GitHub topics: bidirectional-rnn

Repositories

Vaishnavi-vi/Fake_News_Classifier_-

The Fake News Classifier is a deep learning-based project aimed at identifying whether a given news article is real or fake automatic detection of fake news has become an essential task in the field of Natural Language Processing (NLP).

langage: Jupyter Notebook - taille: 11,2 Mo - dernière synchronisation: il y a 2 mois - enregistré: il y a 2 mois - étoiles: 1 - forks: 0

Parth-D3/Memory-Retaining-Neural-Networks

Repository for neural network which retain memory from sequential data like RNN, LSTM, GRU, etc.

taille: 1000 octets - dernière synchronisation: il y a 3 mois - enregistré: il y a 3 mois - étoiles: 0 - forks: 0

uyaseen/theano-recurrence

Recurrent Neural Networks (RNN, GRU, LSTM) and their Bidirectional versions (BiRNN, BiGRU, BiLSTM) for word & character level language modelling in Theano

langage: Python - taille: 277 ko - dernière synchronisation: il y a environ 2 mois - enregistré: il y a presque 9 ans - étoiles: 44 - forks: 24

Soumya-Chakraborty/Unsupervised-video-summarization-with-deep-GAN-reinforcement-learning

Unsupervised video summarization with deep(GAN) reinforcement learning

langage: Python - taille: 243 ko - dernière synchronisation: il y a 4 mois - enregistré: il y a environ un an - étoiles: 6 - forks: 1

abeed04/Sentiment-Analysis-using-Recurrent-Neural-Networks

Bidirectional RNNs are used to analyze the sentiment (positive, negative, neutral) of movie reviews. .

langage: Jupyter Notebook - taille: 24,8 Mo - dernière synchronisation: il y a 7 mois - enregistré: il y a environ un an - étoiles: 0 - forks: 0

Ohara124c41/NLP-Machine_Translation

Build a deep neural network that functions as part of an end-to-end machine translation pipeline. Your completed pipeline will accept English text as input and return the French translation. You’ll be able to explore several recurrent neural network architectures and compare their performance.

langage: HTML - taille: 4,21 Mo - dernière synchronisation: il y a plus d'un an - enregistré: il y a plus de 5 ans - étoiles: 0 - forks: 0

reshalfahsi/action-recognition

Action Recognition Using CNN + Bidirectional RNN

langage: Jupyter Notebook - taille: 8,65 Mo - dernière synchronisation: il y a 3 mois - enregistré: il y a plus d'un an - étoiles: 0 - forks: 0

mohadeseh-ghafoori/Coursera-Deep-Learning-Specialization

langage: Jupyter Notebook - taille: 4,83 Mo - dernière synchronisation: il y a plus d'un an - enregistré: il y a plus d'un an - étoiles: 1 - forks: 0

boxreb14/aind2-nlp-capstone

Udacity Artificial Intelligence Nanodegree Capstone Project. A Machine Translator for the translation of english to french. Trained four models Simple RNN, Embedded RNN, Bidirectional RNN and one with all three features with the later having maximum accuracy.

langage: Jupyter Notebook - taille: 2,35 Mo - dernière synchronisation: il y a plus d'un an - enregistré: il y a plus de 7 ans - étoiles: 0 - forks: 0

tonylay7/bouldering_route_classification

A third year project that revolves around classification of climbing routes using image processing and deep learning techniques

langage: Jupyter Notebook - taille: 202 Mo - dernière synchronisation: il y a plus d'un an - enregistré: il y a plus d'un an - étoiles: 0 - forks: 0

tooth2/Machine-Translation

A deep neural network that functions as part of an end-to-end machine translation pipeline.

langage: Jupyter Notebook - taille: 1,07 Mo - dernière synchronisation: il y a plus d'un an - enregistré: il y a plus de 4 ans - étoiles: 0 - forks: 0

gyunggyung/Keras-Applications

Keras 응용(CNN, RNN, GAN, DNN, ETC...) 사용법 예시

taille: 348 Mo - dernière synchronisation: il y a presque 2 ans - enregistré: il y a plus de 4 ans - étoiles: 9 - forks: 7

arunarn2/CharacterModelswithRNN-LSTM

Character level recurrent neural networks for Sentiment Analysis

langage: Python - taille: 1,25 Mo - dernière synchronisation: il y a presque 2 ans - enregistré: il y a presque 7 ans - étoiles: 5 - forks: 1

ntrang086/nlp_machine_translation

build a deep neural network that functions as part of an end-to-end machine translation pipeline; the completed pipeline accepts English text as input and returns the French translation.

langage: Python - taille: 2,39 Mo - dernière synchronisation: il y a presque 2 ans - enregistré: il y a plus de 7 ans - étoiles: 3 - forks: 2

vinayakumarr/Deep-learning-for-Programmers

Learn to code deep learning algorithms

langage: Jupyter Notebook - taille: 18,6 ko - dernière synchronisation: il y a presque 2 ans - enregistré: il y a plus de 6 ans - étoiles: 8 - forks: 16

