bidirectional-gru
There are 18 repositories under bidirectional-gru topic.
uyaseen/theano-recurrence
Recurrent Neural Networks (RNN, GRU, LSTM) and their Bidirectional versions (BiRNN, BiGRU, BiLSTM) for word & character level language modelling in Theano
donghyeonk/han
TensorFlow implementation of Z. Hu et al. "Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction", WSDM 2018
LuisPB7/fnc-msc
Deep Learning model to tackle the Fake News Challenge
vinayakumarr/Deep-learning-for-Programmers
Learn to code deep learning algorithms
manashpratim/Sarcasm-Detection
Can sarcastic sentences be identified?
scorpionantimalware/scorpion-antimalware
Scorpion Anti-malware official repository
amarinho1/DeepLearning-StringMatching
Deep Learning for Approximate String Matching
tianhao-ai/Detecting-Machine-Generated-Text-COMP90051-2023S1-Project-1
This project is about to detecting the text generated by different LLM given prompt. The instance is labeled by Human and Machine, and this project utilised both traditional machine learning method and deep learning method to classify the instance.
baotramduong/COVID-19-mRNA-Vaccine-Degradation-Prediction
Build Bi-directional GRU to predict the degradation rates at each base of an RNA molecule which can be useful to develop models and design rules for RNA degradation to accelerate mRNA vaccine research and deliver a refrigerator-stable vaccine against SARS-CoV-2, the virus behind COVID-19.
ktxlh/manhattan-bigru
Siamese Manhattan Bi-GRU for semantic similarity between sentences
AdityaTheDev/TwitterSentimentAnalysis
Sentiment analysis (text mining and opinion mining) uses Natural Language Processing to determine whether data is positive, negative or neutral. Sentiment analysis is often performed on textual data to help businesses monitor brand and product sentiment in customer feedback, and understand customer needs.
giraffa126/language_model
bi-rnn language model
hvlkk/IMDb-Dataset-Sentiment-Analysis
Sentiment analysis on the IMDb dataset through a custom multivariate Bernoulli Naive Bayes implementation and a rudimentary BiGRU RNN.
mollha/Sarcasm-Detection
Developing a Sarcasm Detection Solution using Machine Learning and Deep Learning Approaches
antonioualex/Twitter-Sentiment-Analysis-RNN-GRU-Development
This project focuses on the development of a Recurrent Neural Network (RNN) model using Gated Recurrent Units (GRUs) for Twitter sentiment analysis, along with hyperparameter tuning. The performance of the RNN-GRU model is compared against two pre-existing models
giacoballoccu/DLA-SentimentAnalysis
Sentiment analysis using different types of Bidirectional Recurrent Neural Networks on Amazon reviews dataset. The results are confronted with two baseline models which are an SVM and a RF model.
manashpratim/Quora-Insincere-Questions-Classification
"Detect toxic content to improve online conversations"