word2gauss
Word embeddings library
This implementation provides a way to represent words as multivariate Gaussian distributions, allowing scalable word embeddings.
Gaussian word embeddings
190 stars
114 watching
52 forks
Language: Python
last commit: over 6 years ago Related projects:
| Repository | Description | Stars |
|---|---|---|
 largelymfs/topical_word_embeddings | A codebase implementing topical word embeddings using various NLP techniques as demonstrated in a paper accepted by AAAI'15. | 315 |
 rguthrie3/morphologicalpriorsforwordembeddings | A project implementing a method to incorporate morphological information into word embeddings using a neural network model | 52 |
 zhezhaoa/ngram2vec | A toolkit for learning high-quality word and text representations from ngram co-occurrence statistics | 846 |
 hassygo/charngram2vec | A repository providing a re-implementation of character n-gram embeddings for pre-training in natural language processing tasks | 23 |
 ynqa/wego | An open-source Go library for learning and manipulating vector representations of words | 474 |
 dswah/pygam | Provides an implementation of generalized additive models in Python for building flexible semi-parametric models | 875 |
 fanglanting/skip-gram-pytorch | A PyTorch implementation of the skip-gram model for learning word embeddings. | 188 |
 galuhsahid/indonesian-word-embedding | Demonstrates word embedding in Indonesian language using pre-trained Word2vec models | 20 |
 malllabiisc/wordgcn | A deep learning model that generates word embeddings by predicting words based on their dependency context | 290 |
 danieldk/go2vec | A package for reading and analyzing word embeddings from the word2vec format in Go. | 56 |
 zhangxiann/skip-gram | A Python implementation of a neural network model for learning word embeddings from text data | 6 |
 vzhong/embeddings | Provides fast and efficient word embeddings for natural language processing. | 223 |
 uhh-lt/sensegram | Tools and techniques for analyzing word meanings from word embeddings | 212 |
 fursovia/geometric_embedding | An implementation of a non-parameterized approach for building sentence representations | 19 |
 benathi/word2gm | An implementation of Athiwaratkun and Wilson's multimodal word distribution model using Gaussian Mixture distributions. | 283 |