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Open Source Science

https://github.com/adrn/sagansonnets

https://github.com/adrn/sagansonnets

Science Score: 36.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ✓
    Committers with academic emails
    2 of 4 committers (50.0%) from academic institutions
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (6.7%) to scientific vocabulary

Keywords from Contributors

astronomy astrophysics notebook
Last synced: 10 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: adrn
  • License: mit
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 1.94 MB
Statistics
  • Stars: 0
  • Watchers: 5
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created almost 9 years ago · Last pushed about 6 years ago
Metadata Files
Readme License

README.md

SaganSonnets

Getting started

First, you have to generate a corpus from a JSON file containing the "units" of text. This could be individual sonnets if you want to generate sonnets, individual paragraphs, etc. In the below, you can put the file.json file anywhere, but I recommend just putting it in a "data" directory in this project. Other output (e.g., from training the model) will be written to a directory at data/../cache, i.e. from the <project root>/cache:

python scripts/make_corpus.py --data=data/limericks_all.json

Next you have to train the LSTM model:

python scripts/lstm.py --train --corpus=cache/limericks_all_corpus.txt

Once you have a few "weights" files, you can start generating text:

python scripts/lstm.py --sample \
--weights=cache/file_weights_00X.h5 \
--seed="There was" --nchars=100

Dependencies

Some of the dependencies are listed in the environment.yml file. You can create a new Anaconda environment set up to run these scripts with:

conda env create --file=environment.yml

Authors

  • Daniela Huppenkothen
  • Adrian Price-Whelan
  • Ellianna Schwab
  • Erik Tollerud

Owner

  • Name: Adrian Price-Whelan
  • Login: adrn
  • Kind: user
  • Location: NYC
  • Company: Flatiron Institute

GitHub Events

Total
Last Year

Committers

Last synced: about 1 year ago

All Time
  • Total Commits: 20
  • Total Committers: 4
  • Avg Commits per committer: 5.0
  • Development Distribution Score (DDS): 0.6
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Adrian Price-Whelan a****w@g****m 8
Erik Tollerud e****d@g****m 4
elliesch e****b@m****u 4
Daniela Huppenkothen d****n@n****u 4
Committer Domains (Top 20 + Academic)
nyu.edu: 1 macaulay.cuny.edu: 1

Issues and Pull Requests

Last synced: about 1 year ago

All Time
  • Total issues: 1
  • Total pull requests: 1
  • Average time to close issues: about 2 hours
  • Average time to close pull requests: 15 minutes
  • Total issue authors: 1
  • Total pull request authors: 1
  • Average comments per issue: 1.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • eteq (1)
Pull Request Authors
  • dhuppenkothen (1)
Top Labels
Issue Labels
Pull Request Labels

Dependencies

environment.yml pypi
  • Theano *
  • keras *