explosion/sense2vec
๐ฆ Contextually-keyed word vectors
A personal semantic search engine capable of surfacing relevant bookmarks, journal entries, notes, blogs, contacts, and more, built on an efficient document embedding algorithm and Monocle's personal search index.
$ git clone https://github.com/thesephist/revery.git๐ฆ Contextually-keyed word vectors
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.
Fast vectorization, topic modeling, distances and GloVe word embeddings in R.
CS224n: Natural Language Processing with Deep Learning Assignments Winter, 2017
Programming Assignments and Lectures for Stanford's CS 224: Natural Language Processing with Deep Learning
TextAugment: Text Augmentation Library
Data from GitHub ยท snapshot Sep 24, 2026