Guaranteed parallel root finding focused on speed and reliability

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Statistical learning models for tabular data

Statistical Process Monitoring in Julia

Joint parameter and state inference for state space models using Bayesian techniques

StableSpectralElements.jl: Provably stable discontinuous spectral-element methods for conservation laws

Julia package for Light Based Tomographic Volumetric Additive Manufacturing.

Analyze SPM grid spectroscopy data.

Probabilistic inference using the symbolic method.

Method to study the cyclic and spectral properties of categorical time-series.

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A simple GPU-capable root solver package

Switched-On Bayes.

A Julia package to provide RML imaging methods for high-resolution radio interferometry

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Sole interface for trees trained via JuliaAI/DecisionTree.jl.

Lightweight module for fusing physical and neural models

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A pure-julia Sod shock tube problem

Reverse correlation using linear regression and compressed sensing for uncovering the psychoacoustic tinnitus spectrum

A single-cell RNA sequencing data analysis toolkit in Julia.

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Interpolations making use of cached data

Defines distance_profile and utilities

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Package allowing tensor calculations in arbitrary coordinate systems.

Convenience interfaces to Triangulate.jl and TetGen.jl

Simulating zonal flows on the β-plane.

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Generate simulated DNA sequences for regulatory genomics problems

Improves dual numbers support for SIMD use of ForwardDiff.jl.

An idealized atlantic

WiNDC Build Stream created in Julia

Functions to run the SBML Test Suite with SBMLToolkit, create logs and create reports for the SBML Test Suite Database

Julia-language port of the Sequencer algorithm, originally developed in python (https://github.com/dalya/Sequencer). The Sequencer finds trends in 1-dimensional data sets and has been used by its original authors for data analysis in astrophysics, seismology, image processing, etc. Contributions are welcome!

Julia package for numerical sensitivity analysis.

Seismic reconstruction tools for SeismicJulia project

Power Spectral Density Probability Density Functions Calculation in Julia.

A minimalist, platform-agnostic Julia package for univariate geophysical data.