Julia package for performing rigorous arithmetic of Imprecise Probabilities with fuzzy numbers

-

Discrete choice/random utility models in Julia

Julia package with several functions to train and analyze Autoencoder-based neural networks

Portfolio optimization

A Julia library of positivity-preserving time integration methods

Adaptive stress testing of black-box systems within POMDPs.jl

Numerical integration methods for structural dynamics problems

Transfer entropy (conditional mutual information) estimators for the Julia language

Generate audiory stimuli

-

A modular hydrodynamic code written in pure Julia

Matching algorithms for LightGraphs.jl

EHT Image domain analysis through template matching.

Population data analysis in Julia

Tools for general Tight Binding systems

Julia implementation of Smooth Local Projections (SLP)

ModelWrappers.jl is a utility package that makes it easier to work with Model parameters stated as (nested) NamedTuples.

Implementation of Integral Probability Measures in Julia

Package Information and Documentation

-

A data-driven model fitting framework

Multivariate cumulants of any order

A generic and fast solver of mode-coupling theory-like integrodifferential equations

Thermodynamic Integration for Turing models and more

A flexible Julia toolkit for high-dimensional cellular profiles

Julia dashboard for analysis of cryptocurrency market data

Tools to perform group contribution (GC) identification, given the SMILES of a compound

Julia GARCH package

Thread-safe and flexible temporary arrays and object cache for semi-manual memory management

Nonnegative Matrix Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning

Fast and Accurate Computation of Projected Two-point Functions

-

Julia package for Markov chains in continuous time.

Massively parallel hybrid particle-field molecular dynamics (hPF-MD) simulation method in Julia

Building and using pyramids for large raster data

Sklearn Interface and Distributed Training for Flux.jl

Approximate the product between infinite functional objects on a manifold -- i.e. belief products

Backward-filtering forward-guiding with StochasticDiffEq.jl

Unit and Integration Tests for JuMP NLP and MINLP solvers