word2vec-scala
Vector Model
A Scala implementation of the word2vec model representation.
Scala port of the word2vec toolkit.
11 stars
4 watching
2 forks
Language: Scala
last commit: over 8 years ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
vefstathiou/so_word2vec | This is a word embedding model trained on Stack Overflow posts for use in natural language processing tasks. | 40 |
tca19/dict2vec | A framework to learn word embeddings using lexical dictionaries | 115 |
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 |
bmschmidt/wordvectors | An R package for building and exploring word embedding models | 282 |
explosion/sense2vec | A Python library that generates contextually-keyed word vectors from text data using a variation of the Word2Vec algorithm. | 1,630 |
juliatext/word2vec.jl | A Julia interface to the Word2Vec word embedding algorithm | 61 |
eyaler/word2vec-slim | Slims down a large pre-trained word2vec model to reduce size and improve loading time | 213 |
aesteve/vertx-scala-todomvc | A TodoMVC implementation using Vert.x in Scala | 1 |
kyubyong/wordvectors | Provides pre-trained word vectors for multiple languages to facilitate NLP tasks | 2,216 |
scala-ide/scalariform | A code formatter for Scala source code to improve readability and consistency. | 527 |
amplab/velox-modelserver | A system for serving machine learning predictions in real-time and integrating with Spark and KeystoneML. | 110 |
ytsvetko/qvec | A tool for evaluating word vectors by comparing them to feature matrices from lexical resources | 75 |
scalamath/vecmatlib | A Scala library providing data structures and operations for vectors and matrices in 3D graphics and linear algebra | 3 |
wikipedia2vec/wikipedia2vec | A tool for learning vector representations of words and entities from Wikipedia text data. | 944 |
raduionescu/vlawe-boswe | Software providing representations for text classification based on word embeddings and clustering | 10 |