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  1. 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.

    Python 1.7k 329

  2. classic Chinese punctuate experiment with keras using daizhige(殆知阁古代文献藏书) dataset

    Jupyter Notebook 27 2

  3. A video player for iOS, based on AVPlayer, support the horizontal, vertical screen. support adjust volume, brightness and seek by slide, support subtitles.

    Swift 1.5k 307

  4. Collection of Dash cheat sheets

    Ruby 561 360

  5. ⬆️ Rad Media Capture in Swift

    Swift 1.7k 188

  6. Kashgari 框架的中文文档

    13 6

804 contributions in the last year

Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Mon Wed Fri
Activity overview
Contributed to BrikerMan/Kashgari, BrikerMan/Kashgari-doc-zh, BrikerMan/BMPlayer and 5 other repositories
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Contribution activity

June 2020

Created an issue in BrikerMan/Kashgari that received 1 comment

[Document] Add Transformer Embedding's Document.

Add Transformer embedding document to docs.

1 comment

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