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.
The main features of brikerman/kashgari are: Pre-trained Language Models, General NLP Toolkits, Python NLP Libraries.
Open-source alternatives to brikerman/kashgari include: stanfordnlp/stanza — Stanza is a Python natural language processing library designed for tokenization, lemmatization, and dependency… huggingface/transformers — Transformers is a comprehensive library for machine learning that provides a unified interface for training,… chartbeat-labs/textacy — NLP, before and after spaCy. codertimo/bert-pytorch. huggingface/course — This project is an educational course and learning curriculum for implementing and fine-tuning transformer models… morvanzhou/tutorials — This repository is a comprehensive collection of instructional guides and practical examples for Python development,…
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