proxy.golang.org : github.com/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.
Registry
-
Source
- Documentation
- JSON
purl: pkg:golang/github.com/%21briker%21man/%21kashgari
Keywords:
bert
, bert-model
, gpt-2
, machine-learning
, named-entity-recognition
, ner
, nlp
, nlp-framework
, seq2seq
, sequence-labeling
, text-classification
, text-labeling
, transfer-learning
License: Apache-2.0
Latest release: over 4 years ago
First release: over 6 years ago
Stars: 2,389 on GitHub
Forks: 434 on GitHub
Total Commits: 848
Committers: 23
Average commits per author: 36.87
Development Distribution Score (DDS): 0.127
More commit stats: commits.ecosyste.ms
See more repository details: repos.ecosyste.ms
Funding links: https://patreon.com/brikerman
Last synced: 20 days ago