masterthesis
Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic links in README
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Unable to calculate vocabulary similarity
Last synced: 9 months ago
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JSON representation
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Repository
Basic Info
- Host: GitHub
- Owner: BrendanAnalikwu
- Language: Python
- Default Branch: master
- Size: 254 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created about 3 years ago
· Last pushed over 1 year ago
Metadata Files
Citation
Owner
- Login: BrendanAnalikwu
- Kind: user
- Repositories: 1
- Profile: https://github.com/BrendanAnalikwu
Citation (citation.cff)
cff-version: 1.2.0
title: Deep learning based sea ice dynamics
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Brendan
family-names: Analikwu
repository: 'https://github.com/BrendanAnalikwu/MasterThesisGascoigne'
keywords:
- Sea ice dynamics
- U-Net
- Deep learning
- Pytorch
- Convolutional neural network
url: "https://github.com/BrendanAnalikwu/MasterThesis"
license: MIT