https://github.com/aclai-lab/multidata.jl
Multimodal datasets for Machine-Learning
Science Score: 26.0%
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○CITATION.cff file
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✓codemeta.json file
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✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Committers with academic emails
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (12.5%) to scientific vocabulary
Keywords
Repository
Multimodal datasets for Machine-Learning
Basic Info
Statistics
- Stars: 5
- Watchers: 3
- Forks: 0
- Open Issues: 3
- Releases: 7
Topics
Metadata Files
README.md
MultiData.jl – Multimodal datasets
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In a nutshell
MultiData provides a machine learning oriented data layer on top of DataFrames.jl for: - Instantiating and manipulating multimodal 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 @ University of Ferrara.
MultiData.jl was originally built for representing multimodal datasets in Sole.jl, an open-source framework for symbolic machine learning.
Owner
- Name: Applied Computational Logic and Artificial Intelligence Laboratory
- Login: aclai-lab
- Kind: organization
- Email: aclai@unife.it
- Location: Italy
- Website: aclai.unife.it
- Repositories: 14
- Profile: https://github.com/aclai-lab
Applied Computational Logic and Artificial Intelligence (ACLAI) Laboratory of the Department of Mathematics and Computer Science, University of Ferrara
GitHub Events
Total
- Release event: 2
- Watch event: 2
- Delete event: 1
- Issue comment event: 5
- Push event: 12
- Create event: 2
Last Year
- Release event: 2
- Watch event: 2
- Delete event: 1
- Issue comment event: 5
- Push event: 12
- Create event: 2
Committers
Last synced: 8 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| giopaglia | 2****a | 27 |
| mauro-milella | m****o@l****t | 2 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 2
- Total pull requests: 2
- Average time to close issues: less than a minute
- Average time to close pull requests: N/A
- Total issue authors: 2
- Total pull request authors: 1
- Average comments per issue: 14.5
- Average comments per pull request: 0.0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 2
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- giopaglia (1)
- JuliaTagBot (1)
Pull Request Authors
- github-actions[bot] (4)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
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Total downloads:
- julia 6 total
- Total dependent packages: 2
- Total dependent repositories: 0
- Total versions: 7
juliahub.com: MultiData
Multimodal datasets for Machine-Learning
- Documentation: https://docs.juliahub.com/General/MultiData/stable/
- License: MIT
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Latest release: 0.1.4
published about 1 year ago
Rankings
Dependencies
- julia-actions/setup-julia v1 composite
- actions/checkout v2 composite
- julia-actions/setup-julia latest composite
- JuliaRegistries/TagBot v1 composite
- actions/checkout v2 composite
- codecov/codecov-action v3 composite
- julia-actions/julia-buildpkg v1 composite
- julia-actions/julia-processcoverage v1 composite
- julia-actions/julia-runtest v1 composite
- julia-actions/setup-julia v1 composite