https://github.com/cemac/lifd_torchautoencoders
Science Score: 13.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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○DOI references
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○Academic publication links
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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
Low similarity (11.0%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: cemac
- License: cc-by-4.0
- Language: Jupyter Notebook
- Default Branch: main
- Size: 1.82 MB
Statistics
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Leeds Institute for Fluid Dynamics Machine Learning For Earth Sciences
Auto Encoders
Installation and Requirements
This tutorial is designed to be run on the Leeds GPU machines following the howtorun instructions.
Running Locally
If you're already familiar with git, anaconda and virtual environments the environment you need to create is found in AE.yml and the code below to install activate and launch the notebook. The .yml file has been tested on the latest linux, macOS and windows operating systems.
bash
git clone git@github.com:cemac/LIFD_TorchAutoEncoders.git
cd LIFD_TorchAutoEncoders
conda env create -f AE.yml
conda activate AE
jupyter-notebook
Licence information
LIFDCDTML_NOTEBOOKS by cemac is licensed under a Creative Commons Attribution 4.0 International License.
Acknowledgements
This notebook was developed by Arash Rabbani
Owner
- Name: Centre for Environmental Modelling And Computation
- Login: cemac
- Kind: organization
- Location: Leeds
- Website: www.cemac.leeds.ac.uk
- Twitter: CEMAC_Leeds
- Repositories: 53
- Profile: https://github.com/cemac
software to support environmental science
GitHub Events
Total
- Watch event: 1
- Member event: 1
- Push event: 5
- Pull request event: 2
- Create event: 3
Last Year
- Watch event: 1
- Member event: 1
- Push event: 5
- Pull request event: 2
- Create event: 3