sebischair/Lbl2Vec
Lbl2Vec learns jointly embedded label, document and word vectors to retrieve documents with predefined topics from an unlabeled document corpus.
Java interface for fastText
$ git clone https://github.com/vinhkhuc/JFastText.gitLbl2Vec learns jointly embedded label, document and word vectors to retrieve documents with predefined topics from an unlabeled document corpus.
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.
EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit
๐ spaCy building blocks and visualizers for Streamlit apps
This repository contains an easy and intuitive approach to few-shot classification using sentence-transformers or spaCy models, or zero-shot classification with Huggingface.
Text vectorization tool to outperform TFIDF for classification tasks
Data from GitHub ยท snapshot Sep 24, 2026