BrikerMan / Kashgari

Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

Date Created 2019-01-19 (5 years ago)

Commits 955 (last one 3 years ago)

Stargazers 2,393 (0 this week)

Watchers 65 (0 this week)

Forks 440

License apache-2.0

Ranking

RepositoryStats indexes 598,732 repositories, of these BrikerMan/Kashgari is ranked #21,601 (96th percentile) for total stargazers, and #30,568 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #3,313/120,199.

BrikerMan/Kashgari is also tagged with popular topics, for these it's ranked: machine-learning (#681/8091), nlp (#162/2433), bert (#41/560), transfer-learning (#12/314), text-classification (#14/281), named-entity-recognition (#18/222)

Other Information

BrikerMan/Kashgari has 1 open pull request on Github, 98 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 27 open issues and 350 closed issues.

There have been 24 releases, the latest one was published on 2021-07-04 (3 years ago) with the name Release v2.0.2.

Homepage URL: http://kashgari.readthedocs.io/

All Topics

ner nlp bert gpt-2 seq2seq bert-model nlp-framework text-labeling machine-learning sequence-labeling transfer-learning text-classification named-entity-recognition

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0 commits on the default branch (v2-main) since jan '22

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updated: 2024-12-28 @ 01:17pm, id: 166495086 / R_kgDOCeyDbg