glove-embeddings topic

Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs

kamalkraj

Using pre trained word embeddings (Fasttext, Word2Vec)

PrashantRanjan09

Spanish word embeddings computed with different methods and from different corpora

dccuchile

Taking a pretrained GloVe model, and using it as a TensorFlow embedding weight layer **inside the GPU**. Therefore, you only need to send the index of the words through the GPU data transfer bus, redu...

guillaume-chevalier

CNN-based model to realize aspect extraction of restaurant reviews based on pre-trained word embeddings and part-of-speech tagging

yafangy

Fully batched seq2seq example based on practical-pytorch, and more extra features.

howardyclo

GloVe word vector embedding experiments (similar to Word2Vec)

brannondorsey

[not maintained anymore] [for study purpose] A simple PyTorch implementation for "Global Vectors for Word Representation".

kdrl

Sentiment Analysis using LSTM cells on Recurrent Networks. GloVe word embeddings were used for vector representation of words. Amazon Product Reviews were used as Dataset.

vishwassathish

NLP tutorial

ahmedbesbes