Sign inGet started
Repository · GitHub

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.

OwnerBrikerMan
License (as declared)Apache-2.0
Stars2,381
Forks428
Main languagePython
Created19 January 2019
Last updated at source3 September 2024
pythonbertbert-modelgpt-2machine-learningnamed-entity-recognitionnernlpnlp-frameworkseq2seqsequence-labelingtext-classificationtext-labelingtransfer-learning
Embed this entry
<iframe src="https://silytics.si/embed/item/8090ccb5-2555-482f-9bb2-b4b9390a23f0" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from GitHub and links to the original. Information may be incomplete or out of date. Last refreshed 15 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.