Analyze SPM grid spectroscopy data.

Power Spectral Density Probability Density Functions Calculation in Julia.

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Interpolations making use of cached data

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A Julia wrapper for the PORTA polyhedral analysis software.

Simulating zonal flows on the β-plane.

Utilities for turning DataFrames into panel-like data structures for use in causal inference models

Switched-On Bayes.

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Guaranteed parallel root finding focused on speed and reliability

Julia package for numerical sensitivity analysis.

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

Defines distance_profile and utilities

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

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

Generate simulated DNA sequences for regulatory genomics problems

Wynn's Epsilon Algorithm for transforming symbolic SymPy expressions

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Package allowing tensor calculations in arbitrary coordinate systems.

Statistical learning models for tabular data

Scalpels algorithm

Seismic reconstruction tools for SeismicJulia project

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Statistical Process Monitoring in Julia

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!

Fast forward simulations of extragalactic foregrounds

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

A julia package for the simulation of stirred tank reactor with surface, gasphase or user defined chemistry models

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An idealized atlantic

Convenience interfaces to Triangulate.jl and TetGen.jl

Julia Style Package Manager for RCall users

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

Non-critical functions for SeaPearl

Total Variation and Group Sparse Total Variation Denoising