| thunlp/sememe_prediction |
52 |
|
0 |
0 |
over 6 years ago |
0 |
|
1 |
mit |
Python |
| Codes for Lexical Sememe Prediction via Word Embeddings and Matrix Factorization (IJCAI 2017). |
| NLPrinceton/text_embedding |
48 |
|
0 |
0 |
about 6 years ago |
0 |
|
0 |
mit |
Python |
| utility class for building/evaluating document representations |
| benedekrozemberczki/NMFADMM |
39 |
|
0 |
0 |
over 3 years ago |
0 |
|
0 |
gpl-3.0 |
Python |
| A sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014). |
| rlebret/hpca |
29 |
|
0 |
0 |
over 9 years ago |
0 |
|
1 |
gpl-3.0 |
C |
| C++ implementation of the Hellinger PCA for computing word embeddings. |
| dustinstoltz/CMDist |
22 |
|
0 |
0 |
over 4 years ago |
0 |
|
0 |
gpl-3.0 |
R |
| DEPRECATED - The Concept Mover's Distance Method is now available in the text2map package. Concept Mover's Distance measure a document's conceptual engagement using word embeddings. |
| chao-ji/tf-word2vec |
22 |
|
0 |
0 |
almost 6 years ago |
0 |
|
0 |
|
Python |
| TensorFlow implementation of word2vec |
| a1da4/sppmi-svd |
10 |
|
0 |
0 |
about 4 years ago |
0 |
|
3 |
|
Python |
| Implementation of "Neural Word Embedding as Implicit Matrix Factorization" |
| martin-arvidsson/InterpretableWordEmbeddings |
6 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
|
R |
| This repository implements models described in ''Interpretale Word Embeddings via Informative Priors'' |
| abasirat/principal_word_vectors |
6 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
|
C |
| We use principal component analysis for word embedding. The method is able to process both annotated and raw corpora. |
| ikergarcia1996/Matrix-Benchmark |
6 |
|
0 |
0 |
over 4 years ago |
0 |
|
0 |
mit |
Python |
| A cupy (GPU) / numpy benchmark to measure how fast different hardware can perform matrix operations. |
