Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classification tasks. Contains code to easily train BERT, XLNet, RoBERTa, and XLM models for text classification.
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fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.
A list of NLP(Natural Language Processing) tutorials
Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.
A tool for learning vector representations of words and entities from Wikipedia
đ spaCy building blocks and visualizers for Streamlit apps
Data from GitHub ¡ snapshot Sep 24, 2026