Array quantization and compression

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Classical adaptive linear filters in Julia

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Community Detection algorithms for LightGraphs

Metrics for evaluation of Machine Learning and Deep Learning Models

FEMBasis contains interpolation routines for finite element function spaces. Given ansatz and coordinates of domain, shape functions are calculated symbolically in a very general way to get efficient code. Shape functions can also be given directly and in that case partial derivatives are calculated automatically.

A model framework for the interpretation of mineral age spectra in stratigraphic context

Proximity Queries for Parametric Curves

Package to build Cases for Power Systems Modeling

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Ecosystem for writing partial differential equation solvers

Generate audiory stimuli

ChainRulesCore compatible pullbacks using ForwardDiff

The Biochemical Algorithms Library in Julia

Orbital dynamics and waveforms for binary black-hole systems, in the post-Newtonian approximation

Julia package for association rule learning

A flexible Julia toolkit for high-dimensional cellular profiles

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

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

Integrated Transmission and Distribution Optimization

A Julia package for estimating phylogenetic networks from genomic data

Extended XYZ read/write support for Julia

Protein ribbon plots implemented in Julia using Makie

A Julia package to support forward-mode auto-differentiation for fast transforms

A Julia package for fitting the equation of state of solids, and more

Exact reduction of ODE models via linear transformations

Providing probability distributions and non-negative measures over finite sets, whose elements are labelled.

A Julian abstract interface for atomistic calculators.

Julia dashboard for analysis of cryptocurrency market data

Julia package for finding the longest simple path in a graph.

A modular hydrodynamic code written in pure Julia

Implementation of Integral Probability Measures in Julia

Julia interface for MIPLearn, an extensible framework for Learning-Enhanced Mixed-Integer Optimization

Package Information and Documentation

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

Few special functions in Julia. Includes Clausen function, Coulomb wave functions, Debye function, Fresnel functions, Struve function, Hypergeometric functions, Confluent hypergeometric functions, Fermi-Dirac

Implementation fo ray transfer matrix analysis for optical beams

Empirical probability distributions in Julia

Julia client for connecting to FHIR (Fast Healthcare Interoperability Resources) servers and building SMART on FHIR applications