rnn-gru
There are 43 repositories under rnn-gru topic.
pvlachas/RNN-RC-Chaos
RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical systems.
pvlachas/RNN-Lyapunov-Spectrum
A data-driven method to calculate the Lyapunov exponent of a dynamical system employing a GRU-RNN.
nursnaaz/Deeplearning-and-NLP
Deep Learning notes and practical implementation with Tensorflow and keras. Text Analytics and practical application implementation with NLTK, Spacy and Gensim.
exchhattu/TimeseriesWeatherForecast-RNN-GRU-LSTM
Weather forecasting using recurrent neural network
Qianli-Wu/EEG_classification
The final project for ECE C147/C247, which evaluates the performance of CNN + Transformer and CNN + GRU + SimpleRNN models on an EEG dataset.
theRajeshReddy/StackOverFlow-Classification
Multiclass Multilabel prediction for stack overflow Questions using NLP
girivallepu/Trigger-word-detection
Trigger word detection is the technology that allows devices like Amazon Alexa, Google Home, Apple Siri, and Baidu DuerOS to wake up upon hearing a certain word
christospi/glc-nllp-21
Code and data for the NLLP 2021 paper: `Multi-granular Legal topic Classification on Greek Legislation`
ktxlh/manhattan-bigru
Siamese Manhattan Bi-GRU for semantic similarity between sentences
vls-00/Neural-Networks-for-Vaccine-Sentiment-Classifier
:robot: :capital_abcd: Making the vaccine sentiment classifier using tweets as datasets with the help of Pytorch Neural Networks and Glove word embeddings. Using both feed-forward nets and bidirectional stacked RNNs.
hakula139/Trump-bot
A simple Twitter bot which tries to mimic Donald Trump
hgayan7/DL-ML-notebooks
Collection of my Deep Learning and Machine Learning notebooks.
kartikchincholikar/Badminton-Analysis
An attempt to collect and use data to find a player's "Patterns of Play". These can be exploited in a match.
Nishant2018/GRU-Scratch-
Gated Recurrent Units (GRUs) are a type of RNN designed to capture long-term dependencies in sequential data
spirospolitis/aueb-msc-data-science
My repo of assignments for the AUEB M.Sc. in Data Science (2018-2020)
yashmaniya0/Respiratory-Sound-Classification-with-BiGRU-and-BiLSTMs
Used RNN architectures to classify the respiratory sound samples into four different categories. This will in turn help detect respiratory diseases in patients.
danielwatson6/neural-punctuator
Seq2Seq model that restores punctuation on English input text.
FrancescoGradi/DocumentClassificationwithHANandBERT
Comparison between RNNs and Attention in Document Classification
jungsoh/gru-trigger-word-detection
Recurrent neural network with GRUs for trigger word detection from an audio clip
robertocarlosmedina/rnn-gru-attention-translator
GRU-Gated Attention Model Implementation in order to train it to translate over Cap-verdian criole to English.
TravisMai/CO3029_DataMining_HK222
Stock price prediction using LSTM, GRU and LSTM + GRU (base on VNINDEX)
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
hardy30894/Music-Generation-RNN
Music Generation using Multi-Layer Gradient Recurrent Units. This involves using many-to-many type of RNN for input-output mapping.
henriklg/image-captioning-network
IN5400 Mandatory exercise 2
ilanazane/Sentence-Autocompletion-with-GRU
Sentence Autocompletion Project with GRU based RNN using Alice in Wonderland text dataset and NYT comments dataset
jashdubal/stackoverflow-classifier
Recurrent Neural Networks (RNNs) to classify Stack Overflow posts using PyTorch
lere01/tutorial_nqs
Introduction to Neural Quantum States
moradna/-Lyric-Generation-Recurrent-Neural-Network
Develop a Recurrent Neural Network (RNN) that can learn the lyrics and melodies of songs
peggia/imdb-sentiment-analysis-investigation
Étude et évaluation de différents modèles de Machine Learning et Deep Learning pour l'analyse des sentiments des critiques IMDB
akashkriplani/hand-gesture-recognition
A machine learning project for detecting hand gestures for Smart TVs using CNN and RNN
ArmanGuptaIISC/nlp_text_classification
Experiment for understanding RNN architecture
Jayveersinh-Raj/intro_NLP_tensorflow
This is a very brief notebook on NLP, it contains a "Disaster Analysis" project in which all the possible architectures were shown and described briefly.
vcwild/rnn-bike-predict
A deep learning project for Time Series Forecasting of bike count by using Recurrent Neural Networks and UCI Bike Sharing Dataset.