Embeddings.jl
Embedding library
Provides access to pre-trained word embeddings for NLP tasks.
Functions and data dependencies for loading various word embeddings (Word2Vec, FastText, GLoVE)
81 stars
8 watching
19 forks
Language: Julia
last commit: 9 months ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
juliatext/word2vec.jl | A Julia interface to the Word2Vec word embedding algorithm | 61 |
juliatext/languages.jl | A package for working with human languages in Julia. | 54 |
juliatext/textmodels.jl | Provides practical neural network-based models for natural language processing in Julia. | 29 |
juliatext/wordnet.jl | A Julia package providing an interface to Princeton's WordNet lexical database | 34 |
nlprinceton/text_embedding | A utility class for generating and evaluating document representations using word embeddings. | 54 |
juliatext/textanalysis.jl | A Julia package for text analysis and natural language processing | 373 |
juliaweb/http.jl | An HTTP client and server package for Julia language | 634 |
vzhong/embeddings | Provides fast and efficient word embeddings for natural language processing. | 223 |
atgreen/cl-embeddings | A Common Lisp library for generating word embeddings using neural network models. | 8 |
largelymfs/topical_word_embeddings | A codebase implementing topical word embeddings using various NLP techniques as demonstrated in a paper accepted by AAAI'15. | 315 |
juliainterop/juliacall | An R package that embeds Julia as an interactive computing environment | 269 |
juliaacademy/dataframes | An introduction to data wrangling with the DataFrames.jl package in Julia | 122 |
juliaweb/websockets.jl | A WebSockets library for Julia that provides a simple way to establish and manage WebSocket connections. | 158 |
juliareinforcementlearning/reinforcementlearninganintroduction.jl | Provides Julia code to generate figures and examples for an introductory reinforcement learning book | 310 |
malllabiisc/wordgcn | A deep learning model that generates word embeddings by predicting words based on their dependency context | 290 |