ai-storytelling-backstage
🛠Support material for the upcoming University of Edinburgh course AI and Storytelling
Science Score: 31.0%
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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â—‹.zenodo.json file
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â—‹Scientific vocabulary similarity
Low similarity (11.7%) to scientific vocabulary
Repository
🛠Support material for the upcoming University of Edinburgh course AI and Storytelling
Basic Info
- Host: GitHub
- Owner: pkage
- License: mit
- Language: Jupyter Notebook
- Default Branch: main
- Homepage: https://kage.dev/ai-storytelling-backstage
- Size: 21.8 MB
Statistics
- Stars: 4
- Watchers: 2
- Forks: 0
- Open Issues: 1
- Releases: 0
Metadata Files
README.md
AI and Storytelling
what?
This repository contains all the backstage information for the AI and
Storytelling course, including
workshop sources and the aist wrapper library.
If you wish to use this project in your own work, please cite it with:
bibtex
@misc{andreadiskage_artificial_2022,
title = {Artificial {{Intelligence}} and {{Storytelling}}},
shorttitle = {{{AIST}}},
author = {Andreadis, Pavlos and Kage, Patrick},
year = {2022},
month = oct,
abstract = {
A series of packages for easily and reproducibly running pre-trained
image and text generation and manipulation models.
},
copyright = {MIT License},
howpublished = {The University of Edinburgh}
}
how?
Install poetry:
sh
$ curl -sSL https://raw.githubusercontent.com/python-poetry/poetry/master/get-poetry.py | python -
This snippet might be useful for activating the poetry environment without having to create a new shell. Just type activate in a poetry directory and it'll set you up:
sh
alias activate="poetry env info --path && source \`poetry env info --path\`/bin/activate"
Install the project dependencies:
sh
$ cd code
$ poetry install
Open up the code directory, and install the IPython kernel for the poetry
environment:
sh
$ poetry run python -m ipykernel install --user --name=aist
Then, you can start Jupyter in that directory:
sh
$ jupyter lab
See the colabs linked from the course website for some examples.
Owner
- Name: Patrick Kage
- Login: pkage
- Kind: user
- Location: Edinburgh, Scotland
- Company: The University of Edinburgh
- Website: https://ka.ge
- Repositories: 142
- Profile: https://github.com/pkage
Doing a PhD in AI, and work in Python/Javascript/C/Julia. I like scientific computing and Svelte. When I'm not being a massive nerd, I go scuba diving.
Citation (CITATION.bib)
@misc{andreadiskage_artificial_2022,
title = {Artificial {{Intelligence}} and {{Storytelling}}},
shorttitle = {{{AIST}}},
author = {Andreadis, Pavlos and Kage, Patrick},
year = {2022},
month = oct,
abstract = {
A series of packages for easily and reproducibly running pre-trained
image and text generation and manipulation models.
},
copyright = {MIT License},
howpublished = {The University of Edinburgh}
}
GitHub Events
Total
- Push event: 1
Last Year
- Push event: 1
Dependencies
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