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Julia package for Optical fibers

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

Implementation of control methods for analytical parameterized control fields

Robustness-inducing transformations for sparse partial least squares

Useful functions to work with groups defined in Manifolds.jl

Tensor Trains, mostly as probability distributions

The gap between theory and practice is in practice greater than in theory.

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Algebraic Theory of q-ry Gray Coding. Encoding, Decoding, Some applications. See https://nivupai.github.io/GrayCoding.jl/dev/

Reduced Basis Methods for Particle Systems

A Julia package for non-parametric Mann Kendall family of trend tests.

Julia vectors whose first and last indices are any integers

Model associated to Elife paper Rodrigues et al. 2023

A reverse McCormick operator library

Pre-attentive attentive vision

CUDA solver for Metida.jl

Compactly supported basis functions in Julia

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Estimation of Shannon Entropy for Discrete Random Variables

An implementation of the ALGOIM quadrature method on implicitly defined regions.

BayesBase is a package that serves as an umbrella, defining, exporting, and re-exporting methods essential for Bayesian statistics

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

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

A collection of microscopy tools

Vector subspaces in Julia

Plotting Radiotherapy Beam-Limiting Devices using Plots.jl

Gaussian Mixture Model Parameter Estimation

Additional layers and functions for Flux.jl.

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

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Transliterate Beta Code Greek to Unicode Greek

Small package to extract coordinates of countries border

Package for the execution of the Point Estimate Method (PEM) with arbitrary number of representative points.

Algorithms for Risk Parity and Risk Budgeting portfolios for CV@R, using simulated scenarios

Julia implementation of our multi-operation blank localization method

Implementation of Guided Proposals (introduced by M Schauer, F van der Meulen, H van Zanten)

External Machine Learning Libs for TSML

Julia implementation of various algorithms to evaluate elementary symmetric functions