word2vec-slim
Word model reducer
Slims down a large pre-trained word2vec model to reduce size and improve loading time
word2vec Google News model slimmed down to 300k English words
213 stars
11 watching
37 forks
Language: Python
last commit: about 9 years agoRelated projects:
| Repository | Description | Stars |
|---|---|---|
 mmihaltz/word2vec-googlenews-vectors | A repository hosting pre-trained word vector model (3 million 300-dimension English word vectors) from the Google News corpus. | 519 |
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 fanglanting/skip-gram-pytorch | A PyTorch implementation of the skip-gram model for learning word embeddings. | 188 |
 refefer/word2vec-scala | A Scala implementation of the word2vec model representation. | 11 |
 danieldk/go2vec | A package for reading and analyzing word embeddings from the word2vec format in Go. | 56 |
 vyraun/half-size | An algorithm to reduce word embeddings to a specified size while maintaining performance | 129 |
 wikipedia2vec/wikipedia2vec | A tool for learning vector representations of words and entities from Wikipedia text data. | 946 |
 auspicious3000/contentvec | An implementation of a self-supervised speech representation model using PyTorch and disentangled speaker embeddings | 471 |
 alexandres/lexvec | An implementation of a word embedding model that uses character n-grams and achieves state-of-the-art results in multiple NLP tasks | 803 |
 cod3licious/conec | A library for training and evaluating a type of word embedding model that extends the original Word2Vec algorithm | 20 |
 wooorm/stmr.c | A C implementation of a stemming algorithm to reduce words to their base form | 39 |
 seomoz/word2gauss | This implementation provides a way to represent words as multivariate Gaussian distributions, allowing scalable word embeddings. | 190 |
 equinor/segyio | A fast Python library for reading and writing seismic data formats | 494 |
 kyubyong/wordvectors | Provides pre-trained word vectors for multiple languages to facilitate NLP tasks | 2,216 |