reccurent-neural-network
There are 59 repositories under reccurent-neural-network topic.
omerbsezer/LSTM_RNN_Tutorials_with_Demo
LSTM-RNN Tutorial with LSTM and RNN Tutorial with Demo with Demo Projects such as Stock/Bitcoin Time Series Prediction, Sentiment Analysis, Music Generation using Keras-Tensorflow
ShivamDuggal4/adaptive-length-tokenizer
Adaptive Length Image Tokenization via Recurrent Allocation | How many tokens is an image worth ?
georgeyiasemis/Recurrent-Neural-Networks-from-scratch-using-PyTorch
LSTM, RNN and GRU implementations using Pytorch
reservoirpy/awesome-reservoir-computing
Awesome tutorials, papers, projects and tools for Reservoir Computing techniques like Echo State Networks (ESN).
TheAnkurGoswami/Human-Violence-Detection
A human violence detection & classification system using recurrent neural networks(RNN).
tomtom94/stockmarketpredictions
Educational predictions on stock market with Tensorflow.js sequential RNN with LSTM layers on a React web App.
purvasingh96/Deep-learning-with-neural-networks
This repo contains various use-cases of deep-learning implemented in Pytorch. It also contains summarized notes of each chapter from the book, 'Deep Learning' written by Ian Goodfellow.
DES-Lab/Extracting-FSM-From-RNNs
Black-box extraction of Finite-State Machines from RNNs.
dksifoua/Stock-Market-Prediction
Stock Market Prediction on High-Frequency Data Using soft computing based AI models
DeekshithRajBasa/Train-time-delay-prediction-using-machine-learning
Train Time Delay Prediction using machine learning
anjandeepsahni/speech_phoneme_prediction
Phoneme prediction from speech mel-spectrograms using RNN.
shubhamtiwari10/Modeling-System-Resource-Usage-for-Predictive-Scheduling
A machine learning-based solution for real-time resource allocation in the cloud (Time-series forecasting)
bill-kalog/S-LSTM_pytorch
sentence-state LSTM in PyTorch
liminchen/BPTTTutorial
This MATLAB program implements the complete BPTT process for GRU. We provide two algorithms here, a direct but quadratic time algorithm for easy understanding, and an optimized linear time algorithm.
NemesLaszlo/Social-Media-Analysis-based-on-COVID-19-with-Sentiment-Analysis-NER-and-Information-Extraction
This repository contains the social media data scraper and the notebooks of this analysis. Where we analise the Social Media posts - tweets with Sentiment Analysis then we analyse this results with Named Entity Recognition (NER) and Information Extraction methods to get a more accurate and detailed picture of this sentiment results.
ariss95/image_reconstructon_examples
image reconstruction with pytorch
Dave-Vedant/Deep_Learning_NanoDegree-Udacity
This repository contains different projects and deep learning concept notebooks. I mostly used PyTorch to develop ANN, RNN, CNN, GAN/DCGAN algorithms. I used AWS services such as Sagemaker, lambda, Restful API, EC2 and EMR during learning phase. 'Orca is deep diver dolphin, shows my honest approach to deep dive in the field of AI.
Dawidemm/wind-farm-power-forecasting
The project aims to utilize deep learning models to forecast wind farm power output using CNN, LSTM, RNN, and GRU artificial neural networks.
Rajspeaks/Deep-Learning-Coursera-Specialization-Programming-Assignments
Presenting all the solved programming assignments of Deep Learning Specialization by Deeplearning.ai (Andrew Ng)
giorgosnikolaou/Deep-Learning-NLP
Using Deep Learning for Natural Language Processing
nmineev/sarimannx
A time series model
nslyubaykin/rnns_for_pomdp
Recurrent Policies for Handling Partially Observable Environments
rakibulhossain/MLStuff
Deep Learning topics.
abs711/Visual-Control
Deep Learning models to fuse imu-based motion capture and first-person video data to improve the prediction of future knee and ankle joint kinematics, in complex real-world environments.
alextsaf/Thesis-NTUA
Thesis for NTUA: Multivariate Computational Load Timeseries Forecasting & Resource Provisioning with Machine Learning Techniques
Ayoub-etoullali/Electricity-Consumption-with-RNA-RNN
Analyzing electricity consumption patterns using Recurrent Neural Networks (RNNs) with RNA data integration.
Bsingstad/EEG-predict-cardiac-arrest-recovery
Public repository associated with: "MemoryInception: Predicting Neurological Recovery from EEG Using Recurrent Inceptions"
elifbayirr/RNN-model-with-yelp-dataset
Text Classification
hbrachemi/Bi-RNN-for-IQA
No Reference Image quality assessment using bidirectional recurrent networks.
pvlachas/LED-Proteins
Framework for learning effective reduced order dynamics of molecular systems.
splAcharya/RNN_Text_Generation
Generated text using RNN(Gate Recurrent Unit: GRU).
sweta-kesur-nlp-playground/nlp-play1-movie-reviews
Real time application of Sentiment Analysis on Movie Reviews. A Machine Learning Flask App hosted on Heroku and created on Google Colab. https://swetakesurnlp-playground.herokuapp.com
szafranskifilip/bitcoin_sentiment_analysis
Bitcoin sentiment and price analysis. Search for patterns affecting price changes. NLP, RNN, time series