devmount / GermanWordEmbeddings

Toolkit to obtain and preprocess German text corpora, train models and evaluate them with generated testsets. Built with Gensim and Tensorflow.

Date Created 2015-05-22 (9 years ago)

Commits 185 (last one 3 months ago)

Stargazers 235 (0 this week)

Watchers 12 (0 this week)

Forks 50

License mit

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RepositoryStats indexes 585,880 repositories, of these devmount/GermanWordEmbeddings is ranked #159,402 (73rd percentile) for total stargazers, and #177,706 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #3,591/17,153.

devmount/GermanWordEmbeddings is also tagged with popular topics, for these it's ranked: deep-learning (#3,225/8407), nlp (#898/2403), natural-language-processing (#554/1412), neural-network (#449/1094), deep-neural-networks (#261/628), training (#71/213)

Other Information

devmount/GermanWordEmbeddings has Github issues enabled, there is 1 open issue and 14 closed issues.

Homepage URL: https://devmount.github.io/GermanWordEmbeddings/

All Topics

nlp model gensim training word2vec evaluation deep-learning neural-network german-language word-embeddings deep-neural-networks natural-language-processing

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27 commits on the default branch (master) since jan '22

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The primary language is Jupyter Notebook but there's also others...

updated: 2024-11-18 @ 03:52am, id: 36061148 / R_kgDOAiY_3A