#Gru

mravanelli

pytorch-kaldi

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

pyaf

load_forecasting

Forecasting electric power load of Delhi using ARIMA, RNN, LSTM, and GRU models

lvapeab

nmt-keras

Neural Machine Translation with Keras

buomsoo-kim

Easy-deep-learning-with-Keras

Keras tutorial for beginners (using TF backend)

JonathanRaiman

theano_lstm

:microscope: Nano size Theano LSTM module

rakeshvar

rnn_ctc

Recurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.

OverLordGoldDragon

see-rnn

RNN and general weights, gradients, & activations visualization in Keras & TensorFlow

AFAgarap

gru-svm

[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection

GiorgosXou

NeuralNetworks

A header-only neural network library for microcontrollers, with partial bare-metal & native-os support.

dudeperf3ct

DL_Notebooks

This repo contains all the notebooks mentioned in blog.

dave-fernandes

ECGClassifier

CNN, RNN, and Bayesian NN classification for ECG time-series (using TensorFlow in Swift and Python)

pratikpv

malware_detect2

Malware Classification using Machine learning

victor369basu

Respiratory-diseases-recognition-through-respiratory-sound-with-the-help-of-deep-neural-network

Prediction of respiratory diseases such as COPD(Chronic obstructive pulmonary disease), URTI(upper respiratory tract infection), Bronchiectasis, Pneumonia, Bronchiolitis with the help of deep neural networks or deep learning. We have constructed a deep neural network model that takes in respiratory sound as input and classifies the condition of its respiratory system. It not only classifies among the above-mentioned disease but also classifies if a person’s respiratory system is healthy or not with higher accuracy and precision.

emirhanai

Cryptocurrency-Prediction-with-Artificial-Intelligence-V3.0-GRU-Neural-Network

Cryptocurrency Prediction with Artificial Intelligence V3.0 [GRU Neural Network]

sunsided

tensorflow-lstm-sin

TensorFlow 1.3 experiment with LSTM (and GRU) RNNs for sine prediction

dependable-cps

FDIA-PdM

False Data Injection Attacks in Internet of Things and Deep Learning enabled Predictive Analytics

RodolfoLSS

stock-prediction-pytorch

Neural Networks to predict stock price

jefkine

zeta-learn

zeta-lean: minimalistic python machine learning library built on top of numpy and matplotlib

UCA-Datalab

nilm-thresholding

:warning: This repository is no longer actively maintained. It previously dealt with Non-Intrusive Load Monitoring (NILM), focusing on predicting household appliance status from aggregated power load data. We explored different thresholding methods and evaluated deep learning models for regression and classification tasks.

TrafficGCN

ST-GCN

Repository for advanced traffic forecasting models integrating GCN, LSTM/Bi-LSTM, and attention mechanisms for improved accuracy, including weather data processing.

Snigdho8869

Multiclass-Text-Classification

Natural Language Processing for Multiclass Classification: A repository containing NLP techniques for multiclass classification of text data.