https://github.com/cemac/lifd_generativeadversarialnetworks
Jupyter Notebooks Tutorials on Generative Adversarial Networks
Science Score: 10.0%
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
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○.zenodo.json file
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○DOI references
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✓Academic publication links
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○Scientific vocabulary similarity
Low similarity (11.9%) to scientific vocabulary
Repository
Jupyter Notebooks Tutorials on Generative Adversarial Networks
Basic Info
- Host: GitHub
- Owner: cemac
- License: cc-by-4.0
- Language: Jupyter Notebook
- Default Branch: main
- Homepage: https://cemac.github.io/LIFD_ENV_ML_NOTEBOOKS/
- Size: 16.4 MB
Statistics
- Stars: 0
- Watchers: 0
- Forks: 1
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Leeds Institute for Fluid Dynamics Machine Learning For Earth Sciences
Random Forests
Recommended Background Reading
Quick look
If you want a quick look at the contents inside the notebook before deciding to run it please view the md file generated (note some HTML code not fully rendered)
Quick start
Google CoLab
Google allows you 1 free GPU and this tutorial will run in less than an hour on googles sytem. Please save a copy in your google drive if you would like to save your work and model weights.
Binder
You can run this notebook on binder link above (please allow a few minutes for set up), using saved model weights on free CPUS.
Running Locally
If you're already familiar with git, anaconda and virtual environments the environment you need to create is found in GAN.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_GenerativeAdversarialNetworks.git
cd LIFD_GenerativeAdversarialNetworks
conda env create -f GANS.yml
conda activate GANS
jupyter-notebook
Installation and Requirements
This notebook is designed to run on a laptop with no special hardware required therefore recommended to do a local installation as outlined in the repository howtorun and jupyter_notebooks sections.
Licence information
LIFDENVML_NOTEBOOKS by cemac is licensed under a Creative Commons Attribution 4.0 International License.
Acknowledgements
Thanks to Caitlin Howarth for the basis of this tutorial. This tutorial is part of the LIFD ENV ML NOTEBOOKS please refer to for full acknowledgements.
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
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- Pull request event: 1
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- Pull request event: 1
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Last synced: 10 months ago
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- Total pull requests: 1
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- Average time to close pull requests: 11 months
- Total issue authors: 0
- Total pull request authors: 1
- Average comments per issue: 0
- Average comments per pull request: 0.0
- Merged pull requests: 0
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Top Authors
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- donaldcummins (1)
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Dependencies
- actions/checkout v2 composite
- mamba-org/provision-with-micromamba main composite