia package performs the numerical integration of two Approximated Master Equations on networks: the Cavity Master Equation and the Conditional Dynamic Approximation

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Bundle of Julia Packages related to Numerics

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Unsupervised Machine Learning: Nonnegative Tensor Networks + k-means clustering

Hyperelastic Material modelling with support for Automatic Differentiation

This package provides utility structs and functions to support solving RL problems

Circles and lines in the plane

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Plant hydraulics using numerical method

Set propagation for neural networks in Julia

Reusable NeRF components

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Collection of Collaborative Datasets for Persa.jl

Gaussian Mixture Model Parameter Estimation

Julia implementation of the Numenta Anomaly Benchmark

Particle methods for 1D conservation laws

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Julia Package for reading and writing MPI Files

A generic interface to indices in Julia with additional concrete types specified.

A package for analyzing molecular dynamics simulations of lipid membranes

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A MLJ wrapper to the R [HAL](https://github.com/tlverse/hal9001) package.

Julia wrapper for Persistence Landscape toolbox by Paweł Dłotko

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Majority system for judging ballroom dance competitions

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A package for simple algebra, calculus and evaluation of one dimensional functions. Can be used for approximation (splines, interpolation) and algebra.

Compactly supported basis functions in Julia

The tree Module for the MCPhylo.jl package.

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Make Inverse Modeling Easy!

Julia implementation of code for manipulating data from single molecule localization microscopy (SMLM) techniques

Gaussian Processes for MLJ

PlotlyGeometries.jl is a Julia package designed for creating and manipulating 3D geometrical shapes and visualizations using PlotlyJS.jl.

Examples calculations for the book "Value-Oriented Risk Management of Insurance Companies"

Analyze the layout of manuscript pages edited according to the conventions of the Homer Multitext project

Generalized linear models for cell-cell communication

Models of aerosol chemistry and physics using ModelingToolkit.jl