gru-neural-networks

There are 0 repository under gru-neural-networks topic.

mrosol / Nonlincausality
Python package for Granger causality test with nonlinear forecasting methods.
causality-analysis granger-causality nonlinear-models python causality causality-test nonlinear-causality prediction time-series forecasting neural-networks recurrent-neural-networks multilayer-perceptron-network lstm-neural-networks gru-neural-networks
Language:Python 62
ninja3697 / Stocks-Price-Prediction-using-Multivariate-Analysis
time-series-forecasting stock-price-prediction rnn-keras lstm-neural-networks gru-neural-networks
Language:Jupyter Notebook 52
BrenoCPimenta / PokerAI
AI algorithm that plays Texas hold 'em poker (part of university research in imperfect information games)
gametheory poker ai gru lstm neural-network rnn rnn-pytorch pytorch lstm-neural-networks gru-model gru-neural-networks texas-holdem texas-holdem-poker
Language:Python 20
0zgur0 / STAckable-Recurrent-network
[PAMI 2021] Gating Revisited: Deep Multi-layer RNNs That Can Be Trained
rnn rnn-tensorflow deep-learning lstm gru lstm-neural-network gru-neural-networks pami-2021
Language:Python 17
saaltone / SANNet
SANNet Neural Network Framework
machine-learning artificial-intelligence neural-networks deep-learning deep-neural-networks convolutional-neural-networks recurrent-neural-networks lstm lstm-neural-networks gru-neural-networks reinforcement-learning deep-reinforcement-learning convolutional-layers tic-tac-toe travelling-salesman-problem maze automatic-differentiation neural-network monte-carlo-tree-search
Language:Java 17
HRSadeghi / NeuralPersianPoet
Neural Persian Poet: A sequence-to-sequence model for composing Persian poetry
persian neural-network persian-poetry lstm lstm-neural-networks seq2seq-model sequence-to-sequence seq2seq transformer transformers-models gru-model gru-neural-networks lstm-model lstm-neural-network lstm-attention composing-persian-poetry persian-poets nlp natural-language-processing dataset
Language:Jupyter Notebook 14
HristovB / Speech_Recognition_Macedonian
Speech recognition model for recognising Macedonian spoken language.
speech-recognition machine-learning end-to-end-speech-recognition macedonian lstm-neural-networks convolutional-neural-networks convolutional-rnn attention-network ctc-loss gplv3 python38 gru-neural-networks
Language:Python 4
AB00k / 6-Complete-NLP-tutorial-GRU-LSTM-RNN-Sentiment_Analysis
This repository contains the complete tutorial with implementation of NLP and from scrach implementation of GRU and LSTM and RNN architectures in pytorch. Imbd data set used for sentiment analysis on each of these architectures. And also have the implementation of concepts like embeddings etc.
data-science deep-learning embeddings gru-neural-networks lstm-neural-networks nlp pytorch-implementation recurrent-neural-networks sentiment-analysis
Language:Jupyter Notebook 3
giannhskp / Artificial-Intelligence-II_Natural-Language-Processing
Sentiment Classifier using: Softmax-Regression, Feed-Forward Neural Network, Bidirectional stacked LSTM/GRU Recursive Neural Network, fine-tuning on BERT pre-trained model. Question Answering using BERT pre-trained model and fine-tuning it on various datasets (SQuAD, TriviaQA, NewsQ, Natural Questions, QuAC)
sentiment-classification softmax-regression feed-forward-neural-networks recursive-neural-networks lstm-neural-networks gru-neural-networks bert bert-model bert-fine-tuning question-answering squad-dataset triviaqa newsqa natural-questions quac-dataset
Language:Jupyter Notebook 2
AshishSara / MIMICIII-Predicting-Mortality-within-48-hours
Established ML benchmark for 48-mortality prediction using MIMIC-III data and the FIDDLE Preprocessing Technique
gru-neural-networks lstm-neural-networks mimic-iii ml
Language:Jupyter Notebook 1
Bh-an / Image-captioning
ML models for Image captoining using CNN+LSTM and ResNet+GRU on the Flickr8k dataset
caption-generation gru-neural-networks language-model lstm-neural-network python resnet
Language:Jupyter Notebook 1
JagtapSagar / Neural-Networks
neural-networks cnn-keras cnn-classification traffic-sign-classification bert-model rnn-tensorflow lstm gru lstm-neural-networks gru-neural-networks
Language:Jupyter Notebook 1
jillmpla / thesis_recurrent_neural_nets
Predicting solar flares with simple RNNs, LSTMs and GRUs.
neural-networks recurrent-neural-network lstm-neural-network solar-flare space-weather gru-neural-networks simplernns keras-classification-models
Language:Jupyter Notebook 1
prakharjadaun / Opinion-Classification-of-IMDB-Moview-Reviews
Performed text categorization on 50K IMDB movie reviews using LSTM and GRU
gru-neural-networks keras lstm sentiment-analysis
Language:Jupyter Notebook 1
Seeam2590 / disease_prediction
Predicting COVID-19 Cases Using Time Series Analysis with Neural Networks in Python. Video of the presentation: https://www.youtube.com/watch?v=XtAontZl-IE&feature=youtu.be
python time-series-analysis covid19 feedforward-neural-network lstm-neural-networks gru-neural-networks
Language:Jupyter Notebook 1
spyros-briakos / Bidirectional-stacked-RNN-with-LSTM-GRU
Our goal is to develop a sentiment classifier using a bidirectional stacked RNN with LSTM/GRU cells for twitter sentiment analysis.
twitter-sentiment-analysis sentiment-classifier recurrent-neural-networks lstm-neural-networks gru-neural-networks pytorch google-colab
Language:Jupyter Notebook 1
zebaKarishma / Toxic-Comment-Classification
The study of negative online behavior, like toxic comments i.e. comments that are rude and disrespectful or otherwise are likely to make someone leave a conversation.
cudnn deep-learning fasttext-embeddings glove-embeddings gradient-boosting gru-neural-networks lstm-model nlp toxic-comment-classification
Language:Python 1
AdvaitS / ANN
Performance analysis of different Artificial Neural Networks
autoencoders gru-neural-networks lstm-neural-networks
Language:Jupyter Notebook 0
MohammadWasil / Visual-Question-Answering-VQA
keras tensorflow google-colab computer-vision coco-image-dataset natural-language recurrent convolu vgg16 lstm-neural-networks gru-neural-networks python-generator glove-embeddings
Language:Jupyter Notebook 0
Rittikasur / Sentimental-Analysis-using-LSTM-GRU
Sentiment analysis lets you analyze the sentiment behind a given piece of text. In this notebook, we have done sentimental analysis for amazon shoe reviews, using 2 RNN models(LSTM and GRU)
amazon-reviews amazon-reviews-sentiment-analysis gru-neural-networks lstm-neural-networks recurrent-neural-networks rnn sentiment-analysis sentiment-classification
Language:Jupyter Notebook 0
shanujshekhar / Improvement-on-Knowledge-backed-Generation-Model-Using-Post-Modifier-Dataset
The task of post modifier generation requires to automatically generate a post modifier phrase describing the target entity (an entity essentially refers to a noun but here we only consider people) that contextually fits in the input sentence.
gru-neural-networks lstm-neural-networks natural-language-processing rnn-model
Language:Python 0
super-m-a-n / Covid19-vaccine-tweets-sentiment-analysis
Deep learning methods for sentiment analysis classification of covid-19 vaccination tweets
attention-is-all-you-need attention-mechanisms bert-fine-tuning bert-model covid-19 feedforward-neural-network gru-neural-networks lstm-sentiment-analysis natural-language-processing softmax-regression
Language:Jupyter Notebook 0
frankwillard / Graduate-Deep-Neural-Nets-Homework
Homework for Graduate Deep Learning Course
adversarial-attacks deep-learning pytorch robustness pruning-optimization quantized-neural-networks gru-neural-networks lstm-neural-networks
Language:Jupyter Notebook
NavinBondade / Forecasting-The-Bitcoin-Price-With-An-R2-Score-Of-0.98-MSE-Of-1.17
Here I have created a Gated Recurrent Units based deep learning model which is capable of predicting and forecasting bitcoin prices with a Root Mean Squared Error of 1.7 and R2 Score of 0.98.
gru-neural-networks deep-learning data-science
Language:Jupyter Notebook
sebtardieu / Forecasting-COVID-19-Deaths-using-Machine-Learning-Models
In the landscape of healthcare, data science is imperative in guiding pivotal public health decisions, optimizing resource allocation, and establishing tangible avenues. This project aims to contribute to these objectives by embarking on a comprehensive exploration of a dataset through data cleaning, preprocessing, and compelling visualizations.
convolutional-neural-networks covid-19 gru-neural-networks lstm-neural-networks machine-learning
Language:Jupyter Notebook

