cw2vec: Learning Chinese Word Embeddings with Stroke n-gram Information
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Updated
Mar 20, 2023 - C++
cw2vec: Learning Chinese Word Embeddings with Stroke n-gram Information
A word2vec negative sampling implementation with correct CBOW update.
word2vec++ is a Distributed Representations of Words (word2vec) library and tools implementation, written in C++11 from the scratch
Distributed Representations of Words using word2vec
Distributed Representations of Sentences and Documents
Golang "native" implementation of word2vec algorithm (word2vec++ port)
Diachronic Word Embedding Model based on Word2vec Skip-gram with Chebyshev approximation
Port of the word2vec distance program to a native node.js addon
Skipgram with Hierarchical Softmax
Source code for Xu: An Automated Query Expansion and Optimization Tool. Published IEEE COMPSAC 2019.
Telegram Data Clustering Contest (Bossy Gnu's submission )
An implementation of GloVe in C++ 11 with python interface
C/C++ code for word2vec and n-gram Subword model
Google Word2Vec Interface for Node.js with N-API
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