word2vec-GoogleNews-vectors
Word vector model
A repository hosting pre-trained word vector model (3 million 300-dimension English word vectors) from the Google News corpus.
word2vec Google News model
519 stars
13 watching
315 forks
last commit: over 5 years ago Related projects:
Repository | Description | Stars |
---|---|---|
| This is a word embedding model trained on Stack Overflow posts for use in natural language processing tasks. | 40 |
| Slims down a large pre-trained word2vec model to reduce size and improve loading time | 213 |
| Provides pre-trained word vectors for multiple languages to facilitate NLP tasks | 2,216 |
| A Scala implementation of the word2vec model representation. | 11 |
| A Python library that generates contextually-keyed word vectors from text data using a variation of the Word2Vec algorithm. | 1,630 |
| A tool for training word vectors using distributed neural network architectures | 1,525 |
| An implementation of a word embedding model that uses character n-grams and achieves state-of-the-art results in multiple NLP tasks | 803 |
| An R package for building and exploring word embedding models | 282 |
| A repository providing pre-built non-distributional word vector representations for NLP tasks | 62 |
| This implementation provides a way to represent words as multivariate Gaussian distributions, allowing scalable word embeddings. | 190 |
| A framework to learn word embeddings using lexical dictionaries | 115 |
| A PyTorch implementation of a model for generating dense vector representations of paragraphs from text data. | 413 |
| A package for reading and analyzing word embeddings from the word2vec format in Go. | 56 |
| A repository of wordnet lexicon in Hungarian language. | 11 |
| An RDF-based representation of Hungarian WordNet | 2 |