FastText for Node.js
$ git clone https://github.com/loretoparisi/fasttext.js.gitStarter 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.
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Java interface for fastText
An experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusive features and nice API. Written in Python and fully compatible with Scikit-learn.
About Text Pairs (Sentence Level) Classification (Similarity Modeling) Based on Neural Network.
Lbl2Vec learns jointly embedded label, document and word vectors to retrieve documents with predefined topics from an unlabeled document corpus.
Data from GitHub Β· snapshot Sep 24, 2026