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https://github.com/boyanangelov/species2vec

Species vector representations

https://github.com/boyanangelov/species2vec

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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    Links to: biorxiv.org, zenodo.org
  • ○
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    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (4.1%) to scientific vocabulary

Keywords

ecological-modelling embeddings machine-learning
Last synced: 6 months ago · JSON representation

Repository

Species vector representations

Basic Info
  • Host: GitHub
  • Owner: boyanangelov
  • License: mit
  • Language: Jupyter Notebook
  • Default Branch: master
  • Homepage:
  • Size: 5.4 MB
Statistics
  • Stars: 4
  • Watchers: 2
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Topics
ecological-modelling embeddings machine-learning
Created over 7 years ago · Last pushed over 7 years ago
Metadata Files
Readme License

README.md

species2vec

DOI

bioRxiv pre-print: https://www.biorxiv.org/content/early/2018/11/05/461996

Usage instructions:

```python import gensim

load species embeddings

m = gensim.models.KeyedVectors.loadword2vecformat('mammalia_6M.vec')

test species embeddings

m.mostsimilar(u'Grammomysibeanus') ```

Two sets of embeddings are included in this repository (mammalia_6M.vec amd reptilia_3M.vec). If you need to generate new ones, have a look at the tutorial notebook in notebooks/species2vec_tutorial.ipynb.

Owner

  • Name: Boyan Angelov
  • Login: boyanangelov
  • Kind: user
  • Location: Berlin, Germany

Data Strategist | Author | Researcher (Complexity, AI)

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