Sitaras/Twitter-Covid-Vaccination-Data-Sentiment-Analysis

🦠| Sentiment analysis on tweets about covid-19 vaccinations using Soft-max Regression, FNN, RNN and BERT-Base-uncased.

langage: Jupyter Notebook - taille: 2,95 Mo - dernière synchronisation: il y a presque 2 ans - enregistré: il y a plus de 3 ans - étoiles: 2 - forks: 0

sea-boat/DeepLearning-Lab

Code lab for deep learning. Including rnn,seq2seq,word2vec,cross entropy,bidirectional rnn,convolution operation,pooling operation,InceptionV3,transfer learning.

langage: Python - taille: 18,3 Mo - dernière synchronisation: il y a presque 2 ans - enregistré: il y a plus de 6 ans - étoiles: 84 - forks: 53

alexaapo/Bidirectional-stacked-RNN-with-LSTM-GRU

Sentiment Classifier using a bidirectional stacked RNN with LSTM/GRU cells for the Twitter sentiment analysis dataset

langage: Jupyter Notebook - taille: 96,7 ko - dernière synchronisation: il y a presque 2 ans - enregistré: il y a plus de 4 ans - étoiles: 2 - forks: 1

spChalk/Vaccine-Sentiment-Classifier

:syringe: Vaccine Sentiment Classifier is a deep learning classifier trained on real world twitter data, that distinguishes 3 types of tweets: Neutral, Anti-vax & Pro-vax.

langage: Jupyter Notebook - taille: 10 Mo - dernière synchronisation: il y a environ 2 ans - enregistré: il y a presque 3 ans - étoiles: 4 - forks: 0

Russolves/Sentiment-Analysis-with-GRU

This repository contains three variants of a Sentiment Analysis model that uses a GRU (Gated Recurrent Unit) to predict the sentiment of a given text as either positive or negative. The models were built using PyTorch, and the training and testing data came from DLStudio

langage: Python - taille: 50,8 ko - dernière synchronisation: il y a plus d'un an - enregistré: il y a plus d'un an - étoiles: 0 - forks: 0

patrikasvanagas/Bi-LSTM-Glove-Sentiment-Classification

End-to-end review sentiment classification with text preprocessing, Bidirectional Long Short-Term Memory networks and Glove embeddings.

langage: Jupyter Notebook - taille: 435 ko - dernière synchronisation: il y a 6 mois - enregistré: il y a presque 2 ans - étoiles: 0 - forks: 0

DataSenseiAryan/TS3000_TheChatBOT

Its a social networking chat-bot trained on Reddit dataset . It supports open bounded queries developed on the concept of Neural Machine Translation. Beware of its being sarcastic just like its creator :stuck_out_tongue_closed_eyes: BDW it uses Pytorch framework and Python3.

langage: Python - taille: 704 ko - dernière synchronisation: il y a plus de 2 ans - enregistré: il y a plus de 4 ans - étoiles: 23 - forks: 5

ProjectXMG999/ProjectXMG999-NLP-Text-generation-classification

Some mini projects and training code

langage: Jupyter Notebook - taille: 2,27 Mo - dernière synchronisation: il y a plus de 2 ans - enregistré: il y a plus de 2 ans - étoiles: 1 - forks: 0

bilsengroup/deep-triage Fork de hacetin/deep-triage 📦

Implementation of 'DeepTriage: Exploring the Effectiveness of Deep Learning for Bug Triaging'

langage: Python - taille: 102 Mo - dernière synchronisation: il y a 12 mois - enregistré: il y a plus de 6 ans - étoiles: 0 - forks: 0

mohadeseh-ghafoori/Neural-Machine-Translation

langage: Jupyter Notebook - taille: 4,88 ko - dernière synchronisation: il y a plus de 2 ans - enregistré: il y a presque 3 ans - étoiles: 0 - forks: 0

mohadeseh-ghafoori/Trigger-Word-Detection

langage: Jupyter Notebook - taille: 1,82 Mo - dernière synchronisation: il y a plus de 2 ans - enregistré: il y a presque 3 ans - étoiles: 0 - forks: 0

abhishek-niranjan/tensorflow2-rnn-tutorials

Tensorflow 2.0 tutorials for RNN based architectures for textual problems

langage: Jupyter Notebook - taille: 170 ko - dernière synchronisation: il y a plus de 2 ans - enregistré: il y a environ 5 ans - étoiles: 8 - forks: 1

yjpark1/multiagent_rl

Multi-Agent Reinforcement Learning with Particle Env. (on going)

langage: Python - taille: 629 ko - dernière synchronisation: il y a plus de 2 ans - enregistré: il y a environ 5 ans - étoiles: 5 - forks: 6

iitrsamrat/deeplearning.ai.sequence-model-papers

taille: 21,5 ko - dernière synchronisation: il y a plus de 2 ans - enregistré: il y a plus de 7 ans - étoiles: 17 - forks: 8

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.

langage: Jupyter Notebook - taille: 43 ko - dernière synchronisation: il y a environ 2 ans - enregistré: il y a presque 4 ans - étoiles: 0 - forks: 0