glove-embeddings

dccuchile/spanish-word-embeddings

Spanish word embeddings computed with different methods and from different corpora

PrashantRanjan09/WordEmbeddings-Elmo-Fasttext-Word2Vec

Using pre trained word embeddings (Fasttext, Word2Vec)

yafangy/Review_aspect_extraction

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

guillaume-chevalier/GloVe-as-a-TensorFlow-Embedding-Layer

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.

howardyclo/pytorch-seq2seq-example

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

brannondorsey/GloVe-experiments

GloVe word vector embedding experiments (similar to Word2Vec)

ezgisubasi/turkish-tweets-sentiment-analysis

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

ahmedbesbes/overview-and-benchmark-of-traditional-and-deep-learning-models-in-text-classification

NLP tutorial

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

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.

ngoquanghuy99/POS-Tagging-BiLSTM-CRF

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

vishwassathish/Sentiment-Analysis-for-product-reviews

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.

chen0040/keras-fake-news-generator-and-detector

Fake news generator and detector using keras

rshinde03/AI-Self-learning-Chatbot

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 and Skip-Gram models have been used for this task.

rtrevinnoc/FUTURE

A private, free, open-source search engine built on a P2P network

prakhargurawa/Product-Category-Prediction

Machine learning pipeline to predict relevant categories based on a product name and product description, using NLP and Deep learning concepts.

jimmyg1997/NTUA-slp-nlp

💻Speech and Natural Language Processing (SLP & NLP) Lab Assignments for ECE NTUA

SpringerNLP/Chapter11

Chapter 11: Transfer Learning/Domain Adaptation

kdrl/GloVe-PyTorch

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

vondersam/sdgs_text_classifier

Multi-Label Text Classification with Transfer Learning

aayux/glove-text-cnn

A text classification model with pretrained GloVe embeddings

shubham0204/glove-android

Power of GloVe word embeddings in Android

hate-alert/HateALERT-EVALITA

Code for replicating results of team 'hateminers' at EVALITA-2018 for AMI task

tanmaybinaykiya/Ask-Me-Question-Generating-Agent

Ask Me: Question Generating Agent

akash18tripathi/MAGNET-Multi-Label-Text-Classi-cation-using-Attention-based-Graph-Neural-Network

This GitHub repository provides an implementation of the paper "MAGNET: Multi-Label Text Classification using Attention-based Graph Neural Network" . MAGNET is a state-of-the-art approach for multi-label text classification, leveraging the power of graph neural networks (GNNs) and attention mechanisms.

ashutoshsingh0223/mittens

A fast implementation of GloVe, with optional retrofitting

chen0040/keras-search-engine

A simple document and image search engine implemented in keras

KhaledAshrafH/ChatGPT-Sentiment-Analysis

This project aims to perform sentiment analysis on tweets related to ChatGPT, a popular language model developed by OpenAI. The dataset used for training and testing consists of 219,293 tweets collected over a month. Each tweet is classified as positive ("good"), negative ("bad"), or ("neutral").

Shandilya21/summarization

A stacked LSTM based Network for Text Summarization Using Keras

Subangkar/Image-Captioning-Attention-PyTorch

An attention based sequential deep learning model implemented in pytorch to generate single line caption given an input image

Sweetflowerjulia/NLP-tag-classification-with-GloVe-and-LSTM

Natural Language Processing. From data preparation to building model and deploy the model to web service

Jeff09/Word-Sense-Disambiguation-using-Bidirectional-LSTM

MastersProject/fast-detection-of-duplicate-bug-report

Machine learning- based solution to the problem of duplicity in the bug reports repository.

PanosAntoniadis/slp-ntua

Lab exercises of Speech and Language Processing course in NTUA

pythonandml/dlbook

Repository for the free online book Oddly Satisfying Deep Learning from Scratch (link below!)

imraviagrawal/ReadingComprehension

Bi-Directional Attention Flow for Machine Comprehensions