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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, reducing data transfer overhead.

neural-network tensorflow gpu word2vec word-embeddings gpu-acceleration gpu-tensorflow cosine-similarity glove glove-embeddings tensorflow-layers

Updated Oct 13, 2018
Jupyter Notebook

howardyclo / pytorch-seq2seq-example

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

nlp jupyter-notebook pytorch checkpoint seq2seq tensorboard nlp-machine-learning pytorch-tutorial glove-embeddings pytorch-nlp-tutorial shared-embedding attention-seq2seq tensorboard-visualization tie-embedding pretrained-embedding fixed-embedding

Updated Mar 11, 2018
Jupyter Notebook

brannondorsey / GloVe-experiments

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GloVe word vector embedding experiments (similar to Word2Vec)

nlp machine-learning word2vec embeddings glove k-means word-game glove-vectors glove-embeddings k-nearest-neighbors

Updated Jul 6, 2023
Python

ezgisubasi / turkish-tweets-sentiment-analysis

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This sentiment analysis project determines whether the tweets posted in the Turkish language on Twitter are positive or negative.

nlp deep-learning tweets sentiment-analysis keras n-grams data-visualization glove twitter-sentiment-analysis turkish-language zemberek-nlp glove-embeddings zemberek text-preprocessing turkish-nlp

Updated Oct 10, 2023
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ahmedbesbes / overview-and-benchmark-of-traditional-and-deep-learning-models-in-text-classification

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NLP tutorial

blog nlp tutorial tweets sentiment-analysis text-classification sklearn word-embeddings keras recurrent-neural-networks bag-of-words deeplearning convolutional-neural-networks tfidf glove-embeddings character-ngrams word-ngrams

Updated Jun 13, 2018
Jupyter Notebook

SatyamSoni23 / Smart-Question-Answering-System-on-Document

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It's Smart-Question Answering System on short as well as long documents. It can automatically find answers to matching questions directly from documents. The deep learning language model converts the questions and documents to semantic vectors to find the matching answer.

nlp word2vec word-embeddings bert glove-embeddings bert-embedding cdqa fine-tuning-bert

Updated Feb 3, 2024
Jupyter Notebook

ngoquanghuy99 / POS-Tagging-BiLSTM-CRF

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A Tensorflow 2, Keras implementation of POS tagging using Bidirectional LSTM-CRF on Penn Treebank corpus (WSJ)

word-embeddings keras penn-treebank conditional-random-fields sequence-labeling bidirectional-lstm glove-embeddings tensorflow2 part-of-speech-tagging

Updated Oct 17, 2021
Python

vishwassathish / Sentiment-Analysis-for-product-reviews

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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.

nlp deep-learning sentiment-analysis embeddings glove product-reviews glove-embeddings amazon-product-review glove-dataset

Updated Jan 14, 2018
Python

rshinde03 / AI-Self-learning-Chatbot

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A neural network-based AI chatbot has been designed that uses LSTM as its training model for both encoding and decoding. The chatbot works like an open domain chatbot that can answer day-to-day questions involved in human conversations. Words embeddings are the most important part of designing a neural network-based chatbot. Glove Word Embedding…

nlp natural-language-processing ai chatbot lstm self-learning nlp-machine-learning skipgram lstm-neural-networks glove-embeddings