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1

MLJBase.jl

Core functionality for the MLJ machine learning framework

Repository for developers that provides core functionality for the MLJ machine learning framework. MLJ is a Julia framework for combining and tuning machine learning models. This repository provides core functionality for MLJ.

Downloads: 0 This Week

Last Update: 2026-04-12
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2

EEGLAB

EEGLAB is an open source signal processing environment

EEGLAB is an open source, MATLAB-based interactive environment for analyzing electrophysiological signals such as EEG and MEG. It incorporates powerful tools for data import, preprocessing, independent component analysis (ICA), time-frequency analysis, artifact rejection, and visualization—all within a GUI framework that also supports scripting and plugin extensions. EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and Octave (command...

Downloads: 11 This Week

Last Update: 2026-02-17
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3

Hyperspectral data analysis in R

Handling and basic analysis of hyperspectral data in R

The hsdar package contains classes and functions to manage, analyse and simulate hyperspectral data. These might be either spectrometer measurements or hyperspectral images through the interface of rgdal.

Downloads: 0 This Week

Last Update: 2025-01-08
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4

Bootstrap.jl

Statistical bootstrapping library for Julia

Bootstrapping is a widely applicable technique for statistical estimation.

Downloads: 0 This Week

Last Update: 2023-12-05
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5

TESTIMAGES

Testing images for scientific purposes

The TESTIMAGES archive is a huge and free collection of sample images designed for analysis and quality assessment of different kinds of displays and image processing techniques. The archive includes more than 2 million images originally acquired and divided in three different categories: SAMPLING and SAMPLING_PATTERNS (aimed at testing resampling algorithms), COLOR (aimed at testing color rendering on different displays) and PATTERNS (aimed at testing the rendering of standard geometrical patterns). Please cite the following papers when using any image in this archive: * ASUNI N, GIACHETTI A, "TESTIMAGES: A Large Data Archive For Display and Algorithm Testing", Journal of Graphics Tools, Volume 17, Issue 4, 2015, pages 113-125, DOI:10.1080/2165347X.2015.1024298 * ASUNI N, GIACHETTI A, "TESTIMAGES: a large-scale archive for testing visual devices and basic image processing algorithms", STAG - Smart Tools & Apps for Graphics Conference, 2014.

Downloads: 117 This Week

Last Update: 2017-05-11
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