Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Text_embedding | 48 | 4 years ago | mit | Python | ||||||
utility class for building/evaluating document representations | ||||||||||
Nmfadmm | 39 | 2 years ago | 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). | ||||||||||
Hpca | 29 | 7 years ago | 1 | gpl-3.0 | C | |||||
C++ implementation of the Hellinger PCA for computing word embeddings. | ||||||||||
Cmdist | 22 | 3 years ago | 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. | ||||||||||
Tf Word2vec | 22 | 4 years ago | Python | |||||||
TensorFlow implementation of word2vec | ||||||||||
Sppmi Svd | 10 | 2 years ago | 3 | Python | ||||||
Implementation of "Neural Word Embedding as Implicit Matrix Factorization" | ||||||||||
Interpretablewordembeddings | 6 | 5 years ago | R | |||||||
This repository implements models described in ''Interpretale Word Embeddings via Informative Priors'' | ||||||||||
Principal_word_vectors | 6 | 5 years ago | C | |||||||
We use principal component analysis for word embedding. The method is able to process both annotated and raw corpora. | ||||||||||
Text_embedding | 6 | 5 years ago | 7 | Python | ||||||
Inferring vector of unseen words | ||||||||||
Matrix Benchmark | 6 | 3 years ago | mit | Python | ||||||
A cupy (GPU) / numpy benchmark to measure how fast different hardware can perform matrix operations. |