gru-neural-networks

mrosol / Nonlincausality

ninja3697 / Stocks-Price-Prediction-using-Multivariate-Analysis

BrenoCPimenta / PokerAI

0zgur0 / STAckable-Recurrent-network

saaltone / SANNet

HRSadeghi / NeuralPersianPoet

HristovB / Speech_Recognition_Macedonian

AB00k / 6-Complete-NLP-tutorial-GRU-LSTM-RNN-Sentiment_Analysis

giannhskp / Artificial-Intelligence-II_Natural-Language-Processing

AshishSara / MIMICIII-Predicting-Mortality-within-48-hours

Bh-an / Image-captioning

JagtapSagar / Neural-Networks

jillmpla / thesis_recurrent_neural_nets

prakharjadaun / Opinion-Classification-of-IMDB-Moview-Reviews

Seeam2590 / disease_prediction

spyros-briakos / Bidirectional-stacked-RNN-with-LSTM-GRU

zebaKarishma / Toxic-Comment-Classification

AdvaitS / ANN

MohammadWasil / Visual-Question-Answering-VQA

Rittikasur / Sentimental-Analysis-using-LSTM-GRU

shanujshekhar / Improvement-on-Knowledge-backed-Generation-Model-Using-Post-Modifier-Dataset

super-m-a-n / Covid19-vaccine-tweets-sentiment-analysis

frankwillard / Graduate-Deep-Neural-Nets-Homework

NavinBondade / Forecasting-The-Bitcoin-Price-With-An-R2-Score-Of-0.98-MSE-Of-1.17

sebtardieu / Forecasting-COVID-19-Deaths-using-Machine-Learning-Models