https://github.com/aclai-lab/multidata.jl

Multimodal datasets for Machine-Learning
https://github.com/aclai-lab/multidata.jl

dataframes-jl julia machine-learning multimodal-learning multimodal-machine-learning

Last synced: 10 months ago
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Multimodal datasets for Machine-Learning

• Host: GitHub
• URL: https://github.com/aclai-lab/multidata.jl
• Owner: aclai-lab
• License: mit
• Created: 2024-02-02T13:38:20.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2024-02-25T13:41:35.000Z (about 2 years ago)
• Last Synced: 2024-04-25T15:04:56.711Z (about 2 years ago)
• Topics: dataframes-jl, julia, machine-learning, multimodal-learning, multimodal-machine-learning
• Language: Julia
• Homepage:
• Size: 428 KB
• Stars: 3
• Watchers: 2
• Forks: 0
• Open Issues: 3
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          


# MultiData.jl – Multimodal datasets

[![Stable](https://img.shields.io/badge/docs-stable-blue.svg)](https://aclai-lab.github.io/MultiData.jl)

[![Dev](https://img.shields.io/badge/docs-dev-blue.svg)](https://aclai-lab.github.io/MultiData.jl/dev)

[![Build Status](https://api.cirrus-ci.com/github/aclai-lab/MultiData.jl.svg?branch=main)](https://cirrus-ci.com/github/aclai-lab/MultiData.jl)

[![Coverage](https://codecov.io/gh/aclai-lab/MultiData.jl/branch/main/graph/badge.svg?token=LT9IYIYNFI)](https://codecov.io/gh/aclai-lab/MultiData.jl)

## In a nutshell

*MultiData* provides a **machine learning oriented** data layer on top of DataFrames.jl for:

- Instantiating and manipulating [*multimodal*](https://en.wikipedia.org/wiki/Multimodal_learning) datasets for (un)supervised machine learning;

- Describing datasets via basic statistical measures;

- Saving to/loading from *npy/npz* format, as well as a custom CSV-based format (with interesting features such as *lazy loading* of datasets);

- Performing basic data processing operations (e.g., windowing, moving average, etc.).

## About

The package is developed by the [ACLAI Lab](https://aclai.unife.it/en/) @ University of

Ferrara.

*MultiData.jl* was originally built for representing multimodal datasets in

[*Sole.jl*](https://github.com/aclai-lab/Sole.jl), an open-source framework for

*symbolic machine learning*.