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juliahub.com : ResettableStacks
A stack implementation with a reset! function which avoids garbage collection for scientific machine learning (SciML)
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purl: pkg:julia/ResettableStacks
Keywords: scientific-machine-learning, data-structures, sciml
License: MIT
Latest release: over 1 year ago
First release: almost 6 years ago
Dependent packages: 1
Stars: 7 on GitHub
Forks: 11 on GitHub
Total Commits: 53
Committers: 16
Average commits per author: 3.313
Development Distribution Score (DDS): 0.736
More commit stats: commits.ecosyste.ms
See more repository details: repos.ecosyste.ms
Funding links: https://github.com/sponsors/SciML
Last synced: 1 day ago