magnitude

Vector embedding utility

A fast and efficient utility package for utilizing vector embeddings in machine learning models

A fast, efficient universal vector embedding utility package.

GitHub

2k stars
38 watching
120 forks
Language: Python
last commit: over 1 year ago
Linked from 1 awesome list

embeddingsfastfasttextgensimglovemachine-learningmachine-learning-librarymemory-efficientnatural-language-processingnlppythonvectorsword-embeddingsword2vec

Backlinks from these awesome lists:

Related projects:

Repository Description Stars
materialsintelligence/mat2vec Unsupervised word embeddings capture latent knowledge from materials science literature 619
vzhong/embeddings Provides fast and efficient word embeddings for natural language processing. 223
rguthrie3/morphologicalpriorsforwordembeddings A project implementing a method to incorporate morphological information into word embeddings using a neural network model 52
nlprinceton/text_embedding A utility class for generating and evaluating document representations using word embeddings. 54
fursovia/geometric_embedding An implementation of a non-parameterized approach for building sentence representations 19
gink03/alt-i2v An implementation of a deep learning-based image representation learning approach using a modified fully connected layer and transfer learning from VGG16 34
nlprinceton/alacarte Tools and code for inducing custom semantic vector representations from text data 104
jwieting/iclr2016 Code for training universal paraphrastic sentence embeddings and models on semantic similarity tasks 193
bigredt/vico Multi-sense word embeddings learned from visual cooccurrences 25
patterns-ai-core/milvus A Ruby wrapper around a vector search database API for efficient similarity searches in high-dimensional space 24
hit-scir/elmoformanylangs Provides pre-trained ELMo representations for multiple languages to improve NLP tasks. 1,463
harsh19/spine Transforms existing word embeddings into more interpretable ones by applying a novel extension of k-sparse autoencoder with stricter sparsity constraints 52
zhezhaoa/ngram2vec A toolkit for learning high-quality word and text representations from ngram co-occurrence statistics 846
malllabiisc/wordgcn A deep learning model that generates word embeddings by predicting words based on their dependency context 290
florianmai/word2mat A framework for learning sentence embeddings from matrices 21