BrikerMan/Kashgari
Kashgari is a TensorFlow-based NLP framework for text labeling and classification tasks.
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Kashgari is a production-level NLP transfer learning framework built on top of tf.keras that supports text-labeling and text-classification tasks. It includes language embedding support for Word2Vec, BERT, and GPT2 models. The framework provides capabilities for named-entity recognition (NER), sequence labeling, and supports standard NLP workflows like seq2seq.
Frequently asked
- What is BrikerMan/Kashgari?
- Kashgari is a TensorFlow-based NLP framework for text labeling and classification tasks.
- Is Kashgari open source?
- Yes — BrikerMan/Kashgari is open source, released under the Apache-2.0 license.
- What language is Kashgari written in?
- BrikerMan/Kashgari is primarily written in Python.
- How popular is Kashgari?
- BrikerMan/Kashgari has 2.4k stars on GitHub.
- Where can I find Kashgari?
- BrikerMan/Kashgari is on GitHub at https://github.com/BrikerMan/Kashgari.