| agnusmaximus/Word2Bits |
756 |
|
0 |
0 |
about 6 years ago |
0 |
|
2 |
apache-2.0 |
C++ |
| Quantized word vectors that take 8x-16x less space than regular word vectors |
| idio/wiki2vec |
587 |
|
0 |
0 |
over 8 years ago |
0 |
|
21 |
|
Java |
| Generating Vectors for DBpedia Entities via Word2Vec and Wikipedia Dumps. Questions? https://gitter.im/idio-opensource/Lobby |
| yahoo/FEL |
316 |
|
0 |
0 |
about 5 years ago |
0 |
|
10 |
other |
Java |
| Fast Entity Linker Toolkit for training models to link entities to KnowledgeBase (Wikipedia) in documents and queries. |
| chakki-works/chakin |
313 |
|
1 |
0 |
about 7 years ago |
7 |
March 27, 2019 |
8 |
mit |
Python |
| Simple downloader for pre-trained word vectors |
| singletongue/WikiEntVec |
129 |
|
0 |
0 |
almost 5 years ago |
0 |
|
2 |
mit |
Python |
| Distributed representations of words and named entities trained on Wikipedia. |
| roboreport/doc2vec-api |
92 |
|
0 |
0 |
over 3 years ago |
0 |
|
1 |
lgpl-2.1 |
Python |
| document embedding and machine learning script for beginners |
| philipperemy/japanese-words-to-vectors |
57 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
|
Python |
| Word2vec (word to vectors) approach for Japanese language using Gensim and Mecab. |
| ehsansherkat/ConVec |
53 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
other |
Python |
| In this project, we use skip-gram model to embed Wikipedia Concepts and Entities. The English version of Wikipedia contains more than five million pages, which suggest its capability to cover many English Entities, Phrases, and Concepts. Each Wikipedia page is considered as a concept. |
| arsava/dokuwiki-template-vector |
38 |
|
0 |
0 |
about 2 years ago |
0 |
|
54 |
gpl-2.0 |
PHP |
| "vector" brings you the MediaWiki/Wikipedia 2010 look and feel for DokuWiki. |
| jeffThompson/Word2VecAndTsne |
36 |
|
0 |
0 |
almost 9 years ago |
0 |
|
1 |
|
Python |
| Scripts demo-ing how to train a Word2Vec model and reduce its vector space |
