A simple many-to-one string generating Bidirectional LSTM using pytorch
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Updated
Nov 14, 2019 - Python
A simple many-to-one string generating Bidirectional LSTM using pytorch
LSTM
This repository aims is dedicated to exploring NLP problems using deep learning
AmazonReviewNLP is a deep learning project that utilizes LSTMs for sentiment analysis on Amazon customer reviews.
I crafted a robust sentiment analysis model featuring Bidirectional LSTM layers and embeddings. Leveraging a Sequential model structure and fine-tuning with 'sparse_categorical_crossentropy' loss and 'adam' optimizer, the implementation excels in capturing contextual nuances for precise emotion classification in natural language data.
This project employs a deep neural network architecture for the classification of toxic comments, utilizing the Kaggle competition dataset from the Jigsaw Toxic Comment Classification Challenge.
Repo containing Channel Quality Indicator (CQI) data from real car routes in Greece. It contains a reproducable notebook with the implementation of a Bidirectional LSTM Neural Network for real-time CQI forecasting in heterogeneous ultra-dense beyond-5G networks.
Code for the CONLL-SIGMORPHON-2018 shared task
Natural Language Processing Machine learning with python and keras (text generator)
A keras implementation of Bidirectional-LSTM for Named Entity Recognition.
Abstractive text summarization models having encoder decoder architecture built using just LSTMs, Bidirectional LSTMs and Hybrid architecture and trained on TPU. Also pre-trained word embedding is used to speed up the process.
Applying NLP models to detect sarcasm for the Twitter datasets using Bidirectional LSTMs
515k Hotel reviews classifier with bidirectional lstm
A news article's title and description should be classified into the following groups in order to solve this classification problem: 1-World, 2-Sports, 3-Business and 4-Science/Tech .Here is a sequence of data. This is a sequential problem, thus we may use bidirectional LSTM for classification since we have access to the data.
This Repository Contains the code implementation for neural machine translation between Tanglish and English
predictive analysis for currency exchange rates, still under active development
Master Thesis Code
Subjectivity removal and Polarity classification of movie reviews employing a shallow model (Multinomial Naive Bayes) and a deep model (Bidirectional LSTM with self-attention)
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